Gen AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Gen AI Engineer, long-term contract, located in various cities across the U.S. Pay rate is open on C2C. Key skills include LLM frameworks, Python development, and experience with hyper-scaler AI services.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 13, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Austin, TX
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🧠 - Skills detailed
#Cloud #Model Evaluation #Azure #RDBMS (Relational Database Management System) #pydantic #SageMaker #FastAPI #AI (Artificial Intelligence) #Databases #Langchain #Python #Security
Role description
Job Title: Sr. GenAI Engineers
Location: Southfield, MI / Princeton, NJ / St. Louis, MO / SFO, Santa Clara, Mountain View CA, Austin, TX and Seattle, WA
Duration: Long Term
No of Positions: 2
Client: Direct
Rate: $Open/hr on C2C
Responsibilities:
Design and implement domain-specific AI agents (Planning, Architecture, Test, Security, Cloud, Ops).
Build multi-agent orchestration flows with LangChain/LangGraph/MCP.
Optimize prompt engineering, context windows, and chain-of-thought reasoning for reliability.
Productionize agents with evaluation, safety guardrails, and feedback loops.
Requirements:
Hands-on with LLM frameworks (LangChain, Semantic Kernel, Haystack).
Experience with Hyper-scaler AI services (SageMaker, Bedrock Agents, AgentCore, Vertex AI, AI Foundry, Azure OpenAI).
Development experience with Python (Pydantic, FastAPI)
Strong background in RAG pipelines, tool calling, and workflow orchestration.
Experience with Vector Databases and RDBMS
Knowledge of model evaluation, safety tuning, and fine-tuning techniques.
Experience in shipping production-grade AI agents, not just prototypes.
Preferred:
Experience in prompt security (injection prevention, data leakage controls).
Knowledge of model fine-tuning, evaluation, and optimization.
Job Title: Sr. GenAI Engineers
Location: Southfield, MI / Princeton, NJ / St. Louis, MO / SFO, Santa Clara, Mountain View CA, Austin, TX and Seattle, WA
Duration: Long Term
No of Positions: 2
Client: Direct
Rate: $Open/hr on C2C
Responsibilities:
Design and implement domain-specific AI agents (Planning, Architecture, Test, Security, Cloud, Ops).
Build multi-agent orchestration flows with LangChain/LangGraph/MCP.
Optimize prompt engineering, context windows, and chain-of-thought reasoning for reliability.
Productionize agents with evaluation, safety guardrails, and feedback loops.
Requirements:
Hands-on with LLM frameworks (LangChain, Semantic Kernel, Haystack).
Experience with Hyper-scaler AI services (SageMaker, Bedrock Agents, AgentCore, Vertex AI, AI Foundry, Azure OpenAI).
Development experience with Python (Pydantic, FastAPI)
Strong background in RAG pipelines, tool calling, and workflow orchestration.
Experience with Vector Databases and RDBMS
Knowledge of model evaluation, safety tuning, and fine-tuning techniques.
Experience in shipping production-grade AI agents, not just prototypes.
Preferred:
Experience in prompt security (injection prevention, data leakage controls).
Knowledge of model fine-tuning, evaluation, and optimization.
