We are looking for a Senior/Lead AI Engineer to design, build, and scale end-to-end AI applications — including chatbots, agent workflows, and LLM-driven solutions. You will work directly with clients, drive technical decisions, and deliver production-grade AI systems that create real business impact.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Responsibilities
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Design and deploy AI/LLM applications at scale (RAG, agentic systems, Q&A platforms)
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Architect solutions using agentic frameworks, integrating with vector databases and advanced memory architectures
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Build APIs, data pipelines, and enterprise integrations (CRM, ERP, cloud platforms)
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Evaluate and refine AI performance using LLM-based evaluation, agent metrics, and A/B testing
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Ensure performance, security, observability, and cost-efficiency across deployed solutions
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Conduct research, rapid prototyping, and experimentation to validate feasibility and business value
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Stay current with emerging AI protocols (MCP, A2A, ACP) and evolving LLM technologies
Requirements
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5+ years in AI/ML engineering with production-grade delivery experience
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Strong Proficiency in at least one modern programming language and web frameworks (Python, Java, Scala)
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Hands-on experience with major LLM platforms, agentic frameworks, and advanced integration patterns (RAG, agent orchestration, tool calling)
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Experience with vector databases, semantic/hybrid search, and retrieval/ranking systems
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Knowledge of MLOps/AIOps practices, monitoring, and security (including prompt injection prevention)
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Strong communication skills — able to translate complex AI concepts for both technical and non-technical audiences
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Ability to work independently, lead technical initiatives, and collaborate with cross-functional teams
Technologies
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Languages: Python, Java, C#, Go
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Web Frameworks: FastAPI, Streamlit, Gradio, Flask, Spring Boot, ASP.NET
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LLM Platforms: OpenAI, Anthropic, Amazon Bedrock, Gemini
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Agentic Frameworks: LangChain, LangGraph, Semantic Kernel, LlamaIndex, Strands Agents
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Vector Databases: Qdrant, FAISS, Chroma, Pinecone, Weaviate
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Cloud AI Platforms: Azure OpenAI, Amazon Bedrock, GCP Vertex AI
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Enterprise AI: AWS AgentCore, Databricks AgentBricks, Google Agents Space, Azure AI Foundry
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On-Premise: vLLM
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Protocols: MCP, A2A, ACP
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MLOps/AIOps, observability, and security/guardrail tools for AI applications
We offer
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Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept).
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Medicina Prepaga (It covers the collaborator and direct family group).
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Paternity Leave (Two additional days are added to what is established by law, total of 4 days).
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Discounts card.
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English Training (English lessons, twice per week).
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Training Program (Access to multiple customized training plans according to the needs of each role within the company).
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Marriage bonus (The company doubles the allowance established by law that ANSES offers).
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Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company).
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External Agreements and Discounts.
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Vacations: 14 calendar days a year
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