AI/ML Software Developer

Qualifications

• 4-7 years of experience in the field or in a related area

• Familiar with standard concepts, practices, and procedures within a particular field

• It relies on limited experience and judgment to plan and accomplish goals

• A certain degree of creativity and latitude is required

• Experience in AI/ML engineering or advanced data science

• Required 4 year

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

• Required 4 year

• Strong experience in context engineering

• Required 4 year

• Experience implementing RAG architectures using vector databases

• Required 4 year

• Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI) Required 4 year

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

• Required 4 year

• Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources

• Required 4 year

• Experience implementing AI guardrails, content filtering, and safety control

• Required 4 year

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

• Required 4 year

• Experience building multi-agent or autonomous agentic workflows

• 19 more items(s)

Responsibilities

• Works under limited supervision with considerable latitude for the use of initiative and independent judgment

• Researching, designing, implementing and managing software programs

• Testing and evaluating new programs

• Working closely with other developers, UX designers, business and systems analysts

• 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

• 2 more items(s)

More job highlights

Job description

Dice is the leading career destination for tech experts at every stage of their careers.

Our client, JSM Consulting, is seeking the following.

Apply via Dice today!

Position – AI/ML Engineer

Location - Austin, TX 78751

Position note- ONSITE/Hybrid at the location listed above (with some hybrid work – determined by the hiring manager).

The program will only accept LOCAL ONLY candidates for this ...position.

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.

• It 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.

Skill Matrix Required.

• Experience in AI/ML engineering or advanced data science.

Required 4 year

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

Required 4 year

• Strong experience in context engineering.

Required 4 year

• Experience implementing RAG architectures using vector databases.

Required 4 year

• Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI) Required 4 year

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

Required 4 year

• Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources.

Required 4 year

• Experience implementing AI guardrails, content filtering, and safety control.

Required 4 year

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

Required 4 year

• Experience building multi-agent or autonomous agentic workflows.

Preferred 2 year

• Experience optimizing LLM cost, token usage, and performance.

Preferred 2 year

• Familiarity with enterprise AI deployment patterns and scalability considerations. Preferred 2 year

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