Principal Forward Deployed Engineer (relocation to Spain)
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Key skills for this role
Key Skills for This Role
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Responsibilities
- Design, build and ship end-to-end AI-native systems including agents, workflows, RAG and integration harnesses
- Write production-grade Python code for integrations, APIs, data access and deployment
- Work directly with subject matter experts and end-users through interviews, user acceptance testing and workflow observations
- Engage early in projects to shape use cases and check technical feasibility
- Build evaluation pipelines and use them to prove system utility
- Design for failure in the agent loop by implementing retries, model fallbacks, cost limits and human-in-the-loop actions
- Capture domain expertise and repeatable workflows to ensure success across engagements. Troubleshoot and resolve technical challenges in collaboration with the broader team
- Ensure adherence to engineering excellence standards including test-driven development and continuous integration practices
Requirements
- 7+ years of software engineering experience with a strong track record of building production AI and LLM applications
- Expert-level Python skills and solid software engineering fundamentals
- Hands-on experience with agentic frameworks such as LangChain, LangGraph or Semantic Kernel and major LLM providers
- Strong RAG and retrieval skills including vector databases, embeddings, hybrid search and context management
- Production deployment experience on major cloud platforms like AWS, Azure or GCP with containerization and CI/CD
- Proven experience evaluating generative AI quality using custom evaluation frameworks and observability tools
- Proven capability to work closely with clients, lead discovery conversations and explain technical trade-offs to diverse audiences
- Strong agent-design judgment and sound engineering judgment under ambiguity to balance speed, quality and scope
- C1 level English language proficiency
- An academic degree in Computer Science, Software Engineering or a related field
Nice to have
Experience designing experiments, A/B testing and iterating on AI products against real user behavior
Strong background in NLP, Data Science or applied machine learning with experience moving models into production
Familiarity with Model Context Protocol (MCP), Agent-to-Agent (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
We offer/Benefits
- Private health insurance
- EPAM Employees Stock Purchase Plan
- 100% paid sick leave
- Referral Program
- Professional certification
- Language courses
- Permanent contract with a competitive salary
- Flexible working model with remote work options
- Personalized career plan and continuous learning (certifications, English training, etc.)
- Participation in stable projects with a strong technical focus
- Flexible working hours and a strong focus on work–life balance
- Benefits package tailored to your needs
- Private Healthcare Package
- Pension
- Employee Assistance Programme
- Enhanced Maternity policy
- Group Life Protection Benefit
- Give as You Earn
- Cycle to Work Scheme
- Employee Referral Bonus Scheme
- Diversity Networks
- Access to a range of skills and certifications
- EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.
- Why Join EPAM
- WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
- CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
- CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
- STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.
About EPAM Systems, Inc.
Provides global digital platform engineering and software development services.
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