Gen AI Business Analyst with Scrum (Remote Role)

We are looking for a skilled GenAI Lead Developer to design, develop, and implement Generative AI solutions. The ideal candidate should have strong experience in AI/ML, LLMs, and modern frameworks, along with leadership capabilities to guide the team. Key Responsibilities:Lead the design and development of Generative AI applicationsWork with Large Language Models (LLMs) like OpenAI, Llama, etc.Build and optimize AI pipelines using PythonCollaborate with business and technical teams to understand

Title: Lead AI/ML Architect (Gen AI) Location: Remote Duration: Long Term Contract Keynote : (Must-Have Very Strong Requirement) Candidate must have very strong, hands-on experience in both Machine Learning AND Generative AI (LLMs). Should not be limited to theoretical knowledge must have built and deployed real-world ML models and GenAI applications in production. Strong expertise in end-to-end ML lifecycle + LLM-based solution design (RAG, prompt engineering, fine-tuning). Profiles with only

Sr Staff Agentic AI EngineerRemote, USAClassification: Contract-to-hire Position SummaryThe Sr Staff Agentic AI Engineer will be part of the team in Nashville, TN or Remotely. As a Sr Staff Agentic AI Engineer, you will be at the forefront of this mission, providing crucial engineering leadership in the application of advanced Generative AI. This is not just a software engineering role; it is an opportunity to revolutionize healthcare by designing and implementing cutting-edge AI solutions. You

Responsibilities: Gather and document business requirementsWork with Scrum teams to support sprint planning and executionCreate user stories and acceptance criteriaParticipate in daily stand-ups, sprint reviews, and retrospectivesAssist in testing and validation of developed featuresCommunicate effectively with stakeholders and team membersRequired Skills: Basic understanding of Agile/Scrum methodologyStrong communication and analytical skillsKnowledge of SDLC conceptsFamiliarity with tools like