We are seeking a Lead AI Engineer to design, build and scale cutting-edge AI applications powered by large language models. In this role, you will partner with clients to deliver tailored LLM-driven solutions, architect agentic systems and drive the adoption of emerging AI technologies across enterprise environments.
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, implement and maintain end-to-end AI applications, including chatbots, Q&A platforms, agent workflows and other LLM-driven solutions
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Collaborate directly with clients to understand their needs, identify opportunities and recommend tailored AI/LLM solutions that drive business value
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Architect and optimize robust data pipelines, prompt strategies and datasets to ensure effective, accurate and scalable AI models
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Evaluate, monitor and refine AI system performance, ensure outputs are accurate, secure, scalable and compliant with industry regulations and best practices
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Conduct research, design experiments and perform rapid prototyping to validate technical feasibility and demonstrate the business value of AI solutions
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Stay current with evolving LLM technologies, frameworks, protocols (such as MCP, A2A, ACP) and methodologies, continuously improve solution quality and client outcomes
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Design and implement agentic systems with frameworks such as LangChain, LangGraph and Semantic Kernel, integrate with vector databases and advanced memory architectures
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Develop and maintain APIs and system integrations for production-grade AI applications, including enterprise system integration (CRM, ERP, databases)
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Deploy AI solutions at scale, consider performance, cost-efficiency, maintainability, observability and security (including guardrails and prompt injection prevention)
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Implement and monitor retrieval systems (keyword search, vector search, embeddings), ranking algorithms and agent evaluation frameworks
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Use MLOps/AIOps practices for agentic systems and ensure robust observability and monitoring of deployed solutions
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Clearly communicate complex technical concepts and AI strategies to both technical and non-technical stakeholders, iterate on models based on user feedback
Requirements
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Strong proficiency in at least one modern programming language (such as Python, Java, C#, Go, etc.); experience with web frameworks like FastAPI or similar is a plus
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Deep understanding of the AI application development lifecycle, including production deployment, system integration and rapid UI prototyping (Streamlit, Gradio or similar)
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Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (LangChain, LangGraph, LlamaIndex, Strands Agents, etc.)
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Knowledge of advanced AI integration patterns (e.g., RAG, agent orchestration, tool calling), retrieval systems (keyword/vector search, embeddings) and ranking algorithms
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Experience to deploy AI solutions at scale, with a focus on performance, cost-efficiency, maintainability, observability and security (including guardrails and prompt injection prevention)
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Proven ability to evaluate generative AI quality with retrieval/classification scores, LLM-based evaluation, agent evaluation metrics and A/B testing
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Experience with vector databases (Pinecone, Weaviate, ChromaDB, FAISS) and semantic/hybrid search
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Experience to design experiments, conduct A/B tests and iterate on models based on user feedback
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Experience with enterprise system integration (CRM, ERP, databases) and deployment to cloud AI platforms or on-premise solutions
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Experience with observability and monitoring tools/frameworks, and application of MLOps/AIOps practices for agentic systems
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Familiarity with emerging protocols (MCP, A2A, ACP) and advanced memory architectures
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Proven experience in AI engineering and delivery of ML-based solutions in production environments
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Strong problem-solving skills, attention to detail and ability to work independently and collaboratively
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Excellent communication, collaboration and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders
Technologies
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Proficiency in at least one modern programming language (e.g., Python, Java, C#, Go, etc.) for AI development
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Web frameworks: FastAPI, Streamlit, Gradio, Flask, Spring Boot, ASP.NET or similar
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Major LLM platforms and APIs: OpenAI, Anthropic, Amazon Bedrock, Gemini
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Agentic frameworks: LangChain, LangGraph, Semantic Kernel, LlamaIndex, Strands Agents
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Data pipeline and integration tools
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Vector databases: Qdrant, FAISS, Chroma, Pinecone, Weaviate, ChromaDB
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Retrieval and ranking systems: keyword search, vector search, embeddings, ranking algorithms
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Cloud AI platforms: Azure OpenAI, Amazon Bedrock, GCP Vertex AI
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On-premise solutions: vLLM
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Enterprise AI platforms: AWS AgentCore, Databricks AgentBricks, Google Agents Space, Azure AI Foundry
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Observability and monitoring tools/frameworks
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MLOps/AIOps practices for agentic systems
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Security and guardrail tools for AI applications
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Protocols: MCP, A2A, ACP
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Advanced memory architectures
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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