EPAM Systems

Chief Forward Deployed Engineer

Brak informacji o wynagrodzeniu

SeniorZdalnie·KatowiceFull-time

#447783·Dodano miesiąc temu·1

Źródło: justjoin.it

Aplikuj teraz

Tech Stack / Keywords

PythonAgent designLangchainRAGvector databasesEmbeddingsLLM EvaluationOpenAI CI/CD Docker

Podsumowanie oferty

The role involves building AI-native solutions focused on large language models (LLMs) and their harness. The engineer will design, build, and ship agentic systems and evaluation pipelines, work closely with subject matter experts (SMEs) and end-users, and design feedback loops to ensure systems deliver real value. The team is responsible for full end-to-end development including retries, model fallbacks, and human-in-the-loop integration.

Wymagania

7+ years of engineering experience with a strong recent track record building production AI / LLM applications
Strong agent design judgment focusing on task-harness fit considering context, failures, and policies
Ability to lead discovery and feasibility discussions and communicate technical trade-offs effectively to both technical and non-technical audiences
Hands-on experience with agentic frameworks such as LangChain, LangGraph, or Semantic Kernel
Experience with major LLM providers including OpenAI, Anthropic, and Google Gemini
Expert-level Python skills and solid software engineering fundamentals
Strong retrieval and RAG skills, including vector databases, embeddings, hybrid search, re-ranking, chunking, and context management
Proven experience in generative AI evaluation, including LLM-based evaluation and use of observability/tracing tools like LangSmith or Arize Phoenix
Production deployment experience on major clouds (AWS, Azure, or GCP) with containerization and CI/CD
Sound judgment under ambiguity in scoping, sequencing, and balancing 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 user behavior and business metrics
Background in NLP, Data Science, or applied ML with production 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 experience in consulting or services context

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 validate system usefulness
Design for failure handling in the agent loop, including retries, model fallbacks, cost limits, and human-in-the-loop for consequential actions
Capture domain expertise and repeatable workflows to transfer knowledge between engagements
Engage early in projects to shape use cases and assess technical feasibility
Write production-grade Python code for integrations, APIs, data access, and deployment
Work directly with SMEs and end-users through interviews, user acceptance testing (UAT), and observation to validate system alignment with real workflows

Benefity

Top tech minds driving innovation in AI, cloud, and digital platform modernization
Supportive team 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, thought leadership, mentoring, and well-being programs
Certification opportunities (Anthropic, Gemini, GCP, Azure, AWS)
English classes
Stable pay
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 and football, free snacks and coffee
Corporate, social, and well-being events
Open to working with contractors with individually agreed B2B terms

Elastyczne godziny

Pakiet relokacyjny

Szkolenia wewnętrzne

Budżet konferencyjny

Dofinansowanie szkoleń

Spotkania integracyjne

Kursy językowe

Karta sportowa

Opieka zdrowotna

Ubezpieczenie

Płatny urlop

Udziały pracownicze

Premie

Darmowe przekąski

Napoje w biurze

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

EPAM Systems

1770 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz