Gen AI Developer

Hybrid in Irving, TX, US • Posted 5 hours ago • Updated 5 hours ago
Contract Independent
Contract W2
6 Months
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Python
  • LangChain
  • LlamaIndex
  • OpenAI
  • TensorFlow

Summary

Key Responsibilities:
AI Agent Development: Build and orchestrate AI agents using frameworks like LangChain, AutoGen, or CrewAI, implementing self-healing workflows (e.g., Act-Verify-Refine loops).
LLM Integration & Backend: Develop robust backend systems using Python and TypeScript, integrating LLMs into microservices architectures.
Data Management for LLMs: Utilize vector databases (Pinecone, Milvus, Weaviate) for agent memory and architect Retrieval-Augmented Generation (RAG) pipelines to enhance LLM accuracy and contextual understanding.
Prompt Engineering: Design and optimize prompt strategies, including automated evaluation frameworks, for high-quality LLM output.
Context Engineering: Manage LLM information ecosystems, including system prompts, RAG implementation, and conversation history.
MLOps & Deployment: Oversee the end-to-end lifecycle of generative models, focusing on inference speed, cost-efficiency, and scalability on cloud platforms (AWS, Google Cloud Platform, Azure).
AI Ethics & Compliance: Ensure adherence to security standards, IP regulations, and safety guidelines for all generative models.
Tool Orchestration: Define and manage the API/tool access for AI agents to optimize accuracy.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: tsrny
  • Position Id: 8977610
  • Posted 5 hours ago
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AM

Anji Mada

Recruiter @ TSR Consulting Services, Inc.
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