Palni - Generative AI Engineer

Description :

Role Overview :

We are looking for highly motivated GenAI Engineers who thrive in fast moving environments and enjoy building intelligent systems end-to-end. This role sits at the intersection of rapid solutioning and reusable platform engineering.

Key Responsibilities :

- Design, build, and iterate on GenAI-powered applications and agents using Python

- Rapidly prototype AI solutions for real-world use cases (banking, enterprise ops, analytics, etc.)

- Work across the stack - backend logic, APIs, integrations, and basic frontend components when needed .

- Integrate LLMs, embeddings, vector databases, and external tools into cohesive workflows.

- Translate ambiguous problem statements into working demos or production-ready components.

- Build reusable abstractions, templates, and utilities that accelerate future development.

- Collaborate closely with business analysts, solution architects, and product teams.

- Continuously evaluate new developments in the GenAI ecosystem and apply them pragmatically.

Required Skills :

- Strong proficiency in Python (core language, data structures, APIs)

- Hands-on experience with GenAI / LLM-based systems (OpenAI, Anthropic, open-source models, etc.).

- Understanding of prompting, embeddings, RAG, agents, and tool calling.

Full-stack exposure :

- Backend frameworks (FastAPI, Flask, Django, or similar)

- Frontend basics (React, Angular, or modern JS frameworks - depth not mandatory).

- Experience integrating third-party APIs, databases, and cloud services.

- Solid computer science fundamentals (data structures, algorithms, system design basics)

Nice to Have :

- Experience with vector databases (FAISS, Pinecone, Weaviate, OpenSearch, etc.).

- Familiarity with cloud platforms (AWS preferred).

- Exposure to enterprise data systems (SQL, analytics, internal tools)

- Prior work on demos, hackathons, accelerators, or fast-paced product teams.

- Curiosity for AI systems beyond just calling an API

What are Really Looking For :

- Someone who learns extremely fast and is comfortable with ambiguity.

- Engineers who enjoy building things, not just discussing architecture

- High ownership mindset - you see a problem and instinctively try to solve it

- A bias toward action, experimentation, and continuous improvement