Jobs via Dice

Jobs via Dice

Senior AI/ML Software Developer

Role

Senior AI/ML Software Developer

Job type

Full-time

Posted

3 days ago

Salary

Not disclosed by employer

Job description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Asterism IT Solutions, is seeking the following. Apply via Dice today!

Senior AI/ML Software Developer

Location : Austin Texas ( HYBRID - ONSITE Role )

NOTE : Only Senior Level Experienced Candidates Workable

Overall IT Experience : Minimum 15+ Years

ONLY LOCAL CANDIDATES

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.

Ii. Candidate Skills And Qualifications

Minimum Requirements

experience in AI/ML engineering or advanced data science

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

Strong experience in context engineering

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

Experience implementing RAG architectures using vector databases

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

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

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

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

Experience building multi-agent or autonomous agentic workflows

Experience optimizing LLM cost, token usage, and performance

Familiarity with enterprise AI deployment patterns and scalability considerations

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