Chief Forward Deployed Engineer

We are looking for a Chief Forward Deployed Engineer to build AI-native solutions where LLMs and their harnesses are the core of the value. This is a builder's role: you and your team are responsible for building agentic systems, writing production code, and establishing evaluations and observability. You will work closely with SMEs and end-users to understand where the real value lies and design feedback loops.

Responsibilities

• Design, build, and ship end-to-end AI-native systems: agents, workflows, RAG, and harnesses including custom tool calling, sandboxing, context engineering, sub-agents, caching, and compaction.
• Build 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 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 observation of real workflows to validate system fit.

Requirements

• 7+ years of engineering experience, with a strong recent track record building production AI/LLM applications rather than prototypes or research only.
• Strong agent-design judgment, including fitting the task harness to the context, failures, and policies of the actual 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 solid 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, plus observability/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 when scoping, sequencing, and balancing speed, quality, and scope.
• English at C1 level.

Nice to have

• Experience designing experiments, A/B testing, and iterating on AI products using real user behavior and business metrics.
• Background in NLP, Data Science, or applied ML, including 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 consulting or services.

We offer

• Engineering community of industry professionals.
• Friendly team and enjoyable working environment.
• Flexible schedule and remote work within Poland.
• Opportunity to work abroad for up to 60 days annually.
• Business-driven relocation opportunities.
• Career roadmap, leadership development, career advising, soft-skills, and well-being programs.
• Certification opportunities for GCP, Azure, and AWS.
• Unlimited access to LinkedIn Learning, Get Abstract, and Cloud Guru.
• English classes.
• Stable income through an Employment Contract or B2B arrangement.
• Participation in the Employee Stock Purchase Plan.
• Benefits package including health insurance, multisport, and shopping vouchers.
• Offices with entertainment and relaxation zones, table tennis, football, free snacks, and coffee.
• Referral bonuses.
• Corporate, social, and well-being events.

Please note

• The set of bonuses may vary by role; details will be discussed during the general interview.
• Only selected candidates will be contacted.