EPAM Systems

Chief Forward Deployed Engineer

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SeniorZdalnie·KrakówFull-time

#447789·Dodano 25 dni temu·2

Źródło: justjoin.it

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Tech Stack / Keywords

Python LangchainRetrieval-Augmented Generationvector databasesEmbeddingsLLM EvaluationAWS

Podsumowanie oferty

You will build AI-native systems focusing on large language models (LLMs) as core value components. The role involves designing, building, and shipping agentic systems along with evaluation and observability tools. Collaboration with subject matter experts (SMEs) and end-users to shape use cases and validate solutions is essential.

Wymagania

7+ years of engineering experience with recent production AI / LLM application development
Strong agent-design judgment focusing on task-harness fit and practical policies
Ability to lead discovery and feasibility conversations, working closely with SMEs and end-users
Hands-on experience with agentic frameworks like LangChain, LangGraph, or Semantic Kernel and major LLM providers (OpenAI, Anthropic, Google Gemini)
Expert-level Python and software engineering fundamentals
Strong retrieval skills including vector databases, embeddings, hybrid search, re-ranking, chunking, and context management
Experience evaluating generative AI quality using LLM-based heuristics and custom evaluation frameworks; familiarity with observability tools such as LangSmith, Arize Phoenix, or Langfuse
Production deployment experience on major clouds like AWS, Azure, or GCP, including containerization and CI/CD
Sound judgment under ambiguity with ability to balance speed, quality, and scope
English language proficiency at C1 level

Nice to have:

Experience designing experiments, A/B testing, and iterating AI products based on real user behavior and business metrics
Background in NLP, Data Science, or applied ML with production model experience
Familiarity with MCP, A2A, Agent Skills, and emerging agent standards
Experience with enterprise AI platforms such as 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 consulting or services experience

Obowiązki

Design, build, and ship AI-native systems end-to-end, including agents, workflows, retrieval-augmented generation (RAG), custom tool calling, sandboxing, context engineering, sub-agents, caching, and compaction
Build evaluation pipelines to prove system usefulness
Design for failure including retries, model fallbacks, cost limits, and human-in-the-loop on consequential actions
Capture domain expertise and repeatable workflows for transfer across engagements
Engage early to shape use cases and assess technical feasibility
Write production-grade Python code including integrations, APIs, data access, and deployment
Work directly with SMEs and end-users through interviews, user acceptance testing, and workflow observation to validate system fit

Benefity

Collaboration with top tech minds focused on AI, cloud, and digital platform modernization
Supportive and agile, startup-like culture
Hybrid work mode with opportunity to work remotely 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 programs (Anthropic, Gemini, GCP, Azure, AWS)
English language classes
Stable pay and 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

Elastyczne godziny

Dofinansowanie szkoleń

Kursy językowe

Udziały pracownicze

Premie

Karta sportowa

Opieka zdrowotna

Darmowe przekąski

Napoje w biurze

Spotkania integracyjne

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.

EPAM Systems

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