Applied Senior Software Engineer (AI Native Development)
EPAM Systems is a global team of technologists who design, develop and deliver software that powers the world. We are at a pivotal moment where AI is the core engine of our engineering craft.
Join our AI-Centric Delivery team as a Senior Software Engineer to redefine the Software Development Lifecycle (SDLC). Go beyond writing code to design and orchestrate AI agents and agentic workflows that accelerate development velocity.
If you are a tool-agnostic engineer focused on the future of AI-native engineering, this role offers the opportunity to build, test and ship transformative technical solutions for global brands.
Responsibilities
- Design and build sophisticated AI developer agents capable of generating, refactoring and documenting complex codebases at scale
- Champion the shift from manual coding to an agentic workforce while maintaining hands-on technical involvement for high-level precision
- Deliver functional, high-velocity prototypes in tight windows to prove the real-world power of AI-driven engineering
- Design and integrate AI-enabled workflows directly into the engineering stack including Git, Jira and CI/CD pipelines to automate processes and maximize developer throughput
- Consult with stakeholders to translate complex business requirements into AI-SDLC augmented technical solutions
- Articulate the trade-offs of agentic design and ensure alignment with enterprise goals
Requirements
- Extensive engineering background as a high-performing developer with mastery of Java, JavaScript, Python or .NET
- Hands-on expertise with large language models including Anthropic Claude, OpenAI GPT or Google Gemini
- Proven capability in developing agentic workflows featuring tool use, memory and multi-step reasoning focused on engineering tasks
- Strong understanding of RAG architectures, prompt engineering and the mechanics of integrating AI into production-grade SDLC workflows
- Execution-focused mindset with a strong preference for building, testing and shipping working solutions
Nice to have
- Experience with multi-agent orchestration frameworks like CrewAI or AutoGen
- Knowledge of vector databases such as FAISS, Pinecone, Qdrant or Chroma
- Familiarity with LLM evaluation, guardrails and observability
- Cloud deployment experience with AWS, Azure or GCP
- Practical experience with AI frameworks such as LangChain, Hugging Face or LlamaIndex
