AI/ML Engineer

Location: Austin, TX (onsite)

Type: Full-Time Job Description:

Key Responsibilities: Design, develop, and prototype AI/ML solutions and LLM-driven applications. Build applications integrating hosted and locally deployed Large Language Models (LLMs).Implement RAG, embeddings, vector search, context engineering, and graph-based retrieval approaches. Evaluate and benchmark foundation models, analyzing performance, accuracy, bias, and failure modes. Leverage AI frameworks, orchestration tools, and evaluation methodologies. Collaborate with cross-functional teams to translate business requirements into working prototypes. Document reusable engineering patterns, best practices, and technical findings. Provide technical guidance and mentorship to support AI engineering adoption.

Required Skills: Strong programming experience in Python and software development. Hands-on experience with LLMs, prompt engineering, and AI application development. Knowledge of RAG, embeddings, vector databases, and semantic search. Familiarity with frameworks such as LangChain, LangGraph, or LlamaIndex. Understanding of foundation model evaluation and data science fundamentals. Exposure to MCP, graph-based retrieval, and local LLM deployments.

Additional Expectations: Strong problem-solving and rapid prototyping mindset. Ability to work independently and collaboratively in a fast-paced environment. Excellent communication and stakeholder collaboration skills. Sustained onsite presence, active collaboration, and mentorship are integral to the role.