Senior Forward Deployed Engineer (m/f/d)

EPAM Systems; München; Hybrid; EUR 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

30 days holiday per annum

Company Pension Scheme

Regular performance assessments

Fitness-First membership discounts

bitkom Corporate Benefits

Employee Stock Purchase Plan (ESPP)

Learning and certifications programs

Team events and culture initiatives

Flexible and remote working options

Award-winning workplace recognitions

Zusammenfassung

EPAM Systems is seeking a Senior Forward Deployed Engineer to design and deliver AI-native solutions in Germany, with a hybrid work model. You will implement LLM‑driven workflows, agent architectures, and scalable architectures while collaborating with stakeholders to improve operations and decision‑making.

The role requires 7+ years in AI/LLM systems, strong Python and cloud CI/CD experience, and fluency in German and English (C1).

Qualifikationen

• 7+ years of engineering experience delivering production‑grade AI or LLM‑based systems.
• Expertise in agent design and RAG techniques (vector databases, hybrid search, embedding optimization).
• Advanced proficiency in Python and strong software engineering fundamentals.
• Experience with LangChain, LangGraph or Semantic Kernel and major LLM providers.
• Proven ability to design evaluation pipelines and apply AI observability tools.
• Hands‑on deployment experience with cloud platforms and CI/CD practices.
• Strong communication skills for technical and non‑technical audiences.
• Fluency in German and English at C1 level or higher.

Aufgaben

• Build AI‑native solutions end‑to‑end, including agents, RAG workflows and evaluation frameworks.
• Design fault‑tolerant agent workflows with retries, fallbacks and human‑in‑the‑loop mechanisms.
• Translate business and domain knowledge into scalable AI solutions.
• Write robust production‑grade Python code covering APIs, integrations and deployment.
• Optimize retrieval and context engineering using vector databases and embeddings.
• Develop observability tools to monitor performance.
• Deploy solutions securely in cloud environments using containers and CI/CD.
• Conduct user testing and workflow analysis to validate usability.
• Collaborate with cross‑functional teams to shape use cases.

Kenntnisse

AI/LLM systems

Agent design & RAG

Python proficiency

LangChain/LangGraph/Semantic Kernel

Cloud & CI/CD

German & English (C1)

Tools

LangSmith

Arize Phoenix

AWS/Azure/GCP

Vector databases

Jobbeschreibung

We're looking for a Senior Forward Deployed Engineer (m/f/d) to join our team in Germany in a hybrid working mode.

In this role, you will design and deliver AI-native solutions where Large Language Models (LLMs) and advanced agentic systems generate real business value. You will work hands‑on to build scalable architectures, write production‑grade code, and create evaluation frameworks that ensure high performance and reliability.

You will collaborate directly with stakeholders and end users to deeply understand their workflows, integrate AI technologies seamlessly into business processes, and improve operations and decision‑making. This position demands technical excellence, user‑centric problem‑solving, and the ability to deliver innovative solutions aligned with client goals.

Responsibilities

• Build AI-native solutions end‑to‑end, including agents, Retrieval‑Augmented Generation (RAG) workflows, tool harnesses and evaluation frameworks
• Design fault‑tolerant agent workflows with retries, fallbacks and human‑in‑the‑loop mechanisms to ensure reliability
• Translate business and domain expertise into scalable, repeatable AI solutions
• Write robust production‑grade Python code covering APIs, integrations and secure deployment
• Optimize retrieval and context engineering capabilities using vector databases, embeddings and hybrid search
• Develop observability tools with platforms such as LangSmith or Arize Phoenix to monitor performance
• Deploy solutions securely in cloud environments (AWS, Azure or GCP) using containerized deployments and CI/CD pipelines
• Conduct user testing and workflow analysis to validate real‑world usability
• Collaborate with cross‑functional teams to assess technical feasibility and shape use cases

Requirements

• 7+ years of engineering experience delivering production‑grade AI or LLM‑based systems
• Expertise in agent design and RAG techniques (vector databases, hybrid search, embedding optimization)
• Advanced proficiency in Python and strong software engineering fundamentals
• Experience with frameworks such as LangChain, LangGraph or Semantic Kernel and familiarity with major LLM providers (OpenAI, Anthropic, Google Gemini)
• Proven ability to design evaluation pipelines and apply AI observability tools
• Hands‑on deployment experience with major cloud platforms and CI/CD practices
• Strong communication skills for both technical and non‑technical audiences
• Fluency in German and English at C1 level or higher

Nice to have

• Experience with A/B testing and iterative improvements based on usage data
• Background in NLP or applied machine learning, including production deployment
• Knowledge of advanced retrieval methods and enterprise‑grade context engineering
• Familiarity with AI governance, compliance, security guardrails and injection prevention
• Exposure to enterprise AI platforms such as AWS Bedrock or Databricks Genie
• Previous work in client‑facing or pre‑sales consulting roles

We offer

• 30 days holiday per annum
• Company Pension Scheme
• Regular performance assessments
• Discount on Fitness-First Black Membership
• bitkom - Corporate Benefits
• Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
• Learning and development opportunities, including in‑house training and coaching, professional certifications, and courses
• Friendly and enjoyable working team
• Regular corporate and social events
• Flexible and remote working opportunities
• Award‑winning workplace: Great Place To Work® certified in 2026, Kununu (Top Company 2022–2026), NewWork Business Award 2025 for outstanding culture, innovation and employee satisfaction.