Python & SQL - robust 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, Java Script and Type Script knowledge.

Deployment & Dev Ops - 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 - useful but not mandatory.

📌 AI Engineer (India)
🏢 TRIGENT SOFTWARE PRIVATE
📍 India