Python (Programming Language)

Cerebra; Mumbai, Pune District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Cerebra in Mumbai is seeking a Python + AI/GenAI Engineer/Technical Lead to design, develop, and lead enterprise AI-powered software using Python and cutting-edge GenAI tech.

You will build LLM applications, RAG pipelines, and secure REST APIs, mentor developers, and drive architecture decisions. Strong Python, AI/GenAI, and cloud skills are required. The role offers hands-on leadership, code reviews, and collaboration with business stakeholders to deliver scalable AI solutions.

Qualifications

• 4+ years hands-on Python development experience.
• 2+ years AI/GenAI, RAG, and LLM applications.
• Experience deploying production-grade AI/GenAI solutions.
• Experience leading design, mentoring, or architecture preferred.

Responsibilities

• Design, develop, and maintain AI-powered enterprise applications using Python.
• Build and integrate GenAI applications using LLMs and natural language interfaces.
• Design, develop, and optimize RAG, Semantic Search, Vector Search, Text-to-SQL, and Agentic AI solutions.
• Integrate LLMs such as OpenAI, Gemini, Anthropic, Azure OpenAI, or similar platforms.
• Develop AI agents and tool-based workflows using LangChain and LangGraph.
• Design and implement scalable data ingestion, processing, embedding, and retrieval pipelines.
• Create and manage embeddings, vector stores, and retrieval frameworks.
• Integrate AI solutions with enterprise applications, databases, APIs, and services.
• Develop secure and scalable REST APIs using FastAPI, Flask, or Django REST Framework.
• Monitor, troubleshoot, and optimize application, model, retrieval, and API performance.
• Implement authentication and authorization using JWT, OAuth, SSO, or equivalent mechanisms.
• Establish monitoring, logging, observability, and performance dashboards using Grafana and related tools.
• Participate in architecture and technical design decisions.
• Conduct code reviews and ensure coding standards, unit testing, scalability, security, and performance.
• Mentor team members and provide technical guidance where required.
• Collaborate with business and technical stakeholders to deliver scalable and secure AI solutions.

Skills

Python

Backend development

FastAPI

Flask

Django REST Framework

SQL

Data Modeling

Unit Testing

Authentication

OAuth

SSO

Performance tuning

Education

15 years of full-time education

Tools

OpenAI

Gemini

Anthropic

Azure OpenAI

LangChain

LangGraph

FAISS

Qdrant

Weaviate

Hugging Face Transformers

Vector Databases

Grafana

Docker

Kubernetes

AWS

Azure

Job description

Python + AI/GenAI Engineer / Technical Lead

Project Role

Custom Software Engineering Python & AI/GenAI

Role Description

Design, develop, and lead the delivery of scalable, enterprise-grade software solutions using Python and modern AI/GenAI technologies. The role involves hands‑on development of LLM applications, RAG pipelines, intelligent search, Agentic AI workflows, Text-to-SQL solutions, and scalable data processing platforms.

Experience

• 4+ years of hands-on Python development experience.
• 2+ years of hands-on experience developing AI/GenAI, RAG, and LLM applications.
• Experience building and deploying production-ready enterprise AI/GenAI solutions.
• Experience leading technical design, mentoring developers, or driving architecture decisions is preferred.

Roles & Responsibilities

• Design, develop, and maintain AI-powered enterprise applications using Python.
• Build and integrate GenAI applications using LLMs and natural language interfaces.
• Design, develop, and optimize RAG, Semantic Search, Vector Search, Text‑to‑SQL, and Agentic AI solutions.
• Integrate LLMs such as OpenAI, Gemini, Anthropic, Azure OpenAI, or similar platforms.
• Develop AI agents and tool‑based workflows using LangChain and LangGraph.
• Design and implement scalable data ingestion, processing, embedding, and retrieval pipelines.
• Create and manage embeddings, vector stores, and retrieval frameworks.
• Integrate AI solutions with enterprise applications, databases, APIs, and services.
• Develop secure and scalable REST APIs using FastAPI, Flask, or Django REST Framework.
• Monitor, troubleshoot, and optimize application, model, retrieval, and API performance.
• Implement authentication and authorization using JWT, OAuth, SSO, or equivalent mechanisms.
• Establish monitoring, logging, observability, and performance dashboards using Grafana and related tools.
• Participate in architecture and technical design decisions.
• Conduct code reviews and ensure coding standards, unit testing, scalability, security, and performance.
• Mentor team members and provide technical guidance where required.
• Collaborate with business and technical stakeholders to deliver scalable and secure AI solutions.

Must Have Skills

Python & Backend

• Python, OOP, Design Patterns, Unit Testing
• FastAPI, Flask, Django REST Framework
• SQL, Data Modeling, Shell Scripting
• Pandas, NumPy, DataFrames
• REST APIs and backend development
• Authentication & Authorization – JWT, OAuth, SSO
• Performance tuning and code optimization

AI / GenAI

• LLM Application Development
• OpenAI, Gemini, Anthropic, or similar LLM platforms
• Generative AI and Natural Language Interfaces
• RAG Pipeline Development & Optimization
• Agentic AI Workflows
• LangChain and LangGraph
• Text-to-SQL
• Vector Search and Semantic Search
• Embedding Models
• Sentence Transformers
• Hugging Face Transformers
• Vector Databases such as FAISS, Qdrant, Weaviate, or similar
• Embedding and Vector Store management

Data & Observability

• Scalable data ingestion and processing pipelines
• Data processing using Pandas/NumPy
• SQL and database integration
• Grafana Monitoring & Observability
• Logging, troubleshooting, and performance monitoring

DevOps & Delivery

• Git and CI/CD
• Enterprise application development
• Microservices architecture
• Docker and Kubernetes
• AWS / Azure cloud environments

Good to Have

• Azure OpenAI
• AWS Bedrock
• LlamaIndex
• MCP
• Docker/Kubernetes
• AWS/Azure cloud services
• Microservices architecture
• AI & Data Solution Architecture

Educational Qualification

15 years of full-time education

Key Competencies

• Strong hands‑on Python coding experience.
• Strong practical experience in AI/GenAI application development.
• Ability to design production‑ready RAG and Agentic AI solutions.
• Strong problem‑solving, debugging, and performance optimization skills.
• Understanding of enterprise security, scalability, and architecture.
• Ability to mentor team members and contribute to technical leadership.
• Strong communication and stakeholder management skills.