Artificial Intelligence Engineer

About the RoleAt Independence OS, we're building AI-native infrastructure to fundamentally transform how healthcare operates.

We're not simply adding AI to existing healthcare software. We're reimagining healthcare workflows from first principles, designing systems where AI agents can autonomously execute complex operational and clinical-administrative tasks.

We're looking for an Artificial Intelligence Engineer who can architect, build, deploy, and scale production-grade AI systems powering the next generation of US primary care.

You'll work across medical documentation, AI-powered patient communication, revenue cycle management, provider credentialing, value-based care, and compliance workflows.

This is a hands-on engineering role with end-to-end ownership, from system architecture and experimentation to production deployment and continuous improvement.

What You'll Do

- Architect AI-native systems: Design scalable architectures built around LLMs, AI agents, and intelligent orchestration rather than traditional rule-based workflows.
- Build agentic AI systems: Develop autonomous and multi-agent workflows capable of reasoning, using tools, maintaining context, and executing complex healthcare operations.
- Develop production-grade AI applications: Build and deploy AI-powered solutions across medical scribes, conversational voice agents, billing, credentialing, and other healthcare workflows.
- Own the complete AI lifecycle: Take responsibility for system design, prototyping, experimentation, deployment, monitoring, and optimization.
- Optimize AI performance: Improve model and agent accuracy, latency, reliability, safety, and inference costs through systematic evaluations and experimentation.
- Build robust AI infrastructure: Implement retrieval systems, context management, tool integrations, structured outputs, observability, and failure recovery mechanisms.
- Solve real healthcare problems: Collaborate directly with product managers,



software engineers, and clinical stakeholders to translate complex healthcare challenges into scalable AI solutions.
- Engineer for real-world deployment: Build secure, reliable systems that operate within healthcare privacy, security, and regulatory requirements, including HIPAA.

What We're Looking For
- Strong proficiency in Python and experience building production-grade software systems.
- Hands-on experience developing applications using LLMs and modern generative AI technologies.
- Understanding of agentic AI architectures, orchestration frameworks, tool calling, and multi-step workflows.
- Experience working with model APIs, retrieval-augmented generation (RAG), embeddings, vector databases, and context management.
- Strong understanding of backend engineering, APIs, asynchronous processing, distributed systems, and cloud infrastructure.
- Ability to evaluate and optimize AI systems for accuracy, latency, reliability, and cost.
- Strong problem-solving skills and the ability to independently architect and own complex technical solutions.
- A product-oriented engineering mindset, with a willingness to take ownership beyond model development.

Positive to Have

- Experience building real-time conversational or voice AI systems.
- Familiarity with healthcare workflows, EHR integrations, FHIR/HL7, or US healthcare operations.
- Experience with LLM evaluation frameworks, fine-tuning, and model optimization.
- Experience deploying AI systems in regulated or high-reliability environments.

Why Independence OS?You'll work on AI systems that are designed to operate in real healthcare environments, not just demonstrations or isolated prototypes.

You'll have the opportunity to build AI-native products from the ground up, solve complex problems across US primary care, collaborate closely with a multidisciplinary team, and own meaningful systems from conception to production.

We're looking for engineers who don't just use AI models, but understand how to engineer complete systems around them.

📌 Artificial Intelligence Engineer (Bengaluru)
🏢 IndependenceOS
📍 Bengaluru