LLM Jobs in Sofia.
All active LLM roles based in Sofia.
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Critically, this role sits at the intersection of data, AI, and people. The ideal candidate will be as comfortable enabling a frontline sales rep to understand and act on a dashboard as they are presenting strategic insight to a C-suite audience. They will also be a confident and curious adopter of large language model (LLM) tools — using AI to accelerate their own analytical workflow and helping the wider business do the same.
Key Responsibilities
- Business Analysis & Stakeholder Partnership
- Act as the primary analytics partner to senior commercial stakeholders across Sales, Marketing, Customer Success, and Revenue Operations.
- Apply strong business analysis discipline — translating ambiguous business questions into well-scoped requirements, clear success criteria, and structured analytical briefs before any build begins.
- Proactively surface insights, trends, risks, and opportunities that inform decision-making at leadership level.
- Support strategic initiatives such as CRM consolidation, demand intelligence optimization, territory and book-of-business changes, and forecasting improvements.
- Own end-to-end project management of analytics deliverables — from requirements gathering and prioritization through to delivery, adoption, and iteration — ensuring stakeholders are informed and timelines are met
- Communication, Enablement & Influence
- Demonstrate exceptionally strong communication skills across all levels of the organisation — from crafting executive narratives for senior leadership forums to running hands-on enablement sessions for managers and frontline sales representatives.
- Translate complex data, AI outputs, and analytical findings into plain-language stories that drive clarity, confidence, and action.
- Design and deliver enablement programmes that help managers and reps understand, trust, and act on dashboards, KPIs, and AI-generated insights — building genuine data literacy across the Revenue Organisation rather than dependency on the BI team.
- Champion clear, consistent communication of what metrics mean, how they are calculated, and why they matter — removing ambiguity at every level.
- Influence without authority; build credibility with senior stakeholders through the quality of insight and the integrity of the underlying data.
- Analytics, Reporting & Insight
- Own the design and delivery of executive-level dashboards and self-service reporting, primarily using Power BI.
- Ensure consistent definitions and calculations for revenue KPIs, North Star metrics, and commercial performance indicators.
- Conduct deep-dive analyses to diagnose performance issues and recommend actionable next steps.
- Write and optimise advanced SQL queries to extract, transform, and validate data across our Databricks data warehouse and connected source systems.
- Leverage Databricks as the central analytical platform — working within notebooks, SQL warehouses, and the broader Lakehouse environment to build reliable, scalable analytical outputs.
- AI & LLM Integration
- Be a power user and internal advocate of LLM-based tools, including Microsoft Copilot and Anthropic Claude (including Claude Code), using them to accelerate analysis, generate and review SQL, draft communications, and surface insight more efficiently.
- Help define and create LLM agents for the Go To Market organisation – connecting context to frontline AI tools such as MS Copilot and Salesloft.
- Proactively identify opportunities to embed LLM and AI capabilities into BI workflows, dashboards, and analytical processes — raising the ceiling of what the team can deliver.
- Work with the Senior Manager of BI to evaluate and scale AI-assisted analytics approaches across the team, including the use of Databricks' native LLM and AI capabilities.
- Help commercial stakeholders and frontline teams understand and appropriately trust AI-generated outputs — building confidence in AI tools through clear explanation, demonstration, and enablement.
- Data Modelling & Quality
- Partner with Data Analytics Engineers to define analytical data models that support revenue, pipeline, customer lifecycle, and performance reporting.
- Validate data accuracy and integrity across the analytics layer, proactively identifying and resolving issues before they impact decision-making.
- Contribute to data governance standards, metric documentation, and reporting best practices.
- Technology & Tooling Context
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- The Lead Business Analyst will work within a modern BI and revenue intelligence stack, including:
- Layer Tools
- Data Warehouse & Analytics Databricks (central data warehouse with LLM capabilities)
- BI & Visualisation Power BI
- AI & LLM Tooling Microsoft Copilot, Anthropic Claude, Claude Code, Databrick Genie, Databricks hosted LLM models
- Core Commercial Systems Salesforce (multiple instance), PlanHat, &
- Revenue & Demand
- Intelligence Clay
- Sales Enablement &
- Engagement Salesloft (including AI and conversational intelligence) & HighSpot
- A strong understanding of how these systems connect — and how data flows end-to-end from source systems to executive dashboards and frontline tools — is essential.
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- Required Experience & Skills
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- 8+ years of experience in a Business Analysis, Analytics, or BI within a SaaS or technology-driven organisation.
- Experience supporting RevOps, Sales Operations, or Commercial Analytics teams.
- Advanced SQL skills — comfortable writing complex queries, debugging data issues, and working directly within a cloud data warehouse environment; Databricks experience strongly preferred.
- Strong business analysis capability — proven ability to scope, structure, and document analytical requirements with rigour before moving into delivery.
- Proven project management skills — able to manage multiple concurrent workstreams, set and meet deadlines, and maintain clear stakeholder communication throughout.
- Exceptionally strong communication skills — a natural and compelling communicator in written and verbal form, equally effective presenting strategy to a VP as running a training session for a team of account executives.
- Demonstrated experience designing and delivering stakeholder enablement on data, dashboards, or analytics tooling — not just building outputs, but ensuring they are understood and adopted.
- Proven experience delivering executive-ready dashboards and self-service reporting (Power BI preferred).
- Strong commercial and revenue-focused business acumen.
- Active and confident user of LLM tools such as Microsoft Copilot or Anthropic Claude in a professional analytical context.
- Preferred Experience
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- Hands-on experience with Databricks — including SQL warehouses, notebooks, and the Lakehouse architecture.
- Experience using Claude Code or similar AI coding assistants to accelerate SQL development, data validation, or analytical scripting.
- Familiarity with CRM and GTM analytics — Salesforce, pipeline reporting, forecasting, MEDDPICC, territory models.
- Hands-on Experience with Clay
- Ideally experience with Python (e.g. connecting to APIs)
- Exposure to building or scaling data literacy programmes within a commercial organisation.
- What Success Looks Like
- Leaders trust the dashboards and insights/recommendations produced and use them to run the business with confidence.
- Managers and frontline reps understand and act on data, insights, and AI outputs — because this role has invested in enabling them, not just building for them.
- KPIs and metrics are clearly defined, consistently applied, and widely adopted across the organisation.
- LLM and AI tools are meaningfully embedded into BI workflows, improving speed, quality, and reach of analytical output.
- The BI team is seen as a strategic partner — not just a reporting function.
- Data quality issues are proactively identified and resolved before impacting decision-making.
- Projects are delivered on time, with clear communication and minimal surprises for stakeholders.
Ready to apply?
Apply to Cision
About Man Group
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.
Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com
* As at 31 December 2025
The Role
Join our high-performing Site Reliability Engineering (SRE) team and play a pivotal role in ensuring the reliability, scalability, and performance of the technology powering Man Group’s hedge funds. You’ll have the autonomy, tools, and support to innovate and shape the future of our platform. This is an opportunity to work on cutting-edge projects, gain mentorship from senior leaders, and develop a deep understanding of both technology and the business.
As an SRE, you’ll take ownership of service reliability and deliver solutions that make a real impact. Your initial focus will include leveraging AI to accelerate incident diagnosis and resolution, improving observability, capacity planning, and automation. Over time, you’ll work across our entire infrastructure stack, operating at scale and driving continuous improvement.
Role Responsibilities
- Ensure reliability and performance of critical systems across global infrastructure through proactive monitoring and rapid incident response.
- Design and implement observability solutions using tools like Prometheus, Grafana, ELK, and Loki to provide deep insights into system health.
- Automate operational tasks and build self-service capabilities to eliminate toil and improve efficiency.
- Develop and maintain SLIs, SLOs, and error budgets to guide reliability improvements and inform engineering priorities.
- Participate in incident response efforts, blameless post-mortems, and implement preventive measures to reduce recurrence.
- Collaborate with development teams to improve system design, deployment practices, and operational excellence.
- Operate at scale, managing petabyte-level storage, large CPU/GPU deployments, and high-throughput distributed systems.
- Contribute to capacity planning and performance tuning, ensuring systems meet business demands.
- Manage multiple ELK clusters hosting hundreds of terabytes of logs, telemetry, and APM data.
Key competencies
Required
- Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and reliability best practices.
- Hands-on experience with observability and monitoring tools (Prometheus, Grafana, ELK, Loki, or similar).
- Proficiency with automation tools (Ansible, Terraform) and scripting/programming languages (Python, Go, PowerShell).
- Strong troubleshooting and debugging skills across distributed systems, with the ability to diagnose complex production issues under pressure.
- Experience with incident management, on-call rotations, and post-incident reviews.
- Familiarity with Kubernetes and container orchestration.
- A proactive mindset and ability to take ownership of reliability initiatives.
Advantageous
- Experience with CI/CD pipelines and source control workflows (Git, Jenkins, TeamCity).
- Administration of Linux and Windows systems and exposure to cloud technologies (AWS/Azure).
- Understanding of networking concepts, load balancing, and distributed architectures.
- Knowledge of AI/LLM concepts (context windows, prompt tuning, MCP servers).
- Interest in FinOps principles, desire to understand the true cost of our decisions.
- Excellent communication and collaboration skills.
Benefits
- Modern office located in the OfficeX campus with easy access to transport and amenities.
- Hybrid working model
- Competitive compensation package
- 25 days holiday allowance
- Premium Health insurance
- Employee Assistance program
- Referral Bonus
- Additional days off for long service and volunteering
- Multisport card
- Opportunities for professional development including internal tech talks
- Conference attendance, and engagement with the open-source community.
Inclusion, Work-Life Balance and Benefits at Man Group
You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity.
You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering.
Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.
Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.
Ready to apply?
Apply to Man Group
About Man Group
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.
Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com
* As at 31 December 2025
The Team
We are seeking an experienced System Engineer to join our End User Engineering team. You’ll play a critical role in building and maintaining the automation frameworks that underpin our End User infrastructure operations. This position offers the opportunity to work with cutting-edge technologies at scale, supporting our End User platforms.
You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.
Role Responsibilities
As an System Engineer, you’ll design, implement, and maintain infrastructure-as-code solutions, configuration management, monitoring systems, whilst also supporting business-as-usual activities.
You’ll work closely with the entirety of our infrastructure organization, and other platform teams to drive automation initiatives that help us further provide platforms that drive our delivery. The role is subject to on-call rotation.
Key Competencies
Required
- Experience supporting End User platforms such as Microsoft 365 and Slack.
- Exposure to identity management and associated technologies (Active Directory, Entra ID).
- Experience supporting End User clients such as Windows, MacOS, and mobile devices.
- Proficiency with automation tools (Ansible, Terraform) and scripting/programming languages (Python, Go, PowerShell).
- Strong troubleshooting and debugging skills across distributed systems, with the ability to diagnose complex production issues under pressure.
- Awareness of security best practices, and infrastructure architecture patterns.
- Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow
Advantageous
- Experience with device management, including Intune and Jamf
- Hands-on experience with observability and monitoring tools (Prometheus, Grafana, ELK, Loki, or similar).
- Experience with CI/CD pipelines and source control workflows (Git, Jenkins, TeamCity).
- Knowledge of AI/LLM concepts (context windows, prompt tuning, MCP servers).
- Self-organised with the ability to prioritise and effectively manage time across multiple projects.
- Excellent communication and problem-solving skills with the ability to explain complex technical concepts to diverse audiences.
Benefits
- Modern office located in the OfficeX campus with easy access to transport and amenities.
- Hybrid working model
- Competitive compensation package
- 25 days holiday allowance
- Premium Health insurance
- Employee Assistance program
- Referral Bonus
- Additional days off for long service and volunteering
- Multisport card
- Opportunities for professional development including internal tech talks
- Conference attendance, and engagement with the open-source community.
Inclusion, Work-Life Balance and Benefits at Man Group
You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity.
You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering.
Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.
Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.
Ready to apply?
Apply to Man Group
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
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Business Insider named us an “enterprise startup to bet your career on”
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Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
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Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
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Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:
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Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.
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Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
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Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
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Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
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Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
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Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
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Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
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Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
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Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.
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Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
Example Projects
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Building an evaluation and observability framework for AI model performance and reliability.
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Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.
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Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.
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Designing AI services that process and reason over high-volume real-world data at scale.
Requirements
Qualifications / Experience / Technical Skills
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
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5+ years of experience as a Software Engineer, with strong proficiency in Python.
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Proven track record of building and maintaining production-grade systems using Python.
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Strong understanding of distributed systems, API design, and data-driven architectures.
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Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
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Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
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Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
- Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD
Preferred Skills
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Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
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Background in developer platforms or AI infrastructure services.
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Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
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Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
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Experience developing enterprise-scale SaaS or distributed backend systems.
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Contributions to open-source projects in Python, AI, or infrastructure engineering.
Soft Skills / Personal Characteristics
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Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.
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Collaborative and proactive approach, comfortable working across teams in a dynamic environment.
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Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.
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Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.
(REQ ID: 2459)
Ready to apply?
Apply to Workato
Company Mission
Payhawk is a leading global spend management solution for scaling businesses. Headquartered in London and combining company cards, reimbursable expenses and accounts payable into a single product; its future-facing technology enables finance teams to control and automate company spending at scale.
The Payhawk customer base includes fast-growing and mature multinational companies in 32 countries including LuxAir and Wagestream. With offices in New York, London, Berlin, Munich , Barcelona, Paris, Amsterdam, Vilnius and Sofia; Payhawk is backed by renowned investors such as Lightspeed Venture Partners, Greenoaks, QED Investors, Bek Ventures and Eleven Ventures.
Our values include supporting flat hierarchies, taking ownership and responsibility, seeking and providing feedback, managing constructive critique, and speaking our minds. We understand that the best ideas don’t all come from the same place, so we encourage diversity and inclusion in all areas of our work.
The future of fintech is about more than money, and we believe in work-life balance, continual learning, and empowered teams. We’re also on a journey to measure and improve our environmental and social impact. From virtual cards to digital subscriptions, our software and automation help take paper out of the equation for our customers, too.
We’re changing the world of payments, and we’re looking for an exceptional team to help us.
About the Role
To achieve our visionary goals, we are scaling up our robust engineering team and looking for a Full Stack Software Engineer to meet the compelling challenges we face. Our product consists of many services that are not limited to a single technology so it’s important that you are technology agnostic and eager to learn new stuff. You’ll be responsible for delivering entire, highly complex features to production. As part of a team of talented and highly experienced individuals, you’ll have the opportunity to shape everything. Our goal is to produce the best solution for our customers.
Being part of the Payhawk team means that you’ll be developing a world-class product in the fast-growing fintech industry. We deliver an exceptional solution, and to continue doing so, we seek out the top 1% engineering talent.
Responsibilities
- Lead the build of new product features and maintain existing ones by driving impactful engineering initiatives and owning end-to-end delivery.
- Participate in the full software development lifecycle, including frontend, backend, testing, deployment, and LLM-based functionalities where applicable, while contributing to the architecture and proposing scalable, sustainable solutions.
- Collaborate with product managers and designers to capture requirements and gain a strong business perspective on the features being implemented.
- Break down complex, ambiguous problems into well-scoped and clearly defined tasks, ensuring alignment with product and technical goals.
- Write scalable, high-performance, and maintainable code, ensuring testability, coverage, continuous integration, and backward compatibility.
- Own feature delivery from discovery through deployment and monitoring, proactively addressing blockers and risks with minimal supervision.
- Mentor and support other engineers through knowledge sharing, constructive feedback, and code reviews.
- Collaborate across teams to remove dependencies, foster alignment, and ensure the team’s work fits into the broader technical direction.
Requirements
- Advanced programming experience and superior knowledge of programming languages and technologies: Node.js, TypeScript, PostgreSQL, Kubernetes, Docker, Google Cloud, React, React Native, Apache Kafka.
- Bachelor's degree in Computer Science (or related field).
- 6+ years of relevant work experience.
- Experience with agile processes, continuous delivery, and continuous integration.
- Ability to multitask, organize, and prioritize work.
- Exceptional integrity and work ethic.
- Nice to have: Experience working with LLMs, AI-driven architectures, and autonomous agents, including vector databases, embedding models, and MLOps practices.
Company Benefits
- Competitive compensation package based on experience
- 30 days holiday paid leave
- One week exchange policy to another Payhawk office (London, Berlin, Barcelona, Paris, Amsterdam and Vilnius)
- Flexible working hours and opportunity to work from home
- Regular team-wide events
- Additional medical care
- MultiSport card fully funded by us
- Company office massages
- Personal assistant service
- Opportunity to use the Payhawk product (that is, essentially, built by you)
Ready to apply?
Apply to Payhawk
Company Mission
Payhawk is a leading global spend management solution for scaling businesses. Headquartered in London and combining company cards, reimbursable expenses and accounts payable into a single product; its future-facing technology enables finance teams to control and automate company spending at scale.
The Payhawk customer base includes fast-growing and mature multinational companies in 32 countries including LuxAir and Wagestream. With offices in New York, London, Berlin, Munich , Barcelona, Paris, Amsterdam, Vilnius and Sofia; Payhawk is backed by renowned investors such as Lightspeed Venture Partners, Greenoaks, QED Investors, Bek Ventures and Eleven Ventures.
Our values include supporting flat hierarchies, taking ownership and responsibility, seeking and providing feedback, managing constructive critique, and speaking our minds. We understand that the best ideas don’t all come from the same place, so we encourage diversity and inclusion in all areas of our work.
The future of fintech is about more than money, and we believe in work-life balance, continual learning, and empowered teams. We’re also on a journey to measure and improve our environmental and social impact. From virtual cards to digital subscriptions, our software and automation help take paper out of the equation for our customers, too.
We’re changing the world of payments, and we’re looking for an exceptional team to help us.
About the Role
Automation, Integrations, Agents, Platform, Retrieval & AI UX
As part of our Efficiency team, you will upskill and uplift every role with AI‑powered tools - automating workflows and building secure, reliable assistants, agents, and role “digital twins.” Just like broader Payhawk we obsess over customer success, our customers are every Hawk and every Payhawk customer, and we measure impact by adoption, task success, and time saved. We design human‑centered AI and manage risk responsibly.
You’re a product‑minded software engineer who designs and ships end‑to‑end AI solutions: chat UIs, APIs, orchestration, data pipelines, retrieval, evals, and guardrails. You love jumping between frontend, backend, prompts, schemas, observability, and Kubernetes to deliver measurable time savings for Hawks.
Rigorous studies show AI assistance can raise knowledge‑worker productivity, especially for less‑experienced workers - so we measure against hours saved and task success from day one.
How we work
- We behave like a Platform + Enabling capability that accelerates stream‑aligned teams.
- We measure delivery with DORA’s Four Keys and product value with adoption & time saved. See why: DORA 2024 report.
- We build tools‑using agents via MCP and rely on RAG / Hybrid RAG for grounded answers.
Responsibilities
- Build UI + backend for chat/agent experiences; own discovery → shipping → monitoring.
- Orchestrate tool‑using agents via MCP; design safe tool APIs and connectors.
- Implement and iterate RAG / Hybrid RAG (dense + BM25) with quality evals (faithfulness, groundedness, latency); manage prompt & retrieval versioning.
- Data work: build ingestion/ETL, chunking/metadata, access‑aware retrieval; ensure lineage and governance.
- Reliability: tracing, cost & latency SLOs, autoscaling; CI/CD with quality gates (offline/online LLM evals).
- UX & prompts: craft conversational flows using People + AI Guidebook patterns; instrument analytics and A/Bs for task success and satisfaction.
- Security & risk: apply applicable security standards such as (but not limited to) NIST AI RMF guardrails; work with Security/Legal on data handling and auditability.
Requirements
- 4+ years experience; expert in Node.js/TypeScript/React/PostgreSQL; CI/CD & cloud (GCP/K8s).
- Shipped LLM apps (agents, function/tool use, retrieval); strong API design & data modeling.
- Comfortable with Python for data/ETL; vector stores; analytics instrumentation.
- Bachelor's degree in Computer Science (or related field).
- Experience with agile processes, continuous delivery, and continuous integration.
- Ability to multitask, organize, and prioritize work.
- Exceptional integrity and work ethic.
Nice to have
- Frontend experience, Kafka, experimentation platforms, prior experience with MCP servers/clients.
Company Benefits
- Competitive compensation package based on experience.
- 30 days holiday paid leave.
- One week exchange policy to another Payhawk office (London, Berlin, Barcelona, Paris, Amsterdam and Vilnius).
- Flexible working hours and opportunity to work from home.
- Regular team-wide events.
- Additional medical care.
- MultiSport card fully funded by us.
- Company office massages.
- Personal assistant service.
- Opportunity to use the Payhawk product (that is, essentially, built by you).
Ready to apply?
Apply to Payhawk
Company Mission
Payhawk is a leading global spend management solution for scaling businesses. Headquartered in London and combining company cards, reimbursable expenses and accounts payable into a single product; its future-facing technology enables finance teams to control and automate company spending at scale.
The Payhawk customer base includes fast-growing and mature multinational companies in 32 countries including LuxAir and Wagestream. With offices in New York, London, Berlin, Munich , Barcelona, Paris, Amsterdam, Vilnius and Sofia; Payhawk is backed by renowned investors such as Lightspeed Venture Partners, Greenoaks, QED Investors, Bek Ventures and Eleven Ventures.
Our values include supporting flat hierarchies, taking ownership and responsibility, seeking and providing feedback, managing constructive critique, and speaking our minds. We understand that the best ideas don’t all come from the same place, so we encourage diversity and inclusion in all areas of our work.
The future of fintech is about more than money, and we believe in work-life balance, continual learning, and empowered teams. We’re also on a journey to measure and improve our environmental and social impact. From virtual cards to digital subscriptions, our software and automation help take paper out of the equation for our customers, too.
We’re changing the world of payments, and we’re looking for an exceptional team to help us.
About the Role
We are building something extraordinary at Payhawk, and we’re looking for a passionate Applied AI Engineer to join us as one of the pioneers working on our innovative agents. In this role, you’ll have the unique opportunity to be part of the foundational team shaping the future of how we leverage AI to transform financial operations. You'll tackle complex challenges, design and deploy intelligent systems, and collaborate with a team of talented professionals to deliver impactful solutions. If you're excited about pushing the boundaries of machine learning and making a real difference, we’d love to hear from you.
Being part of the Payhawk team means that you’ll be developing a world-class product in the fast-growing fintech industry. We deliver an exceptional solution, and to continue doing so, we seek out the top 1% engineering talent.
Responsibilities
- Design and implement autonomous AI agents that leverage LLMs for reasoning, planning, and decision-making.
- Measure and track performance of autonomous AI agents in terms of speed and accuracy across various complex tasks.
- Optimize and deploy LLM-based agents in production environments, ensuring efficiency, security, maintainability and reliability.
- Build robust evaluation pipelines to help us iterate over new versions of our end-to-end solution.
- Implement multi-agent systems where LLMs collaborate to solve tasks.
- Develop memory and context management strategies for long-term agent interactions.
- Collaborate with cross-functional teams to integrate machine learning solutions into scalable products.
- Stay abreast of the latest advancements in large language models (e.g., GPT, LLama, Gemma) and Transformer-based architectures.
- Explore the evolving field of autonomous agents and identify opportunities for innovative applications.
- Leverage cloud platforms, particularly GCP, to deploy and maintain ML solutions efficiently.
Requirements
- Background in Computer Science, Mathematics, or a related discipline.
- Hands-on experience in the development, deployment, and fine-tuning of GenAI solutions in production environments.
- Desirable: experience with autonomous agents and agentic workflows, covering the entire lifecycle from design and development to deployment in real-world scenarios.
- Strong understanding of text representation techniques, feature engineering, model development, and prompt engineering.
- Familiarity with emerging trends in autonomous agents is a plus.
- Strong problem-solving abilities and a capacity to work independently.
- Ability to multitask, organize, and prioritize work.
- Exceptional integrity and work ethic.
Company Benefits
- Competitive compensation package based on experience
- 30 days holiday paid leave
- One week exchange policy to another Payhawk office (London, Berlin, Barcelona, Paris, Amsterdam and Vilnius)
- Flexible working hours and opportunity to work from home
- Regular team-wide events
- Additional medical care
- MultiSport card fully funded by us
- Company office massages
- Personal assistant service
- Opportunity to use the Payhawk product (that is, essentially, built by you)
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Yotpo is leading the next era of trust and loyalty in eCommerce. With AI-powered Reviews and Loyalty solutions, we help brands turn browsers into customers and customers into advocates. Through deep integrations across the eCommerce ecosystem and the trust of over 30,000 global brands, Yotpo delivers seamless omnichannel experiences that increase conversion, strengthen customer relationships, and drive profitable, long-term growth.
Yotpo helps brands turn first-time shoppers into lifelong customers through reviews and loyalty.
As we modernize the UGC Product House into a scalable, self-serve platform, our infrastructure becomes a critical priority. If you’re passionate about technical leadership, engineering excellence, people growth, and driving modernization across multiple teams, this could be your dream job.
Your Mission at Yotpo:
We are seeking an R&D Team Lead to drive technical modernization, improve developer experience, and elevate engineering quality across the UGC Product House. In this role, you will lead an engineering team, shape the modernization roadmap, and work closely with Experience Teams to enable fast, scalable, and reliable product value delivery across the UGC Product House.
This position blends people leadership, architectural direction, and hands-on technical contribution, while working in close partnership with Yotpo’s Infra teams and technical leadership to shape the future foundations of the UGC platform.
What you'll do:
- Modernization Roadmap & Planning: Define and align the modernization roadmap for the UGC Product House, ensuring clear prioritization, stakeholder communication, and strong collaboration with engineering and product partners.
- Team Leadership & Coaching: Lead the Infrastructure Modernization Team, providing mentorship, fostering technical growth, and shaping a high-performing engineering culture.
- Embedded Execution Model: Ensure the team successfully embeds within Experience Teams to execute modernization initiatives and architectural consistency, while promoting knowledge transfer.
- Hands-on Technical Contribution: Actively contribute to complex design, architectural work, POCs, and infrastructure modernization through consistent hands-on execution.
- Engineering Standards & Best Practices: Define, promote, and enforce engineering standards across the Product House, raising quality in areas such as scalability, reliability, performance, and maintainability.
- Reliability & Stability Enablement: Partner with Experience Teams to support and nurture long-term resilience and stability initiatives and culture.
- Developer Experience & Velocity: Drive improvements in tooling, CI/CD, observability, testing, and AI-assisted workflows to increase engineering velocity and reduce operational friction.
- Strategic Alignment: Ensure modernization efforts and infrastructure investments support the UGC strategic focus.
- Stakeholder Collaboration: Work closely with engineering, product, design, data, and cross-PH stakeholders to gather input, align priorities, and maintain transparency across teams.
- Cross-R&D Initiatives & Leadership Forums: Participate in R&D-wide leadership forums, contributing to cross-organizational decisions, knowledge sharing, and long-term engineering direction.
What You Bring:
- Experience & Leadership: 8+ years as a senior backend, platform, or infrastructure engineer, with at least 2 years leading engineers or driving cross-team technical initiatives.
- Modernization Expertise: Proven track record of leading modernization, replatforming, or large-scale technical transformation efforts in high-scale environments.
- Architectural Strength: Deep understanding of distributed systems, service architectures, and scalable backend design, with the ability to define and communicate architectural direction.
- Reliability & Stability Focus: Experience improving performance, reliability, operational hygiene, and reducing production noise across complex systems.
- Developer Experience Mindset: Passion for improving developer workflows, internal tooling, CI/CD pipelines, observability, and engineering velocity.
- Coaching & Mentorship: Strong ability to mentor senior engineers, elevate technical thinking, and create an environment that encourages growth and ownership.
- Collaboration & Influence: Excellent communication and stakeholder management skills, with the ability to influence without authority and align multiple teams.
- Strategic Problem-Solving: A long-term thinker able to balance modernization priorities with product needs, making pragmatic, data-informed decisions.
- Quality-Driven Approach: Deep commitment to maintainability, security, performance, and overall engineering excellence.
Technical Skills:
- Backend & Architecture: Expertise in Java/Kotlin, Node.js, Ruby on Rails, or similar technologies, with strong system design and architecture capabilities.
- Cloud & Infrastructure: Hands-on experience with AWS, Kubernetes, Terraform, CI/CD systems, and cloud-native operational practices.
- Data & Messaging: Familiarity with MySQL/PostgreSQL, Redis, Kafka, and event-driven or streaming architectures.
- Observability & Reliability: Strong understanding of logging, metrics, tracing, alerting, and resilience patterns.
- Developer Tooling: Experience with internal platforms, automation, quality gates, static analysis, and workflow/tooling improvements.
- AI-Assisted Development: Familiarity with GitHub Copilot, LLM APIs, and AI-driven developer acceleration workflows.
What we offer:
- Track to success – work in a dynamic organization with ambient and laid-back office atmosphere
- Individualized career development, rewards, and recognition.
- Work-life balance – 25 days paid vacation with add-ons for loyalty, regular team buildings and celebrations in and outside the country
- Additional health insurance package
- Internal mobility program and refer-a-friend program
- Managing a fixed monthly budget for social benefits thru Re:Benefit – a flexible online benefits solution
- Food vouchers
- E-learning portals and knowledge sharing sessions.
- Company backed Hackathons, Tech conferences, workshops events, etc
- Stocked kitchen and bar.
- Equity in options.
- Flexible hybrid capacity
If you don’t meet 100% of the qualifications outlined above, that’s okay! We believe in hiring people, not just skills. If you have a passion to learn and are excited about eCommerce and technology, then we want to hear from you.
Help us be the best version of Yotpo by building something great together!
#LI-Hybrid
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Senior Software Engineer - Content & Metadata
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Company & Department Context
The Financial Times is one of the world’s leading business news organisations, recognised internationally for its authority, integrity and accuracy. The FT has a record paying readership of one million, three-quarters of which are digital subscriptions. It is part of Nikkei Inc., which provides a broad range of information, news and services for the global business community.
We have offices in more than 35 cities, including London, New York, Hong Kong, Beijing, Manila, Sofia, San Francisco and Tokyo. Join us and find an inclusive and fast-paced environment with unique opportunities to support every step of your career.
Learn more about the FT, including announcements and career opportunities, at aboutus.ft.com.
Position Overview
FT Core is seeking talented and motivated Senior Backend Engineer to join our Content & Metadata team. This team is responsible for the Content & Metadata platform which enables the publishing, delivery, and enrichment of the digital content produced for the FT products. The team is starting its journey to rethink the way how content is published and consumed, and as a member of this team, you will be laying the foundation for the next generation of APIs and capabilities used across the FT’s products and services.
We are looking for someone who is passionate about learning new technologies, thrives in a fast-paced environment, and is eager to solve complex problems. While we value experience in our technology stack (Go, Kubernetes, AWS, MongoDB, PostgreSQL, Neo4j, Kafka, and Elasticsearch), we are open to candidates with diverse backgrounds who are quick learners and have a strong foundation in software development.
Responsibilities:
- Design, develop, and maintain efficient, reusable, and reliable code for our microservices architecture.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Work with various databases to design and optimise data models and queries.
- Implement, optimise, and maintain cloud infrastructure.
- Identify bottlenecks and bugs, and devise solutions to these problems.
- Maintain code quality, organisation, and automatization.
Requirements:
- Proficiency in at least one programming language (experience in Go is a plus).
- Basic understanding of microservices architecture and containerization technologies.
- Familiarity with cloud infrastructure and services.
- Experience with databases (relational, document, or graph).
- Understanding of fundamental design principles behind a scalable application.
- Ability to write clean, readable, and maintainable code.
- Strong problem-solving, debugging, and troubleshooting skills.
- Effective communication and collaboration abilities.
Preferred Qualifications:
- Experience with Go, Kubernetes, and AWS.
- Familiarity with MongoDB, PostgreSQL, Neo4j, Kafka, and Elasticsearch.
- Knowledge of Agile/Scrum development process.
- Understanding of CI/CD best practices.
- Semantic Search
- AI (LLM)
What’s in it for you?
- Annual bonus scheme
- 25 days paid leave
- 24/7 Employee Assistance Program
- Life Insurance
- Enhanced Parental Leave policy
- Food Allowance
- Multisport Card
- Comprehensive in-house training, and external training programs (subject to approval)
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.
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.
Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com.
Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT.
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Apply to Financial Times