Software Engineer – GenAI (LLM Applications)

This is a remote position.

Role: Software Engineer – GenAI (LLM Applications)

Location: India (Remote / Hybrid)

Experience: 2–3 Years

Employment Type: Third-Party Payroll

About ZEISS VisioGen

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.

Role Overview

We are looking for a passionate Software Engineer – GenAI to design and develop production-grade applications powered by Large Language Models (LLMs). In this role, you will work on Agentic AI workflows, Retrieval-Augmented Generation (RAG) systems, and intelligent patient-facing applications while collaborating with cross-functional teams to build scalable and reliable AI solutions.

Key Responsibilities

GenAI Application Development

• Design, develop, and deploy production-grade LLM-powered applications.

• Build Agentic workflows and multi-step AI applications using frameworks such as LangChain and LangGraph.

• Develop and maintain RESTful APIs and streaming services using FastAPI and asynchronous Python.

RAG & AI Engineering

• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.

• Support data ingestion, chunking, embedding, indexing, and retrieval workflows.

• Optimize LLM performance for relevance, accuracy, safety, and response quality through prompt engineering and evaluation.

Software Engineering & Collaboration

• Write clean, scalable, and well-documented Python code following engineering best practices.

• Contribute to CI/CD pipelines and deployment workflows across development, staging, and production environments.

• Collaborate with Product, AI, and Engineering teams to design, build, test, and deploy AI solutions.

• Troubleshoot technical issues and continuously explore emerging GenAI technologies to improve existing systems.

Requirements

What We're Looking For

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 2–3 years of software development experience, including at least 1 year building GenAI or LLM-based applications.

• Strong proficiency in Python, including asynchronous programming (async/await).

• Experience building APIs using FastAPI or similar Python frameworks.

• Good understanding of prompt engineering, Retrieval-Augmented Generation (RAG), and LLM application architecture.

• Experience with Git, version control, and CI/CD workflows.

• Strong analytical, problem-solving, and communication skills with the ability to work in a collaborative environment.

Preferred Qualifications

• Hands-on experience with LangChain, LangGraph, or similar LLM frameworks.

• Experience with vector databases such as Pinecone, Weaviate, pgvector, Chroma, or FAISS.

• Familiarity with Azure Pipelines, GitHub Actions, or Jenkins.

• Experience deploying applications on Azure, AWS, or GCP.

• Working knowledge of Docker and containerized applications.

• Experience with PostgreSQL, MySQL, MongoDB, Redis, or similar databases.

• Portfolio or GitHub projects demonstrating software engineering and GenAI development expertise.