Machine Learning Engineer

Overview

Allied Consultants, Inc is a proudly Austin based firm with over 34 years of experience delivering top-tier technical and business professionals within Texas State Agencies. We are currently seeking an experience Machine Learning Engineer to play a key role within a high-impact technical services team.

 

At Allied Consultants, we value our consultants and are committed to providing an exceptional experience including:

• Highly competitive pay rates
• Local support staff for responsive, personal service
• Comprehensive benefits package, including:
  • Medical insurance (with employer cost sharing)
  • Life insurance
  • A 401(K) plan with company match
  • Flexible spending through a cafeteria plan

Candidates selected for interviews will be subject to a criminal background check and may be required to pass a drug screening, in compliance with federal and state regulations. All offers of employment are contingent upon successful completion of these checks.

 

Allied Consultants is a proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Responsibilities

Level Description

4-7 years of experience in the field or in a related area. Familiar with standard concepts, practices, and procedures within a particular field. Relies on limited experience and judgment to plan and accomplish goals. A certain degree of creativity and latitude is required. Works under limited supervision with considerable latitude for the use of initiative and independent judgment.

Job Description

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

Additional job details and special considerations

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

Qualifications

Minimum Requirements:Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

4

Required

experience in AI/ML engineering or advanced data science

4

Required

Proven track record of building and deploying production-grade autonomous agents.

4

Required

Strong experience in context engineering

4

Required

Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.

4

Required

Experience implementing RAG architectures using vector databases

4

Required

Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)

4

Required

Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation

4

Required

Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources Experience implementing AI guardrails, content filtering, and safety controls

4

Required

Understanding of data privacy and handling of sensitive data (PII/PHI)

2

Preferred

Experience building multi-agent or autonomous agentic workflows

2

Preferred

Experience optimizing LLM cost, token usage, and performance

2

Preferred

Familiarity with enterprise AI deployment patterns and scalability considerations