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.

Responsibilities Design, implement and maintain end-to-end AI applications, including chatbots, Q&A; platforms, agent workflows and other LLM-driven solutions

Collaborate directly with clients to understand their needs, identify opportunities and recommend tailored AI/LLM solutions that drive business value

Architect and optimize robust data pipelines, prompt strategies and datasets to ensure effective, accurate and scalable AI models

Evaluate, monitor and refine AI system performance, ensure outputs are accurate, secure, scalable and compliant with industry regulations and best practices

Conduct research, design experiments and perform rapid prototyping to validate technical feasibility and demonstrate the business value of AI solutions

Stay current with evolving LLM technologies, frameworks, protocols (such as MCP, A2A, ACP) and methodologies, continuously improve solution quality and client outcomes

Design and implement agentic systems with frameworks such as LangChain, LangGraph and Semantic Kernel, integrate with vector databases and advanced memory architectures

Develop and maintain APIs and system integrations for production-grade AI applications, including enterprise system integration (CRM, ERP, databases)

Deploy AI solutions at scale, consider performance, cost-efficiency, maintainability, observability and security (including guardrails and prompt injection prevention)

Implement and monitor retrieval systems (keyword search, vector search, embeddings), ranking algorithms and agent evaluation frameworks

Use MLOps/AIOps practices for agentic systems and ensure robust observability and monitoring of deployed solutions

Clearly communicate complex technical concepts and AI strategies to both technical and non-technical stakeholders, iterate on models based on user feedback Requirements 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

Deep understanding of the AI application development lifecycle, including production deployment,



system integration and rapid UI prototyping (Streamlit, Gradio or similar)

Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (LangChain, LangGraph, LlamaIndex, Strands Agents, etc.)

Knowledge of advanced AI integration patterns (e.g., RAG, agent orchestration, tool calling), retrieval systems (keyword/vector search, embeddings) and ranking algorithms

Experience to deploy AI solutions at scale, with a focus on performance, cost-efficiency, maintainability, observability and security (including guardrails and prompt injection prevention)

Proven ability to evaluate generative AI quality with retrieval/classification scores, LLM-based evaluation, agent evaluation metrics and A/B testing

Experience with vector databases (Pinecone, Weaviate, ChromaDB, FAISS) and semantic/hybrid search

Experience to design experiments, conduct A/B tests and iterate on models based on user feedback

Experience with enterprise system integration (CRM, ERP, databases) and deployment to cloud AI platforms or on-premise solutions

Experience with observability and monitoring tools/frameworks, and application of MLOps/AIOps practices for agentic systems

Familiarity with emerging protocols (MCP, A2A, ACP) and advanced memory architectures

Proven experience in AI engineering and delivery of ML-based solutions in production environments

Strong problem-solving skills, attention to detail and ability to work independently and collaboratively

Excellent communication, collaboration and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders Technologies Proficiency in at least one modern programming language (e.g., Python, Java, C#, Go, etc.) for AI development

Web frameworks: FastAPI, Streamlit, Gradio, Flask, Spring Boot, ASP.NET or similar

Major LLM platforms and APIs: OpenAI, Anthropic, Amazon Bedrock, Gemini

Agentic frameworks: LangChain, LangGraph, Semantic Kernel, LlamaIndex,



Strands Agents

Data pipeline and integration tools

Vector databases: Qdrant, FAISS, Chroma, Pinecone, Weaviate, ChromaDB

Retrieval and ranking systems: keyword search, vector search, embeddings, ranking algorithms

Cloud AI platforms: Azure OpenAI, Amazon Bedrock, GCP Vertex AI

On-premise solutions: vLLM

Enterprise AI platforms: AWS AgentCore, Databricks AgentBricks, Google Agents Space, Azure AI Foundry

Observability and monitoring tools/frameworks

MLOps/AIOps practices for agentic systems

Security and guardrail tools for AI applications

Protocols: MCP, A2A, ACP

Advanced memory architectures We offer Improved medical coverage - EPAMers are eligible to participate in a supplementary health insurance program that shall have the usual coverage in the industry, with the Company funding 100% of the value of the monthly premium for participation

Lunch Allowance - You will receive a daily allowance of CLP $ 7,000 per working day. Enjoy a nice meal on us

Allowance for internet and electricity - You will receive an allowance of CLP $15,000 per month to cover internet and electricity expense

National Holiday Bonus - We celebrate joining the Chilean Market. That is why all our employees will receive a bonus of CLP $86,646 in September

Christmas Bonus - You will receive an End of Year bonus of CLP $170,539. It will be paid during the month of December, to ensure you have a Happy Holiday!

Learning Culture - We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally

Additional Income - Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways

Are you open to relocation?

- If you want to relocate to another country and we have the right project, we will assist you every step of the way, to help you and your family, reach your new home EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

📌 Lead AI Engineer (Chile)
🏢 EPAM Systems
📍 Chile