Lead AI Native Engineer

RemoteEngine Technologies Private Limited; India; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

ZEISS VisioGen is hiring a hands-on developer to accelerate AI-powered clinical communication software for ophthalmology. You’ll work across the software development lifecycle, focusing on Python-first backends (FastAPI, async, pydantic) with real production experience building AI/LLM-powered agents.

You will leverage LangChain or similar frameworks, React UI, and strong CI/CD practices with Docker to deliver end-to-end integrations in a regulated medtech environment.

Qualifications

• 3–5 years hands-on development experience.
• Proficient in Python with FastAPI and async programming.
• Experience building AI/LLM-powered agents and production systems.
• Familiarity with LangChain or similar agentic frameworks.
• Full-stack capabilities including UI (React) and backend services.

Responsibilities

• Develop AI-powered clinical communication solutions for ophthalmology.
• Own end-to-end software development, from data parsing to deployment.
• Collaborate with cross-functional teams in a regulated medtech environment.
• Implement robust CI/CD pipelines and containerized deployments.
• Ensure production quality, security, and maintainability of AI systems.

Skills

Python

FastAPI

LangChain

React

LLMs / AI

GitHub Copilot

Docker

CI/CD

Pydantic

Azure OpenAI

Async

Tools

Docker

GitHub Actions

Bitbucket

GitLab CI

Jenkins

Job description

ZEISS VisioGen is building the future of AI-powered healthcare by developing human-verified clinical communication solutions for ophthalmology practices. We combine cutting-edge Generative AI with clinical expertise to build scalable, production-ready applications that enhance patient engagement and improve healthcare delivery. We're looking for a hands‑on developer to act as a force multiplier across our software development lifecycle – identifying friction in how we build and ship software, an 3–5 years of hands‑on development experience, Python-first (FastAPI, async, scripting, data parsing, pydantic,), with real production experience building AI/LLM-powered agents.

• Skilled with GitHub Copilot and other AI-in-SDLC tooling as a core part of how you build production grade software.
• Hands‑on with LangChain/LangGraph or similar agentic frameworks.
• Full‑stack experience and comfortable in UI (React), backend services, custom API webhooks and integrations end‑to‑end.
• Strong RAG pipelines and vector database experience; solid grounding in LLMs and the Azure AI ecosystem (Azure OpenAI, etc.), building Agentic workflows using Skills, MCPs, tool calls and evals.
• Strong familiarity with continuous integration pipelines (Bitbucket, GitHub Actions, GitLab CI, Jenkins), automated quality gates, and containerization (Docker).
• Comfortable with ambiguity, self‑driven, bias to action.
• Able to collaborate effectively with other engineering teams.
• Able to operate within a regulated, enterprise (medtech) environment.