Python & SQL — strong hands-on proficiency.

Generative AI / LLMs — RAG, embeddings, prompting, structured extraction, summarization.

Agentic AI — agents, tool-calling, orchestration, context management, guardrails.

AI evaluation & monitoring — testing and measuring AI/LLM outputs.

Data engineering — structured/unstructured data, ingestion, transformation and pipelines.

Databases & retrieval — Snowflake/PostgreSQL, vector databases/search.

Backend & APIs — FastAPI/Flask, REST APIs, service integration.

Frontend — working React, JavaScript and TypeScript knowledge.

Deployment & DevOps — Git, CI/CD, Docker and cloud (Azure/AWS/GCP).

Software engineering — debugging, testing, maintainable code and system integration.

Problem solving & ownership — independently translate business problems into deployed solutions.

Delivery & communication — prioritize work, manage timelines, flag blockers and communicate clearly.

Financial domain knowledge — practical but not mandatory.

📌 AI Engineer (Mumbai)
🏢 Trigent Software
📍 Mumbai