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.ResponsibilitiesDesign, build and ship AI-native systems E2E — agents, workflows, RAG and the harness: custom tool calling, sandboxing, context engineering and sub-agents, caching, compactionBuild the evaluation pipelines and use them to prove the system is genuinely usefulDesign for failure in the agent loop: retries, model fallbacks, cost limits and human-in-the-loop on consequential actionsCapture domain expertise and repeatable workflows so what works on one engagement carries to the nextEngage early to help shape the use case and check technical feasibilityWrite production-grade Python: integrations, APIs, data access, deploymentWork directly with SMEs and end-users through interviews, UAT and observing the real workflow, and validate that the system fits how people actually workRequirements7+ 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 vigente task rather than calling a model in a loopCapability 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 audiencesHands-on experience with agentic frameworks (LangChain, LangGraph, Semantic Kernel) and major LLM providers (OpenAI, Anthropic,



Google Gemini)Expert-level Python and solid software engineering fundamentalsStrong RAG and retrieval skills: vector databases, embeddings, hybrid search, re-ranking, chunking and context managementProven experience evaluating generative AI quality — LLM-based evaluation, heuristics, custom eval frameworks — and using observability/tracing tools (LangSmith, 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. scopeNice to haveExperience designing experiments, A/B testing and iterating on AI products against real user behavior and business metricsBackground in NLP, Data Science or applied ML, with experience moving models into productionFamiliarity with MCP, A2A and Agent Skills, and emerging agent standardsExperience with enterprise AI platforms (AWS Bedrock AgentCore, Databricks Genie, Microsoft Foundry)Exposure to AI governance, security and compliance (guardrails, prompt-injection prevention)We offerPrivate health insuranceEPAM Employees Stock Purchase Plan100% paid sick leaveReferral ProgramProfessional certificationLanguage coursesPermanent contract with a competitive salaryFlexible working model with remote work optionsPersonalized career plan and continuous learning (certifications, English training,



etc.)Participation in stable projects with a strong technical focusFlexible working hours and a strong focus on work–life balanceBenefits package tailored to your needsPrivate Healthcare PackagePensionEmployee Assistance ProgrammeEnhanced Maternity policyGroup Life Protection BenefitGive as You EarnCycle to Work SchemeEmployee Referral Bonus SchemeDiversity NetworksAccess to a range of skills and certificationsEPAM 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 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.
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📌 Forward Deployed Engineer/Chief role (relocation to Spain) (Cáceres)
🏢 EPAM Systems
📍 Cáceres