Senior AI Engineer
Primary stack
Nice to have's
Job description
About the Position
We are seeking a highly skilled and innovative Senior AI Engineer to join our team, where you will design, develop, and deploy cutting-edge AI solutions to address complex business challenges. This is a unique opportunity to work with a team of dedicated professionals, leveraging the latest advancements in LLM technologies and AI systems to deliver impactful solutions.
Responsibilities
- Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows
- Collaborate directly with clients to understand their needs, identify opportunities, and recommend LLM-driven solutions
- Develop and manage robust data pipelines, prompt strategies, and datasets to ensure the effective and accurate performance of AI models (considered a plus)
- Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable, and compliant with industry regulations (considered a plus)
- Conduct research and rapid prototyping to validate technical feasibility and demonstrate the business value of AI solutions
- Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes
Requirements
- 3+ years of experience in AI Engineering
- Strong proficiency in Python; experience with web frameworks like FastAPI or similar
- Understanding of the AI application development lifecycle
- Experience in rapid UI prototyping using frameworks such as Streamlit, Gradio, or similar
- Familiarity with major LLM platforms and APIs (e.g., OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (e.g., LangGraph, LlamaIndex, Strands Agents, etc.)
- Knowledge of advanced AI integration patterns (e.g., RAG, Agents)
- Experience deploying AI solutions at scale, with considerations for performance, cost efficiency, and maintainability
- Proven ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods
- Proven experience in AI engineering and delivering ML-based solutions
- Strong problem-solving skills and attention to detail
- Excellent communication, collaboration, and interpersonal skills
- English level of minimum B2 (Upper-Intermediate)
Nice to Have
- Experience in designing experiments, conducting A/B tests, and iterating on models based on user feedback
- Understanding of retrieval systems (e.g., keyword search, vector search, embeddings) and ranking algorithms
- Familiarity with emerging protocols such as MCP, A2A, ACP, etc.
- Experience deploying to cloud AI platforms (e.g., Azure OpenAI, Amazon Bedrock, GCP Vertex AI) or on-premise solutions (e.g., vLLM)
- Experience with enterprise AI platforms such as AWS AgentCore, Databricks AgentBricks, Google Agents Space, or Azure AI Foundry
- Experience using observability and monitoring tools and frameworks
We Offer
- Opportunity to work in a dynamic and innovative environment
- Collaborative and supportive team culture
- Potential for professional growth and development
About the Company
[Company description if present]
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EPAM helps organizations innovate their business processes and rethink the way they manage their businesses so they can remain competitive in this new digital age.