Location: Hybrid / Remote

Experience: 5-8+ years

Role Overview

We are looking for a Tech Lead Product Development with 5-8+ years of experience to own the technical architecture and delivery of our data and AI products. You will lead a team of engineers, translate product and business requirements into scalable technical solutions, and ensure high-quality, timely delivery across the product lifecycle.

This role requires a strong blend of hands-on engineering, technical leadership, and product-delivery ownership within modern data and AI ecosystems.

Key Responsibilities

- Own the end-to-end technical architecture and design for data & AI product features
- Lead, mentor, and grow a team of software and data engineers
- Translate product requirements into technical designs, sprint plans, and delivery roadmaps
- Drive hands-on development, code reviews, and engineering best practices
- Partner with Product Managers to scope features, estimate effort, and prioritize the backlog
- Oversee integration of AI/ML and GenAI capabilities into production applications
- Ensure system scalability, performance, security, and reliability
- Establish and enforce engineering standards, CI/CD practices, and MLOps workflows
- Manage technical risk, troubleshoot production issues, and drive root-cause resolution
- Collaborate with senior stakeholders on technical decisions and product roadmap

Required Qualifications

- 5-8+ years of experience in software/product engineering, with demonstrated technical leadership
- Proven experience leading or mentoring engineering teams in an agile product environment
- Track record of owning technical architecture and shipping production-grade products
- Strong problem-solving skills with the ability to balance technical depth and delivery speed

Solid understanding of:

- Software architecture, system design, and scalable application development




- Product development lifecycle (requirements design build deploy iterate)
- Data and AI/ML integration within product applications
- Agile/Scrum delivery practices and sprint execution

Candidates should have hands-on experience with:

Software Engineering & Architecture

- Backend development (Python, Java, Node.js, or similar)
- API design and microservices architecture
- Database design (SQL and NoSQL)
- System design for scalability, performance, and reliability

Data & AI Integration

- ML/AI model integration into production systems
- Experience with LLMs (GPT, Llama, Claude, etc.) and GenAI application development
- Retrieval-Augmented Generation (RAG) architectures and vector databases (FAISS, Pinecone, Weaviate)
- Frameworks: LangChain, LlamaIndex, Semantic Kernel

MLOps & DevOps

- CI/CD pipelines and automated testing
- Model/version tracking (MLflow, Weights & Biases)
- Monitoring, logging, and observability for production systems
- Containerization and orchestration (Docker, Kubernetes)

Tools & Platforms (Preferred Exposure)

- Cloud Platforms: AWS, Azure, or GCP
- Data Stack: SQL, Python, Spark, Databricks
- AI Coding Tools: GitHub Copilot, Cursor, ChatGPT
- Workflow/Orchestration: Airflow, Prefect
- Version Control: GitHub / GitLab
- Project Management: Jira, Linear, or similar

Preferred Qualifications

- Experience leading GenAI-powered product features (chatbots, copilots, document AI, agents)
- Exposure to data governance, model risk, and responsible AI practices
- Experience in public sector, mobility, or smart city domains (plus)
- Prior experience as a Tech Lead, Engineering Manager, or Staff Engineer
- Background in fast-paced product/startup environments is a plus

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Tech Lead Product Development (India)
🏢 Open Insights
📍 India