Ai Ml Engineer

Founding AI/ML Engineer

Location: India | Employment: Full-time | Work Model: Remote/Hybrid

About the Role

We are looking for our first AI/ML Engineer to help establish and grow our AI capabilities in behavioral health. This is a hands-on role for someone who enjoys turning ambiguous business and clinical problems into practical AI solutions.

You will work closely with Product, Engineering, Clinical, and external AI/ML development partners to identify opportunities, evaluate approaches, build prototypes, and bring successful solutions into production.

What Youll Do

• Identify and develop high-value AI/ML use cases across clinical workflows, member experience, and operations.
• Build and deploy AI/ML solutions using LLMs, RAG, agents, NLP, guardrails, and related technologies.
• Define evaluation approaches and measure quality, safety, accuracy, cost, and user value.
• Serve as the internal technical lead when working with third-party AI/ML development partners for defining requirements, reviewing designs and results, and ensuring successful integration.
• Help establish our AI architecture, technology standards, model/vendor strategy, and reusable AI capabilities.
• Work with Clinical and Product teams to ensure AI solutions are practical, safe, and aligned with real-world workflows.
• Help establish responsible AI practices for sensitive behavioral health data.

What We’re Looking For

• 5+ years of software engineering, ML engineering, or related experience.
• Proven experience building and deploying AI/ML models that are being used in production.
• Hands-on experience with LLMs/GenAI, including RAG, fine-tuning, agents, NLP, guardrails, and related technologies.
• Experience with experiment tracking and reproducibility, including model, code, and data versioning.
• Strong Python and backend engineering skills.
• Excellent grasp of the data science concepts.
• Strong understanding of AI/ML evaluation and how to move beyond prototypes into reliable production systems.
• Comfortable working in an early-stage environment and helping shape how the company builds AI.
• Relevant Tools: Python, FastAPI, PyTorch, Hugging Face Transformers, OpenAI/LLM APIs, LangChain, LangGraph, LangSmith, LangFuse, Vector DB (Weaviate, Qdrant), LoRA/QLoRA, Braintrust, Arize Phoenix, MLFlow

Nice to Have

• Experience working with external engineering, AI/ML, or technology development partners.
• Healthcare or behavioral health experience.
• Experience with sensitive or regulated data.

What Success Looks Like

In the first 6 months, you will help us:

• Launch our first meaningful AI pilot and move successful solutions into production.
• Establish a repeatable identify prototype evaluate pilot scale process.
• Build a strong working model with our external AI/ML development partners.
• Establish the foundations for a scalable, secure, and responsible AI capability.
• Help identify and deliver the next generation of AI-powered product and clinical capabilities.