AI Engineer

Overview

On Site
55
Contract - W2
Contract - 6 Month(s)
100% Travel
Unable to Provide Sponsorship

Skills

LangChain
Amazon DynamoDB
Amazon Web Services
Amazon S3
Microsoft Azure
Microsoft SQL Server
MySQL
NumPy
Pandas
Orchestration
PostgreSQL
Python
SQL
Workflow
Artificial Intelligence
Database
AI Engineer
AI Agent
LLM
Vertex AI
Azure OpenAI
AWS Bedrock
LangGraph

Job Details

Title: AI Engineer

Location: Onsite – Westlake Village, CA

Duration: 6+ Months Contract

GCEAD, TN Only

Video Interview

 

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Job Description

Must Have Hands-on Experience:

  • AI Agents & Multi-Agent Systems
  • LLM Fine-Tuning & Model Development
  • AWS Bedrock / Google Vertex AI / Azure OpenAI
  • LangChain / LangGraph / Agentic Workflow Tools
  • Python (NumPy, Pandas)
  • DynamoDB, S3, Postgres, SQL Server
  • Vector Databases: Pinecone, Weaviate, ChromaDB

Must-Have Skill Set:

  • Strong experience designing & implementing AI agentic systems
  • Expertise in Large Language Models (LLMs) and fine-tuning
  • Hands-on with AWS Bedrock, Vertex AI, Azure OpenAI
  • Skilled in A2A, ADK, LangChain, LangGraph
  • Strong Python programming
  • Knowledge of structured/unstructured data workflows
  • Experience with vector databases for agent memory
  • Ability to lead, mentor, and collaborate with cross-functional teams

Must-Have Keywords in Resume:

AI Engineer, AI Agents, Multi-Agent Systems, LLM, Large Language Models, Fine-Tuning, AWS Bedrock, Vertex AI, Azure OpenAI, LangChain, LangGraph, Agentic AI, Python, NumPy, Pandas, DynamoDB, S3, Postgres, SQL Server, MySQL, Pinecone, Weaviate, ChromaDB, Vector Databases, AI Orchestration, A2A, ADK.

Job Description (Short Summary):

Hiring an AI Engineer with strong hands-on experience in AI agent development, LLM fine-tuning, and building scalable agentic systems using AWS Bedrock, Vertex AI, and Azure OpenAI. Candidate must be proficient in Python and vector databases, and skilled in tools like LangChain and LangGraph. Responsibilities include designing end-to-end agentic workflows, deploying solutions at scale, mentoring engineers, and collaborating with business & technical teams.

 

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.

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