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Forward Deployed Engineer/Chief role (relocation to Germany)

Remote in Georgia, & 4 others
AI Solution Engineering
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We are building AI-native solutions for our clients — products where LLM and its harness are the core of the value.

This is a builder's role: you and your team are responsible for building agentic systems, writing the production code, and standing up the evals and observability.

You will work closely with SMEs and end-users to understand where the real value lies, and you design the feedback loops.

Responsibilities
  • Design, build and ship AI-native systems E2E — agents, workflows, RAG and the harness: custom tool calling, sandboxing, context engineering and sub-agents, caching, compaction
  • Build the evaluation pipelines and use them to prove the system is genuinely useful
  • Design for failure in the agent loop: retries, model fallbacks, cost limits and human-in-the-loop on consequential actions
  • Capture domain expertise and repeatable workflows so what works on one engagement carries to the next
  • Engage early to help shape the use case and check technical feasibility
  • Write production-grade Python: integrations, APIs, data access, deployment
  • Work directly with SMEs and end-users through interviews, UAT and observing the real workflow, and validate that the system fits how people actually work
Requirements
  • 7+ years of engineering experience, with a strong recent track record building production AI / LLM applications (not prototypes or research only)
  • Strong agent-design judgment — task-harness fit, matching the harness to the context, failures and policies of the actual task rather than calling a model in a loop
  • Capability to operate close to the client: lead discovery and feasibility conversations, work directly with SMEs and end-users, and explain technical trade-offs to both technical and non-technical audiences
  • Hands-on experience with agentic frameworks (LangChain, LangGraph, Semantic Kernel) and major LLM providers (OpenAI, Anthropic, Google Gemini)
  • Expert-level Python and solid software engineering fundamentals
  • Strong RAG and retrieval skills: vector databases, embeddings, hybrid search, re-ranking, chunking and context management
  • Proven experience evaluating generative AI quality — LLM-based evaluation, heuristics, custom eval frameworks — and using observability/tracing tools (LangSmith, Arize Phoenix, Langfuse)
  • Production deployment experience on at least one major cloud (AWS, Azure, GCP) with containerization, CI/CD
  • Sound judgment under ambiguity — scoping, sequencing and making the call on speed vs. quality vs. scope
  • English at C1 level
Nice to have
  • Experience designing experiments, A/B testing and iterating on AI products against real user behavior and business metrics
  • Background in NLP, Data Science or applied ML, with experience moving models into production
  • Familiarity with MCP, A2A and Agent Skills, and emerging agent standards
  • Experience with enterprise AI platforms (AWS Bedrock AgentCore, Databricks Genie, Microsoft Foundry)
  • Exposure to AI governance, security and compliance (guardrails, prompt-injection prevention)
We offer/Benefits
  • 30 days holiday per annum
  • Company Pension Scheme
  • Regular performance assessments
  • Discount on Fitness-First Black Membership
  • bitkom - Corporate Benefits
  • Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
  • Learning and development opportunities, including in-house training and coaching, professional certifications, and courses
  • Friendly and enjoyable working team
  • Regular corporate and social events
  • Flexible and remote working opportunities
  • Award-winning workplace: Great Place To Work® certified in 2026, Kununu (Top Company 2022–2026), NewWork Business Award 2025 for outstanding culture, innovation and employee satisfaction.
*All benefits and perks are subject to certain eligibility requirements
  • COREculture: Flat hierarchies, plenty of freedom and the guiding principle “Competence Leads” - the best idea counts for us
  • COREmember: Become part of a motivated, smart team and grow with us
  • COREdevelopment: From day 1, you will take on responsibility and continuously develop yourself through training and semi-annual feedback meetings
  • COREbenefits: Top IT, healthy snacks & drinks, mobility offers, flexible travel policy and mobile working - wherever it suits you best