AIML Software Developer RAG
Kloud Hire
RemoteRemote OKContract$140k – $220k / year
About this role
AIML Software Developer RAG - Kloud Hire
AIML Software Developer RAG
AIML Software Developer RAG
Texas, TX (On-Site)
Job Description:
Job Title: AI/ML Software Developer – RAG Location: Austin, TX (Hybrid) Work Type: Contract (C2C) Experience Required: 15+ Years (Senior Level Only) Interview Mode: In-Person Only (No Exceptions) Work Schedule: Hybrid Role 3 Days Remote, 2 Days Onsite (Monday & Thursday Mandatory) Important Notes: Only LOCAL candidates (Austin Metro Area) Out-of-state candidates NOT allowed Candidates must already be residing in Texas No relocation candidates Job Summary: We are seeking a highly experienced AI/ML Software Developer specializing in Retrieval-Augmented Generation (RAG) and agentic AI systems. The candidate will design, develop, and deploy AI-driven autonomous solutions to improve productivity, automate workflows, and support intelligent decision-making with a strong focus on governance, security, and cost efficiency. Key Responsibilities: Design and develop AI-driven agentic workflows and autonomous systems Build and implement RAG architectures using vector databases Develop, test, and deploy scalable AI/ML solutions Collaborate with developers, UX designers, and business analysts Implement AI governance, safety controls, and content filtering Optimize LLM performance, token usage, and cost efficiency Ensure secure data handling (PII/PHI compliance) Integrate LLMs via APIs and enterprise systems Required Skills: Strong experience in AI/ML engineering or advanced data science Proven experience building production-grade autonomous agents Expertise in context engineering Hands-on experience with: LangChain LangGraph CrewAI AutoGPT Experience with RAG architectures & vector databases Strong Python programming skills Experience with AI/ML libraries: OpenAI Hugging Face Azure AI Experience integrating LLMs via APIs Knowledge of AI governance and model lifecycle management Experience implementing Model Context Protocol (MCP)