AI/ML Software Developer (LLMs & Autonomous Agents)

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AI/ML Software Developer (LLMs & Autonomous Agents)

(Austin, TX Hybrid)

We are seeking an experienced Software Developer with a strong background in AI/ML engineering and large language model (LLM) applications. This role will focus on designing, building, and deploying intelligent systems, including autonomous agents and advanced AI-driven solutions.

This is a hands-on opportunity to work with cutting-edge technologies in a fast-evolving space, contributing to scalable and secure AI implementations.

Key Responsibilities:

• Design, build, and deploy AI/ML solutions, including LLM-based applications and autonomous agents
• Develop and implement Retrieval-Augmented Generation (RAG) architectures
• Integrate LLMs into applications using APIs and modern AI frameworks
• Build and optimize multi-agent or agentic workflows
• Ensure secure handling of sensitive data and implement AI governance practices
• Develop context-aware systems and enhance model performance and accuracy
• Implement AI safety controls, guardrails, and content filtering mechanisms
• Collaborate with cross-functional teams to deliver scalable AI solutions
  
  

Required Qualifications:

• 4 years of experience in AI/ML engineering or advanced data science
• 4 years of experience building and deploying production-grade autonomous agents
• 4 years of experience in context engineering
• 4 years of experience with frameworks such as LangChain, LangGraph, CrewAI, or AutoGPT
• 4 years of experience implementing RAG architectures using vector databases
• 4 years of proficiency in Python and AI/ML libraries (e.g., OpenAI, Hugging Face, Azure AI)
• 4 years of experience integrating LLMs via APIs and working with model lifecycle management
• 4 years of experience implementing Model Context Protocol (MCP) or similar approaches for secure data access
• 4 years of experience implementing AI guardrails, content filtering, and safety controls
• 4 years of understanding data privacy and handling of sensitive data (PII/PHI)
  
  

Preferred Qualifications:

• 2 years of experience building multi-agent or autonomous agent workflows
• 2 years of experience optimizing LLM cost, token usage, and performance
• 2 years of familiarity with enterprise AI deployment and scalability considerations
  
  

Additional Details:

• Location: Austin, TX (Hybrid work environment)
• Schedule: Monday Friday, standard business hours
• Engagement expected through August 2026, with potential for extension
  
  

Requirements:

• Must be authorized to work in the U.S. without sponsorship
• W2 employment only (no C2C or third-party arrangements)
• Candidates must be local to the Austin, TX area
  
  

Why This Role:

• Work on cutting-edge AI/LLM technologies and real-world applications
• Opportunity to build autonomous systems and next-generation AI solutions
• Collaborative, forward-thinking technical environment
  
  

Important Note:

Candidates should clearly reflect years of experience for each required skill on their resume to ensure accurate consideration.