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Lead AI Developer

Tecnología
Coforge
Ciudad De México, MéxicoHace 1 mesesHasta 13/5/2026
Tiempo completo

Descripción del puesto

Job Title / Role: AI Lead Developer

Key Skills: Open AI, LangChain, LangGraph, ADO

Experience: 10+ Years

Location: Mexico City, MX

Shift: General shift

Mode: Remote

We at Coforge are seeking “AI Lead Developer” with the following skill-set:

Key Responsibilities

Technical Development (60%)

  • Design and implement AI-powered solutions including chatbots, agents, and automation workflows using Cursor, Python, OutSystems and modern AI frameworks
  • Build and deploy production-grade AI systems leveraging LLMs (OpenAI, Anthropic Claude, open-source models)
  • Develop workflow-to-agent conversion systems with subagent architectures using AI Mentor, LangChain, LangGraph, or similar frameworks
  • Implement fine-tuning strategies and vector database solutions to optimize AI response quality and reduce token costs
  • Create and maintain enterprise MCP (Model Context Protocol) integrations and orchestration systems
  • Build data pipelines and integrations with enterprise systems (ADO, Confluence, GitHub, internal APIs)
  • Write clean, maintainable, production-quality code following best practices and design patterns
AI Systems & Architecture (25%)
  • Contribute to system design discussions and architectural decisions for AI initiatives
  • Implement RAG (Retrieval-Augmented Generation) pipelines with vector databases (Pinecone, Chroma, PGVector, etc.)
  • Ensure AI solutions are scalable, secure, and compliant with enterprise standards
  • Participate in code reviews and provide technical guidance to ensure quality
Collaboration & Enablement (15%)
  • Work closely with Business Analysts to implement KPI tracking and ROI measurement frameworks
  • Partner with cross-functional teams to identify automation opportunities and translate requirements into technical solutions
  • Support AI tool adoption initiatives across the organization
  • Mentor intermediate developers on AI best practices and implementation techniques
  • Document technical implementations, workflows, and integration patterns
Key Projects:
  • Unit test agent for Test Driven Development
  • Consumer IT chatbot with ADO/Confluence knowledge base integration
  • Note-taker agent for meeting and email aggregation across projects
  • Automated data mapping agent leveraging GitHub integrations
  • Workflow automation conversions using intelligent agents
  • Knowledge store optimization and fine-tuning implementations
Required Skills:
  • Strong Python development experience
  • Deep understanding of AI/ML fundamentals (LLMs, embeddings, vector databases, prompt engineering)
  • Experience with AI frameworks: LangChain, LangGraph, or similar
  • Familiarity with vector databases and RAG architecture patterns
  • RESTful API development and integration experience
  • Understanding of MLOps practices (Docker, CI/CD, testing, monitoring)
  • Can independently own features from requirements through deployment
  • Strong problem-solving and debugging skills
Nice to Have:
  • Experience with OpenAI, Anthropic (Claude), or AWS Bedrock models
  • Knowledge of enterprise software development in regulated industries (financial services, healthcare)
  • Familiarity with Azure or AWS cloud platforms
  • Experience with agent orchestration and multi-agent systems
  • Background in data engineering or ETL processes

Education

  • Any Degree
Keywords
monthsOfExperience: 120OrchestrationOCamlAccess tokenCursorPythonUnit TestingCI / CDBedrockDebuggerTest-driven developmentAWSDockerGithubDebuggingCI/CD

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