Custom Software Engineer

Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : Python (Programming Language)

Good to have skills : AI & Data Solution Architecture

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary

Seeking an experienced Python + AI-GenAI Engineer with expertise in building enterprise-grade GenAI applications, intelligent search solutions, Agentic AI workflows, and scalable data processing pipelines. The ideal candidate should have hands-on experience with LLMs, RAG, Vector Databases, and modern AI frameworks.

Experience

4+ years of Python development experience

2+ years of AI-GenAI-RAG and LLM application development

Roles & Responsibilities

Design, develop, and maintain AI-powered applications using Python.

Build enterprise GenAI solutions leveraging LLMs and Natural Language Interfaces.

Develop and optimize RAG, Text-to-SQL, Semantic Search, and Agentic AI solutions.

Design and implement scalable data ingestion and processing pipelines.

Integrate AI models with enterprise applications and APIs.

Monitor, troubleshoot, and optimize AI application performance.

Contribute to architecture decisions and mentor team members.

Must Have Skills

Python, OOPs, Design Patterns, Unit Testing

FastAPI, Flask, Django REST Framework

SQL, Data Modeling, Shell Scripting

Pandas, NumPy, DataFrames

Authentication & Authorization (JWT-OAuth-SSO)

LLM Integration (OpenAI, Gemini, Anthropic, or similar)

Vector Search, Semantic Search, Agentic AI Workflows

GenAI Tooling and Natural Language Interface Development

RAG Pipeline Development & Optimization

Text-to-SQL Systems

LangChain, LangGraph, Sentence Transformers

Hugging Face Transformers

Embedding Models (OpenAI, BERT, or similar)

Vector Databases (FAISS, Qdrant, Weaviate, or similar)

Create and manage Embeddings and Vector Stores

Grafana Monitoring & Observability

Git, CI-CD

Good to Have

Azure OpenAI, AWS Bedrock

LlamaIndex, MCP

Docker, Kubernetes

AWS-Azure Cloud

Microservices Architecture