job summary:
We are seeking an AI/ML Engineer to design and build cutting-edge autonomous agent solutions powered by LLMs and RAG architectures. This role focuses on developing scalable, production-grade AI applications that drive automation, enhance decision-making, and improve operational efficiency. You will work hands-on with modern AI frameworks and collaborate across teams to deliver secure, high-impact solutions in a fast-paced environment.
location: Austin, Texas
job type: Contract
salary: $68 - 73 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
Job Responsibilities
- Design, build, and deploy AI-driven applications and autonomous agent solutions
- Develop and optimize RAG (Retrieval-Augmented Generation) systems using vector databases
- Build and manage agentic workflows using frameworks like LangChain, LangGraph, CrewAI, or AutoGPT
- Integrate large language models (LLMs) via APIs (OpenAI, Hugging Face, Azure AI, etc.)
- Implement context engineering strategies to improve model accuracy and performance
- Develop secure, scalable solutions with strong governance, safety, and cost efficiency
- Implement AI guardrails, content filtering, and data protection controls
- Enable secure data access using Model Context Protocol (MCP) or similar approaches
- Collaborate with cross-functional teams (engineering, UX, business) to deliver solutions
- Test, evaluate, and continuously improve AI models and application performance
qualifications:
Qualifications:
- 4+ years of experience in AI/ML engineering or advanced data science
- Proven experience building and deploying production-grade autonomous agents
- Strong experience with LLMs and context engineering
- Hands-on experience with frameworks such as LangChain, LangGraph, CrewAI, or AutoGPT
- Experience implementing RAG architectures with vector databases
- Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI, etc.)
- Experience integrating LLMs via APIs
- Knowledge of AI governance, model lifecycle management, and evaluation
- Experience implementing AI guardrails, content filtering, and safety controls
- Understanding of data privacy and handling sensitive data (PII/PHI)
Nice to Have:
- Experience building multi-agent or autonomous workflows
- Experience optimizing LLM cost, token usage, and performance
- Familiarity with enterprise AI deployment and scalability patterns
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
![]()
Never miss an opportunity! Create an alert based on the job you applied for.
