FullStack Developer(Python)

Talent Toppers; Gurugram District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Talent Toppers in India is seeking an experienced full-stack software engineer with a strong focus on AI/GenAI systems to join our fast-paced team. You will build and ship production-grade web applications end-to-end, collaborating across product, data, and operations to deliver high-impact AI features.

The ideal candidate has 6–8 years of experience in full-stack development, demonstrates a track record in startups, consulting, or innovation teams, and is comfortable navigating ambiguous

Qualifications

• 6–8 years of experience in full stack software engineering with a strong focus on AI/ML or GenAI systems.
• Hands‑on experience building and shipping production‑grade web applications end‑to‑end.
• Proven track record of working in fast‑paced, ambiguous environments — startups, consulting, or innovation teams preferred.
• Exposure to private equity, management consulting, or data‑driven business environments is a plus

Skills

Python (FastAPI / Flask)

React & TypeScript

GenAI / LLM Ecosystems

Vector DBs & Embeddings

REST APIs & Microservices

SQL / NoSQL Databases

Docker & CI/CD Basics

Tools

Docker

CI/CD

Kubernetes

LangGraph

CrewAI

AutoGen

Job description

• 6–8 years of experience in full stack software engineering with a strong focus on AI/ML or GenAI systems
• Hands‑on experience building and shipping production‑grade web applications end‑to‑end
• Proven track record of working in fast‑paced, ambiguous environments — startups, consulting, or innovation teams preferred
• Exposure to private equity, management consulting, or data‑driven business environments is a plus

Technical Skills — Required

• Python (FastAPI / Flask)
• React & TypeScript
• GenAI / LLM Ecosystems
• Vector DBs & Embeddings
• REST APIs & Microservices
• SQL / NoSQL Databases
• Docker & CI/CD Basics

Technical Skills — Preferred

• Cloud platforms: AWS, Azure, or GCP
• LLMOps, evaluation frameworks, and AI observability tooling
• Multi-agent systems and AI orchestration frameworks (e.g. LangGraph, CrewAI, AutoGen)
• Experience with AI-assisted development tools (e.g. Cursor, Copilot, Claude Code)
• Familiarity with Kubernetes and infrastructure-as-code