EPAM Systems

Chief Forward Deployed Engineer

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C-Level / ManagerZdalnie·ŁódźFull-time

#447788·Dodano 25 dni temu·3

Źródło: justjoin.it

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Tech Stack / Keywords

PythonAgent designLangchainRAGvector databasesEmbeddingsDocker

Podsumowanie oferty

As a Chief Forward Deployed Engineer, you will build AI-native solutions centered on LLM technology, including agentic systems and evaluation frameworks. You will work closely with subject matter experts and end-users to design, build, and deploy production-grade AI applications. The role involves driving discovery, technical feasibility, and feedback loop design for effective AI systems.

Wymagania

7+ years engineering experience with a strong recent track record in production AI/LLM applications
Expertise in agent design focusing on task-harness fit and failure handling
Ability to lead discovery and feasibility conversations directly with clients and SMEs
Hands-on experience with agentic frameworks such as LangChain, LangGraph, or Semantic Kernel and major LLM providers (OpenAI, Anthropic, Google Gemini)
Expert-level Python skills and solid software engineering fundamentals
Strong RAG and retrieval skills including vector databases, embeddings, hybrid search, re-ranking, chunking, and context management
Experience with generative AI evaluation methods and observability tools like LangSmith, Arize Phoenix, or Langfuse
Production deployment experience on major clouds (AWS, Azure, GCP) with containerization and CI/CD
Good judgment under ambiguity to balance speed, quality, and scope
English proficiency at C1 level

Nice to have:

Experience designing experiments, A/B testing, and iterating AI products
Background in NLP, Data Science, or applied ML with production deployment experience
Familiarity with MCP, A2A, Agent Skills, and emerging agent standards
Experience with enterprise AI platforms such as AWS Bedrock AgentCore, Databricks Genie, or Microsoft Foundry
Exposure to AI governance, security, and compliance, including guardrails and prompt-injection prevention
Prior client-facing or pre-sales consulting experience

Obowiązki

Design, build, and deploy AI-native end-to-end systems including agents, workflows, RAG, custom tool calling, sandboxing, context engineering, caching, and compaction
Develop evaluation pipelines to verify system effectiveness
Handle agent loop failure modes such as retries, model fallbacks, cost limits, and human-in-the-loop interventions
Capture and replicate domain expertise and workflows across engagements
Engage early with stakeholders to shape use cases and assess technical feasibility
Write production-grade Python code for integrations, APIs, data access, and deployments
Collaborate directly with SMEs and end-users through interviews, UAT, and workflow observations to validate system fit

Benefity

Opportunity to work with top AI and cloud technology experts
Supportive agile and startup-like culture
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 and mentoring
Certification opportunities (Anthropic, Gemini, GCP, Azure, AWS)
English language classes
Stable pay
Participation in the Employee Stock Purchase Plan with a 15% discount
Benefits package including health insurance, multisport, shopping vouchers
Referral bonuses up to $2,000
Access to offices with entertainment zones, table tennis, football, free snacks, and coffee
Corporate, social, and well-being events

Note: Benefits are available only to employees. B2B cooperation terms are negotiated individually. Only selected candidates will be contacted.

Elastyczne godziny

Opieka zdrowotna

Karta sportowa

Premie

Udziały pracownicze

Płatny urlop

Darmowe przekąski

Napoje w biurze

Spotkania integracyjne

Dofinansowanie szkoleń

Kursy językowe

Pakiet relokacyjny

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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