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EPAM
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Lead AI/ML Developer

EPAMMexico; Colombia; Chile; Argentina
Work model
Remote
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
24 tags

Technology context

24

Parsed from the vacancy text; ordered by relevance to this role.

AILLMAWSGenAIDatabasesMachine LearningAzurePythonRAGNLPAgentic WorkflowsAI Solution EngineeringAmazon Bedrock AgentCoreAmazon SageMakerAmazon TranscribeAWS LambdaGenerative AI OperationsLangChainLangChain for JavaScriptLangChain4jlangchainrbLlamaIndexLLM evaluationPrompt Engineering

Full listing

Role description

We are looking for a Lead AI/ML Developer to deliver an AI-driven post-call compliance review using LLM reasoning over call transcripts. You will shape NLP/GenAI pipelines, agentic prompt/workflow patterns, and robust evaluation while integrating securely on AWS.

Responsibilities

  • Architect and implement LLM/NLP pipelines for transcript analysis, compliance checks, and generating scores with rationales
  • Develop automated evaluation frameworks for quality, hallucination risk, and consistency, then iterate rapidly based on results
  • Establish secure AWS-based deployments with logging, monitoring, and governance-friendly workflows
  • Partner with stakeholders to translate compliance rubrics into clear, actionable model behaviors

Requirements

  • Proven track record with 5+ years of software development focused on AI/ML solutions
  • Deep expertise in Generative AI (LLMs) and Natural Language Processing (NLP)
  • High proficiency in Python for building and iterating AI workflows
  • Hands-on knowledge of AWS AI/ML Services for production integrations
  • Solid background in MLOps practices for deploying and operating models
  • Working familiarity with Microsoft Azure
  • English proficiency at B2 (Upper-Intermediate) level or higher

Nice to have

  • Familiarity with Amazon Bedrock, Amazon SageMaker, and AWS Lambda
  • Experience with LangChain and LlamaIndex for AI/agentic workflows
  • Knowledge of RAG (Retrieval-Augmented Generation), Vector Databases (OpenSearch / pgvector), and Prompt Engineering
  • Experience in LLM Evaluation (RAGAS / DeepEval) and PII Redaction
  • Familiarity with Amazon Transcribe and Life Sciences / GxP Compliance