Sr. Software Engineer

Application Architecture: Design, build, and maintain backend services that power generative AI features and machine learning workflows.

LLM & API Integration: Connect commercial and open-source large language models (LLMs) into client-facing software applications via APIs and SDKs.

RAG Implementation: Build and scale Retrieval-Augmented Generation (RAG) pipelines, managing vector stores and embedding generation for high-accuracy data retrieval.

Performance Tuning: Optimize application response times, lower latency, and manage token usage or computational costs effectively.

Code Quality & Testing: Write modular, testable code, perform rigorous debugging, and collaborate with cross-functional product squads.

What We Are Looking For

Experience Background: Fresh graduates with strong academic/project portfolios or professionals with 2 to 3 years of software engineering experience.

Technical Stack: Proficiency in Python, JavaScript, or another primary programming language, coupled with a solid grasp of RESTful APIs.

AI Ecosystem Familiarity: Basic-to-intermediate knowledge of AI frameworks (e.g., LangChain, LlamaIndex), vector databases, and ML deployment concepts.

Engineering Fundamentals: Familiarity with version control (Git), cloud platforms (AWS/GCP/Azure), and containerization (Docker).

Mindset: Strong logical reasoning, eagerness to solve complex integration challenges, and a self-driven attitude.

Pay: ₹500,000.00 - ₹700,000.00 per year

Work Location: In person