Data Science AI Engineer

• Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field. • 6 plus years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions. • Experienced in multiple LLM fine tuning techniques. • Experienced in building GEN AI solutions using RAG architecture. • Skilled in both Lang Chain and Lang Graph. • Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. • Experienced in multiple Vector Databases as well as Graph Database • Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. • Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. • Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments. • Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases). • Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. • Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. • Understanding of business use cases, strong interpersonal skills, architecting skills and abilities to convince multiple stakeholders. • Front End Development – Stream lit is a must. Good to have React, Angular or Vue.js • Leadership Skills – Should be able to work as a team lead, interface with team leads of other functions/departments, understand business requirements and translate the same to an appropriate solution that is feasible to develop and deploy.

• Fully Remote Opportunity – Work from anywhere in the US • Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.