Role Description

We are looking for a highly motivated AI Engineer with 2–3 years of hands-on experience in building and deploying AI-powered systems. This is a builder-first role, focused on delivering real-world AI applications in fast-paced environments. The ideal candidate is someone who thrives in startup-like settings, takes ownership, moves fast, and enjoys solving practical problems.

Key Responsibilities:

- Design, build, and deploy end-to-end AI/ML systems with a focus on real-world applications

- Develop and optimise LLM-powered applications, including chat systems, copilots, and agent-based workflows

- Build scalable APIs and backend systems to serve AI models in production

- Work on retrieval-augmented generation (RAG) pipelines and vector search systems

- Collaborate with cross-functional teams (product, design, data) to deliver features rapidly

- Ensure production readiness through proper testing, monitoring, and optimisation

- Mentor junior engineers and contribute to team knowledge sharing

- Continuously explore and integrate emerging AI tools, frameworks, and best practices

Requirements

- Experience





- 2–3 years of experience in AI/ML + Software Engineering roles

- Programming & Engineering

- Solid proficiency in Python

- Understanding of system design

- Experience building REST APIs / microservices

- MLOps & Infrastructure Experience with:

- Docker (containerization)

- Kubernetes (deployment & scaling)

- CI/CD pipelines for ML systems

- Familiarity with cloud platforms (AWS / GCP / Azure)

- AI / ML & LLM Stack Hands-on experience with:

- LLMs & GenAI Prompt engineering, fine-tuning basics

- Frameworks & Libraries like LangChain / LlamaIndex

- Hugging Face, PyTorch ecosystem

- Retrieval & Search FAISS or other Vector Databases (Pinecone, Weaviate, Chroma, etc.)

- Agentic AI Systems, multi-agent workflows, MCP or similar

- Preferred Experience

- Experience with document parsing & processing pipelines (e.g., PDFs, tables, OCR, structured extraction)

- Exposure to knowledge graphs or hybrid retrieval systems

- Familiarity with UI frameworks (StreamLit)

📌 Sde 2 - Ai/Ml (Bengaluru)
🏢 GIST Impact
📍 Bengaluru