EPAM Systems

Chief Forward Deployed Engineer

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SeniorZdalnie·GdańskFull-time

#447779·Dodano miesiąc temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

PythonAgent designLangchainRAGvector databasesEmbeddingsModel EvaluationPrompt Engineering AWS CI/CD

Podsumowanie oferty

The Chief Forward Deployed Engineer role involves building AI-native solutions where large language models (LLM) and their harness are central. The position focuses on designing, building, and deploying agentic systems and related workflows, working closely with SMEs and end-users to ensure the solutions provide real value. Responsibilities include writing production-grade Python code and establishing evaluation and observability systems for AI applications.

Wymagania

7+ years engineering experience with a strong recent record in production AI/LLM applications
Strong judgment in agent design, including task-harness fit and failure policies
Ability to lead discovery, feasibility discussions, and communicate technical trade-offs to technical and non-technical audiences
Hands-on experience with agentic frameworks like LangChain, LangGraph, Semantic Kernel, or similar, and LLM providers such as OpenAI, Anthropic, Google Gemini
Expert-level proficiency in Python and software engineering fundamentals
Strong skills in RAG and retrieval: vector databases, embeddings, hybrid search, re-ranking, chunking, context management
Proven experience in generative AI quality evaluation using LLM-based methods, heuristics, custom eval frameworks, and observability tools like LangSmith, Arize Phoenix, Langfuse
Production deployment experience on major clouds (AWS, Azure, or GCP) with containerization and CI/CD
Sound judgment under ambiguity involving scoping, sequencing, and trade-offs
English language proficiency at C1 level

Nice to have:

Experience designing experiments, A/B testing, and iterating AI products based on user behavior and business metrics
Background in NLP, Data Science, or applied ML with production model deployment experience
Familiarity with MCP, A2A, Agent Skills, and emerging agent standards
Experience with enterprise AI platforms (AWS Bedrock AgentCore, Databricks Genie, Microsoft Foundry, 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 context

Obowiązki

Design, build, and ship AI-native systems E2E — agents, workflows, RAG, and the harness including custom tool calling, sandboxing, context engineering and sub-agents, caching, and compaction
Build evaluation pipelines and demonstrate system usefulness
Design for failure in agent loops with retries, model fallbacks, cost limits, and human-in-the-loop for consequential actions
Capture domain expertise and repeatable workflows to transfer learnings across engagements
Engage early in projects to shape use cases and assess feasibility
Write production-grade Python including integrations, APIs, data access, and deployment
Work directly with SMEs and end-users through interviews, UAT, and workflow observation to validate system fit

Benefity

Hybrid work mode and remote work opportunity within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
Career development programs including mentoring, soft skills, well-being, and certification (Anthropic, Gemini, GCP, Azure, AWS)
English classes
Stable pay with participation in Employee Stock Purchase Plan at a 15% discount
Benefits package including health insurance, multisport, 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

Note: Benefits available to employees only; B2B cooperation terms are agreed individually; only selected candidates contacted

Elastyczne godziny

Pakiet relokacyjny

Szkolenia wewnętrzne

Budżet konferencyjny

Dofinansowanie szkoleń

Spotkania integracyjne

Kursy językowe

Karta sportowa

Opieka zdrowotna

Ubezpieczenie

Darmowe przekąski

Inne informacje

Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez EPAM Systems (Poland) sp. z o.o. z siedzibą w: Fabryczna 1A, 31-553 Kraków (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu zgodnie Polityką Prywatności dostępną na stronie: https://www.epam.com/applicant-privacy-notice

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