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 rapid-paced environments. The ideal candidate is someone who thrives in startup-like settings, takes ownership, moves rapid, 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
Robust 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 extractio

📌 Sde 2 Ai/ml Bengaluru
🏢 GIST Impact
📍 Bengaluru