Tech Lead (Python, React & Generative AI)

Jobaaj Com

Gurugram District

Presencial

INR 2.500.000 - 4.200.000

Jornada completa

Hace 7 días
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Descripción de la vacante

Jobaaj Com in Gurugram, India is seeking a hands-on Tech Lead with strong Python, React, TypeScript, and Generative AI expertise to lead end-to-end engineering delivery, from design to deployment and production support.

You will guide backend and frontend teams, build AI-powered applications using LLMs, embeddings, vector databases, and agents, and mentor engineers while ensuring production readiness, scalability, and cost efficiency.

Formación

  • Bachelor's or Master's in Computer Science or related field.
  • 58 years of software engineering experience, including technical leadership or ownership of engineering workstreams.
  • Strong hands-on expertise in Python, React, and TypeScript.
  • Proven experience building and deploying AI-enabled applications in production.
  • Practical knowledge of RAG, LLMs, embeddings, vector databases, prompt engineering, and agentic AI.
  • Familiarity with Azure/AWS, Docker, CI/CD, infrastructure as code, and secure application development.
  • Knowledge of LLMOps, AI evaluation, observability, distributed systems, and performance optimization.
  • Strong problem-solving, communication, mentoring, and stakeholder-management skills.

Responsabilidades

  • Lead technical design, development, deployment, and production support of scalable applications.
  • Develop backend services and APIs using Python frameworks (FastAPI, Flask, or Django).
  • Guide frontend development using React and TypeScript.
  • Build AI-powered applications using LLMs, RAG, embeddings, vector databases, and AI agents.
  • Work with frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen.
  • Implement code reviews, automated testing, CI/CD, monitoring, security, and performance optimization.
  • Leverage Azure and AWS services for deployment and AI solutions.
  • Mentor engineers, manage technical deliverables, and collaborate with stakeholders.
  • Ensure production readiness, scalability, reliability, and cost efficiency.

Conocimientos

Python
React
TypeScript
Generative AI
Leadership

Educación

Bachelor's or Master's in Computer Science

Herramientas

FastAPI
Flask
Django
LangChain
LangGraph
Semantic Kernel
CrewAI
AutoGen
Docker
CI/CD
Azure
AWS

Descripción del empleo

Role & Responsibilities


We are looking for a hands-on Tech Lead with strong Python, React, TypeScript, and Generative AI expertise to lead end-to-end engineering delivery, from solution design and development to deployment and production support.

  • Lead technical design, development, deployment, and production support of scalable applications.
  • Develop backend services and APIs using Python frameworks such as FastAPI, Flask, or Django.
  • Guide frontend development using React and TypeScript.
  • Build AI-powered applications using LLMs, RAG, embeddings, vector databases, and AI agents.
  • Work with frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen.
  • Implement code reviews, automated testing, CI/CD, monitoring, security, and performance optimization.
  • Leverage Azure and AWS services for application deployment and AI solutions.
  • Mentor engineers, manage technical deliverables, and collaborate with consulting teams and business stakeholders.
  • Ensure production readiness, scalability, reliability, and cost efficiency.

Preferred Candidate Profile


  • Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.
  • 58 years of software engineering experience, including technical leadership or ownership of engineering workstreams.
  • Strong hands-on expertise in Python, React, and TypeScript.
  • Proven experience building and deploying AI-enabled applications in production.
  • Practical knowledge of RAG, LLMs, embeddings, vector databases, prompt engineering, and agentic AI.
  • Familiarity with Azure/AWS, Docker, CI/CD, infrastructure as code, and secure application development.
  • Knowledge of LLMOps, AI evaluation, observability, distributed systems, and performance optimization.
  • Strong problem-solving, communication, mentoring, and stakeholder-management skills.
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