Data Science / Machine Learning Austin, TX / Raleigh, NC (Hybrid 3 Days Onsite) only on w2 USC

Position: Applied AI Developer Duration: 12+ months contract Location: Austin, TX / Palo Alto, CA / Reston, VA / Seattle, WA / NYC, NY (Hybrid 3 days onsite a week) JOB DESCRIPTION SKILLS NEEDED :python, LangGraph, LangSmith, REST, GraphQL Job Responsibilities: Think AI-first assess where agentic approaches genuinely outperform conventional solutions, then own the quality bar: build automated evals, simulation tests, and regression frameworks that keep our AI systems reliable and improving

LPL financial Role Overview We are seeking a highly hands-on AI Engineering leader with deep expertise in Generative AI, Agentic systems, and production-grade AI platforms. This role is not a pure management role the ideal candidate will actively design, build, and scale AI systems (RAG, agents, evaluation frameworks) while leading engineering initiatives and influencing platform strategy. The candidate must demonstrate strong AI + AWS cloud expertise, with proven experience delivering enterpris

Job Title/Role: Senior MLOps Technical Lead Location: Cupertino, CA/ Austin, TX Onsite Mandatory Objective: Build intelligent, data-driven platform. The focus is to support the development of next-generation test analytics and test agents that enable faster insights, improved diagnostics, and scalable infrastructure for Generative AI systems connecting test stations, line level data and pipelines . You will build automated evaluation tools, and conduct rigorous statistical analyses to ensure the

Software Engineer - AI Developer - Java/Spring W2 candidates only ** Onsite in Austin or Southlake 4 x weekly** Contract to hire Job Description: Your Opportunity: At Client, you re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. Join us for significant technical transformation in Broker-Dealer Systems and the modernization of our core technology infrastructure