Location: Hybrid / Remote
Experience: 5–8+ years
Company: Open Insights

Apply at: careers@open-insights.com

About Open Insights

Open Insights is a data and AI consulting firm focused on helping organizations unlock real business value through data-driven decision-making and scalable AI solutions. We work at the intersection of strategy, data, and AI, delivering practical and production-ready solutions.

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

Strong 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

Technical Expertise

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