Developer – AI Velocity Engineering

RemoteEngine Partner

Bengaluru

Sur place

INR 1 200 000 - 1 800 000

Plein temps

Il y a 6 jours
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Résumé du poste

RemoteEngine Technologies Private Limited is seeking a hands-on developer to build AI agents and automations that accelerate our software development lifecycle. You will work on Python-first backend services (FastAPI) and UI features (React) integrated with AI tooling.

Collaborate closely with the Lead Developer and other engineering teams to deploy robust AI solutions, optimize data parsing, and improve developer productivity.

Qualifications

  • 2–3 years hands-on development experience with Python.
  • Experience with FastAPI, asynchronous programming, data parsing, and Pydantic.
  • Hands-on exposure to AI/LLM-powered agents or tooling.

Responsabilités

  • Build AI agents and automations to accelerate software delivery.
  • Collaborate with Lead Developer and engineering teams.
  • Contribute to CI/CD pipelines and containerization workflows.

Connaissances

AI/LLM-powered agents
AI-in-SDLC tooling
LangChain/LangGraph frameworks
Full-stack: React UI & backend APIs
RAG pipelines & vector databases
Azure OpenAI / LLM familiarity
CI/CD & Docker
Python-first (FastAPI, async)
Collaborate with Lead Developer

Outils

Docker
FastAPI
React
GitHub Actions
GitLab/GitHub CI/CD

Description du poste

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 help build the AI agents and automations that make our software development lifecycle faster and more efficient. You'll work clo 2-3 years of hands-on development experience, Python-first (FastAPI, async, scripting, data parsing, Pydantic).

  • Working experience with AI/LLM-powered agents or tooling, production or strong project/prototype experience.
  • Familiar with GitHub Copilot and other AI-in-SDLC tooling.
  • Exposure to LangChain/LangGraph or similar agentic frameworks.
  • Full-stack capable, comfortable in UI (React), backend services, and API integrations.
  • Working knowledge of RAG pipelines and vector databases; familiarity with LLMs and the Azure AI ecosystem (Azure OpenAI, etc.).
  • Familiarity with CI pipelines (Bitbucket, GitHub Actions, GitLab CI, Jenkins) and containerization (Docker).
  • Self-driven with a bias to action; comfortable taking direction and running with it.
  • Able to collaborate effectively with the Lead Developer and other engineering teams.
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