About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

We are looking for a Technical Project Manager (TPM) to lead medium to high complexity deployments of our Agentic AI / conversational AI platform for enterprise customers. In this role, you’ll own the end-to-end delivery lifecycle—from scoping and planning through go-live and hypercare—working in a pod model alongside a Forward Deployed Engineer (FDE) and an Agent Architect (AA). You will be the primary owner of timeline, scope, risk, governance, and stakeholder communication, ensuring that customers successfully transition to an Agentic OS layer for their enterprise communications.

Areas of ownership:

Project Ownership & Delivery

• Own end-to-end delivery for assigned Agentic AI customer projects (scope, schedule, budget, risk, quality).
• Run the pod (TPM + FDE + Agent Architect) as a single accountable delivery unit.
• Select and apply appropriate delivery methodology (Waterfall, Agile, or Hybrid) based on customer context and risk profile.
• Drive project planning: work breakdown, dependencies, critical path, and resource allocations across internal and partner teams.
• Maintain up-to-date project plan, RAID log (Risks, Assumptions, Issues, Dependencies) and change log.

Customer & Stakeholder Management

• Serve as primary delivery contact for customer project sponsors, IT, and business stakeholders.
• Facilitate recurring governance: status calls, steering committees, UAT readouts, and go-live reviews.
• Translate technical complexity into clear business impacts for executive stakeholders.
• Manage scope and change requests, ensuring commercial and delivery impacts are understood and agreed. 

Cross-Functional & Pod Coordination

• Coordinate with Forward Deployed Engineers on integration readiness, environment setup, performance, and production stability.
• Coordinate with Agent Architects on discovery, agent design, prompt/context strategy, and conversational tuning.
• Collaborate with Sales, Solution Engineering, Product, and Support to ensure a seamless customer journey from sales handoff through BAU operations.
• Where partners are involved (SI/GSI/BPO), manage co-delivery responsibilities, expectations, and escalation paths.

Methodology & Process Discipline

• Plan and facilitate sprints, retros, and sprint reviews for Agile/hybrid projects; lead stage-gate reviews for Waterfall projects.
• Enforce documentation standards (Charter, Design Docs, Runbooks, Handover Docs).
• Ensure risk and compliance requirements (security reviews, data governance, regulatory constraints) are captured and incorporated into the plan.

Metrics & Reporting

• Define and track deployment KPIs, such as:
• Time to Blueprint, Time to First Agent in UAT, Time to Go-Live
• Milestone On-Time Rate
• Defect and incident trends during QA/UAT and Hypercare
• Report delivery status, risk posture, and mitigation plans to internal and external stakeholders.
• Contribute data to capacity and utilization models to inform planning and staffing.

Who you are:

• 5–8+ years of experience in technical project management, program management, or delivery management for SaaS or enterprise software.
• Hands-on experience delivering solutions involving at least one of:
• Contact Center / CCaaS, UCaaS, conversational AI, IVA/IVR, or related CX platforms.
• Demonstrated ability to work across technical and business stakeholders (IT, Security, Operations, Business Owners).
• Solid understanding of software delivery methodologies (Agile/Scrum, Hybrid, and Waterfall) and when to apply each.
• Strong skills in project planning tools (e.g., Jira, Asana, Monday, MS Project, Smartsheet) and collaboration tools (e.g., Confluence, Notion, Miro).
• Excellent communication, facilitation, and conflict resolution skills.
• Proven track record managing multiple concurrent projects with global, distributed teams.
• Fluency in English & German is required

NICE TO HAVE:

• Experience delivering AI/ML, NLP, LLM-based, or Agentic AI solutions.
• Background in professional services or consulting working with enterprise clients.
• Familiarity with APIs, webhooks, event-driven architectures, cloud infra (AWS/Azure/GCP).
• Certifications: PMP, PRINCE2, CSM/CSPO, SAFe, or equivalent.
• Experience with partner co-delivery (SI, GSI, BPO, or ISV ecosystems).

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like IKEA and Booking.com already deploying Parloa at scale.

About the role:

Parloa is building the AI platform that enterprises trust with their most important conversations. That trust starts with security — and we need someone to own it entirely.

As Director of Security, you won't just manage a team. You'll shape how a fast-scaling AI company thinks about security from the ground up: building the strategy, the culture, and the systems that protect our platform, our customers, and the data they entrust to us. You'll lead our SecOps team within Tech Platform, partner across IS&T and Internal IT, and be the person our customers look to when they need confidence that Parloa takes security as seriously as they do.

This is a builder role. If you want to define what security looks like at an AI-native company — not inherit someone else's playbook — this is it.

Areas of ownership:

• Define and execute the product and platform security strategy — building the programs, tooling, and practices that scale with a fast-growing AI platform.
• Lead and grow the security team — hiring exceptional talent, developing senior leaders, and fostering a culture where security is every engineer's responsibility.
• Own application security across the SDLC — embedding secure coding practices, SAST/DAST/SCA tooling, threat modeling, and architectural security reviews into engineering workflows, enabling velocity without compromising safety.
• Design and implement security architectures for cloud-native applications, Kubernetes workloads, and CI/CD pipelines.
• Build and run the detection and response program — developing threat detection capabilities, tuning alerting and telemetry, and leading incident investigations, containment, and postmortems with technical rigor.
• Drive cloud security posture across our AWS/GCP infrastructure, covering identity and access, network segmentation, secrets management, and infrastructure-as-code security.
• Be Parloa's product security voice in customer engagements — fielding security questionnaires, supporting enterprise due diligence, and translating technical posture into customer confidence.
• Advance AI-specific security practices — securing LLM pipelines, model interactions, prompt injection surfaces, and data handling across the platform.
• Collaborate with IS&T on shared boundaries — coordinating on incident escalation, identity systems, and compliance requirements where product and corporate security intersect, without duplicating ownership.
• Establish security metrics that matter — proving that product security posture is measurably improving, not just maintained.

Who you are:

• 12+ years in security, with at least 5 years leading security teams, ideally in product or application security at a SaaS or platform company.
• Deep hands-on experience securing cloud-native, containerized environments (AWS/GCP, Kubernetes) — you can still roll up your sleeves when it matters.
• Strong application security background — you understand secure architecture, common vulnerability classes, and how to shift security left without slowing engineering down.
• Proven detection & response expertise — you've built or significantly improved SOC/detection capabilities and led incident response in production environments.
• Effective communicator across audiences — you can translate product security risk into business terms for executives and customers, and dive into technical detail with engineers.
• Familiarity with compliance frameworks (SOC 2, ISO 27001) as they relate to product security controls — you've contributed to audits and customer security reviews, even if GRC ownership sits elsewhere.
• Genuine curiosity about AI security — experience securing LLM-based systems is a strong plus, but a sharp instinct for emerging risk is what counts.

Our recruiting process:

Recruiter video call → Technical Peer Interview → Expert interview(s) → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

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

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

Team

The AI Enablement team supports the adoption of AI capabilities across Raisin’s products and internal systems.

The team focuses on establishing a consistent and reliable approach to using AI in production by providing shared foundations, guidance, and reusable solutions. This includes working with engineering teams to integrate AI into existing systems, ensuring solutions are scalable, maintainable, and aligned with security and regulatory requirements.

The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value.

Your Responsibilities

As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance.

Enable teams to adopt AI effectively

• Work with product and engineering teams to identify and refine AI use cases
  
  
• Support teams in integrating AI capabilities into their systems and workflows by providing clear guidance on patterns, trade-offs, and practical implementation approaches
  
  
• Promote consistent and reusable solutions to reduce fragmentation across teams

Contribute to shared capabilities where needed

• Develop or extend shared components, integrations, or services when required to unblock teams
  
  
• Define and implement patterns for integrating LLM capabilities into the platform
  
  
• Contribute to shared components or lightweight services that simplify access to AI capabilities across teams
  
  
• Manage AI costs and budget usage when providing shared model access and services to other teams.
  
  
• Support teams in developing retrieval-based approaches that make internal knowledge accessible to AI-driven use cases

Guide technical decisions

• Evaluate tools, platforms, and approaches with consideration for scalability, security, and maintainability
  
  
• Help teams choose appropriate solutions based on context rather than applying AI by default
  
  
• Contribute to establishing a pragmatic and consistent approach to AI usage

Ensure robustness and responsible usage

• Optimize AI system efficiency by making principled model selections based on cost-performance trade-offs, inference latency, and token usage optimization
  
  
• Support the implementation of safeguards such as access controls, validation, and monitoring
  
  
• Collaborate with Security, Legal, and other stakeholders on requirements related to AI usage
  
  
• Contribute to practices that ensure solutions are reliable and aligned with internal standards

Your Profile

Background

• Strong experience as a Software Engineer (5+ years), with focus on backend or platform development
  
  
• Strong generalist mindset, comfortable working across technical domains
  
  
• Experience working on production systems and collaborating across teams
  
  
• Comfortable operating in environments with evolving scope and priorities

Technical Skills

• Proficiency in at least one programming language (Python preferred; JVM languages also relevant)
  
  
• Experience with cloud environments (AWS preferred)
  
  
• Solid understanding of APIs, system integration, and distributed systems

AI Experience

• Practical experience working with AI tools or platforms (e.g. LLM APIs or similar technologies)
  
  
• Familiarity with concepts such as prompt design, context engineering, retrieval-based approaches, or AI-driven workflows
  
  
• Ability to assess where AI adds value and where it does not

Join our mission, join our team – and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

• Employee Development Budget of €2,000 and four full training days per year.
• Flexible working hours, home office and 30 vacation days.
• A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
• Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month. 
• Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
• Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
• Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
• You are moving from another country or city to join us? We may support your relocation.

Why Scout24? 
Scout24 is home of ImmoScout24, Germany’s #1 for real estate. With ImmoScout24 we have been revolutionizing the real estate market in Germany and Austria for more than 25 years. Our goal is to build a digital ecosystem that brings homeowners, seekers, and agents together. Finding the right home and property is one of the most important decisions in life. So is your career! #WorkingatScout24 means being part of a diverse and inclusive team of around 1100 colleagues and 58 nationalities. We embrace difference and celebrate individuality. By encouraging open mindedness and authenticity we enable a true learning culture and prepare the ground for personal development.  Mistakes are a chance to grow and to innovate. Together we act proactively, strive for improvement, and take responsibility. We talk about success and challenge while treating each other with respect because we are #oneteam. 

If this sounds interesting to you, we would love to see you joining us!  Even if you may not tick all the boxes of the job requirements, we are happy to hear about the value you can add to the team.  Grow with us!. Welcome home!  

Aside from our people and company culture we are offering awesome benefits that make Scout24 a great place to work!  

• Compensation: A competitive salary package and a bonus on top.  
• Flexibility: We offer a hybrid work model with three days of on-site work per week in the office, and you can organize the remaining days as you wish. We offer you 30 days of vacation per year.
• Work from abroad: We offer you the possibility to work from abroad for 10 days per year, subject to the business requirements of the company and team.
• Relocation: Our relocation agency supports you with your visa process and an attractive relocation package.  
• Use our products: As an employee you can take advantage of our plus membership for tenants on ImmoScout24 to find a new place to live.  
• Development: Dedicated learning time per month, online courses on our ScoutAcademy, regular book challenges, structured feedback, “Lunch & Learn”-Events and individual career paths to push your career to the next level.    
• Have kids? We'll support you with a professional family service, which helps you to find a childcare center or offers emergency childcare.    
• Furry feel good manager: Bring your dog to work (upon approval, as we prioritise the well-being of our employees and ensure that our dog policy is considerate of allergic individuals and prevents overcrowding on each office floor). 
• Mobility: We subsidize public transport or Job Bikes. 
• Commitment to sustainability and Diversity, Equity & Inclusion (DEI): We have clear environmental and climate protection goals and are involved in social activities and charitable organizations throughout the year. We live the diversity. Our theme weeks on diversity, mental well-being, and other social issues give us time and space to develop ourselves on DEI and sustainability.
• Pension scheme: We offer a company pension scheme and support your own contribution with an attractive subsidy.
• Most innovative office: Our office is barrier-free and in the heart of Berlin right at the central station. It was awarded for the most innovative office concept. We have an own gym with regular courses, napping room, rooftop terrace, organic coffee, cafeteria, 100% green electricity and a massage therapist that comes in once a week.
• Health: Life Situation Coaching, regular health check ups
• We are a tech company: We work with the latest technical tools and hardware.  

Build and operate scalable ML and LLM-based systems in production, with a focus on self-hosted models, evaluation frameworks, and platform reliability. You will help shape Scout24’s AI platform by enabling teams to efficiently develop, deploy, and scale both traditional ML and generative AI solutions for multi-modal use cases.

Working at the intersection of software engineering, ML platform engineering, and product, you ensure ML/LLM applications are robust, observable, and cost-efficient. You establish best practices for LLMOps, including gateway services, MCP integrations, evaluation, and lifecycle management, while leveraging AI-native workflows to drive faster development and higher engineering productivity.

How your role will look like:

• Design and maintain scalable ML/LLM infrastructure and pipelines  
• Productionize traditional ML and generative AI solutions with cross-functional product teams  
• Own the ML/LLMOps lifecycle: prompting, deployment, monitoring, evaluation and optimization  
• Build and evolve an LLM Gateway service to standardize access, routing, and governance  
• Develop evaluation frameworks to measure quality, performance, and reliability of LLM outputs  
• Design and implement MCP-compatible services to enable standardized context exchange between LLMs, tools, and data sources  
• Integrate MCP into internal platforms to support tool use, retrieval, and agent-based workflows across teams 
• Work with AWS and integrate self-hosted open-source AI models for scalable, secure applications  
• Ensure observability, cost efficiency, and system performance 
• Contribute to project management, stakeholder communication and cross-team collaboration 

What you need to succeed:

• Strong experience in MLOps (CI/CD, Docker, Kubernetes) and operating production-grade systems
• Proficiency in Python and solid software engineering and scalable system design skills
• Hands-on experience with LLMs and generative AI technologies (e.g. GPT, Gemini or Anthropic-like models) 
• Expertise in prompt engineering, agent orchestration, context management, and output validation
• Experience with LLM evaluation frameworks and deploying self-hosted LLMs
• Familiarity with cloud platforms (e.g. AWS, GCP) as well as DevOps, testing, and observability practices
• Strong communication skills and ability to collaborate with cross-functional teams and stakeholders

We aim to further enhance the diversity of our company and support the professional development of people with disabilities. We have a disability representative who will assist you throughout the application process. If you require this support, please let us know in advance.

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

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

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

#LI-DNI

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

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.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction and retrieval, and subsequent reasoning.
• Creating datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving AI agents, which will involve prompt engineering, model selection, and inference optimization.
• Contributing to our MLOps practices, including orchestration, observability, and experiment tracking.

We expect you to have:

• At least four years of experience building ML/AI systems in production environments, with hands-on LLM experience.
• 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 LangGraph, Pydantic AI, or an equivalent.
• Retrieval-augmented generation (RAG) patterns and vector databases.
• 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 also have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• 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.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• Opportunities to publish research at top venues in collaboration with JetBrains Research.

#LI-DNI

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.

LLM Platform Engineer/Lead (m/f/d)

Berlin, Bangalore, Remote

Hello 👋 I am Servesh, Co- founder and CTO at Kayzen, and I am now looking for a LLM Platform Engineer/Lead who will be part of our Engineering team. 🙌 But wait, you have not heard of Kayzen before? 😃

Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.

The Team

The Platform Engineering team owns Real-time bidding (RTB) platform, a Real-time budget system, Real-time event processing, Stream data processing engine and multiple other complex large-scale distributed components and data pipelines. We work closely with data scientists, data analysts, product and business teams. We are responsible for some of the most technically challenging work, for example:

• Handling ~2 Million Req/sec in sub-millisecond latency
• Handing & managing ~Petabytes of data
• Managing distributed systems deployed across multiple data centers
• Optimizing JVM and Linux kernel for optimal performance
• Managing our own data center spread across the globe consisting of thousand of powerful servers
• Working on some of the most challenging problems of Ad-Tech

Sounds interesting. Isn't it?

About the Role

We are looking for an  LLM Platform Engineer  /Lead who can  evangelise AI across the company  and build the  foundational tooling, frameworks, and workflows  that allow teams to ship AI-powered features quickly and safely. This role is ideal for an engineer who understands modern AI capabilities and focuses on  developer velocity, reuse, and production readiness  rather than training complex models from scratch.

Responsibilities

• Design and build  internal AI frameworks, SDKs, and shared libraries 
• Enable teams to integrate AI features with minimal friction
• Set up  standardized patterns  for using LLMs, embeddings, agents, and workflows
• Build reusable components for  prompt management, evaluation, observability, and safety 
• Define best practices for  AI usage, cost control, and reliability 
• Evangelise AI internally through documentation, examples, and hands-on guidance
• Rapidly prototype AI-powered features and turn them into reusable building blocks
• Own AI tooling from experimentation to production

Requirements

AI Tooling & Framework Experience (Core Focus) 

• Hands-on experience with  LLM APIs  (OpenAI, Anthropic, etc.)
• Experience with  RAG pipelines, embeddings, vector databases 
• Familiarity with  prompt engineering, prompt versioning, and evaluation 
• Experience with  AI orchestration frameworks 
• Understanding of  AI observability, cost monitoring, and failure modes
• You’ve shipped at least one LLM-powered feature to production and iterated based on telemetry or user feedback.
• Comfortable with embeddings, fine-tuning, vector search, tokenization, and evaluation methodologies.
• Familiar with data lakes/warehouses, feature stores, and streaming/batch ETL; cloud (AWS/GCP/Azure).

Strong Engineering & Platform Skills 

• Excellent  Python  skills (required)
• Experience building  frameworks, platforms, or developer tooling 
• Strong understanding of  APIs, services, and system design 
• Writes clean, maintainable, production-grade code

Startup Mindset

• Bias for shipping and iteration
• Can translate AI complexity into simple abstractions
• Comfortable with ambiguity and rapid change
• Thinks in terms of  leverage and reuse , not one-off solutions

Less About

• Heavy model training or research
• Designing custom ML algorithms
• Academic optimization work.

Nice to have

• Experience with  agent-based systems  and tool calling
• Experience setting up  guardrails, moderation, and safety checks 
• Familiarity with  Docker, cloud infra, and CI/CD 
• Prior work in  platform teams or enablement roles

What do we offer?

• Reporting directly to Co-founder & CTO
• Direct access to top management and an extremely “visible” role
• Exceptional career growth and learning opportunity
• A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
• A fun, driven, and multinational team located across Germany, India, UK, Argentina, Ukraine, Turkey, Spain  and many more countries
• A flexible work-from-home arrangement
• A 500-dollar home-office setup budget
• A 1000-dollar annual learning and development budget

About the team:

Our mission is to  build a modern ecosystem used for all IONOS customer support needs. The tools developed by us are used in over 20 locations, by more than 2.000 users, supporting 8 million customer contracts in 10 markets.

The development team has full responsibility for the development lifecycle. This means we plan, develop, test and deploy our software without any other internal or external dependencies.

Our portfolio revolves around an internally built CRM which is now being enhanced with AI capabilities. 

About the product you will be building:

We are building a next-generation AI platform designed to redefine how our company interacts with customers. This isn't just a chatbot; it's a high-performance, multimodal AI ecosystem powered by state-of-the-art Speech-to-Speech (S2S) models, advanced Large Language Models (LLMs), and intelligent orchestration frameworks. Our platform will understand, reason, and respond across text and voice — while seamlessly executing real-time actions to resolve customer needs.

We are aiming for a hybrid architecture of Open Source LLMs, industry-leading proprietary models, and Model Context Protocol (MCP) to enable contextual reasoning, tool invocation, and seamless orchestration across systems. The goal is not just to talk to the customer, but to act on their needs.

What makes this project unique:

The Voice Frontier: We are building low-latency, emotive speech-to-speech pipelines for a truly natural voice channel experience.

Deep System Integration: Our platform connects directly to the company's core systems via MCPs, allowing the AI to access real-time customer context and execute complex workflows.

Self-Evolving Logic: We are developing  an automated QA and evaluation module that continuously analyzes interactions across channels.By programmatically measuring quality, accuracy, latency, and resolution outcomes, we can close the feedback loop, and adapt system behavior in hours, not weeks.

Hybrid Innovation: You’ll work at the intersection of "build vs. buy," integrating the best of the open-source community with custom-built internal infrastructure.

What's in it for you:

You won't just be shipping code; you’ll be part of making this concept evolve and shift.
You’ll join a friendly, experienced team where your voice matters and your contribution shapes real-world outcomes. You’ll work in a modern environment with technologies and practices that help us ship reliable software efficiently.

Role description:

As an AI Engineer on this team, you will build the core intelligence systems behind our multimodal AI platform.You will be responsible for moving beyond simple chat interfaces to build high-performance, real-time systems that handle complex reasoning, deep context retrieval, LLM orchestration, retrieval-augmented generation (RAG) and seamless voice interactions.

Main responsibilities:

• Design Agentic Workflows: Design and implement LLM-based systems that go behind response generation - enabling structured tool usage, workflow orchestration, and secure interaction with internal services via MCP (Model Context Protocol).
• Build and Optimize RAG & CAG: Develop high-performance Retrieval-Augmented Generation and Context-Augmented Generation pipelines to ensure accurate, relevant, and low-latency responses. Continuously improve context management, ranking strategies, and grounding mechanisms to support complex, multi-step interactions.
• Voice Channel Mastery: Develop and optimize real-time Speech-to-Speech (S2S) pipelines, focusing on streaming architectures, latency reduction  (including Time to First Word - TTFW) and maintaining a natural conversational flow.
• Evaluation, Quality & Alignment: Build and maintain an automated QA module, including LLM-as-a-judge patterns, to measure accuracy, safety, latency, and resolution quality at scale. Translate evaluation insights into systematic models and prompt improvements..
• Model Strategy & Hybrid Integration: Integrate and operate both commercial foundation  models (e.g., OpenAI, Anthropic, Google) and open-source alternatives (e.g., Qwen, Kimi, DeepSeek, Moonshot, GLM), selecting and optimizing models based on performance, latency, cost, and use-case requirements.

We are looking for some of:

• Strong Python and/or Java Engineering Skills: Advanced-level Python development experience, including  asynchronous programming (e.g., FastAPI, asyncio) and building high-performance, production-grade services. Experience with streaming architectures is a strong advantage.
• LLM Application & Multi-Agent Orchestration Experience: Hands-on experience building LLM-powered systems, including multi-step workflows, stateful agents, and tool invocation. Familiarity with orchestration frameworks such as LangChain, LlamaIndex, or LangGraph, particularly in building stateful, multi-turn agents.
• Advanced Retrieval & Context Management: Deep understanding of vector databases (e.g., Weaviate, Qdrant, pgvector, Elasticsearch), semantic search, embedding strategies, and re-ranking techniques. Experience designing and optimizing RAG pipelines.
• Real-Time & Low-Latency Systems: Experience in designing systems that operate under latency constraints, including streaming APIs, event-driven architectures, and performance optimization. Understanding of trade-offs between quality, cost, and response time.
• Evaluation-Driven Development: Experience in implementing evaluation frameworks for LLM-based systems, including automated QA pipelines and LLM-as-a-judge patterns.
• Familiar with API Design: knowledge of RESTful API design, OAuth2

What we offer:

• Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
• Modern technologies, product responsibility;
• Flexible work schedule;
• Hybrid work option;
• Medical services package from one of two private providers;
• 25 vacation days per year;
• Substitute days off for public holidays that occur on the weekend;
• Meal tickets;
• Internal referral program;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.

About the Job

As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates, and SMBs to connect them with top-tier talent ready to make an impact.

We’re looking for a motivated Backend Engineer (AI Agents/Workflows) (m/f/d) to join and drive backend development processes at our Ecosystem Company.

As a Backend Engineer, you’ll build, scale, and optimize backend services that bring AI-driven

Join the A11 Ecosystem – A next-generation supply chain platform, the company is redefining how one of the world’s largest industries sources, distributes, and finances materials. Engineered to unlock the full potential of global trade, it harnesses agentic AI and workflow automation to provide seamless, high-efficiency access to premium materials at scale. Since its commercial rollout, the platform has fueled exponential growth, optimizing procurement for thousands of businesses while setting new benchmarks for speed, transparency, and efficiency. Its competitive edge lies in full digitization and AI-driven supply chain management automation, eliminating inefficiencies and creating a direct, intelligent bridge between suppliers and buyers. With a team of 80+ FTEs across Europe (Berlin HQ), China, and India, the company is rapidly scaling toward profitability, driving triple-digit million GMV, and setting new industry standards in autonomous, AI-powered supply chain orchestration.

In this role, you’ll:

• Design, develop, test, deploy, and maintain backend services that integrate AI/ML capabilities into our products
• Build clean, maintainable, and reusable code with a focus on scalability and performance
• Develop and optimize APIs that power AI-driven features
• Collaborate with frontend engineers to connect user-facing experiences with AI-enabled backend logic
• Implement and improve distributed systems and data pipelines
• Work with LLM APIs (OpenAI, etc.) to build intelligent workflows and automation
• Participate in code reviews, knowledge-sharing sessions, and architecture discussions
• Stay current with emerging AI technologies and backend best practices

Your Profile: 

• 3–5 years of experience as a backend or full-stack engineer, with exposure to AI/ML integrations
• Solid programming skills in Java (Spring Boot) and familiarity with Python for data processing or AI integration
• Experience with relational databases (PostgreSQL or BigQuery) and writing efficient queries
• Comfortable working with cloud infrastructure (AWS preferred) and CI/CD tooling
• Understanding of distributed systems, event-driven architecture, and microservices
• Interest or experience in building AI-enabled products (e.g., OpenAI API, fine-tuning models, prompt engineering)
• Strong communicator able to explain technical ideas to both technical and non-technical stakeholders
• Proactive, collaborative, and eager to contribute ideas and improvements

Please note that this position is based in Berlin.

Benefits and Perks:

• Fulfil a role with entrepreneurial freedom and help scale a high-impact business model
• Join an experienced founding team of serial and 2nd-time founders
• Attractive base and bonus compensation program
• Collaboration with top-tier investors and angels (incl. various unicorn founders) as well as leading market experts

If you’re eager to join the A11 Ecosystem and shape what’s next, we want to hear from you!

Our Commitment to Diversity and Inclusion

A11 is committed to diverse and equal opportunities hiring for all – applicants, candidates, and employees alike. We value humans – with all our glorious multifaceted backgrounds, perspectives, and experiences – and look forward to your application.

About the Job

As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates, and SMBs to connect them with top-tier talent ready to make an impact.

We’re looking for an experienced General Legal Counsel (m/f/d) to join and lead the legal, compliance, and governance functions at one of our Ecosystem Companies.

As an General Legal Counsel, you’ll act as a trusted advisor to leadership and teams across the business, managing a wide variety of commercial, employment, and compliance matters while driving scalable legal processes that enable growth.

Join the A11 Ecosystem – A next-generation supply chain platform, the company is redefining how one of the world’s largest industries sources, distributes, and finances materials. Engineered to unlock the full potential of global trade, it harnesses agentic AI and workflow automation to provide seamless, high-efficiency access to premium materials at scale. Since its commercial rollout, the platform has fueled exponential growth, optimizing procurement for thousands of businesses while setting new benchmarks for speed, transparency, and efficiency. Its competitive edge lies in full digitization and AI-driven supply chain management automation, eliminating inefficiencies and creating a direct, intelligent bridge between suppliers and buyers. With a team of 80+ FTEs across Europe (Berlin HQ), China, and India, the company is rapidly scaling toward profitability, driving triple-digit million GMV, and setting new industry standards in autonomous, AI-powered supply chain orchestration.

In this role, you’ll:

Commercial & Contracting Excellence

• Draft, negotiate, and close high-value commercial contracts across B2B sales, procurement, logistics, SaaS, and partnerships.
• Build scalable contract templates, playbooks, fallback rules, and negotiation guidelines that shorten deal cycles while protecting the company.
• Advise Sales, Procurement, Growth, and Finance on pricing structures, payment terms, supplier agreements, international expansion, and new business models.
• Manage supplier disputes, customer claims, and operational risk situations pragmatically and commercially.
• Translate legal risk into clear, actionable decisions for the business.

M&A Execution

• Lead the legal lifecycle of approximately three acquisitions per year
• Own the SPA process, coordinate local counsel across jurisdictions, and drive deals to closing
• Support due diligence, transaction structuring, and integration planning

People & Employment Law

• Support the People team on German employment law matters including hiring, contracts, terminations, warnings, restructurings, and compliance
• Draft and refine employment agreements, HR guidelines, and internal policies
• Advise leadership on complex personnel matters with clarity, empathy, and legal precision

Compliance, Governance & Risk 

• Monitor EU and German regulatory developments affecting trade, logistics, payments, data, and digital operations.
• Manage corporate governance matters for German entities and coordinate with external counsel where required.
• Design simple, scalable compliance processes aligned with our operational model.
• Promote a culture of proactive compliance and commercial discipline.

Your Profile: 

• AI-Native: You don't just "use" AI; you prompt-engineer your workflow. You are comfortable building a "no-code" legal stack.
• Volljurist/in with two Staatsexamina and eligible for registration as Syndikusrechtsanwalt.
• 3+ years PQE from a top-tier law firm or in-house team—ideally in tech, marketplaces, logistics, or fast-scaling B2B businesses.
• Business-fluent in German and English (English is our internal operating language).
• Operational Mindset: You value deal velocity over long memos. You quantify risk in dollars, not just "could/might" language.
• Thrives in an office-only, high-tempo environment with fast decisions and constant iteration.

Please note that this position is based in Berlin. 

Benefits and Perks:

• Fulfil a role with entrepreneurial freedom and help scale a high-impact business model
• Join an experienced founding team of serial and 2nd-time founders
• Attractive base and bonus compensation program
• Collaborate with top-tier investors and angels (incl. various unicorn founders) as well as leading market experts

If you’re eager to join the A11 Ecosystem and shape what’s next, we want to hear from you!

Our Commitment to Diversity and Inclusion

A11 is committed to diverse and equal opportunities hiring for all – applicants, candidates, and employees alike. We value humans – with all our glorious multifaceted backgrounds, perspectives, and experiences – and look forward to your application.

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. 

As an AI Agent Engineer, you'll be at the forefront of deploying AI agents that address real-world challenges. In this role, you will work closely with customers as well as our software and machine learning engineers, ensuring high-impact AI Agent deployments and contributing to the continuous improvement of our core AI platform. You’ll develop intelligent AI agents, integrate them seamlessly with external systems and offer hands-on technical expertise to ensure successful deployments.. This position requires strong engineering skills, adaptability, and customer engagement. If you are self-driven, analytical, and eager to leverage AI in practical applications, this role is for you.

What You'll Do :

• AI Agent Development: Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools.
• System Integration: Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration.
• Performance Optimization: Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments.
• Requirements Gathering: Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions.
• Demos & Iteration: Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives.
• Project Coordination: Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery. Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings.
• Partner Cross-Functionally: Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI.
• Technical Guidance: Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning.

What We're Looking For:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: 3+ years of experience of full time working experience in software development/ consulting, AI/ML engineering, or system integration, or as FDE
• Programming Skills: Proficiency in Python and Golang, with the ability to write clean, efficient code.
• AI/ML Knowledge: Familiarity with AI/ML concepts. Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred.
• AI Agent Frameworks: Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG). Hands-on experience of building such a system is strongly preferred.
• Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring).
• Integration Expertise: Hands-on experience with integrating systems via APIs, webhooks, and data pipelines.
• Communication: Excellent communication and project management skills.
• Analytical Approach: Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions.
• Collaborative Builder: You thrive in cross-functional environments, working hand-in-hand with PMs and engineers to turn real customer problems into scalable AI solutions.

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

This posting will be used to fill a newly-created role.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

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, annual bonus and equity
• Regular compensation reviews - we reward great work!
• Generous paid time off above statutory minimum
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Fun events for employees, friends and family!

#LI-Hybrid

Wir sind mehr als 2.000 Kolleg:innen in 22 Designstudios auf vier Kontinenten – ein hochgradig kollaboratives Team aus Expert:innen für Produkterlebnisse, digitales Marketing und immersive Technologien. Unsere Lösungen entstehen dort, wo Kreativität und Technologie zusammentreffen – mit einem klaren Fokus auf die Bedürfnisse und Erlebnisse der Nutzer:innen. Ob Augmented Reality, Digital Twins, KI-Ökosysteme, Omnichannel-Commerce oder integrierte Kampagnen: Wir schaffen Verbindungen zwischen Menschen und Marken – im B2B- ebenso wie im B2C-Bereich. 

Als Teil des globalen Technologieinnovators Infosys verfügen wir über die nötige Skalierung und Expertise, um große Ideen Wirklichkeit werden zu lassen – und sie weltweit umzusetzen. 

Wir sind eine Motion Picture & 3D Production mit Fokus auf hochwertige CGI- und Content-Produktion für starke Marken (u. a. Automotive, Fashion, Consumer Goods). Unser Sweet Spot: kreative Exploration mit GenAI – und wenn nötig kampagnenfähige, pixel-perfect Ergebnisse im Produktionsmaßstab. 

Deine Rolle 

Du bringst GenAI-Bildgenerierung und -Bildbearbeitung (v. a. ComfyUI) so in unsere CGI-/Compositing-Pipeline, dass aus Ideen schnell realistische, konsistente und markentaugliche Visuals werden. 

Das erwartet Dich 

1.) Look Development & Concept Exploration  

• Du entwickelst Bildwelten, Motive und Variationen für Kampagnen  
• Du arbeitest mit ComfyUI in bestehenden Graphen, pflegst sie und erweiterst sie für konkrete Use Cases (z. B. Environment/Background, Produktintegration, Serien-Varianten). 
• Du baust Prompt-Frameworks / Prompt-Baupläne, um Konsistenz und Qualität über Serien zu halten. 

2.) CGI Enhancement & “AI als Finish”  

• Du nutzt GenAI als Finish-Layer nach dem 3D: Enhancement, Compositing-Unterstützung, Details, Realismus, Konsistenz. 
• Du arbeitest eng mit 3D/CGI/Compositing zusammen (u. a. C4D, Maya, Unreal, Nuke, After Effects, Photoshop, Substance). 
• Du hilfst, typische Produktionsherausforderungen zu lösen (z. B. Produktgenauigkeit, Proportionen, Detailgrad). 

3.) Workflow-Qualität & Skalierung  

• Du setzt auf Batch/Automation in ComfyUI (Queues, Varianten, reproduzierbare Runs). 
• Du evaluierst Modelle/Ansätze (Qualität/Speed) und setzt sie passend zum Use Case ein 
• Du dokumentierst ComfyUI-Templates/Workflows und erstellst Best-Practice Guides, damit Teams sauber weiterarbeiten können. 
• Für kleine Automationen nutzt du gelegentlich Skripte/Helpers (Python/JS). Für größere Infrastruktur-/Engineering-Themen gibt es bei uns separate Engineering-Unterstützung. 

Das bringst Du mit 

• Hands-on Erfahrung mit GenAI im Imaging-Kontext, inklusive Bildgenerierung sowie gezielter Bearbeitung und Qualitätsverbesserung 
• Sichere Praxis mit ComfyUI, insbesondere node-basierte Workflows, saubere Graphen und Troubleshooting 
• Ausgeprägtes Verständnis von Bildgestaltung und Visual Quality, z. B. Komposition, Licht, Materialität und Stil 
• Erfahrung oder fundiertes Verständnis von CGI- und Compositing-Pipelines, inklusive Übergaben, Render-Logik und dem Weg vom Setup zum finalen Bild 
• Portfolio oder Arbeitsproben, die Realismus, Konsistenz und visuelle Qualität unter produktionsnahen Constraints belegen (über reine Prompt-Experimente hinaus) 
• Fließende Deutsch- und/oder Englischkenntnisse (mindestens B2-C1) sind Voraussetzung.

Was zusätzlich begeistert (Bonus, aber kein Muss)

• Git-Grundlagen (Versioning von Workflows/Configs) 
• Kleine Skripting-Skills (Python/JS) für Helpers 
• Erfahrung mit API-basierten Tools (Cloud) und/oder lokalen Setups (Compliance) 
• Automotive/Fashion/Consumer Goods Erfahrung (z. B. Produktinszenierung, Brand-Look, Konsistenz) 
• 3D Dataprep Know-how (CAD cleanup, UV/Material-Prep, Lighting Presets, AOVs/Depth) 

Wie wir arbeiten 

• Du arbeitest mit einem interdisziplinären Team (Creative Direction, CGI/3D, Motion/Comp, Engineering). 
• Typischer Review: 2 Feedbackschleifen (intern/Lead + Freigabe). 
• Qualität ist uns wichtig: kampagnenfähig / photoreal / pixel-perfect, aber wir unterscheiden klar zwischen Exploration und Final. 
• Primär remote innerhalb Deutschlands, mit ca. 2 Tagen/Monat vor Ort in Stuttgart. 
• Alltagssprache im Team ist überwiegend Deutsch – du musst nicht perfekt sein, aber kommunikationsfähig (Englisch geht selbstverständlich). 

Unsere lokalen Benefits 

• Flexible Arbeitszeiten  
• Arbeiten von wo es für dich passt. Zu Hause oder im Büro, ganz nach deinem Geschmack 
• Arbeit für starke Marken und Kund:innen, an die wir glauben  
• Zuschuss beim Urban Sports Club 
• Mitarbeitervorteile & Rabatte über Corporate Benefits 
• aufgeschlossene & nette Menschen in allen Teams 

Klingt nach Dir? Dann schnapp Dir Deinen Laptop und bewirb Dich – wir freuen uns, Dich auf unserer kreativen Reise dabei zu haben! Bitte sende uns: 

• CV  
• Portfolio/Showreel (sehr gern mit 2–3 Case Slides) 
• Optional sehr hilfreich: 1 Beispiel-Workflow (Screenshot/Export deines ComfyUI-Graphs + kurze Erklärung: Input → Schritte → Output → wie du Konsistenz & Produktgenauigkeit sicherst) 

Wir freuen uns besonders über Beispiele, in denen du Produkt-Treue, Proportionen und Realismus unter Constraints gelöst hast.  

Für uns zählt allein Deine Persönlichkeit und Deine beruflichen Fähigkeiten. Dein Geschlecht, Alter oder Aussehen, Deine Herkunft oder sexuelle Orientierung spielen für uns keine Rolle – wir sind offen für die Zusammenarbeit mit jeder Person. 

Beachte bitte: Dies ist eine Stellenanzeige der WongDoody GmbH mit Sitz in Deutschland. Über unsere Website oder andere Quellen kannst Du zu Stellenanzeigen gelangen, die von einer unserer WongDoody-Schwesterfirmen veröffentlicht wurden, mit denen wir weltweit gemeinsam unter der Marke "WongDoody" auftreten. Für jedes Stellenangebot ist ausschließlich das Unternehmen verantwortlich, das die jeweilige Anzeige veröffentlicht hat. Ansprechpartner:innen, erforderliche Angaben und geltende Bedingungen können jeweils abweichen. Hier kannst Du Dich darüber informieren, wie die WongDoody GmbH Deine im Bewerbungsprozess angegebenen personenbezogenen Daten verarbeitet.

Wenn Du Fragen zum Bewerbungsprozess hast, wende Dich gerne direkt an unser People & Culture-Team unter leonie.schaefer@odt.net

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

Senior Product Engineer (AI Agents)

Permanent employee, Full-time · Berlin (hybrid) 

THE IMPACT YOU WILL MAKE

From socks and pet food to cosmetics, charles is helping countless brands reach their loyal customers every day, one conversation at a time. As a Senior Product Engineer at charles, you'll help drive our product and infrastructure forward, enabling us to revolutionize conversational AI.

You'll work closely with other Engineers, Product, and Design to build scalable, high-performing systems that solve real customer problems. Your contributions will result in reliable, data-driven solutions that support millions of users and push the boundaries of AI-driven messaging commerce.

THIS IS WHAT YOU WILL BE DOING

• Identify and solve high-impact problems using product and business judgment to prioritize what matters most
• Build and iterate on AI-powered conversational features, leveraging LLMs to create meaningful customer experiences
• Extend the Charles API to integrate messaging with CRMs, CDPs, and shop systems
• Write clear, maintainable documentation and ensure reliable, well-tested code
• Monitor systems for performance and implement data-driven improvements
• Review your peers' code and contribute to the company's growth
• Break product initiatives into small technical deliveries and estimate workload

YOU'LL FIT GREAT WITH THESE SKILLS AND VALUES

• 5+ years of experience in software engineering
• Proficiency in Node.js, TypeScript (preferred) or another high-level programming language (Java, Go, Rust, Python)
• Product and business sense: You understand customer needs and focus on solving the right problems, not just building technically interesting solutions
• Experience or strong interest in working with LLMs and AI to build products (prompt engineering, AI APIs, understanding practical limitations)
• Experience deploying and managing applications on cloud platforms, preferably GCP
• A testing-first mindset with strong monitoring skills and the ability to write reliable, scalable code
• Data-driven decision-making and creativity in problem-solving
• Strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders
• Mentoring skills to help the whole team grow as we scale

Nice to have:

• Familiarity with data protection regulations such as GDPR and designing compliant data architectures
• Previous experience in B2B SaaS startups
• Previous experience in AdTech / MarTech

Meeting all requirements is not necessary to apply. We encourage candidates who meet some but not all of these qualifications to submit their application.

THINGS WE OFFER

• Working on challenging and impactful projects at the forefront of one of the most innovative industries in Europe
• Collaborating with some of the leading experts in Conversational Commerce and disrupting a fast-growing industry
• Joining forces with a unique community of Tech, Product, Sales, Success, and Marketing experts committed to building the best product in Conversational Commerce.
• High autonomy and visibility across the business with the option to own and drive new initiatives
• Celebrating our major and micro-wins as well as getting to know each other better at regular team-building events
• Sharing VSOP (virtual stock options) in the ownership and success of Charles
• Working in a vibrant office in the heart of Berlin overlooking the Wall memorial
• Earning a competitive compensation package

What else we offer?

• Urban Sports Club membership
• Mental Health support through OpenUp
• Free company lunch on Thursdays
• A friendly, open, multicultural work environment
• Dog-friendly office
• Discounts on BVG tickets

About us

It’s better to have a conversation

charles is a conversational AI and CRM that attracts, converts, services, and retains customers via AI agents and marketing automations. charles helps businesses to maximize customer engagement and revenue through conversational channels such as WhatsApp. Brands can reach customers in an interactive way, collect data to expand customer understanding and guide them to targeted offers that convert. charles’ AI Agents deliver hyperpersonalized experiences at scale while ensuring enterprise-grade security and GDPR compliance.

Founded by Kapten & Son co-founder, Artjem Weissbeck, and ex-McKinsey ecommerce lead, Andreas Tussing. charles is backed by Salesforce Ventures, Accel and HV Capital and has raised over EUR 30 million to build the global leader in conversational marketing SaaS for global consumer brands.

Charles and diversity: be yourself and no-one else

Different perspectives bring innovation and richer work environments. We’re committed to building an inclusive company where you always feel like you belong, whatever your age, gender identity, ethnicity, religion, sexual orientation, disability, status or neurodiversity. These values sit at the heart of our hiring process, so we can create a welcoming workplace where everyone feels valued and heard.