We are building AI-native solutions for our clients — products where LLM and its harness are the core of the value. This is a builder's role: you and your team are responsible for building agentic systems, writing the production code, and standing up the evals and observability. You will work closely with SMEs and end-users to understand where the real value lies, and you design the feedback loops. Responsibilities Design, build and ship AI-native systems E2 E — agents, workflows, RAG and the harness: custom tool calling, sandboxing, context engineering and sub-agents, caching, compaction Build the evaluation pipelines and use them to prove the system is genuinely useful Design for failure in the agent loop: retries, model fallbacks, cost limits and human-in-the-loop on consequential actions Capture domain expertise and repeatable workflows so what works on one engagement carries to the next Engage early to help shape the use case and check technical feasibility Write production-grade Python: integrations, APIs, data access, deployment Work directly with SMEs and end-users through interviews, UAT and observing the real workflow, and validate that the system fits how people actually work Requirements7+ years of engineering experience, with a strong recent track record building production AI / LLM applications (not prototypes or research only)Strong agent-design judgment — task-harness fit, matching the harness to the context, failures and policies of the actual task rather than calling a model in a loop Capability to operate close to the client: lead discovery and feasibility conversations, work directly with SMEs and end-users, and explain technical trade-offs to both technical and non-technical audiences Hands-on experience with agentic frameworks (Lang Chain, Lang Graph, Semantic Kernel) and major LLM providers (Open AI, Anthropic,



Google Gemini)Expert-level Python and solid software engineering fundamentals Strong RAG and retrieval skills: vector databases, embeddings, hybrid search, re-ranking, chunking and context management Proven experience evaluating generative AI quality — LLM-based evaluation, heuristics, custom eval frameworks — and using observability/tracing tools (Lang Smith, Arize Phoenix, Langfuse)Production deployment experience on at least one major cloud (AWS, Azure, GCP) with containerization, CI/CDSound judgment under ambiguity — scoping, sequencing and making the call on speed vs. quality vs. scope Nice to have Experience designing experiments, A/B testing and iterating on AI products against real user behavior and business metrics Background in NLP, Data Science or applied ML, with experience moving models into production Familiarity with MCP, A2 A and Agent Skills, and emerging agent standards Experience with enterprise AI platforms (AWS Bedrock Agent Core, Databricks Genie, Microsoft Foundry)Exposure to AI governance, security and compliance (guardrails, prompt-injection prevention)We offer Private health insurance EPAM Employees Stock Purchase Plan100% paid sick leave Referral Program Professional certification Language courses Permanent contract with a competitive salary Adaptable 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 EPAMWORK 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 Linked In 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.#J-18808-Ljbffr

📌 Forward Deployed Engineer/Chief Role (Relocation To Spain) (Cáceres)
🏢 EPAM Systems
📍 Cáceres