Software Engineer – GenAI (LLM Applications)
Location
India
Posted
7 days ago
Salary
0
Seniority
Mid Level
Job Description
Software Engineer – GenAI (LLM Applications)
Zeiss VisioGen
Role Description This is a remote position. 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. Qualifications - 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.
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