Senior AI Solution Engineer

We are looking for a Senior AI Engineer to design, build, and scale our next-generation AI and Large Language Model (LLM) applications. In this role, you will lead the technical development of advanced AI workflows, work directly with clients to turn their ideas into reality, and help mentor our growing team.
If you love Python, Natural Language Processing (NLP), and staying on the cutting edge of Generative AI, we want to hear from you!
Responsibilities
Build End-to-End AI: Architect and implement scalable AI applications, including chatbots, search platforms, and autonomous agent workflows
Consult with Clients: Collaborate directly with business stakeholders to understand their challenges and recommend smart, LLM-driven solutions
Ensure Quality & Security: Create data pipelines, design smart prompt strategies, and build testing frameworks to ensure our AI models are safe, accurate, and cost-effective
Lead & Mentor: Establish coding standards, perform code reviews, and mentor junior developers in AI best practices
Prototype & Innovate: Run quick experiments, build prototypes to test new models, and stay ahead of the curve with emerging AI research and tools
Requirements
Solid Experience: Proven background as a Senior Software Engineer delivering production-grade AI, Machine Learning, or LLM-based solutions
Python & NLP Foundations: Strong proficiency in Python (especially web frameworks like FastAPI) and a solid grasp of NLP concepts (semantic similarity, tokenization, text classification)
AI Architecture: Hands-on experience with modern AI patterns, particularly RAG (Retrieval-Augmented Generation) and AI Agents
Modern LLM Stack: Familiarity with major LLM APIs (OpenAI, Anthropic, Bedrock) and framework tools (like LangGraph or LlamaIndex)
Testing & Scaling: Experience deploying AI applications at scale, managing cloud costs, and evaluating model quality (using retrieval metrics or LLM-based evaluation)
Rapid Prototyping: Ability to quickly spin up user interfaces using Streamlit, Gradio, or similar tools
Great Communicator: Ability to explain complex technical ideas clearly to both developer teams and non-technical clients
Nice to have
Development experience with TypeScript
Experience incorporating AI into the SDLC (using tools like GitHub Copilot or Cursor to write, test, and review code)
Cloud expertise with AWS or Azure (specifically Azure OpenAI or AWS Bedrock)
Experience using Databricks (MLflow, AgentBricks, etc.) for data or model workflows
Knowledge of advanced search/retrieval systems (vector databases, semantic search, rerankers)
Familiarity with emerging open-source protocols (like Model Context Protocol - MCP) or LLM monitoring tools (like LangSmith or Arize Phoenix)
We offer
CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
Diversity of tasks and projects
Assessment center for objective review of competency level
Personal development plan
Mentoring programs and leadership development
Certification and professional development support
Access to learning platforms including more than 2,500 internal courses
English courses taught by certified teachers
CORPORATE BENEFITS
Extra leave days
Referral bonuses
COMPENSATION PACKAGE
Competitive compensation paid in USD
Regular salary and performance reviews
MEDICAL & HEALTHCARE
Private health insurance
Well-being events
WORKING ENVIRONMENT
Recreation areas and kitchens
Tea, coffee and snacks
Sports equipment and game consoles
IT Equipment
Microsoft’s Software Assurance Home Use Program (HUP)
Please note that our Talent Attraction Team reviews applications and CVs submitted in English.
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

Work arrangement
Yes