AI/ML Engineer

• Posted 3 days ago • Updated 6 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Research
  • Management
  • Testing
  • User Experience
  • Productivity
  • Decision-making
  • FOCUS
  • Data Science
  • LangChain
  • Vector Databases
  • Python
  • Machine Learning (ML)
  • Microsoft Azure
  • Lifecycle Management
  • Privacy
  • Workflow
  • Optimization
  • Performance Tuning
  • Artificial Intelligence
  • Scalability

Summary

Job Title: AI/ML Engineer

Duration: 4 Months

Location: Austin, TX

Job Summary:

Researching, designing, implementing and managing software programs. Testing and evaluating new programs. Working closely with other developers, UX designers, business and systems analysts.

Key responsibilities:

AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and support intelligent decision-making with a focus on governance, security, and cost efficiency

Required Skills
  • 4 years of experience required in AI ML engineering and advanced data science
  • 4 years of experience required in building and deploying production grade autonomous agents
  • 4 years of experience required in strong context engineering expertise
  • 4 years of experience required in experience with LangChain LangGraph CrewAI or AutoGPT
  • 4 years of experience required in RAG architecture implementation using vector databases
  • 4 years of experience required in Python and AI ML libraries OpenAI Hugging Face Azure AI
  • 4 years of experience required in LLM integration via APIs with governance and lifecycle management
  • 4 years of experience required in Model Context Protocol implementation and secure data access
  • 4 years of experience required in AI guardrails content filtering and safety controls
  • 4 years of experience required in data privacy and handling of sensitive data PII PHI

Preferred Skills:
  • 2 years of experience preferred in building multi agent and autonomous workflows
  • 2 years of experience preferred in LLM cost optimization token usage and performance tuning
  • 2 years of experience preferred in enterprise AI deployment patterns and scalability understanding
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: RTL939169
  • Position Id: bf71e9e527dbb24ccd6e183745b3bd3f
  • Posted 3 days ago
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