Robotics technology LLC
Duncanville, TX
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Job Description :

Full job description

Key Responsibilities

  • Agent Logic & Tooling: Develop and maintain the backend "tools" (APIs, scrapers, database connectors) that AI agents use to perform tasks.
  • Orchestration Implementation: Use frameworks like LangChain, LangGraph, or CrewAI to implement complex reasoning chains and multi-agent coordination.
  • RAG Pipeline Engineering: Build and optimize data ingestion and retrieval systems using Vector Databases , ensuring the agent has the right context at the right time.
  • Asynchronous Task Management: Manage long-running AI reasoning cycles using asynchronous Python (FastAPI/Asyncio) and task queues like Celery or Redis.
  • API Architecture: Design and implement secure, high-performance REST or GraphQL APIs that serve as the interface between the agentic backend and the frontend.
  • Safety & Guardrails: Implement backend-level validation and guardrails to ensure that autonomous agent actions remain within secure and ethical boundaries.

Technical Requirements

  • Python Expertise: 8+ years of professional experience with Python , specifically with FastAPI, Pydantic, and Asyncio .
  • AI Frameworks: Hands-on experience with LangChain or LlamaIndex .
  • Database Management: Proficiency in PostgreSQL and experience with Vector Databases .
  • Cloud & DevOps: Experience deploying containerized applications using Docker and Kubernetes on AWS, Azure, or GCP.
  • Scalability: Understanding of distributed systems and how to handle the high latency and compute requirements of LLM-based applications.
  • Version Control: Mastery of Git and CI/CD best practices.

Preferred Qualifications

  • Knowledge of Prompt Engineering from a programmatic perspective (dynamic prompt templating).
  • Familiarity with observability tools for AI, such as LangSmith or Arize Phoenix .

             

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