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Senior AI Software Engineer
EMEA Region
At EPAM NEORIS, we believe transformation starts with people. Today, as part of EPAM, we are expanding our global reach and capabilities, while maintaining what matters most: a culture where every individual can grow, contribute, and take ownership.
We are not just looking to fill positions. We aim to bring in talent that strives to improve, continuously learn, and leave a mark on every project. We are a diverse, inclusive team in constant evolution. We promote ideas, not hierarchies. We are committed to the real development of each individual.
If you want to work in a place where your growth matters as much as results, we are looking for you.
We are not just looking to fill positions. We aim to bring in talent that strives to improve, continuously learn, and leave a mark on every project. We are a diverse, inclusive team in constant evolution. We promote ideas, not hierarchies. We are committed to the real development of each individual.
If you want to work in a place where your growth matters as much as results, we are looking for you.
We are currently looking for a Senior AI Software Engineer
We are looking for a highly skilled Senior AI Software Engineer based in Barcelona, with strong Python expertise and experience in LLM-powered systems. You will work on cutting-edge projects designing and building Agentic AI solutions to automate complex, data-intensive workflows in scientific and business environments. This role involves close collaboration with engineers, data scientists, and domain experts, within a flexible work model.
We are looking for a highly skilled Senior AI Software Engineer based in Barcelona, with strong Python expertise and experience in LLM-powered systems. You will work on cutting-edge projects designing and building Agentic AI solutions to automate complex, data-intensive workflows in scientific and business environments. This role involves close collaboration with engineers, data scientists, and domain experts, within a flexible work model.
Key Responsibilities:
- Design, develop, and maintain scalable Agentic AI systems, including LLM-powered agents and workflows.
- Build and orchestrate data processing and decision-making pipelines using Python.
- Integrate AI solutions with internal systems through APIs, databases, and cloud services.
- Ensure performance, reliability, and observability of production AI systems.
- Apply best practices in software engineering, including testing, CI/CD, and code reviews.
- Develop and maintain MCP servers to enable secure access to internal data sources.
- Collaborate cross-functionally to translate business and research needs into technical solutions.
- Optimize system performance, including latency, cost, and scalability of LLM-based applications.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Bioinformatics, or a related field.
- 5+ years of professional experience in software engineering, data engineering, machine learning, or related areas.
- Strong hands-on experience with Python, building production-grade applications and services.
- Advanced SQL skills with expertise in relational databases, data modeling, and query optimization.
- Proven experience designing and consuming RESTful APIs with attention to scalability and security (OAuth/JWT).
- Hands-on experience with AWS (ECS, Lambda, S3, RDS) and Infrastructure as Code (IaC).
- Experience applying software engineering best practices (Gitflow, PyTest, CI/CD pipelines, code reviews).
- Strong communication skills and ability to work in collaborative environments.
- High level of English.
Nice to Have:
- Agentic AI Systems in Production: Proven experience building or orchestrating multi-agent systems (LLM-based) with complex tool-calling capabilities and autonomous decision-making loops.
- Enterprise AI Frameworks: Deep familiarity with modern orchestration layers such as Pydantic-AI, LangGraph, or Semantic Kernel, moving beyond basic linear chains.
- Advanced RAG Architectures: Practical experience with Retrieval-Augmented Generation, including vector database tuning (e.g., Pinecone, Weaviate, Milvus), embedding optimization, and metadata filtering.
- LLM Lifecycle & Evaluation: Strong understanding of foundation model constraints, prompt engineering for production (DSPy/evaluation frameworks), and managing token latency/cost.
- Polyglot Programming: Experience in at least one compiled language (e.g., Go, C++, or Rust) to handle performance-critical backend components or low-level optimizations.
- Data domain knowledge: Experience working with scientific data (Omics, Imaging, Clinical, Preclinical, etc..).
What We Offer:
- Permanent contract with competitive compensation.
- Flexible work model and remote options.
- Personalized career development and continuous training.
- Participation in technically challenging, innovative projects.
- Flexible schedule and tailored social benefits.
If you are passionate about combining strong engineering fundamentals with cutting-edge Agentic AI systems, we would like to hear from you.
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