About the Role

We’re looking for a Staff Software Engineer to build AI-powered tools and integrations that plug directly into game engines, editors, clients, and backend services. You’ll deliver high-quality C++ integrations across proprietary studio engines, ship robust build/QA automation, and partner with multiple PlayStation Studios teams to make AI an everyday part of development.

What You’ll Be Doing

• Build and maintain engine/editor plugins, runtime SDKs, and services that integrate AI (LLMs and related systems) into game clients, servers, and build tools.
• Ship performant, memory-aware C++ by profiling, optimizing, and debugging across PC/console builds with tight frame budgets.
• Design stable API surfaces for game teams (C++/C API, gRPC/HTTP) with versioning, telemetry, and backward compatibility.
• Stand up CI/CD for game builds and tools (UBT or proprietary build systems; artifact packaging; nightly/regression suites; distributed/accelerated builds).
• Automate QA for tooling and in-engine features using engine test frameworks and headless runs, and wire results into CI and dashboards.
• Implement production LLM integrations (prompting, RAG/tool calls, guardrails/safety, observability, timeouts/retries, and cost controls).
• Collaborate with studio engineering, tech art, design, and QA to land integrations across varied codebases and pipelines.
• Document patterns, provide sample projects, and deliver internal training so solutions scale across PlayStation Studios.
• Influence standards and tech choices for AI in our dev stack, and contribute to shared libraries and best practices.

Qualifications

• You have at least five years of experience building production software in modern C++ (C++17/20) with strong fundamentals in memory management, concurrency, performance, and debugging.
• You have shipped tools or runtime features in AAA engines, including work on plugins/modules, asset and build pipelines, and editor/runtime integration.
• You have delivered features or tooling that integrate with LLMs or other ML services, and you understand prompt design, evaluation, safety, and telemetry for production usage.
• You have implemented engine-level automated testing (functional and integration), including headless execution and CI gating.
• You work fluently with large code/asset repositories and are comfortable with both Perforce and Git.
• You communicate clearly across disciplines and translate diverse studio requirements into pragmatic, maintainable solutions.
• You write thorough documentation and favor well-tested, maintainable code.

Nice to Have

• You have built networking/service integrations for game backends (gRPC/HTTP) and implemented telemetry/observability (logs, metrics, traces).
• You have packaged SDKs/plugins for multiple studios and managed semantic versioning and migration tooling.
• You understand console platform requirements and certification workflows.
• You are familiar with security, privacy, and responsible-AI practices in production systems.

Please note; this position can be completed remotely from The UK

About the Opportunity

Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers.
At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.

What to expect? 

• Measure and ensure the high-quality output of ML workloads for our enterprise customers.
• Design, build, and measure production software in the Contentful Platform.
• Conduct focused research and testing using tools like Jupyter Notebook.
• Optimize generative AI products for accuracy, speed, and scalability.
• Integrate ML cloud solutions and adapt them to our large-scale use cases.
• Integrate prompt engineering and fine-tuning for customer use cases.
• Develop software that scales to meet the demands of high-load customer workloads.
• Lead design reviews with peers and stakeholders to decide amongst available technologies.
• Drive the ML education in the team and establish a high standard of quality & ownership

What you need to be successful?

• Proven experience as a technical leader in a product software development environment
• Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads
• Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs
• Ability to organize and prioritize competing workloads
• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
• Solid understanding of machine learning principles
• Experience with container frameworks such as Docker or Kubernetes
• Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
• Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest

Preferred:

• Background includes machine learning and AI implementation
• You can translate a research paper into a PoC if the code does not exist

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers.
At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.

What to expect? 

• Measure and ensure the high-quality output of ML workloads for our enterprise customers.
• Design, build, and measure production software in the Contentful Platform.
• Conduct focused research and testing using tools like Jupyter Notebook.
• Optimize generative AI products for accuracy, speed, and scalability.
• Integrate ML cloud solutions and adapt them to our large-scale use cases.
• Integrate prompt engineering and fine-tuning for customer use cases.
• Develop software that scales to meet the demands of high-load customer workloads.
• Lead design reviews with peers and stakeholders to decide amongst available technologies.
• Drive the ML education in the team and establish a high standard of quality & ownership

What you need to be successful?

• Proven experience as a technical leader in a product software development environment
• Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads
• Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs
• Ability to organize and prioritize competing workloads
• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
• Solid understanding of machine learning principles
• Experience with container frameworks such as Docker or Kubernetes
• Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
• Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest

Preferred:

• Background includes machine learning and AI implementation
• You can translate a research paper into a PoC if the code does not exist

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the opportunity

Join Contentful as a Senior AI Software Engineer (f/m/d) and innovate with AI Integrations

At Contentful, we empower thousands of customers to manage content at scale with speed, flexibility, and precision. We are seeking talented Senior AI Software Engineers (f/m/d) to join our AI Platform team—a group dedicated to building and maintaining an internal AI platform that accelerates innovation across our organization.

As a key contributor, you will help shape the internal AI ecosystem by developing scalable, high-performance AI integrations, APIs, tools and documentation that empower feature teams to efficiently test, deliver and maintain cutting-edge AI-driven products. Acting as both a support and consultancy resource, you’ll collaborate closely with feature teams to enhance their development capabilities and bring AI-powered solutions to life. By building intuitive internal tooling and fostering seamless integration of AI technologies, your work will drive efficiency and innovation throughout Contentful.

If you are passionate about advancing AI technology, enabling teams with powerful tools, and redefining how we build and deliver AI solutions, we’d love to have you join us. Together, we’ll build systems that set new standards for AI integration and empower our teams to create smarter, more impactful content solutions.

What to expect? 

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our customers, ensuring seamless integration of AI technologies with existing systems.
• Platform Development: Design, develop, and maintain scalable AI platform features using TypeScript and Node.js, to enable feature teams, while ensuring they are compatible with other services, and APIs.
• AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences.
• Holistic Thinking: Think critically about the interactions between AI models and product components to ensure a cohesive and intuitive user experience.
• Rapid Problem-Solving: Quickly fix bugs and solve problems, particularly related to AI performance, model integration, or data pipeline issues, to enhance customer satisfaction.
• Continuous Improvement: Participate in code reviews and contribute to improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable.
• Stay Current: Keep up-to-date with the latest industry trends, particularly in the domains of AI and machine learning, ensuring the platform stays competitive by leveraging cutting-edge AI technologies.

What you need to be successful?

• API and Service Design: Proven experience in building APIs and services that efficiently handle large volumes of traffic. Deep interest in clean code practices and familiarity with enterprise architectural design patterns
• Serverless Architectures: Experience with serverless architectures, ideally edge compute environments such as Cloudflare Workers.
• Asynchronous Systems: Experience with building and maintaining asynchronous systems for automation and bulk use cases.
• Containerization and Orchestration: Experience with Docker and Kubernetes, especially in deploying AI models or microservices.
• Enterprise Solutions: Knowledge with implementing enterprise ready governance features such as RBAC, audit logging, and compliance frameworks. 
• Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus.
• Problem-Solving Skills: A natural problem-solver who brings forward innovative ideas to integrate and features within product workflows, leading to practical solutions and product growth.
• Collaborative Mindset: Excellent communication skills and the ability to collaborate effectively in a team environment.
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced, AI-driven environment, ensuring AI and software systems align with business objectives.

Preferred:

• AI and Machine Learning Expertise: Skills in integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding to validate the quality of AI products.
• Platform Experience: Experience in developing platform features to enable internal teams
• Full Stack Experience: Strong skills in TypeScript, React, and Node.js.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best

About EG  

Engineers Gate (EG) is a leading investment manager founded in 2014 as a quantitative, computer-driven trading firm. Today, EG operates as a diversified, multi-strategy investment platform that combines systematic research with selective discretionary approaches. 
 
EG's multi-manager platform allows independent investment teams to pursue distinct strategies while benefiting from shared infrastructure, risk management, and operational support. The firm’s collaborative groups of researchers, engineers, and investment professionals deploy sophisticated statistical models, proprietary technology, and a centralized data platform to isolate and solve challenging problem sets in the global financial markets. 

About The Role 

We are seeking an End User Services Engineer to join our Information Technology team. In this role, you will be part of a global team responsible for ensuring reliable, secure, and high-performance technology operations across all business units. This role requires hands-on end-user support, proactive issue resolution, and ownership of IT systems that enable productivity at scale. You will support traders, executives, and research staff in a fast-paced, mission-critical environment.  

The ideal candidate will have combined deep technical knowledge with outstanding communication and problem-solving skills, consistently delivering “white glove” service while improving systems and processes. This role is ideal for an engineer who thrives on solving complex problems, values precision and responsiveness, and wants to make a direct impact on mission-critical operations within a high-performance environment. 

Key Responsibilities 

• Deliver high-quality technical support to users across Windows, macOS, and mobile platforms (iOS). 
• Provide prompt troubleshooting and resolution of hardware, software, network, and market data issues. 
• Manage user onboarding/offboarding, permissions, and account administration. 
• Support audio/visual systems and conferencing technologies (Zoom, Teams, Cisco). 
• Assist with mobile device configuration and management through Intune or similar platforms. 
• Support virtual desktop infrastructure (VDI) environments to enable secure and flexible remote access. 
• Utilize an IT Service Management (ITSM) platform to log, track, and resolve support requests. 
• Document solutions and maintain IT knowledge bases for recurring issues and procedures. 
• Identify opportunities for automation and workflow improvement to enhance efficiency. 
• Provide after-hours and weekend on-call coverage as part of a support rotation. 

Qualifications 

• 2+ years of IT support experience in the financial services industry. 
• Bachelor's degree in computer science, Information Technology, or related field. 
• Strong troubleshooting, communication, and prioritization skills. 
• Experience supporting enterprise desktop environments, including Windows 11, and Office 365. 
• Knowledge of identity and access management systems, user management, and security group administration. 
• Experience with endpoint management, software deployment concepts, and packaging. 
• Understanding of basic networking concepts (LAN/WAN, VPN, DNS, DHCP). 
• Familiarity with cloud-based collaboration platforms (Microsoft 365, SharePoint, OneDrive). 
• Working knowledge of AV setups and remote conferencing technologies. (e.g. Zoom) 
• Ability to work independently, manage priorities, and maintain attention to detail in a fast-paced environment. 
• Comfortable interfacing directly with traders, executives, and analysts to provide professional, high-touch support. 

What We Value 

• Clear communication: You build trust through empathy, clarity, and accountability. 
• Proactive mindset: You anticipate issues and improve systems before problems arise. 
• Ownership: You take initiative and follow through until issue is resolved. 
• Growth orientation: You stay curious, learn continuously, and adapt quickly to new tools and technologies. 

The Role

The Principal Software Engineer role at PhysicsX is an individual contributor role with leadership and collaboration expectations. The Principal is expected to be an effective technical thought-partner to non-technical stakeholders, and is expected to contribute strongly to an environment of growth and development in the craft of software engineering across the organisation.

Engineering Applications make PhysicsX's AI platform usable by engineers in their daily work. The product group creates workflows and interfaces that span the engineering lifecycle, from design through manufacturing to operations, enabling engineers to harness AI capabilities. The suite ranges from ready-to-use applications that ship with the platform for engineers to use directly to a composable set of extensible components for teams who need to go further. Engineering Applications ensure that impactful AI capabilities are accessible to customers at scale.

What you will do

• Engage with product managers, designers, and users of Reference Applications to fully understand the what and why of the product’s functional requirements.
• Partner with the product leadership of Reference Applications to define the art of the possible with ambitious pragmatism, defining the how and when of product development.
• Take responsibility and accountability for the implementation of components and services by a team of software engineers, and actively participate in development by contributing to source-code, documentation, and CI/CD workflows.
• Design and maintain services that are fully interoperable with PhysicsX’s other platform services, while remaining independently versioned, tested, and deployed.
• Define, evolve, and advocate for a scalable, modular front-end architecture that enables reuse, rapid development, and long-term maintainability.
• Implement standardised instrumentation for metrics, logs, and traces and take responsibility for the teams’ prompt remediation of issues in production.
• Establish performance benchmarking to measure compliance with non-functional requirements, right-size infrastructure requests, and provide appropriate SLAs.
• Participate in establishing company-wide software engineering standards through engagement with the software engineering guild.
• Participate in the growth and development of software engineers.
• Participate in the recruitment and onboarding of software engineers.

What you bring to the table

• A passion for the evolving craft of software engineering and for sponsoring a culture of excellence in the craft.
• A proven ability to act as an effective technical thought-partner to non-technical stakeholders.
• A proven ability to lead teams of software engineers in a fast-paced and iterative environment, through active participation in problem solving, coaching, and architectural decision-making.
• A solid track-record of designing, building, and maintaining application services in distributed architectures.
• Background working with Kubernetes - CKA certification, is a nice to have.
• Experience with workflow orchestration, event-driven systems, and messaging (NATS, ArgoWorkflows)
• Proven track record building web-based user interfaces using a variety of architectural approaches - SPAs, server-rendered applications, hybrid architectures, micro-frontends - with a critical perspective on when each is the right choice.
• Deep understanding of frontend rendering strategies and their tradeoffs: CSR, SSR, streaming SSR
• Micro-frontend architecture: module federation, runtime composition, independent deployment, and shared dependency management across teams.
• Monorepo platform experience: Turborepo/Nx/Workspaces, with ownership of shared tooling, build pipelines, and DX abstractions across multiple frontend packages.
• Advanced TypeScript: conditional types, mapped types, and template literal types, with the ability to design type-safe API layers (tRPC, Zod, OpenAPI codegen)
• Build toolchain depth: Vite internals, custom plugin authoring, bundle analysis, and measurable build performance optimisation.
• Large-dataset rendering: virtualisation strategies (TanStack Virtual), WebGL/Canvas/WebGPU for high-performance visualisation.
• Server state architecture: TanStack Query or equivalent, cache invalidation strategy, optimistic updates, background refetching, and avoiding over-fetching at scale.
• Proficiency in Python and Go, with experience in other languages a plus (Rust, C++).
• A strong understanding of the machine learning development lifecycle.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

What's the opportunity?

Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're on the cutting edge of defining how AI agents should work — inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.

This role sits at the heart of the Service Agent pillar — 12 teams and growing, building every capability that makes Fin work. You'll partner at the strategic pillar level: broad context across work streams, deep technical understanding of how Fin operates end-to-end, and the autonomy to decide where you need to go next. When we need a new work stream spun up from scratch — a brand new team, an ambiguous problem space, aggressive timelines — you're the person who makes that happen.

The competitive landscape is intense. Fast-moving AI-native startups are coming hard for this space, shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure, who can maintain technical excellence while moving at startup speed within a company that has the resources and customer base to make that speed count.

What will you do?

• Partner at the strategic pillar level. You'll have broad context across work streams and use that to inform technical strategy and investment priorities. What should we care about? Where should we invest? Where do you need to step in? These are your decisions.
• Spin up 0-to-1 work streams. Bring together engineers who've never worked as a team, disambiguate the problem space, build momentum under aggressive timelines, set high expectations, and drive execution.
• Execute on the most ambiguous, highest-stakes problems. You're hands-on. You write code, you ship features, you're deep in the weeds. We've seen too many Principal Engineers who are brilliant but too far from execution to be effective here.
• Lead experimental work at the AI frontier. Run your own A/B tests, do prompt engineering, build evals, and calibrate accuracy, cost, and latency for LLM-powered features. Much of what we're building are new paradigms for customer-facing software.
• Shape long-term technical strategy through execution. Your hands-on work informs the architecture. You're simultaneously building and thinking about what needs to change about how we build products — data models, system design, the shift from GUI-first to agent-first interfaces.
• Work across the full stack in an AI-first development environment. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development and help shape how the entire engineering org works.
• Raise the bar for the people around you. Give direct, actionable feedback that changes outcomes. We don't need someone who mentors juniors on the basics — we need someone who can accelerate and grow the senior and staff engineers around them.

What are we looking for?

The core requirement: engineering depth and product thinking. We need someone who combines deep engineering ability with strong product and design instincts — not one or the other. We don't want engineers who are technically brilliant but disconnected from the product. And we don't want product-minded engineers who have great instincts but can't execute at the level this work demands. You need to be able to both build complex systems AND identify the right problems to solve. This is the single most important dimension we evaluate on.

Beyond that:

• Operated at real scale and has builder energy. You've likely spent time at companies operating at significant scale — the kind of environment where you've seen what large-scale distributed systems actually look like in production. But you also have startup DNA: urgency, resourcefulness, a bias toward building over discussing.
• AI fluency. You're actively experimenting with AI-assisted development, pushing the boundaries of what's possible, and forming opinions about how it changes the way teams build software. This matters more than any specific stack experience.
• Deep technical depth with breadth. You can go deep into the weeds on at least one technical domain, but you also navigate complex multi-team systems with ease. In conversation, you move fluidly from business context to technical strategy to implementation details.
• Communication as a superpower. You can explain to leadership why a technical investment matters, align multiple teams around a complex project, and then walk an engineer through the gnarly implementation details. This role lives and dies on your ability to communicate across every level.
• Extreme autonomy. You partner with the Engineering Director on where you think the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of engineer who waits to be told what to work on, this isn't the right role.
• Critical thinking about the business. You understand what Intercom is optimizing for and translate that into technical decisions. Which work streams need investment? Where are we falling behind? What should we defund to go harder somewhere else? You think at this level naturally.
• At least ~10+ years of experience, with significant time as a technical leader driving complex projects across multiple teams and stakeholders.
• Stack agnostic. We use Ruby on Rails, React (migrating from Ember), and AWS. But AI tools increasingly abstract the stack — what matters is your ability to learn, build, and operate effectively with tools like Claude Code. If you're great with a high-level programming language and fluent with AI-assisted development, you'll be productive fast.

Why Intercom, why now?

Fin is #1 — and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. This is one of the most consequential competitive moments in tech history, and the engineering decisions made in the next 12 months will determine who wins.

A rare pivot that actually worked. Intercom has been building for 15 years — deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster..

AI-first engineering culture. Every engineer gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in the platform capabilities — MCP servers, skills, shared tooling — that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.

The sweet spot. Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

About the role:

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments.  We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis.

About Us

The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT.

Our Commitment to Diversity, Equity and Inclusion

We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups.

The Role Overview

We’re looking for a Cyber Security Engineer to help improve application security across the FT’s cloud-native technology estate. This is a hands-on role focused on making secure engineering easier for product, platform and software engineering teams.

Application security experience is essential for this role. You’ll help improve developer-friendly security guardrails across GitHub-based CI/CD pipelines, application repositories and engineering workflows. This includes working with SAST, software composition analysis, secret scanning, vulnerability management and secure coding guidance so that security findings are clear, actionable and owned by the right teams.

You’ll work closely with engineers to support practical threat modelling, triage application vulnerabilities, improve security playbooks and help teams remediate issues in a pragmatic way. You do not need to be a deep AWS or cloud security specialist, but some exposure to AWS, cloud security or infrastructure-as-code security would be useful.

We’re looking for someone with practical AppSec experience who wants to grow their impact - someone who enjoys working with engineers, improving tooling and helping security become part of normal delivery rather than a last-minute checkpoint.

What you’ll bring to the role

Application security experience: practical experience identifying, explaining and helping remediate application security risks in modern engineering environments.

Developer-friendly security mindset: you enjoy working with engineers, explaining risks clearly and helping teams adopt secure practices without unnecessary friction.

Vulnerability management experience: experience triaging and tracking application vulnerabilities from sources such as SAST, dependency scanning, secret scanning, penetration tests, bug bounty reports or third-party advisories.

CI/CD and code security awareness: familiarity with security tooling in development workflows, such as SAST, software composition analysis, secret scanning or repository security controls.

Threat modelling awareness: experience participating in, supporting or facilitating lightweight threat-modelling sessions for applications, services or new features.

Automation mindset: ability to write scripts or small tools, ideally in Python, to reduce manual effort, improve visibility or make security workflows easier.

Cloud security awareness: Some exposure to AWS, cloud security or infrastructure-as-code security would be useful, but is not essential.

Growth mindset: willingness to keep developing across application security, cloud security, secure development and modern engineering practices.

Required Experience, Essential

• Practical experience in application security.
• Experience working with software engineers to explain and remediate security issues.
• Familiarity with common web application security risks and secure coding practices.
• Experience with vulnerability triage, prioritisation and remediation tracking.
• Experience using or interpreting findings from tools such as SAST, software composition analysis, secret scanning or similar.
• Experience participating in or supporting threat-modelling activities.
• Ability to write scripts or small tools, ideally in Python, to automate tasks or improve visibility.
• Strong communication and collaboration skills.
• Familiarity with Agile or Scrum ways of working.

Desirable

• Exposure to AWS security, cloud security or infrastructure-as-code security.
• Experience with Terraform or CloudFormation.
• Experience with container or Kubernetes security.
• Experience with bug bounty, penetration testing or security testing programmes.
• Experience with Splunk or similar logging/SIEM platforms.
• Exposure to AI security, such as LLM-enabled applications, AI-assisted development workflows or prompt/data leakage risks.
• Experience building dashboards, metrics or reports to support vulnerability management.
• Relevant security certifications or training, such as AWS security training, secure coding training, GIAC, ISC2, CREST or equivalent practical experience.

What’s in it for you? Our benefits

Our benefits vary by location but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here.

We’ve embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in-person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible.

Accessibility

We are a disability confident employer and Valuable 500 signatory.

Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help.

Further information

At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications.

Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all.

Project Overview

This is a cutting-edge initiative to integrate Large Language Models (LLMs) with WorldQuant's proprietary strategy management tools. The project aims to provide AI-assisted insights, automate routine analytical tasks, and enable natural language interactions for Portfolio Managers to more efficiently analyze, maintain, and enhance their trading strategies. This involves building foundational infrastructure, developing robust data pipelines for metrics and features, and creating a secure, user-centric interface with a strong focus on protecting intellectual property.

The Role:

We are seeking a talented and motivated Full-Time Software Engineer to play a key role in the development and enhancement of this AI-driven platform. You will be responsible for designing, building, and maintaining critical components of the system, primarily focusing on the Model Context Protocol (MCP) servers that form the backbone of the platform. This includes enhancing existing MCPs, such as our proprietary command-line interface for strategy data, developing new MCPs for internal data system integration, strategy analysis, and performance metrics, and contributing to the secure and effective use of LLMs.

Key Responsibilities

• Design, develop, test, and deploy robust and scalable MCP servers and related tools in Python.
• Enhance existing MCPs, including our internal data access tools, to ensure reliable access to strategy metadata, historical PnL data, and PnL attribution by risk factors.
• Develop new MCPs, including but not limited to MCPs for direct data system integration, MCPs for strategy analytics, and MCPs for performance reporting.
• Design and implement secure prompt engineering techniques to interact with LLMs, ensuring effective information retrieval while minimizing the risk of intellectual property leakage.
• Collaborate with project managers, technical leads, and other developers to define technical specifications and integrate various data sources.
• Work on API development and integration, ensuring seamless data flow between different systems (internal knowledge management systems, simulation systems, data warehouses).
• Implement data parsing and manipulation logic for various formats (JSON, CSV).
• Contribute to the design and implementation of data pipelines for strategy metrics and features.
• Address and resolve bugs and issues in existing MCP tools and infrastructure.
• Participate in code reviews, and contribute to unit and integration testing efforts.
• Create and maintain technical documentation for developed components.
• Stay updated with emerging technologies and methodologies in AI, LLMs, prompt engineering, and financial technology.

What You’ll Bring:

Core Skills:

• Strong proficiency in Python programming.
• Proven experience in API development, integration, and consumption.
• Solid understanding of database interaction, data access patterns, and data modeling.
• Experience with data parsing and manipulation libraries and techniques (e.g., pandas, JSON, CSV).
• Understanding of or experience with prompt engineering principles for Large Language Models
• Awareness of data security and intellectual property protection considerations in the context of AI and LLM applications

Domain-Specific Knowledge (Highly Beneficial):

• Familiarity with financial data (e.g., PnL, Sharpe ratio, alpha, risk factors, AUM).
• Experience with quantitative trading systems, market data systems, or strategy management platforms (familiarity with internal data systems or command-line data tools is a significant plus).

Technical Environment Familiarity (Helpful):

• Experience working in a Linux environment.
• Understanding of Command Line Interface (CLI) tools and development.
• Familiarity with version control systems (e.g., Git).

Soft Skills

• Excellent problem-solving and analytical skills.
• Strong collaboration and communication skills, with the ability to work effectively in a team.
• High attention to detail and commitment to delivering high-quality software.
• Ability to learn quickly and adapt to new technologies and complex systems.

Education

• Bachelor's or Master's degree in Computer Science, Engineering

We're seeking a versatile Senior GenAI Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. 

Your Impact  

• Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments 
• Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation 
• Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language 
• Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics 
• Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations 
• Optimize model inference pipelines for performance, cost, and scalability in production environments 
• Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour 
• Collaborate with data scientists to productionize ML models and forecasting algorithms 
• Write comprehensive tests, including unit tests, integration tests, and prompt regression suites 
• Participate in code reviews, technical design discussions, and knowledge-sharing sessions 
• Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption 

 Your Qualifications 

• Software engineering experience with a focus on ML/AI systems 
• Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) 
• Experience building and deploying LLM-powered applications in production 
• Proficiency in front-end development with React, TypeScript, and modern web technologies 
• Understanding of RESTful API design, microservices architecture, and cloud infrastructure 
• Experience with prompt engineering, RAG systems 
• Strong foundation in ML fundamentals, including NLP, time-series analysis, or recommender systems 
• Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines 
• Excellent problem-solving skills and attention to detail 
• Bachelor's degree in computer science, Machine Learning, or related field 

Preferred Qualifications 

• Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) 
• Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models 
• Experience with model serving frameworks (vLLM, TensorRT, Ray) 
• Background in forecasting, planning, or analytics applications 
• Familiarity with Anaplan or similar enterprise planning platforms 
• Experience with A/B testing and experimentation frameworks for AI features 
• Contributions to open-source ML projects or research publications 
• Experience with model observability tools (LangSmith, W&B, MLflow) 

 What Makes This Role Exciting 

• Lead a greenfield team building transformative AI capabilities from the ground up 
• Work on cutting-edge conversational and agentic AI technologies 
• Build user-facing AI features that directly impact how businesses plan and make decisions 
• Experiment with the latest GenAI models and techniques 
• Collaborate with talented engineers, data scientists, and product designers 
• Solve unique challenges at the intersection of AI and enterprise software 
• Grow your skills in both ML engineering and full-stack development 

#LI-SP1

About the Job: 

LaunchDarkly is in the middle of a category shift - from feature management to the AI control plane: the governance layer between AI-generated code and safe production deployment. Every enterprise we talk to has the same problem - their engineers are shipping AI-assisted code faster than their release governance, observability, and experimentation processes can keep up. We're the answer to that.

As a Senior Solutions Engineer in EMEA, you'll be on the front line of that shift. You'll partner with Account Executives to win and expand strategic enterprise accounts, lead technical evaluations, and build champions inside customers who genuinely change how they ship software. This isn't a demo-monkey role - it's a role for SEs who want to sit across from CTOs, Heads of Platform, and Heads of AI and have a meaningful conversation about where their business is going.

Responsibilities:

• Be a Trusted Advisor:
  • Partner with AEs to qualify, develop, and close strategic enterprise deals
  • Bring a perspective - challenge customers to think bigger about what's possible, with insight on where the industry is heading
  • Translate complex technical capability into business outcomes that resonate with both engineers and executives
• Champion Building & Customer Relationships:
  • Build deep relationships with technical and business stakeholders so they advocate for LaunchDarkly when you're not in the room
  • Stay connected through on-site visits, working sessions, and continuous discovery
  • Use our London office as a hub for in-person customer workshops, exec sessions, and team collaboration (typically 1-2 days a week)
• Technical Validation & Proof of Value:
  • Lead high-impact demos and POVs that don't just tick a box - they make customers want to buy
  • Own evaluation end to end: success criteria, executive alignment, commercial clarity, and timelines
  • Build solutions that demonstrate clear, measurable business impact
• Stay Sharp & Be the Expert:
  • Stay ahead of where software delivery is going - AI-assisted development, governance, experimentation, progressive delivery, and the platform engineering shift
  • Own the technical conversation across audiences - from staff engineers to CIOs
• Collaboration & Feedback:
  • Advocate for customers - your insights shape the roadmap
  • Work cross-functionally with Sales, CS, Product, Engineering, and Professional Services
• Travel & On-Site Engagement:
  • Up to 35% travel, primarily across EMEA, for customer workshops, deal closings, and industry events

About You:

• Curious about AI, in and out of work: The best SEs we've hired recently are the ones already experimenting with AI tooling for fun - building side projects, automating their own workflows, playing with agentic systems. We're not looking for AI researchers. We're looking for people who are genuinely interested in where this is going and want to bring that curiosity into customer conversations.
• Champion Builder: You enjoy building strong relationships and creating internal advocates. You know that the best deals are won through the people inside the customer, not the slides you bring.
• Drive & Ownership: You don't wait to be asked. You see what needs to be done and you do it.
• Business Acumen: You can position LaunchDarkly as a strategic enabler, not a tool. You connect technology to revenue growth, competitive advantage, and operational efficiency.
• Humble, Hungry, Smart, Energetic:
  • Humble - collaborative, feedback-seeking, team-first
  • Hungry - self-motivated, goes the extra mile, closes big deals
  • Smart - reads the room, tailors the message, connects with any audience
  • Energetic - brings urgency and momentum
• Coachable: You seek feedback and apply it. You learn quickly across new tech, new methodologies, and new customer contexts.
• Technical Expertise:
  • Modern software delivery - Solid understanding of CI/CD, feature flags, progressive delivery, and platform engineering
  • AI-assisted development - Familiarity with how engineering teams are using tools like GitHub Copilot, Cursor, and Claude Code, and the governance challenges that creates
  • AI/ML workflows (nice to have) - Exposure to model deployment, inference services, prompt engineering, or AI application architecture
  • Hands-on technical skills - You can design and lead technical demos, workshops, and POVs without an engineer holding your hand
• Sales Experience & Methodology:
  • Comfortable with MEDDPICC, Command of the Message, or similar structured frameworks
  • Experience selling into FTSE 100, FTSE 250, or large enterprise environments
  • Proven ability to drive $1M+ deals and build compelling business cases

Qualifications:

• 8+ years in technical sales or solutions engineering, selling complex enterprise SaaS
• Track record of leading POCs, POVs, and world-class demos
• Experience with structured sales methodologies (MEDDPICC, CoM, or similar)
• Strong technical and business communication skills
• Willingness to travel up to 35%
• Based in or able to commute to London 1-2 days per week

Preferred: 

• Experience selling adjacent categories - dev tools, observability, experimentation, AI infrastructure, platform engineering
• Programming and cloud expertise - proficiency in one of LaunchDarkly's supported languages (Java, .NET, Go, JavaScript/Node, Python, PHP, Ruby, iOS, or Android) and container tech (Docker, Kubernetes)
• Enterprise sales experience in $1M+ blue-chip environments
• Personal interest in AI - side projects, experimentation, and a point of view on where the industry is heading

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. 

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

• Improving the velocity and stability of software releases, without the fear of end customer outages
• Delivering targeted experiences by easily personalizing features to customer cohorts
• Maximizing the business impact of every feature through the ability to experiment and optimize
• Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
• Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

Do you need a disability accommodation?

Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. 

Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly  directly for confirmed job openings and links to apply.

Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com.

EU or US · Travel required across both regions 

Most AI roles keep you at arm’s length from the people the agents are supposed to help. This one puts you in the room with them. 

We’re building AI agents for risk managers, internal auditors, and compliance professionals, not assistants that surface suggestions, but agents that own complex, multi-step workflows end to end. Agents that an audit team can hand a task to and trust it will come back done. Getting from a promising agent prototype to something a Chief Audit Officer depends on is a completely different discipline to building the prototype. That’s what this role is about. 

As a Forward Deployed Engineer, roughly 80% of your time is with our biggest enterprise customers across Europe and the US. You’re embedded in their environments, sitting with internal audit teams as they plan an audit programme, with risk functions assessing their control landscape, with compliance teams navigating regulatory obligations. You’re not there to show them what the agents already do. You’re there to understand their world well enough to discover what the agents need to do next. 

You run discovery workshops, identify which workflows are genuinely ripe for agentic automation, prototype rapidly, test with real practitioners, and stay until the agent is reliable enough to be trusted. 

The other 20% is feeding everything you’ve learned back into the platform. The goal isn’t to accumulate bespoke agent builds, it’s to identify the patterns across risk and audit functions that should be generalised, so every subsequent engagement is faster and the agents get better for everyone. 

You sit in Product with a matrix into Engineering , which means you shape both the agent roadmap and the technical decisions that make agents work in production. 

This is not a sales role and it’s not consulting. 

You write code. You build evaluation infrastructure. You design golden datasets grounded in real audit and risk workflows. You catch agent regressions before a customer’s compliance team does. You’re accountable for outcomes. 

The Hard Parts of Agentic AI Are Your Domain 

Silent regressions when a model updates. Context window degradation across long audit workflows. Prompt instability under varied user inputs. Non-deterministic outputs in environments where a compliance officer needs to explain every decision to a regulator. You know these failure modes and you know how to build the guardrails, tracing, and evaluation infrastructure that prevents them. 

The Customer Environment 

Enterprise GRC, global banks, large regulated corporates, sophisticated internal audit and risk functions across Europe and the US. You don’t need a compliance background, but you need the curiosity to learn it fast and the presence to earn trust with senior risk and audit professionals. These are people whose professional reputations depend on getting this right; that’s a good reason to make the agents actually reliable. 

Travel is a meaningful part of this role. You’ll be on-site regularly with enterprise customers across EU and US markets. If you’re energised by variety, different industries, different regulatory cultures, different stages of agent maturity - this will suit you well. 

These are the essentials you’ll need to get an interview: 

Apply If You… 

• Have shipped at least one production agent and know what the reliability cliff feels like 

• Understand the full Agent Development Life Cycle: evaluation, guardrails, observability, regression - not just deployment 

• Are as comfortable in a room with a Chief Risk Officer as you are debugging a failing agent trace 

• Are genuinely curious about how risk managers, internal auditors, and compliance professionals work 

• Can tell the difference between a workflow that needs an agent and one that needs a button 
• Want to be the person who makes enterprise agentic AI actually land, not the person who hands it off 

People who do this kind of work go on to exceptional careers in product creation, product leadership, and founding companies. There is no faster path to understanding how to build agentic AI that creates real value than embedding directly with the people it needs to serve. 

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Solutions Engineering who will identify and understand complex customer needs and requirements, develop and customize solutions using Geotab’s open platform, and support partners in overcoming business challenges. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a key contributor, the Senior Solutions Engineering team helps drive the success and stability of the Geotab ecosystem. This role requires a deep understanding of Geotab solutions and the ability to adapt and showcase them for partners and end-users. This role works closely with a variety of stakeholders within Geotab’s sales channels, customer care, product management and other solutions engineering teams. The Senior Solutions Engineering position plays a fundamental role in driving Geotab’s strategies, developing tools and educational content for internal teams and external partners and advancing on-going business objectives. The role’s incumbent identifies gaps in the product ecosystem, providing alternative solutions and valuable feedback to the product and development teams.

How you'll make an impact:

• Develop and maintain expert-level knowledge of the Geotab ecosystem, serving as a Subject Matter Expert (SME) to empower end-users and partners and enhance their understanding of Geotab solutions.
• Engage and collaborate with strategic partners and key end-users to optimize their utilization of Geotab's technology, products, and solutions, tailoring the approach to meet their complex and specific needs.
• Collaborate with the Geotab revenue generating teams as a key technical resource to identify and deliver effective solutions for customer challenges, by working closely with them and their partners, contributing to sales growth, ecosystem expansion and customer retention. 
• Drive revenue growth by translating complex technical capabilities into tangible business value for prospective clients. Conduct in-depth discovery and requirements analysis to design and deliver compelling technical demonstrations and pilots that directly align with customer needs and accelerate deal closure.
• Ensure partner and end-user satisfaction through prompt and accurate service, bolstering internal team support by providing additional insights and know-how. 
• Support Geotab’s partner upskilling, driving them towards excellence to support customers across unique channels, using best practices, and leveraging a deep understanding of industry verticals.
• Assess and analyze complex partner and end-user business challenges, identifying Geotab’s viability and proposing alternative approaches when necessary.
• Contribute to the continuous improvement of the company's offerings by providing partner and end-user feedback, providing opportunities to collaborate with Product
• Keep and maintain accurate documentation and records of customer/partner engagements, complex solution designs and deliverables by following department processes and procedures. 
• Manage high-impact projects, highly strategic customers/partners, collaborating closely with partners, third-party integrators, and customers to ensure seamless implementation, deployment, and success. 
• Create and contribute to processes and procedures, handle escalations, identify areas for change and drive the change.
• Mentor and support Solutions Engineers and other team members, sharing knowledge, expertise, and best practices to promote skill development and professional growth.

What you'll bring to this role:

Why job seekers choose Geotab:

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. 

Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
• Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
• Establishing MLOps practices, including orchestration, observability, and experiment tracking.
• Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
• Defining hiring criteria, growing the ML team, and shaping the ML team culture.

We expect you to have:

• A proven track record as an ML/AI Lead.
• At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
• Vector databases and retrieval-augmented generation (RAG) patterns.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal. 

Our ideal candidate would have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• The ability to think strategically about product-led AI, beyond just training models in isolation.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.

#LI-KP1

About the role:

We are looking for a Forward-Deployed Engineer to join our Professional Services team. This is not a traditional consulting role—you will embed directly with our most strategic enterprise customers to drive transformational outcomes across frontend modernization, platform migrations, and AI adoption.

In this role, you will lead complex Next.js migrations, architect high-performance applications, and build production AI solutions—all within customer environments. You'll work hands-on-keyboard alongside customer teams, whether you're migrating a legacy React application to App Router, conducting a deep-dive code audit, or deploying production agents using Vercel's AI SDK. You will be equally comfortable leading a technical discovery session with engineering leadership as you are refactoring a complex rendering strategy or optimizing an agentic workflow.

Our Forward-Deployed Engineers operate with high agency and autonomy. You'll navigate ambiguous enterprise environments, assess technical debt, design migration strategies, and deliver measurable business value—all while building long-term relationships that expand our partnership with each customer.

You will report to the Director of Professional Services and will be remote-first with significant travel (25-40%) to customer sites for embedded engagements.

What you will do:

1. Lead complex frontend migrations—modernizing legacy React, Vue, or other frameworks to Next.js, including Pages to App Router transitions, incremental adoption strategies, and large-scale codebase transformations.
2. Conduct technical assessments and code audits, analyzing customer codebases for performance bottlenecks, architectural anti-patterns, and optimization opportunities—delivering actionable roadmaps that drive measurable improvements.
3. Architect and implement high-performance Next.js applications, leveraging App Router, Server Components, streaming, ISR, edge functions, and advanced rendering strategies to meet enterprise scale and performance requirements.
4. Optimize Core Web Vitals and application performance, using tools like Vercel Speed Insights to diagnose issues and implement fixes that improve SEO, conversion rates, and user experience.
5. Build production AI solutions using Vercel's AI SDK and AI Cloud—including conversational interfaces, production agents, MCP servers, and agentic workflows that transform customer operations.
6. Embed with strategic customers to build production applications—working within their systems, understanding their constraints, and shipping TypeScript code that goes live.
7. Drive enablement and knowledge transfer through workshops, pair programming, and documentation—ensuring customer teams can extend and maintain solutions independently.
8. Navigate complex enterprise environments by building relationships with stakeholders across engineering, product, and executive teams—translating technical capabilities into business outcomes.
9. Participate in pre-sales activities by providing technical expertise during discovery calls, scoping sessions, and proposal development for migrations, audits, and AI transformation engagements.
10. Contribute to our service evolution by identifying repeatable patterns, building reusable components, and sharing implementation insights back to Product and Engineering teams.

About you:

• 5+ years of experience in software engineering with at least 2 years in a customer-facing technical role (consulting, solutions engineering, forward deployed engineering, or technical founder experience).
• Expert-level TypeScript skills—this is your primary language. You write production TypeScript daily and have strong opinions on type safety, patterns, and tooling.
• Deep expertise in Next.js, with a proven track record of architecting and delivering complex applications using App Router, Server Components, server-side rendering (SSR), static generation (SSG), incremental static regeneration (ISR), and edge functions.
• Demonstrated experience leading frontend migrations—you've modernized legacy applications to Next.js, navigated incremental adoption strategies, and understand the challenges of migrating large codebases in production environments.
• Mastery of React and its ecosystem, including advanced state management, performance optimization, and modern patterns like streaming, suspense, and concurrent features.
• Production experience with LLMs and AI applications, including prompt engineering, agent development, and tool use patterns. Familiarity with Vercel's AI SDK is strongly preferred.
• High agency with comfort in ambiguity—you thrive when given a problem to solve rather than a task to complete, and you can navigate complex organizations to drive outcomes.
• Exceptional communication skills with the ability to conduct technical discovery, present to executives, mentor engineers, and build lasting customer relationships—all with a low-ego, collaborative approach.
• Business acumen to understand customer objectives, translate technical capabilities into ROI, and identify expansion opportunities throughout engagement lifecycles.
• Willingness to travel 25-40% to customer sites for embedded work and relationship building.

Bonus if you:

• Have led large-scale migrations from legacy frameworks (Create React App, Gatsby, custom webpack setups) to Next.js in enterprise environments.
• Have expertise in performance optimization and Core Web Vitals, with experience diagnosing and fixing LCP, CLS, and INP issues at scale.
• Have experience with Model Context Protocol (MCP), building MCP servers, or implementing complex tool-use patterns in production AI applications.
• Have led enterprise AI transformation initiatives, including building production agents that automated manual processes or replaced legacy systems.
• Have worked with micro-frontends, module federation, or multi-team frontend architectures.
• Have contributed to the Next.js, React, or AI SDK open-source projects, or maintain popular related libraries.
• Have experience with enterprise deployment patterns including security reviews, compliance requirements, and multi-region architectures.
• Have a background in financial services, healthcare, retail/e-commerce, or media—industries with complex frontend ecosystems and growing AI adoption.
• Have spoken at conferences or published thought leadership on frontend architecture, migrations, or AI applications.

Benefits:

• Great compensation package and stock options.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off - Flexible vacation policy with a recommended 4-weeks per year, and paid holidays.
• Remote Friendly - Work with teammates from different time zones across the globe.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

As a Sr Generative AI Engineer on the ED&A team, you will build the agentic AI systems that change how Dataiku runs internally. The role is hands-on and end-to-end, you'll work close to the business, turn real problems into working software, and see your solutions through from first conversation to production.

How You'll Make an Impact

Agentic AI Solution Development & Integration

• Design end-to-end AI solutions on Dataiku's platform, leveraging Dataiku Agent Hub, Prompt Studio, LLM Mesh, and Knowledge Banks (Vector Stores), or Python-based frameworks where needed.

• Build and orchestrate multi-agent systems using Dataiku's Visual Agents (simple and structured), as well as code-based frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK) as appropriate.

• Integrate and optimize LLM APIs across providers (OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure, open-source models via Dataiku's LLM Mesh), applying model routing strategies to balance cost, latency, and quality.

• Implement Retrieval-Augmented Generation (RAG) pipelines, including agentic RAG and GraphRAG, using Dataiku's Knowledge Banks with reranking, dynamic filtering, and document extraction capabilities.

Stakeholder Engagement & Delivery

• Work primarily with the “Revenue” organisation, Sales, BDR, Customer Success, Solutions Engineering, Professional Services, Sales Operations and Marketing (approximately 75% of the role), and apply proven solutions and approaches more broadly across the organisation (approximately 25%).

• Engage stakeholders to gather business requirements, then go further: identify the underlying user pain those requirements represent, and design solutions that address both the stated need and the deeper problem.

• Own projects end-to-end, from requirements intake and solution design through to build, deployment, and handover.

Agent & Tool Development

• Develop autonomous and semi-autonomous AI agents, using Dataiku's Agent Builder, custom Python-based architectures (LangGraph, CrewAI, Claude Agent SDK, etc.), or a combination of both. Exercise judgment on when to leverage platform capabilities and when to build custom solutions.

• Design and build Agent Tools beyond documented examples, including custom API integrations, data retrieval modules, decisioning logic, and automated workflows, pushing past out-of-the-box patterns to deliver solutions tailored to specific business problems.

• Build, publish, and consume MCP (Model Context Protocol) servers to enable agent-to-tool integration across systems, including designing custom MCP servers where needed.

• Develop evaluation and monitoring approaches for agent systems, combining Dataiku's built-in capabilities with custom instrumentation to measure reliability, accuracy, cost, and business impact in production.

AI Governance & Evaluation

• Design and maintain evaluation frameworks (evals) for LLM-based systems, measuring accuracy, latency, cost, and reliability in production.

• Adhere to data governance, security, and regulatory compliance requirements (EU AI Act awareness, responsible AI practices) for all AI solutions.

• Leverage Dataiku's Cost Guard and Quality Guard features to manage LLM spend, enforce usage policies, and maintain output quality standards.

• Work closely with analytics and data engineering teams to maintain metadata on reference datasets for LLM consumption.

Web Application Development

• Create front-end user interfaces for AI applications using HTML, CSS, and JavaScript, within Dataiku's webapps framework, Dataiku Answers for chat-based interfaces, or standalone applications built with Vue.js and Node.js.

• Collaborate on UX design, ensuring internal stakeholders find AI solutions intuitive and responsive.

Continuous Learning

• Provide product feedback to the development team to improve the platform.

• Stay current with the rapidly evolving AI engineering landscape, agent frameworks, model capabilities, evaluation practices, governance requirements, and tools like MCP and A2A protocols.

What You'll Need to Be Successful

Technical Proficiency

• Must have strong Python skills (including familiarity with typical data science and AI engineering libraries).

• Must have hands-on experience building agentic AI systems, multi-agent orchestration, tool chaining, autonomous decision-making, and production deployment of AI agents.

• Experience with modern agent orchestration frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK, or similar); familiarity with LangChain is still relevant but not sufficient on its own.

• Understanding of RAG architectures (vector databases, embedding strategies, agentic RAG, GraphRAG) and when to apply each approach.

• Familiarity with MCP (Model Context Protocol) for agent-to-tool integration, or demonstrated ability to quickly adopt new integration standards.

• Experience with structured outputs, function/tool calling, and prompt engineering across multiple LLM providers.

• Web development fundamentals (HTML, CSS, JavaScript); experience with Vue.js and Node.js preferred. 

• Exposure to AI evaluation practices, building evals, monitoring model/agent performance in production, and iterating based on metrics.

• Comfort with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code, or similar).

• Familiarity with Dataiku a bonus.

Educational & Professional Background

• Bachelor's or Master's in Computer Science, Data Science, Engineering, or a related field; equivalent experience also considered.

• Demonstrated ability to integrate multiple technologies, optimize workflows, and deliver user-friendly AI solutions in a production setting.

Soft Skills

• Strong communication and presentation skills, capable of collaborating effectively with both technical and non-technical stakeholders.

• Problem-solving mindset with a passion for innovation and delivering measurable business value.

• Openness to learning new tools (e.g., Dataiku) and adapting to a rapidly evolving AI landscape.

As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.

Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. 

You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.

Responsibilities

• Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
• Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
• Provide white glove deployment support for Anthropic products in enterprise environments.
• Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
• Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
• Travel frequently (25-50%) to customer sites to build in person with customers.
• Be a champion for Anthropic’s mission in the field.

You May Be a Good Fit If You Have

• 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
• Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications 
• High agency with an ability to navigate ambiguity present in complex organizations.
• High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
• Passion for advancing safe, beneficial AI systems through creative technical applications.
• Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
• A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
• Experience with enterprise IT systems and/or AI deployment patterns is a plus.

About the role

As the Manager of the International Partnerships, Applied AI, Solutions Architect team at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) through our Global and Regional System Integrators (GSIs/RSIs), cloud partners (AWS and GCP), and strategic technology partners across international markets. Based in London, you will lead and grow a team of Partner Solutions Architects, establishing Anthropic's technical partner ecosystem across EMEA and beyond.

You'll be responsible for leading & growing the International Partnerships Applied AI team, establishing processes and best practices for partner-led pre-sales engagements, helping each team member achieve success, high productivity, and career growth, and representing Anthropic as a technical lead on some of its most important international partnerships.

In collaboration with the Sales, Partnerships, Product, and Engineering teams, you'll help partners incorporate leading-edge AI systems into their practices, solutions, and customer engagements. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to accelerate indirect revenue, enable partner AI practices, and execute on long-term international GTM strategy, while maintaining our best-in-class safety standards.

Responsibilities

• Team Leadership & Development: Manage and mentor a team of Applied AI, Partner Solutions Architects, providing both technical guidance and career development. Set goals and reviews for your team, promoting growth and output

• Strategic Technical Partnership: Serve as the senior technical thought partner to the Anthropic international GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities across international markets

• Partner Ecosystem Enablement: Embed your team with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues

• Joint Solution Development: Lead your team in collaborating with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment across international markets

• Customer Deal Support: Own the technical portions of partner-led pre-sales engagements, ensuring your team intervenes directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance

• Partner Ecosystem & Events: Represent Anthropic at international partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions

• Cross-Functional Collaboration: Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes. Partner closely with your aligned GTM leadership to co-build international partner strategies

• Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to international partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy

• Thought Leadership: Contribute to thought leadership through conference presentations, webinars, and technical content creation focused on the international partner ecosystem

You may be a good fit if you

• 7+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• 5+ years of technical go-to-market management experience, specifically managing pre-sales or partner-facing technical teams across EMEA, APAC, and other international regions.

• Track record of successfully building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, WPP, TCS, Infosys) and/or cloud providers (AWS, GCP) to solve complex technical challenges across international markets

• Experience with the unique dynamics of partner-led selling and delivery, including indirect revenue models and partner enablement at scale

• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including C-suite executives, engineering & IT teams, and partner leadership

• Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment

• Have excellent communication, collaboration, and coaching abilities

• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments

• Strong executive presence and ability to foster deep relationships with technical leaders and partner engineering teams

• Have at least a high-level familiarity with the architecture and operation of large language models and/or ML in general

• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems

• A love of teaching, mentoring, and helping others succeed

• Have a passion for making powerful technology safe and societally beneficial

• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks

Strong candidates may have

• Partner SA Leadership at Scale: 5+ years leading partner-facing solution architect teams through hypergrowth, with direct experience managing both senior SAs and developing junior talent in complex partner ecosystem environments

• AI/ML Technical Depth + Executive Engagement: Hands-on experience with AI/ML platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders and partner leadership in large-scale technical evaluations and joint GTM motions

• GSI Practice Building: Experience helping GSIs or consultancies build or scale their AI/ML practices, including enablement programs, certification paths, and joint solution development

Most AI roles keep you at arm’s length from the people the agents are supposed to help. This one puts you in the room with them. 

We’re building AI agents for risk managers, internal auditors, and compliance professionals, not assistants that surface suggestions, but agents that own complex, multi-step workflows end to end. Agents that an audit team can hand a task to and trust it will come back done. Getting from a promising agent prototype to something a Chief Audit Officer depends on is a completely different discipline to building the prototype. That’s what this role is about. 

As a Forward Deployed Engineer, roughly 80% of your time is with our biggest enterprise customers across Europe and the US. You’re embedded in their environments, sitting with internal audit teams as they plan an audit programme, with risk functions assessing their control landscape, with compliance teams navigating regulatory obligations. You’re not there to show them what the agents already do. You’re there to understand their world well enough to discover what the agents need to do next. 

You run discovery workshops, identify which workflows are genuinely ripe for agentic automation, prototype rapidly, test with real practitioners, and stay until the agent is reliable enough to be trusted. 

The other 20% is feeding everything you’ve learned back into the platform. The goal isn’t to accumulate bespoke agent builds, it’s to identify the patterns across risk and audit functions that should be generalised, so every subsequent engagement is faster and the agents get better for everyone. 

You sit in Product with a matrix into Engineering , which means you shape both the agent roadmap and the technical decisions that make agents work in production. 

This is not a sales role and it’s not consulting. 

You write code. You build evaluation infrastructure. You design golden datasets grounded in real audit and risk workflows. You catch agent regressions before a customer’s compliance team does. You’re accountable for outcomes. 

The Hard Parts of Agentic AI Are Your Domain 

Silent regressions when a model updates. Context window degradation across long audit workflows. Prompt instability under varied user inputs. Non-deterministic outputs in environments where a compliance officer needs to explain every decision to a regulator. You know these failure modes and you know how to build the guardrails, tracing, and evaluation infrastructure that prevents them. 

The Customer Environment 

Enterprise GRC, global banks, large regulated corporates, sophisticated internal audit and risk functions across Europe and the US. You don’t need a compliance background, but you need the curiosity to learn it fast and the presence to earn trust with senior risk and audit professionals. These are people whose professional reputations depend on getting this right; that’s a good reason to make the agents actually reliable. 

Travel is a meaningful part of this role. You’ll be on-site regularly with enterprise customers across EU and US markets. If you’re energised by variety, different industries, different regulatory cultures, different stages of agent maturity - this will suit you well. 

These are the essentials you’ll need to get an interview: 

Apply If You… 

• Have shipped at least one production agent and know what the reliability cliff feels like 

• Understand the full Agent Development Life Cycle: evaluation, guardrails, observability, regression - not just deployment 

• Are as comfortable in a room with a Chief Risk Officer as you are debugging a failing agent trace 

• Are genuinely curious about how risk managers, internal auditors, and compliance professionals work 

• Can tell the difference between a workflow that needs an agent and one that needs a button 

• Want to be the person who makes enterprise agentic AI actually land, not the person who hands it off 

People who do this kind of work go on to exceptional careers in product creation, product leadership, and founding companies. There is no faster path to understanding how to build agentic AI that creates real value than embedding directly with the people it needs to serve. 

Job Summary:

This is a captivating and exciting time to join Partnerize. We are at a pivotal point in our tech progression, looking to significantly expand our technical estate, scale the platform, and replace existing legacy systems with modern solutions. You will play a vital role in the ongoing operationalisation and management of our entire platform portfolio found in our on-prem datacentres and AWS cloud: Partnerize, BrandVerity, Ascend, and our recent acquisition, Konnecto. While there will be a key focus on integrating and supporting Konnecto's advanced data and AI layers, a critical pillar of your mission will be spearheading the development of our enterprise on-prem containerisation solution. This initiative is designed to fundamentally shift our engineering culture towards a "you build it, you own it" model. By providing robust, automated container platforms, you will empower our Engineering teams to deploy quickly and independently, significantly reducing the bottleneck created by relying solely on the TechOps department.

We are looking for a Lead SRE who is both a deep technical expert and a capable mentor. In this role, your primary responsibility is ensuring our diverse, hybrid systems remain available, scalable, and secure. You will act as an authoritative Subject Matter Expert (SME), championing developer autonomy, driving IT systems security policies, and working closely with the security compliance team to protect our platforms from threats while driving continuous integration and delivery.This role will report into the SRE and Application Manager providing them with technical guidance and recommendations whilst being the technical lead for the SRE team.

The Team

You will be responsible for ensuring the continuous development and progression of team members. We are looking for a player/coach who can mentor, empower, and up-skill talent. We have a mix of technical generalists, specialists, and junior engineers; you will help identify their strengths and constructively develop areas of weakness, guiding their technological career paths as we transition to a DevOps-centric operating model.

The Operational Reality

You will operate in a fast-paced, high-velocity environment where your work directly and visibly shapes the company's architectural future. This requires a highly adaptable and pragmatic leader who can balance strategic project delivery with hybrid-estate maintenance. By applying modern incident management frameworks to troubleshooting and ticket management, you are responsible for ensuring all issues across our estate are addressed decisively and efficiently.

As a Lead SRE, You Will:

Strategic & Operational Management

• Developer Empowerment&Containerisation
• Collaborate on the design, build, and rollout of a robust containerisation strategy (Kubernetes/Docker). Your goal is to assist in delivering a platform that enables Engineering teams to take full ownership of their code from build to deployment.
• Reliability & Error Budgets
• Define Service Level Indicators (SLIs), set Service Level Objectives (SLOs), and manage Error Budgets to expertly balance feature velocity with platform stability.
• Hybrid Platform Engineering & Konnecto
• Build software and systems to manage platform infrastructure across on-prem and AWS. Take the lead technical role in integrating and modernising Konnecto's architecture, ensuring its data ingestion and AI logic layers scale securely.
• FinOps / Cloud Cost Optimisation
• Manage, monitor, and optimise cloud infrastructure spend across our hybrid environments, ensuring architectural decisions are both highly performant and cost-effective.
• CI/CD Pipeline Responsibility
• Responsible for the continuous improvement, continuous delivery, and continuous integration pipelines to facilitate rapid engineering velocity.

People Leadership & Talent Development

• Mentorship
• Deliver coaching sessions to the team and individuals, acting as a technical escalation point and fostering a culture of knowledge sharing.
• Workload Management
• Scope the work coming into the SRE team, prioritise hybrid-estate maintenance vs. project delivery, and delegate tasks to team members to ensure prompt resolution.

Security & Architecture

• Design&Threat Modelling
• Produce production-grade application security designs. Perform design reviews and threat modelling of our services and products.
• Security Strategy
• Drive improvements to Partnerize platforms' security through strategic planning, vulnerability assessments, and security testing.

Incident Management&Toil Reduction

Toil Reduction Champion toil reduction through automation, continually identifying manual, repetitive operational work and engineering it out of existence.

Post-Mortems & Escalation

Act as the ultimate escalation point for complex support incidents, participate in the On-Call rotation, lead blameless post-mortems, conduct Root Cause Analysis (RCA), and aggressively track metrics like Mean Time To Recovery (MTTR).

General Duties

• Consulting&Planning
• Participate in system design consulting, platform management, and capacity planning.
• Escalation Support
• Act as the ultimate escalation point for complex support incidents and assignments while maintaining a high level of quality.
• On-Call
• Participate in the On-Call Rotation.

Essential Knowledge, Skills and Experience

Core Competencies

• Technical Ability
• Highly proficient SME capable of reliably applying technical methods, leading cultural technical shifts (e.g., DevOps adoption), and supporting the development of new skills in colleagues.
• Problem Solving&Decision Making
• Capable of making decisions quickly and decisively, weighing options, and approaching problems methodically and innovatively.
• Communication&Influence
• Effectively communicates initiatives to all stakeholders and is capable of procuring buy-in for key transformational projects (like containerisation rollouts).

Technical Competencies

• Cloud, Hybrid & Containerisation
• Essential knowledge of hybrid architectures, managing both AWS and on-premise environments. Extensive hands-on experience designing and managing advanced containerisation environments using Docker, Kubernetes, and Argo Workflows to enable developer self-service.
• Konnecto Tech Stack & Data Pipelines
• Proven experience managing modern storage layers and databases, specifically MongoDB and Snowflake. Experience supporting complex data ingestion layers, including clickdata streams, S3 raw/parsed ingestion, and Airflow ETL.
• Programming & Automation
• Experience in automation languages (Python orBash).
• Deep understanding of GitHub and experience implementing or working alongside AI coding tools and practices.
• Knowledge of Infrastructure as Code (Terraform, Ansible).
• Security&Observability
• Experience with security in a DevOps environment. Experience managing observability stacks (e.g., Prometheus, Grafana, and Loki).
• Operations&Troubleshooting
• Exceptional Linux system administration skills. Highly proficient in troubleshooting, diagnosing, and independently solving issues using modern incident management frameworks.

Desirable Knowledge, Skills and Experience

The following skills or experiences are advantageous but not strictly required

• Innovation&Debt Management
• A keen interest in new technologies, specifically supporting development teams in the refactoring of technical debt.
• Legacy Databases
• Strong experience with relational databases (MySQL, PostgreSQL, Redis).
• Data Streaming
• Experience with data streaming and queuing technologies, specifically Apache Kafka and Druid.
• Web&Storage
• Knowledge of Nginx (or other web server technologies) and storage technologies like Gluster.

UK Benefits & Perks

• 25 days holiday in addition to bank holidays 
• Enhanced Parental Leave: 6 months full pay for birth parent, 4 weeks non-birth parent at full pay after one year employment
• 5 extra 'Partnerize Parental Days' each year
• Private Medical Insurance through Vitality 
• Enhanced pension contributions
• Cycle to Work scheme 
• Eye Care Vouchers 
• Life Assurance
• Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Fridays program
• Regular company events and activities

The Mission

We’re looking for an enthusiastic and opinionated Principal AI Engineer to define how AI agents transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the foundations that power next-generation simulation and design tools used by industry-leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges.

Your mission is to architect the Agentic stack within this wider ecosystem. You will build a production-grade platform that enables our Product teams, FDEs, and customers to compose advanced AI workflows safely, transparently, and reliably.

• You will set the strategic direction for our platform's critical infrastructure and lead key implementation efforts.
• You are someone with the scar tissue of running agents in production.
• You have strong, reasoned opinions on emerging open standards (such as MCP, A2A, and ACP) and deep expertise in complex architectural patterns like durable execution and agent memory.
• You are passionate about building a world-class developer experience that transforms complex research into robust, deployed engineering solutions.

Core Responsibilities

You will serve as the principal architect for our Agentic ecosystem, responsible for the high-level design choices that define how agents run at PhysicsX. You will cover topics such as:

• Agent Observability: Own the implementation to enforce deep tracing, granular cost tracking, and observability across the lifecycle.
• Agent Deployment: Deliver an intuitive deployment lifecycle which simplifies questions around auth, discoverability and resource requirements.
• Agent Sandboxing: Architect secure environments to isolate and allow agents to operate safely.
• Agent Evals: Implement a stack that empowers domain experts to efficiently annotate traces, turning qualitative feedback into quantitative, reproducible evaluation datasets.
• Agent Governance: Implement robust identity and access patterns to ensure agents can safely and correctly act on behalf of users in a regulated enterprise environment.

The Tech Stack

• Core Platform: Python (Primary), Go or TypeScript (Secondary), Kubernetes, Docker, Terraform.
• Agentic Infrastructure: LangGraph/LangChain, Temporal (Durable Execution), Vector DBs (Pinecone/Weaviate).
• Observability & Evals: OTel, LangSmith, Arize, Braintrust.

Who You Are

• An Architect at Heart: You have strong, reasoned opinions on Durable Execution vs. Standard Async, Vector Search vs. Keyword Search, and Prompt Management strategies.
• Platform-First: You care deeply about the Developer Experience (DevEx) of the Customers, FDEs consuming your platform. You build tools that make the "right way" the "easy way."
• Security-Minded: You understand the risks of allowing LLMs to execute code and access data, and you know how to mitigate them via rigid sandboxing and permissioning.

Qualifications

• Platform & Backend Foundations:
  • 4+ years of experience in Platform Engineering, Backend, or SRE.
  • Strong proficiency in Python/Go, Kubernetes, Docker, and IaC (Terraform).
• Agentic & AI Engineering:
  • Production experience designing Agentic architectures (chains, tools, memory).
  • Familiarity with Agentic frameworks (LangGraph, PydanticAI) and patterns like durable execution.
  • Understanding of LLM-specific lifecycle issues: non-determinism, systematic evals, and token-based cost tracking.

Bonus Points

• Background in Engineering workflows or simulation platforms.
• Experience building internal developer platforms (IDPs).

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

About the Team:

Customer & Product Support (C&PS) sits at the intersection of sales, customer success and R&D teams. Through close teamwork and collaboration, we drive positive customer outcomes and ensure seamless access and optimal utilization of AlphaSense’s market-leading platform and products. We are committed to enhancing every user’s experience through consistent delivery of prompt and knowledgeable responses. The Customer & Product Support team is based globally across the US, UK, India and Singapore.

About the Role: 

We are looking for a proactive and experienced Senior Cloud Support Engineer to join our dynamic team. In this role, you will serve as a key technical resource and advocate for our customers, tackling complex technical challenges and driving customer satisfaction.  You will leverage your expertise in cloud technologies, distributed systems and AI-driven search platforms to ensure smooth deployment, troubleshooting, and optimization of customer solutions. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems. 

For longer-term growth opportunities within AlphaSense, we see this role as a stepping stone for those interested in growing into our Site Reliability Engineering (SRE) team. To make this possible, we have a program to facilitate ongoing training and tight collaboration with Engineering. Other options for progression pathways will be dependent on skill sets and individual performance goals. 

What You’ll Do: 

• Deliver exceptional technical support: Act as the second line of defense for technical queries, ensuring timely and effective resolution of customer issues through close collaboration between L1 support and R&D teams. 
• Troubleshoot and resolve technical challenges: Investigate, diagnose, and resolve issues related to both SaaS and private cloud environments, including AWS infrastructure and Kubernetes workloads, agentic systems and MCP connectors, providing necessary detail for Product and Engineering to carry forward complex cases.
• Collaborate cross-functionally: Partner with the wider Customer & Product Support organization, Product and Engineering and Customer Education teams to relay customer feedback, identify opportunities for improvement, and contribute to strategic product enhancements.
• Contribute to knowledge sharing: Create and update support documentation, KEDBs, FAQs, and tutorials to empower customers and internal teams.
• Be an advocate for customers: Represent the voice of the customer in internal discussions and initiatives to maximize the value of our platform and products.
• Be an expert on our product and continuously build your knowledge: Be an expert on the AlphaSense product by proactively learning, staying up-to-date on new features and filling any gaps in your knowledge.

Who You Are:

• A technically skilled professional with 3–5 years in technical support, IT operations, or a related field.
• A strong communicator with the ability to distill complex technical concepts for diverse audiences.
• A problem-solver with a proactive and customer-first mindset.
• Adaptable and eager to continuously learn and improve.
• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience) 
• Proficiency in CLI tools (e.g., kubectl, awscli) and scripting skills in Python, JavaScript, or similar
• Understand GraphQL, REST APIs and MCP related troubleshooting
• Experience and knowledge of connecting LLMs to external tools, including multi-agent systems 
• Experience with alerting/logging systems (e.g., Prometheus, Grafana, FireHydrant) 
• Demonstrated ability  to communicate complex technical concepts to customers and team members
• Experience in managing customer support cases throughout their lifecycle, including inquiry, triage, bug reporting, and resolution.
• Ability to create and maintain runbooks that ensure clear and actionable documentation for deeper troubleshooting procedures and Level 1 and 2 support training

Preferred Qualifications:

• Experience in networking and troubleshooting complex network issues
• Experience troubleshooting in at least one major cloud platform (preferably AWS) and containerized environments using Kubernetes or Docker.
• Extensive experience working with GraphQL and other web APIs
• Hands-on experience with Infrastructure as Code tools, such as Crossplane, and related troubleshooting 
• Experience with Search Technologies and Data Storages (e.g. Vespa, ElasticSearch, MongoDB, MySQL)
• Experience or familiarity with the Java programming language
• Experience with standard software release lifecycles

What’s the opportunity?

Intercom is the AI Customer Agent company. Our AI agent, Fin, is transforming customer experience for businesses, and we believe that the same AI transformation should power our R&D organization.

At Intercom, shipping is our heartbeat. We are hiring a Senior Engineer for Builder Tools: the AI Developer Experience Enablement team. This is the team that makes shipping delightful, fast, and low-toil for hundreds of engineers and agents.

Your mission is to help turn Intercom’s entire R&D organization into an AI-first engineering machine. We’ve made incredible progress, 90%+ of our code is already written by Claude, but that volume creates entirely new scaling and orchestration challenges. You will work across our codebases, developer environments, and internal tooling to make AI a trustworthy, everyday accelerant.

You will ship tangible solutions every day that work, prove their value, and scale. You’ll focus on developer enablement: operationalizing AI for real-world engineering effectiveness and eliminating drag so all of R&D can do their best work.

Learn how we ship 250 versions of Intercom per day, discover our engineering culture at intercom.engineering, and explore our engineering values.

What you’ll do?

• Build AI-driven automation agents that remove routine work with human-in-the-loop review, prioritize impact, prototype fast, and iterate until the automation transforms engineering.
• Make AI-assisted workflows the default in our developer environments: ship integrations, preconfigured workspaces, and developer agents that engineers want to use.
• Improve our codebases for AI: refactor, document, and introduce standards so agents and code suggestions are more accurate and reliable. Partner with repo owners to trial changes and measure outcomes.
• Instrument and measure everything: define success metrics, track adoption and impact, and use telemetry to guide improvements.
• Balance practicality and safety: design systems that consider cost, observability, privacy, and guardrails so AI features are dependable and trustworthy.
• Evangelise and enable adoption: work with engineering leads and internal champions, create playbooks and demos, and help teams get real benefit from the tooling.
• Ship production-grade services: own design, implementation, tests, and operational runbooks and agent skills.

What skills do I need?

We don’t expect perfection. If you have most of this and you’re excited, we want to hear from you. We can shape the position for the right person.

• Multiple years building and supporting high-performing systems, ideally in a SaaS, platform, or internal tooling context. You've introduced new tools or workflows that actually got adopted and made a difference.
• Practical AI toolchain experience: hands-on with LLMs, agents or code-assistants, model APIs, or prompt engineering. Demonstrated strong curiosity and a track record of learning these quickly.
• Deep knowledge of at least one major programming language (Ruby, Python, JavaScript, etc.). Experience restructuring, documenting, and modernizing large codebases is a massive plus.
• Developer experience obsession: you think in terms of developer time saved, reliable defaults, and usable workflows. You’ve shipped CI/CD, dev environment automation, code-quality tools, or similar.
• You align stakeholders, share best practices, make engineering trade-offs visible, and listen to your internal customers before acting.
• Bias to action and pragmatism: you iterate fast, unblock yourself and others, and stop or pivot when things do not deliver value.

Why join us?

You’ll be at the heart of Intercom’s shift to AI-first engineering. We’re giving engineers superpowers, shipping solutions that get real traction, and building a foundation for world-class developer productivity. You’ll work alongside kind, driven colleagues and have the autonomy to make a company-wide impact.

Benefits

About the role: 

Forter is looking for a Senior Software Engineer to join the AI Engineering team in a role focused on embedding directly with business teams to drive AI transformation. This role is outward-facing: you will sit alongside GTM and G&A functions — Sales, Marketing, Finance, HR, Legal, Customer Success — and fundamentally alter how these teams operate with AI.

Departments outside of R&D are still early in their AI journeys, and they need technically strong partners who can understand their workflows, identify the highest-leverage opportunities, and build the solutions that actually change how work gets done. If you see the value in sitting with a business leader, understanding a painful manual process, and shipping something in a week that saves hundreds of hours, then this role is for you.

Why should you join us?

This is a unique opportunity to own the end-to-end AI transformation of entire functions, with executive sponsorship and real mandate. You’ll be working as part of an incredibly strong team of senior engineers at the forefront of AI. The work revolves around learning the latest tech in AI, and leveraging it to change how hundreds of people across the organization work every day.

You'll operate with unusual autonomy: scoping problems directly with function leaders, deciding what to build, shipping it, measuring impact, and iterating. You'll work closely with senior leadership to ensure your work aligns with company strategy, giving you company-wide business impact and visibility.

What you will be doing:

• Embed with GTM and G&A teams (Sales, Marketing, Finance, HR, Legal, Procurement, Customer Success) to identify, scope, and prioritize the highest-impact AI opportunities within each function, and act as both product manager and engineer for these initiatives.
• Own the full lifecycle of each solution, from requirements gathering through deployment to adoption measurement and iteration, with a focus on business outcomes.
• Serve as the primary technical partner and AI advisor for business function leaders, translating their needs into engineering plans and helping them develop their own AI fluency.
• Develop and deliver hands-on AI enablement and training for non-R&D teams, building their ability to use AI tools independently and effectively.
• Collaborate with the team to leverage shared infrastructure (MCP servers, RAG systems, evaluation frameworks, guardrails) while feeding back requirements from the field.
• Measure and report on AI adoption impact — quantifying time saved, process improvements, and capability gains — to build the case for continued investment and to guide prioritization.

Who are you?

• 7+ years of software engineering experience, with a strong track record of shipping production systems.
• Demonstrated experience working directly with non-technical teams to deliver technology-driven transformation. 
• Exceptional communication skills: you can run a discovery session with a VP of Sales, write a clear project brief, present results to an executive audience, and pair with a junior analyst on prompt engineering, all in the same week.
• Strong product instincts. You naturally think in terms of user problems, adoption, and measurable outcomes rather than technical elegance for its own sake.
• Comfortable with ambiguity and self-direction. You won't have a detailed backlog handed to you; you'll build it by understanding the business.
• Passionate about LLMs, prompt engineering, and AI application patterns (RAG, agents, tool use). 

It’d be really cool if you also:

• Have led or played a central role in an AI or digital transformation initiative, with measurable results you can speak to.
• Have experience in product management, solutions engineering, or technical consulting roles in addition to software engineering.
• Are familiar with GTM/G&A tooling ecosystems (CRM, ERP, BI platforms, HRIS, marketing automation) and understand how AI can augment them.
• Have hands-on experience with agentic patterns (Claude Code, MCP, Strands Agents or similar), RAG systems, and evaluation frameworks.
• Have built internal AI tools or chatbots that non-technical users actually adopted and continued using.
• Have experience designing and delivering technical training or enablement programs.

Benefits include:

• Competitive salary and bonus plan
• Restricted Stock Units (RSUs)
• Private health insurance, including vision and dental coverage
• Generous PTO policy
• Half day Fridays, every Friday

About us:

Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction.

The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve.  Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. 

Trust is backed by data –  Forter is a recipient of over 10 workplace and innovation awards, including: 

• Great Place to Work Certification (2021, 2022, 2023, 2024)
• Fortune’s Best Workplaces in NYC (2022, 2023 and 2024)
• Forbes Cloud 100 (2021, 2022, 2023, 2024 and 2025)
• #3 on Fast Company’s list of “Most Innovative Finance Companies” (2022)
• Anti-Fraud Solution of the Year at the Payments Awards (2024)
• SAP Pinnacle Awards “New Partner Application Award” (2023)
• Fintech Breakthrough Awards – Best Fraud Prevention Platform (2023)

Life as a Forterian:

We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstrom can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

About the role: 

Forter is looking for a Senior Software Engineer to join the AI Engineering team in a role focused on embedding directly with business teams to drive AI transformation. This role is outward-facing: you will sit alongside GTM and G&A functions — Sales, Marketing, Finance, HR, Legal, Customer Success — and fundamentally alter how these teams operate with AI.

Departments outside of R&D are still early in their AI journeys, and they need technically strong partners who can understand their workflows, identify the highest-leverage opportunities, and build the solutions that actually change how work gets done. If you see the value in sitting with a business leader, understanding a painful manual process, and shipping something in a week that saves hundreds of hours, then this role is for you.

Why should you join us?

This is a unique opportunity to own the end-to-end AI transformation of entire functions, with executive sponsorship and real mandate. You’ll be working as part of an incredibly strong team of senior engineers at the forefront of AI. The work revolves around learning the latest tech in AI, and leveraging it to change how hundreds of people across the organization work every day.

You'll operate with unusual autonomy: scoping problems directly with function leaders, deciding what to build, shipping it, measuring impact, and iterating. You'll work closely with senior leadership to ensure your work aligns with company strategy, giving you company-wide business impact and visibility.

What you will be doing:

• Embed with GTM and G&A teams (Sales, Marketing, Finance, HR, Legal, Procurement, Customer Success) to identify, scope, and prioritize the highest-impact AI opportunities within each function, and act as both product manager and engineer for these initiatives.
• Own the full lifecycle of each solution, from requirements gathering through deployment to adoption measurement and iteration, with a focus on business outcomes.
• Serve as the primary technical partner and AI advisor for business function leaders, translating their needs into engineering plans and helping them develop their own AI fluency.
• Develop and deliver hands-on AI enablement and training for non-R&D teams, building their ability to use AI tools independently and effectively.
• Collaborate with the team to leverage shared infrastructure (MCP servers, RAG systems, evaluation frameworks, guardrails) while feeding back requirements from the field.
• Measure and report on AI adoption impact — quantifying time saved, process improvements, and capability gains — to build the case for continued investment and to guide prioritization.

Who are you?

• 7+ years of software engineering experience, with a strong track record of shipping production systems.
• Demonstrated experience working directly with non-technical teams to deliver technology-driven transformation. 
• Exceptional communication skills: you can run a discovery session with a VP of Sales, write a clear project brief, present results to an executive audience, and pair with a junior analyst on prompt engineering, all in the same week.
• Strong product instincts. You naturally think in terms of user problems, adoption, and measurable outcomes rather than technical elegance for its own sake.
• Comfortable with ambiguity and self-direction. You won't have a detailed backlog handed to you; you'll build it by understanding the business.
• Passionate about LLMs, prompt engineering, and AI application patterns (RAG, agents, tool use). 

It’d be really cool if you also:

• Have led or played a central role in an AI or digital transformation initiative, with measurable results you can speak to.
• Have experience in product management, solutions engineering, or technical consulting roles in addition to software engineering.
• Are familiar with GTM/G&A tooling ecosystems (CRM, ERP, BI platforms, HRIS, marketing automation) and understand how AI can augment them.
• Have hands-on experience with agentic patterns (Claude Code, MCP, Strands Agents or similar), RAG systems, and evaluation frameworks.
• Have built internal AI tools or chatbots that non-technical users actually adopted and continued using.
• Have experience designing and delivering technical training or enablement programs.

Trust is backed by data –  Forter is a recipient of over 10 workplace and innovation awards, including: 

• Great Place to Work Certification (2021, 2022, 2023, 2024, 2025)
• Fortune’s Best Workplaces in NYC (2022, 2023, 2024 and 2025)
• Forbes Cloud 100 (2021, 2022, 2023, 2024 and 2025)
• #3 on Fast Company’s list of “Most Innovative Finance Companies” (2022)
• Anti-Fraud Solution of the Year at the Payments Awards (2024)
• SAP Pinnacle Awards “New Partner Application Award” (2023)
• Fintech Breakthrough Awards – Best Fraud Prevention Platform (2023)

Life as a Forterian:

We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstrom can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

^{We're looking for a technically strong security leader to own PolyAI's security function end-to-end. This is a hands-on role — you'll be expected to investigate incidents yourself, configure tooling directly, and earn credibility with our engineering org through technical depth, not just seniority. You'll start with one Security Engineer and scale deliberately.}

^{What You'll Own}

• ^{Security strategy and roadmap — covering cloud infrastructure, AI/LLM pipelines, voice and telephony stack, and application security.}
• ^{Hands-on incident response — owning the playbook and running it; able to diagnose what happened without relying on engineering to interpret.}
• ^{Compliance program — SOC 2 Type II, ISO 27001, GDPR, and readiness for HIPAA and PCI DSS as we expand into healthcare and financial services.}
• ^{Architecture reviews — embedded in engineering and product decisions before deployment, not after; covering AI integrations, CCaaS partnerships, and third-party model supply chain.}
• ^{Security tooling — direct ownership of SIEM, MDM, IAM, secrets management, and endpoint protection.}
• ^{Customer security reviews — leading security due diligence}
• ^{Security culture — practical training and awareness programmes; security that enables velocity rather than slowing it.}

^{What You'll Bring}

• ^{Significant hands-on security experience — you've been in the technical weeds, not just in the governance layer.}
• ^{Cloud and application security depth (AWS, GCP, or Azure) — hard requirement.}
• ^{Experience securing engineering organisations at scale; able to review IaC, read code, and write a fix when needed.}
• ^{Strong compliance track record: SOC 2, ISO 27001, NIST; HIPAA/PCI working knowledge a plus.}
• ^{Leadership capability — can build and run a small team while remaining a strong individual contributor.}
• ^{Clear communicator: translates technical risk into business impact for executive and board audiences.}

^{Nice to Have}

• ^{AI/ML security experience: prompt injection, model supply chain risk, LLM inference security.}
• ^{Voice or telephony security background: SIP, PSTN, real-time audio infrastructure.}
• ^{M&A security due diligence experience.}
• ^{CISSP, CISM, or CISA certification.}

^{We offer competitive compensation based on experience, expertise, and the level of responsibility. This role also includes equity, giving you the opportunity to share in the long-term success of the business. The listed expectations reflect what we're hiring for, so we encourage you to review the job description carefully.}

^Benefits

^{💰 Participation in the company’s employee share options plan}

^{🏝 Tenure-Based PTO: You will receive 25 holidays when you join and will gain an additional 1 day after 2 years of service, then 1 day each year until capped at 32 holidays}

^{🏡 Flexible working from home policy}

^{🌎 Work from outside of the UK for up to 6 months each year}

^{🫂TELUS Health EAP 24/7 - offers you and your chosen family confidential, judgment-free support for any work, health, or life challenge}

^{🧡 Enhanced parental leave}

^{🚲 Bike2Work scheme}

^{📚 Annual learning and development allowance}

^{🏡 We’re all about making WFH work for you - that’s why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus!}

^{👨‍👩‍👧 Company-funded fertility and family-forming programmes}

^{🌸 Menopause care programme with Maven}

^{🏥 Private healthcare and dental cover, discounts on gym members and relaxation apps, and access to a range of mental health programs}

^{🌎 Sabbatical Program: 5-week paid sabbatical available after 5 years of employment}

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

AI features in JetBrains IDEs, developed by the IntelliJ AI team, have quickly become a core part of how developers work inside our IDEs. The IntelliJ AI team partners with product groups across JetBrains to embed advanced AI features that accelerate developer workflows and deliver real value to software engineers.

We are currently looking to hire a Senior Machine Learning Engineer to help us realize our ambitious vision of creating AI assistance that supports the entire development lifecycle across JetBrains IDEs. If selected, you will join the ML subteam within IntelliJ AI, driving the development of our ML system from end to end by defining evaluation and metrics, shaping context orchestration, and helping product teams tailor AI capabilities to their needs.

In this role, you will:

• Design and drive evaluation frameworks for AI features, including metrics, experiments, and agent trace analysis.
• Diagnose model performance issues (e.g. prompt drift, context mismatches, and latency/quality trade-offs) and translate findings into actionable improvements.
• Experiment with contexts and lightweight models to continuously develop our ML system.
• Act as the ML liaison for product teams across JetBrains, adapting and scaling AI capabilities in JetBrains IDEs to their needs.
• Build and maintain small helper models (e.g. re-rankers, classifiers, embedding models) to support domain-specific tasks.
• Collaborate with colleagues in ML, product, engineering, and analytic teams to deliver improvements and monitor their impact in production.
• Stay up to date with research in the fields of LLMs, agents, and evaluation, bringing best practices into our workflows.
• Mentor junior engineers and help shape team culture, processes, and tooling around experimentation and evaluation.

We’d be happy to have you on our team if you: 

• Have 5+ years of experience as an ML Engineer, with a solid background in production-grade ML systems (especially LLMs and agent architectures).
• Have experience with LLM evaluation methods and frameworks.
• Can design and run end-to-end experiments – hypotheses, metrics, data collection (including traces/logs), analysis, and decision-making.
• Are skilled in context-aware pipelines or conversational/agent systems.
• Have strong Python programming skills.
• Bring hands-on experience in fine-tuning or training smaller models (e.g. domain-specific fine-tuning and lightweight customizations).
• Communicate clearly and effectively across teams, translating ML/AI insights into product features.
• Have prior mentorship experience with ML/evaluation engineers.
• Thrive in a cross-functional, fast-moving environment, taking ownership, iterating quickly, and delivering results.

We’d be especially thrilled if you have: 

• Familiarity with agent-based systems and orchestrating multi-step reasoning agents.
• Experience with the Kotlin programming language.

#LI-MR1

About the role

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.

Strong candidates may also have experience with

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Senior Full-Stack Engineer - AI Agent Platform

London Victoria Office - Hybrid: 4 days in the office, 1 day working from home

We are looking for a Senior Software Engineer with deep expertise in AI/ML infrastructure to join our AI Platform team and help build the GenAI platform that powers every AI feature at Flo.

You will bridge core infrastructure, data engineering, and LLM development to deliver production-grade medical safety judges, fine-tuning pipelines, evaluation frameworks, and real-time personalisation. The team operates 60+ LLM-based evaluation judges, develops proprietary fine-tuned health models, and maintains active partnerships with Databricks, Google, OpenAI, Anthropic, and AWS.

What you’ll do

• LLM Judge Ecosystem: build and scale Judge-as-a-Service, prompt registries, calibration pipelines, and evaluation orchestration using MLflow 3.x
• Fine-Tuning and Serving: develop LoRA/SFT/preference optimisation pipelines for health-domain models (Llama, Gemma, MedGemma) and manage model serving at scale on Databricks
• Data and Evaluation Pipelines: build synthetic Q&A generation, golden test sets, reward function engineering, and Delta table schemas in Unity Catalog for reliable, reproducible evaluation data
• Infrastructure: maintain Terraform-managed AWS infrastructure (EKS, S3, IAM), Databricks AI Gateway, and CI/CD pipelines (GitHub Actions) with evaluation gates and progressive rollout
• Cross-Functional Impact: collaborate with Product, Security, Analytics, and Medical teams, develop internal SDKs and APIs consumed by 5+ teams, and engage directly with technology partners on pre-release capabilities

Experience and skills

Must have:

• Engineering maturity: 7+ years of software engineering, 4+ years focused on ML/AI platforms
• LLM experience: recent hands-on work with at least one of: fine-tuning, prompt engineering, LLM evaluation, or model serving
• Technical stack: strong Python across production services and data pipelines, data engineering fundamentals (Spark, Delta tables, Parquet)
• Platform and infrastructure: Databricks (MLflow, Unity Catalog, Model Serving), AWS (EKS/Kubernetes, IAM), Terraform, GitHub Actions
• Cross-domain flexibility: comfort working across ML, data engineering, and infrastructure. You don’t need to be expert in all three, but you contribute wherever the team needs it

Nice to have:

• LLM evaluation frameworks (judges, graders, calibration methodology) or fine-tuning techniques (LoRA, RLHF/DPO, model distillation)
• ML data engineering: synthetic data generation, evaluation dataset design, annotation pipelines
• Healthcare, regulated industry, or safety-critical AI systems experience
• Prompt optimisation frameworks (DSPy or similar), feature stores (Tecton)

#LI-KP1 #LI-Hybrid 

Team: Technology

Salary Range: £90,000 - £100,000 per annum

Role Type: Full-Time, Permanent 

Start date: As soon as possible 

Visa / Sponsorship Available: Not Available 

The Lead AI Engineer Role  

As we continue our mission to be the market-leading insurance platform for agile insurers, we’re excited to begin the search for a Lead AI Engineer to help shape the next generation of intelligent capabilities within the Send platform.

In this role, you will lead the design, development, and productionisation of AI-powered services built on top of public large language models (LLMs), enabling insurers to unlock deeper insights, automate workflows, and enhance underwriting decisions. You will own the end-to-end lifecycle of AI features-from rapid prototyping through to resilient, observable, production-grade systems-within a regulated financial services environment.

This is a hands-on leadership role where you will set the technical direction for AI engineering at Send, mentor a growing team, and collaborate closely with data engineering, product, and compliance teams. Together, you will deliver AI capabilities that are scalable, secure, auditable, and deliver real commercial value to insurers using the Send platform.

About Send 

We are the leading insurance platform, trusted by world-class insurers to help them navigate complex risks.

Our platform helps commercial insurers, MGAs and reinsurers modernise underwriting, cut friction, and grow profitably in complex markets.

We are the only platform purpose-built for multi-operating models. Our platform combines deep industry expertise with the ability to support a range of strategies and operating models.

Our Story:

We started Send because insurers had been let down for too long by rigid, legacy technology. The industry was ready to work differently – and so were we.

In 2017, our three founders set out with a clear vision: to transform commercial underwriting by combining advanced technology with deep industry expertise.

By 2019, we delivered our first commercial and specialty underwriting platform for Aviva GCS, streamlining operations, increasing efficiency, and giving teams the visibility they needed to make faster, better decisions.

Over the next six years, we rolled out multiple underwriting platform solutions across the UK and US, proving that modern underwriting technology could be powerful, flexible, and rapidly delivered.

In 2022, we won three industry awards and secured a $10m Series A to accelerate our growth. By 2024, Send was recognised as a “Leader” by IDC, Celent, and Datos – a testament to our momentum and our customers’ success.

In 2025, we doubled in size and deepened our expertise in both the London Market and North America – becoming the only underwriting platform purpose-built to support multiple operating models.

But we're not finished. Insurers want orchestration, not siloed systems. That’s why we continue to invest in our platform and orchestration engine – helping our customers win better business, faster.

The Send Team 

Over the past two years, Send has experienced significant growth, expanding our team by over 50% to more than 120 people. At the start of 2024, our team was primarily based in the UK and Poland. Since then, we’ve taken major steps toward building a global presence, with team members now located across the UK, US, India, and Ireland-all working collaboratively toward our vision of becoming the market-leading software platform for agile insurers.

Our Funding 

From 2017 to 2022, we bootstrapped our growth journey, building a profitable and stable company. In November 2022, following a year of strong customer and team growth, we secured $10 million in Series A funding to accelerate our expansion across the UK and US, as well as to further enhance our product development. We’re proud to have the support and expertise of our investors, Mercia and Breega.

We are now preparing for our Series B round and are excited about the growth acceleration this will enable. 

What You’ll Be Doing as a Lead AI Engineer 

 Designing and delivering AI-powered services

• Architect and build production-grade services that integrate with public LLM APIs (such as OpenAI, Anthropic, Google, Cohere, or similar).
• Develop capabilities including prompt engineering, retrieval-augmented generation (RAG), fine-tuning pipelines, and agent-based workflows.
• Design robust API layers, orchestration patterns, and evaluation frameworks to ensure reliable, cost-efficient, and low-latency AI features.
• Implement guardrails, content filtering, and output validation suitable for a regulated financial services environment.

Building and evolving the AI platform

• Define and evolve Send’s AI platform architecture, including embedding stores, vector databases, prompt versioning, and experiment tracking.
• Build containerised, cloud-native services using modern infrastructure approaches (Docker, Kubernetes, serverless).
• Develop CI/CD pipelines, automated testing frameworks, and infrastructure-as-code to support reliable AI delivery.
• Ensure strong observability across AI workloads, including logging, tracing, token usage monitoring, drift detection, and model performance dashboards.

AI governance, compliance, and risk

• Partner with compliance, risk, and information security teams to ensure AI capabilities meet regulatory expectations within financial services (FCA, PRA, GDPR).
• Lead the implementation and ongoing compliance of ISO 42001 (AI Management Systems), embedding governance and documentation into engineering processes.
• Establish model governance practices such as audit trails, explainability documentation, bias testing, and human-in-the-loop review processes.
• Own and evolve the responsible AI framework, covering data provenance, consent management, and model risk oversight.

Providing technical leadership

• Set the technical vision and roadmap for AI engineering at Send, evaluating emerging models, tooling, and techniques.
• Mentor and support engineers across the team, fostering a culture of experimentation, engineering excellence, and continuous learning.
• Represent AI engineering in cross-functional planning, architecture discussions, and strategic stakeholder conversations.

The Skills and Experience Needed for the Lead AI Engineer Role 

• Significant software engineering experience (typically 5+ years), with a strong focus on Python in production environments, including modern frameworks such as FastAPI or Starlette, dependency management, and robust testing practices.
• Proven experience building and shipping production services that integrate with public LLM APIs, including prompt design, agent or chain orchestration (e.g. LangChain, LlamaIndex, Semantic Kernel, or similar), and retrieval-augmented generation (RAG) architectures.
• Strong understanding of LLM fundamentals, including tokenisation, context windows, embeddings, vector similarity search, and the trade-offs between fine-tuning and in-context learning, alongside practical approaches to evaluating model performance.
• Hands-on experience building cloud-native AI/ML infrastructure on platforms such as AWS, Azure, or GCP, including serverless compute, managed containers, object storage, and scalable networking.
• Experience working within a regulated environment (financial services, insurance, banking, or fintech), with an understanding of how compliance, governance, and risk considerations influence engineering decisions.
• Solid data engineering fundamentals, including experience with SQL, columnar data formats such as Parquet or Arrow, modern ETL/ELT patterns, and data pipeline orchestration tools such as Airflow or Prefect.
• A track record of technical leadership, contributing to architecture decisions, setting engineering standards, reviewing code, and mentoring other engineers within a team.

Nice to have

• Experience working with open-source or self-hosted LLMs (such as Llama or Mistral) and model serving frameworks like vLLM, TGI, or Triton.
• Familiarity with LLM evaluation and prompt-testing frameworks to systematically measure output quality across different use cases.
• Knowledge of advanced retrieval techniques such as hybrid search, re-ranking, knowledge graphs, or structured information extraction.
• Experience designing multi-agent systems, tool-use patterns, or autonomous AI workflows in production environments.
• Experience in insurance, insurtech, or underwriting data domains (e.g. bordereaux, claims, or underwriting workflows).
• Awareness of ISO 42001 or experience contributing to an AI governance or management framework aligned with the standard.
• Contributions to open-source AI/ML projects, technical publications, or active participation in the AI engineering community.

What’s on Offer - Life at Send 

Health Insurance - Provided through AXA, covering medical, dental, optical, mental health, and therapies. Employees also have free access to Spill, offering confidential mental health support and therapy.

Life Insurance - Covers four times your basic salary, along with Income Protection for up to 36 months at 75% of salary, including rehabilitation support.

Pension Scheme - A salary sacrifice pension scheme through Royal London. Send contributes 8%, with a minimum employee contribution of 4%.

Time Off - 25 days of annual leave, plus public holidays. We also offer volunteering time and a dedicated wellness day.

Learning and Development - An annual budget via Learnerbly, providing access to books, courses, conferences, and other resources to support your growth.

Check out Send’s public Handbook for more information about our product, recruitment process, team, benefits, and much more.

Lead AI Engineer Interview Process 

Our recruitment process for the Lead AI Engineer role consists of at least four stages: 

Stage 1 - Introductory Call with our in-house recruiter, Lou (30 minutes):
This will cover your background, motivations, and communication skills, along with an opportunity to learn more about Send and the role.

Stage 2 - Interview with Dan Pass, CTO (45 minutes)

Stage 3 - Interview with Alice Butler, Engineer and Phil Huntley, Product Manager (45 minutes).

Stage 4 – Interview with Greg Hall, Head of Engineering and Jason Einon, Head of DevOps

Final Stage - 30-minute Call with a Send Founder

At Send, we’re focused on strengthening our culture-not hiring people who simply “fit” into it. We believe that a diverse, equitable, and inclusive team drives innovation, creativity, better decision-making, and stronger performance.

If you’re interested in a role at Send but don’t meet every requirement listed, we still encourage you to apply. Research shows that women, Indigenous people, and individuals of colour often hesitate to apply for roles unless they meet every single qualification. We’re committed to changing that.

We welcome applications from everyone, regardless of background, ethnicity, or culture. We are committed to reviewing all applications fairly and do not discriminate based on race, ethnicity, colour, religion or belief, national origin, sexual orientation, age, marital or civil partnership status, family status, pregnancy or maternity, disability (visible or invisible), gender identity or expression, or any other legally protected status.

We know that inclusive hiring is an ongoing journey, and we’re always looking to improve. If you have feedback on our hiring or interview process, we’d love to hear it.

If you have specific needs or adjustments that would support you during the application process, you can share them in the space provided in your application-we want to ensure your experience is as smooth and comfortable as possible.

Need support with your application or have a question about the role? Email us at liam.longstaff-pagoni@send.technology.

About the Team

Miro is on a mission to empower teams to create the next big thing, and our teams are at the forefront of making that vision a reality. Our teams drive AI-powered innovation across Miro's platform by building robust technical foundations, delightful product features, and intelligent capabilities that transform how users interact with content on the canvas. Whether developing structured widget capabilities that help users visualize and interact with complex information, building AI platform infrastructure, or creating intelligent features that anticipate user needs, our work is foundational to Miro's evolution.

About the Role

As an AI Engineer, you'll design and build AI-driven capabilities that enhance how users create, transform, and collaborate on canvas. You'll bridge AI innovation and product delivery - shipping delightful, safe, and reliable experiences that leverage cutting-edge LLMs while maintaining the performance and polish users expect from Miro's collaborative canvas.

What you’ll do

• Design, develop, and ship AI-driven capabilities—including agents, intelligent assistants, context-aware prediction, and generative AI—using Python, top-tier LLMs, TypeScript, React, Canvas, and WebGL
• Engineer high-performing AI workflows leveraging LLMs (OpenAI, Anthropic Claude, Google Gemini), prompt engineering, and generative techniques—ensuring reliability, scalability, and maintainability
• Execute end-to-end AI projects from conceptualization and prototyping to production code, collaborating closely with product managers, designers, and engineers
• Experiment and iterate on AI capabilities within your team domain, staying ahead of emerging AI tools, frameworks, and techniques
• Champion best practices in AI system development—including evaluations, LLMOps, CI/CD, observability, and ethical AI principles
• Measure and optimize AI performance, establishing benchmarks for user engagement, model accuracy, latency, error rate, and drift
• Write clean, well-tested, maintainable code, participating in code reviews and® technical discussions across the stream
• Troubleshoot and resolve production issues, ensuring high availability and performance

What you’ll need

• 3+ years of professional experience with a proven track record delivering AI-first capabilities in customer-facing products—driving value through features users directly interact with
• Excellent communication skills, able to translate complex technical concepts for non-technical stakeholders
• Strong Python skills and familiarity with FE technologies (e.g. Typescript, React etc)
• Demonstrated expertise in prompt engineering and context engineering using top-tier LLMs (OpenAI GPT, Anthropic Claude, Google Gemini)
• Ability to develop high-quality, production-ready code within complex codebases
• Experience with LLM evaluation frameworks and a track record of building evals that meaningfully inform model selection, prompt iteration, or feature quality.
• Solid understanding of ML fundamentals, including probabilistic modeling, evaluation techniques, and deep neural networks
• Experience with LLMOps and cloud services (AWS, Azure, Amazon Bedrock, etc.)
• AI-First Proficiency. We’re building for an AI-first future, and we’re looking for graduates who aren’t just using AI—they’re mastering it. We’re excited to meet early-career engineers who have moved beyond simple chat prompts and have truly integrated AI into their development flow. Whether it’s using AI agents for autonomous debugging, analyzing logs, or rapidly prototyping and shipping features to production, we value the ability to "pilot" these tools to deliver high-quality code at an ambitious pace.
• Nice-to-have: Experience with rendering technologies like WebGL, Canvas API, or 2D graphics libraries (PixiJS, Skia)
• Nice-to-have: Real-time technologies experience (WebSocket)
• Nice-to-have: Vector databases, RAG pipelines, LangChain, or agent frameworks
• Nice-to-have: Multi-modal AI or long-context handling
• Nice-to-have: ML frameworks: PyTorch, TensorFlow, Hugging Face Transformers

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-JR1

The Role:

As a Forward Deployed Engineer, you will partner closely with our founders and the AI Product Managers to prototype and deploy AI‑driven solutions that solve our customers’ most pressing problems. This is a founding engineering role with high visibility; you will report directly to our Head of AI Strategy and Outcomes. You will also partner with other members of the executive leadership team who are based at our Mountain View HQ, collaborate with our Bangalore‑based engineering team, and engage daily with enterprise customers. You will help define how we work with our most important customers, shape the company’s first ever forward deployed engineering function, and contribute to our mission of helping brands win in AI‑driven e-commerce.

Location / Travel:

This position is on-site at our London office with approximately 50% travel expected to client locations. We are only considering candidates located in the London, UK area at this time.

About the Team

About the Role

What you’ll do

• Work with product, UX, and engineering teams to help shape the product vision and create user-focused content for high-priority AI features and initiatives – ensuring clarity and consistency across the product
• Design and develop prompts, UI copy and error messages to help our users adopt Sidekicks and Flows and get high quality results when using them
• Plan, develop and deliver conversational content that guides users effectively, reduces cognitive load, and aligns with Miro’s voice and tone guidelines
• Contribute to the refinement and application of Miro’s content design guidelines, particularly focused on refining our AI principles and guidance which will ultimately need to live in our design system and MCPs
• Collaborate with design and UX research to conduct user research, test content hypotheses, and iterate solutions based on data and feedback
• Participate in design and product reviews, providing clear rationale for your content design decisions
• Advocate for the value of content design, helping to integrate the discipline into the broader product development process

• Writing and testing system prompts, then debugging the model 
• Defining evaluation criteria with engineering and reviewing AI outputs against quality benchmarks
• Shaping conversation flows and interaction patterns in design crits and tiger teams
• Running through edge cases to figure out where the AI breaks and how to recover gracefully
• Creating conversation starters and prompt suggestions that teach users what's actually possible

What you’ll need

• 6+ years of experience in content design or UX writing, with a strong background in creating content for digital products
• A strong portfolio showcasing your ability to create clear, user-focused content and demonstrating the impact on user experience and business goals
• Proven experience working closely with cross-functional teams, including product management, UX design, and engineering, to deliver seamless content solutions
• Deep understanding of UX writing principles, information architecture, and user-centered design methodologies
• Familiarity with AI products, conversation design, or prompt engineering (you don't need to be an engineer, but you should be comfortable getting hands-on with how AI systems behave)
• Ability to align product content strategy with business objectives, balancing user needs with technical feasibility
• Strong written and verbal communication skills, with the ability to articulate the value of content design and collaborate effectively across diverse teams
• A proactive and flexible approach, comfortable working autonomously in a fast-paced, sometimes ambiguous environment and managing multiple priorities

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-ID2

Lead AI Engineer (Principal Consultant)
Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems.

The Role
We’re looking for a Lead AI Engineer (Principal Consultant) to join our Technology Delivery Team. You’ll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you’ll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration.

What You’ll Do

• Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video)

• Design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG

• Fine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latency

• Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments

• Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption

What We’re Looking For

• Bachelor’s degree or higher in Computer Science, AI, or related STEM fields

• Hands-on experience deploying LLMs and multi-modal models at scale

• Strong engineering background in Python with proven backend and API development skills

• Solid understanding of scalable MLOps, observability, and cloud-native AI deployment

• Excellent communication, problem-solving, and project management skills in agile environments

Bonus Points For

• Experience with agentic frameworks (e.g., LangChain, LlamaIndex)

• Experience in deep learning frameworks and front-end development

• Familiarity with Langfuse, Langsmith, or other LLM observability tools

• Understanding of Model Context Protocol and bias/hallucination mitigation techniques

• Previous success in integrating GenAI solutions into enterprise-scale systems

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions

• Work in a collaborative, flat, and entrepreneurial consulting culture

• Access continuous learning, training, and industry certifications

• Be part of a team shaping the future of digital financial services

• Help shape the future of digital transformation across FS & Energy.

Benefits
We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
• Continuous Learning: Your growth, your way - minimum 40 Hours of Training Annually. Take your pick; workshops, certifications, e-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
• Healthcare Access: Convenient online GP services.
• Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

#LI-DNI