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. This is a builder's role: you and your team are responsible for building agentic systems, writing production code, and establishing evaluation and observability capabilities. You will work closely with SMEs and end users to identify real value 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 demonstrate that systems are genuinely useful.
• Design for agent-loop failures, including retries, model fallbacks, cost limits, and human-in-the-loop controls for consequential actions.
• Capture domain expertise and repeatable workflows so successful approaches transfer between 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 system fit.

Requirements

• 7+ years of engineering experience, with a strong recent record of building production AI/LLM applications rather than prototypes or research only.
• Strong agent-design judgment, including aligning the task harness with the task context, failure modes, and policies.
• Ability to lead discovery and feasibility discussions, work directly with SMEs and end users, and explain 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 generative-AI quality evaluation experience, including 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, 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 moving models into production.
• Familiarity with MCP, A2A, Agent Skills, and emerging agent standards.
• Experience with enterprise AI platforms, including 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 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.
• Certifications 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 an Employee Stock Purchase Plan.
• Benefits package including health insurance, multisport, and shopping vouchers.
• Offices with entertainment and relaxation zones, table tennis, football, snacks, and coffee.
• Referral bonuses and corporate, social, and well-being events.

Please note

• Bonuses may vary by role; specifics will be discussed during the general interview.
• Only selected candidates will be contacted.