Chief Forward Deployed Engineer

We are looking for a Chief Forward Deployed Engineer to build AI-native solutions where LLMs and their harnesses are central to the value delivered. This is a builder’s role: you and your team will build agentic systems, write production code, and establish evaluation and observability practices. You will work closely with SMEs and end-users to identify real value and design effective feedback loops.

Responsibilities

• Design, build, and ship end-to-end AI-native systems, including agents, workflows, RAG, and harness components such as custom tool calling, sandboxing, context engineering, sub-agents, caching, and compaction.
• Build evaluation pipelines and use them to demonstrate that systems are genuinely useful.
• Design for failure in the agent loop, including retries, model fallbacks, cost limits, and human-in-the-loop controls for consequential actions.
• Capture domain expertise and repeatable workflows so successful approaches can be reused across engagements.
• Engage early to shape use cases and assess technical feasibility.
• Write production-grade Python for integrations, APIs, data access, and deployment.
• Work directly with SMEs and end-users through interviews, UAT, and workflow observation to validate that systems fit real working practices.

Requirements

• 7+ years of engineering experience, including a strong recent track record of building production AI/LLM applications rather than prototypes or research-only solutions.
• Strong agent-design judgment, including matching task harnesses to the context, failure modes, and policies of the task.
• Ability to work closely with clients: lead discovery and feasibility discussions, collaborate with SMEs and end-users, and explain technical trade-offs to technical and non-technical audiences.
• Hands-on experience with agentic frameworks such as LangChain, LangGraph, Semantic Kernel, or similar, and major LLM providers including OpenAI, Anthropic, and Google Gemini.
• Expert-level Python and strong software engineering fundamentals.
• Strong RAG and retrieval skills, including vector databases, embeddings, hybrid search, re-ranking, chunking, and context management.
• Proven experience evaluating generative AI quality using LLM-based evaluation, heuristics, or custom evaluation frameworks, as well as observability and tracing tools such as LangSmith, Arize Phoenix, Langfuse, or similar.
• Production deployment experience on AWS, Azure, or GCP, including containerization and CI/CD.
• Sound judgment under ambiguity, including scoping, sequencing, and balancing speed, quality, and scope.
• English at C1 level.

Nice to have

• Experience designing experiments, A/B testing, and iterating AI products using real user behavior and business metrics.
• Background in NLP, Data Science, or applied ML, including experience moving models into production.
• Familiarity with MCP, A2A, Agent Skills, and emerging agent standards.
• Experience with enterprise AI platforms such as AWS Bedrock AgentCore, Databricks Genie, Microsoft Foundry, or Gemini Enterprise.
• Exposure to AI governance, security, and compliance, including guardrails and prompt-injection prevention.
• Prior client-facing or pre-sales experience in a consulting or services setting.

We offer

• A collaborative team of technology specialists working on AI, cloud, and digital platform modernization.
• A supportive, agile, startup-like culture.
• Hybrid work and the opportunity to work remotely within Poland.
• The opportunity to work abroad for up to 60 days annually.
• Business-driven relocation opportunities.
• Career development programs, thought leadership, mentoring, soft-skills and well-being programs.
• Certification opportunities in Anthropic, Gemini, GCP, Azure, and AWS, plus English classes.
• Stable pay.
• Participation in the Employee Stock Purchase Plan with a 15% discount.
• Benefits package including health insurance, multisport, and shopping vouchers.
• Referral bonuses up to $2,000.
• Offices with entertainment and relaxation zones, table tennis, football, free snacks, coffee, and more.
• Corporate, social, and well-being events.

Benefits listed above are available to employees only. Contractors are also welcome; B2B cooperation terms are agreed individually. Only selected candidates will be contacted.