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Generative AI Engineer

hace 2 semanas

Ciudad de México, Ciudad de México Orion Innovation A tiempo completo

About the Role

We are seeking an experienced and forward-thinking
AI Lead Engineer
to join our AI Ops delivery team. In this role, you will lead the design, development, and delivery of
GenAI-powered agentic systems
that automate complex business processes across domains such as HR, Payroll, SAP, and Client Delivery. This role combines deep hands-on engineering with architectural ownership and close collaboration with product managers and domain experts.

Key Responsibilities

  • Own the
    technical design and architecture
    of GenAI agent workflows within the Business Pod
  • Serve as a
    hands-on developer
    , actively contributing to the design, coding, and delivery of production-grade agents and tools
  • Lead
    code and design reviews
    , ensuring alignment with architectural standards and platform best practices
  • Collaborate with the
    AI Ops Core Pod
    to adopt and influence reusable assets, frameworks, and integration patterns
  • Design and implement
    LLM-powered agent workflows
    using frameworks such as LangChain, LangGraph, or CrewAI
  • Develop
    prompt chains
    , agent tools, and custom modules that support reasoning, summarization, and multi-step task execution
  • Integrate agents with
    enterprise systems
    (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues
  • Build and manage
    agent lifecycle components
    , including initialization, memory/state handling, and fallback logic
  • Implement and consume
    vector store integrations
    , prompt templates, and retrieval-augmented generation (RAG) techniques
  • Ensure workflows are
    robust, secure, and observable
    , with proper logging, monitoring, and exception handling
  • Partner with Product Managers, SMEs, and QA to
    translate business processes into agentic workflows
    and iterate based on feedback
  • Contribute to the
    automation of testing, deployment, and validation pipelines
    for AI agents
  • Maintain thorough
    documentation of agent behavior, design decisions, and integration logic
    for operational readiness and knowledge transfer

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
  • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions
  • Strong proficiency in
    Python
    , with hands-on experience using
    FastAPI
    , REST APIs, and background task orchestration
  • Deep familiarity with
    agentic frameworks
    such as
    LangChain
    ,
    LangGraph
    ,
    CrewAI
    ,
    ReAct
    , or similar
  • Understanding of
    LLM orchestration
    , including prompt design, tool usage, context management, and agent memory
  • Experience integrating with
    enterprise systems
    via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks
  • Solid foundation in
    distributed system design
    , including state management, retries, error handling, and resilience
  • Experience with
    business process automation
    or workflow automation in real-world environments
  • Comfortable working with
    SQL/NoSQL databases
    , including data modeling and validation
  • Knowledge of
    containerization
    (Docker),
    orchestration platforms
    (Kubernetes), and deployment to
    cloud platforms
    (Azure, AWS, or GCP)
  • Understanding of
    security concepts
    including authentication (OAuth2), authorization, and secure API integration
  • Exposure to
    multi-agent patterns
    (e.g., supervisor-worker, planner-executor, judge-critic) is a strong plus

Nice to Have

  • Contributions to open-source agent frameworks or AI tooling.
  • Experience working with observability and monitoring tools to track agent performance.
  • Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.