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The AI/ML Senior Developer/Team Lead will design, develop, and validate AI/ML solutions for US Healthcare customers. The role requires at least 5 years of hands-on programming experience, with a strong foundation in Python and SQL. The candidate will work closely with AI product managers and business stakeholders to understand the potential and limitations of AI in product planning. Responsibilities include building data transformation platforms, training models, and deploying solutions to production. A Bachelor’s degree in Computer Science is required, with a Master’s preferred.
Job Responsibility
Design, develop, and deploy scalable software solutions leveraging modern architectures and cloud platforms
Build and implement Agentic AI systems (LLM-based autonomous agents, multi-agent frameworks, orchestration workflows) to automate complex business processes
Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
Experience with traditional ML (classification, regression, NLP, time-series)
Develop and maintain data engineering pipelines (ETL/ELT) for structured and unstructured data across enterprise systems
Integrate AI models (LLMs, NLP, GenAI) into applications using tools such as Azure OpenAI, LangChain, Semantic Kernel, or similar frameworks
Architect data platforms supporting real-time and batch processing using technologies like Spark, Databricks, or cloud-native services
Collaborate with cross-functional teams to deliver client demos, POCs, and production-ready solutions
Ensure data quality, governance, and security across all data workflows
Optimize system performance, reliability, and scalability across AI and data components
Requirements
Strong experience in software development (Python 6+ yrs)
Hands-on experience with Agentic AI / autonomous agents, including: Multi-agent orchestration, Tool usage & reasoning workflows, Prompt engineering and memory management
2+ years experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
Solid background in data engineering, including: Data pipelines, ETL/ELT processes, Data modeling and warehousing, Streaming and batch processing
Experience with cloud platforms (Azure preferred) and services like: Azure Data Factory / Synapse / Databricks, Azure OpenAI / Cognitive Services
Familiarity with vector databases, embeddings, and RAG architectures
Strong understanding of API design, microservices, and distributed systems
Nice to have
Degree: Bachelor's in computer science/IT or equivalent program (4 yrs)
Experience with GenAI frameworks (LangChain, LlamaIndex, Semantic Kernel)
Exposure to MLOps / LLMOps practices
Experience building enterprise-grade AI copilots or automation solutions
Knowledge of data governance and observability frameworks