EPAM Systems

Chief Forward Deployed Engineer

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C-Level / ManagerZdalnieFull-time

#380482·Dodano 4 miesiące temu·2

Źródło: EPAM Systems

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Tech Stack / Keywords

Data Science

Podsumowanie oferty

The Chief Forward Deployed Engineer role involves building AI-native solutions centered on large language models (LLM) and their harnesses. The engineer and their team are responsible for developing agentic systems, production code, evaluation pipelines, and observability tools. The role requires close collaboration with subject matter experts (SMEs) and end-users to identify value and design feedback loops. Key responsibilities include designing, building, and shipping end-to-end AI-native systems and ensuring system reliability and usability.

Wymagania

7+ years of engineering experience with a strong recent track record building production AI/LLM applications
Strong agent-design judgment, matching the harness to task context, failures, and policies
Ability to operate close to clients, lead discovery and feasibility conversations, and explain technical trade-offs to technical and non-technical audiences
Hands-on experience with agentic frameworks (LangChain, LangGraph, Semantic Kernel, or similar) 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
Proven experience evaluating generative AI quality using LLM-based evaluation, heuristics, custom eval frameworks, and observability/tracing tools (LangSmith, Arize Phoenix, Langfuse, or similar)
Production deployment experience on at least one major cloud (AWS, Azure, or GCP) with containerization and CI/CD
Sound judgment under ambiguity regarding 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 on AI products based on user behavior and business metrics
Background in NLP, Data Science, or applied ML with experience moving models into production
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 (guardrails, prompt-injection prevention)
Prior client-facing or pre-sales experience in consulting or services contexts

Obowiązki

Design, build, and ship AI-native systems end-to-end, including agents, workflows, RAG, and the harness (custom tool calling, sandboxing, context engineering, sub-agents, caching, compaction)
Build evaluation pipelines and use them to prove system usefulness
Design for failure in the agent loop, including retries, model fallbacks, cost limits, and human-in-the-loop on consequential actions
Capture domain expertise and repeatable workflows to transfer knowledge across engagements
Engage early to shape use cases and check 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 workflow observation to validate system fit

Benefity

Engineering community of industry professionals
Friendly team and enjoyable working environment
Flexible schedule and opportunity to work remotely within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
Outstanding career roadmap
Leadership development, career advising, soft skills, and well-being programs
Certification opportunities (GCP, Azure, AWS)
Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
English classes
Stable income (Employment Contract or B2B)
Participation in the Employee Stock Purchase Plan
Benefits package including health insurance, multisport, shopping vouchers
Strategically located offices with entertainment and relaxation zones, table tennis, football, free snacks, and coffee
Referral bonuses
Corporate, social, and well-being events

Elastyczne godziny

Płatny urlop

Dofinansowanie szkoleń

Budżet konferencyjny

Kursy językowe

Opieka zdrowotna

Karta sportowa

Udziały pracownicze

Premie

Darmowe przekąski

Inne informacje

EPAM is a leading global provider of digital platform engineering and development services. The company embraces a dynamic and inclusive culture and collaborates with multinational teams on innovative projects. Candidates will join a dedicated, creative, and diverse community. No matter the location, employees have opportunities to learn and grow.

EPAM Systems

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