Tech Lead (Python, React & Generative AI)
Description
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.
Skills
- Agentic AI
- AI
- API
- AutoGen
- AWS
- Azure
- CI/CD
- CrewAI
- Distributed Systems
- Django
- Docker
- Embeddings
- FastAPI
- Flask
- Generative AI
- Infrastructure as Code
- LangChain
- LangGraph
- LLM
- LLMOps
- Observability
- Prompt Engineering
- Python
- RAG
- React
- Semantic Kernel
- Solution Design
- Stakeholder Management
- Test Automation
- TypeScript
- Vector Databases
