Live opening · Posted 15 days ago
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Role Overview
We are looking for a strong Backend Tech Lead / Solution Architect with expertise in Python and recent hands-on experience in Generative AI. The ideal candidate should have strong backend architecture and development skills and be capable of designing scalable AI-powered solutions.
Full-stack, Data Engineering, and related skills are good to have but are not mandatory. The primary focus is Python Backend + GenAI.
Key Responsibilities
Lead the design and development of scalable backend applications using Python.
Design backend architecture, APIs, microservices, and AI-enabled solutions.
Develop and integrate Generative AI/LLM-based applications into enterprise solutions.
Work with LLMs, RAG, prompt engineering, AI agents, and AI application frameworks.
Evaluate and integrate GenAI models and services based on business requirements.
Provide technical leadership and guide developers on architecture, coding standards, and best practices.
Collaborate with product, business, and engineering teams to translate requirements into technical solutions.
Design secure, scalable, and reliable AI/backend architectures.
Troubleshoot and optimize backend and AI application performance.
Participate in technical discussions, solution design, code reviews, and mentoring.
Mandatory Skills
Python Backend
Strong hands-on experience in Python backend development.
REST APIs, microservices, API integration, and backend architecture.
Experience with frameworks such as FastAPI, Flask, or Django.
Generative AI
Recent hands-on experience with Generative AI / LLM applications.
Experience with LLMs, RAG, prompt engineering, or AI agents.
Experience integrating models such as OpenAI, Claude, Llama, Mistral, or similar.
Exposure to frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or similar.
Technical Leadership
Experience as a Tech Lead, Technical Lead, Lead Engineer, or Solution Architect.
Strong system design and solution architecture experience.
Ability to mentor developers and drive technical decisions.
Good to Have
Data Engineering
Apache Spark / PySpark
AWS Glue
Elasticsearch
ETL / data pipelines
Frontend
React / Angular / Next.js
Full-stack development experience
Cloud
AWS / Azure / GCP
Experience deploying AI and backend applications on cloud platforms.
Work arrangement
No
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