Software Engineer- Gen AI

About The Role

We are looking for a Software Engineer passionate about Generative AI to join our team. You will work on building intelligent, production-grade applications using cutting-edge models like GPT, LLaMA, Claude, or open-source alternatives. This is a hybrid role that combines software engineering best practices with deep interest in AI/ML, especially LLM-based applications such as RAG, chatbots, agentic systems, and prompt engineering .

You’ll work alongside product managers, ML researchers, and engineers to deliver robust, scalable solutions with real-world impact.

Key Responsibilities

Build, deploy, and maintain LLM-powered applications using APIs or open-source models.

Implement and optimize RAG (Retrieval-Augmented Generation) pipelines.

Integrate and experiment with LangChain, LlamaIndex , and agentic frameworks .

Write production-grade code and deploy services in cloud environments (AWS, GCP, Azure).

Collaborate cross-functionally with design, ML, and backend teams.

Stay up to date with latest in GenAI: open models, prompting strategies, fine-tuning, etc.

Required Skills & Qualifications

2–4 years of experience in software development, preferably in Python or JavaScript/TypeScript.

Solid understanding of data structures, algorithms, and system design .

Experience building and deploying REST APIs or microservices.

Familiarity with GenAI concepts – LLMs, transformers, vector embeddings.

Hands-on Experience With One Or More

LangChain / LlamaIndex

OpenAI / Cohere / Anthropic / HuggingFace models

Pinecone / Weaviate / FAISS / Qdrant (vector DBs)

Nice-to-Have (Bonus Skills)

Experience working on chatbots , document Q&A , or agentic workflows .

Exposure to ML model fine-tuning or prompt optimization .

Familiarity with Docker , Kubernetes , or CI/CD pipelines .

Contributions to open-source GenAI projects.

What You'll Get

Work on real-world, AI-first products from scratch.

Exposure to state-of-the-art LLM tools and platforms.

Learn from a collaborative, hands-on engineering + ML team.

Fast-paced environment with full ownership and impact.