Software Development Engineer-II (AI)

 We are looking for a Software Development Engineer-II (AI) who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. We are looking for a superstar who will define and build the next generation of predictive analytics tools in healthcare.

A Day in the Life

• Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients
• Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them.
• Proven ability to break down complex business problems into machine learning problems and design solution workflows.
• Work with our data platform team to help them successfully integrate the agent capability or algorithms in their product/workflows.
• Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle.

What You Need

• Preferably Masters in Computer Science, Computer Engineering or other relevant fields
• 4+ years of experience in Data Science.
• Familiarity with Prompt Engineering and working experience in fine tuning LLMs
• Hands-on experience of working with Multi-Agent Systems with Frameworks like CrewAI/Langchain/Autogen (One of them is a must) and Prompt engineering.
• Hands-on with Vector Databases such as ChromaDB, FAISS etc
• Experience in Reinforcement learning (RL), specially for autonomous agents.
• Working experience with Embedding models and RAG design.
• Strong hands-on experience in Python - building enterprise applications along with optimization techniques, along with working with API integrations (Fast API/Django)
• Hands on experience with at least one ML platform from amongst Databricks, Azure ML, Sagemaker
• Good to have - Comfortable with Docker, Kubernetes, AWS cloud technologies, Snowflake and also some experience in Healthcare.

Preferred Skills

• Python - Building highly scalable and performant applications
• LLM - Deep experience in working and fine tuning LLM Models
• Re-inforcement Learning and MAS
• Vector Databases