Technical Team Lead

Job Title:

Experience:

Role Overview

We are looking for a Tech Lead – Engineering & AI Projects who can drive the technical vision and execution of both software engineering and AI initiatives. This is a hands-on leadership role that blends strong full-stack engineering capabilities with practical exposure to AI/ML systems, MLOps, and LLM-based applications.

You will lead cross-functional teams, architect scalable solutions, and ensure seamless delivery across product, engineering, and AI teams — while mentoring engineers and fostering a culture of technical excellence and innovation.

Key Responsibilities

• Lead architecture, design, and development of robust, scalable engineering and AI solutions across products and platforms.
• Drive the implementation of AI and LLM-integrated systems, including RAG pipelines and Agentic AI workflows, using frameworks such as LangChain, CrewAI, or LangGraph.
• Architect and oversee cloud-native, microservices-based applications leveraging Node.js, TypeScript, and modern DevOps practices.
• Collaborate with product owners, AI engineers, data teams, and DevOps to align solutions with business goals and delivery timelines.
• Promote best practices in software engineering, AI integration, testing, and observability across teams.
• Mentor and guide engineers, fostering growth, innovation, and technical ownership.
• Conduct technical reviews, performance audits, and ensure delivery of high-quality, maintainable code.
• Evaluate and recommend emerging technologies in AI and modern engineering for adoption.

Experience:

• 7–10 years of software engineering experience with a strong backend or full-stack foundation.
• Minimum 2–3 years of AI/ML system delivery experience — designing, deploying, or integrating production-grade models or LLM-based systems.
• Proven experience leading technical teams, mentoring engineers, and driving delivery across multiple projects.

Technical Skills

• Strong hands-on expertise in Node.js, TypeScript, and backend frameworks (Fastify, NestJS, or Express).
• Proficiency in databases (MongoDB, PostgreSQL, or NoSQL systems).
• Practical experience with LLMs, RAG architectures, and vector databases (Pinecone, FAISS, Chroma).
• Familiarity with AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn) and MLOps tools (MLflow, Airflow, Kubeflow).
• Strong understanding of cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
• Exposure to frontend frameworks (React, Vue.js) and full-stack delivery practices.
• Knowledge of DevOps pipelines, CI/CD, and observability tools (Grafana, Prometheus, etc.).

Soft Skills

• Excellent communication and stakeholder management abilities.
• Strong analytical mindset and problem-solving orientation.
• Proven leadership in cross-functional environments with multiple stakeholders.
• Passion for mentoring, learning, and staying current with evolving AI and engineering practices.

Preferred Skills

• Experience in AI productization — embedding AI or LLM capabilities into customer-facing products.
• Understanding of Responsible AI principles and ethical AI usage.
• Background in consulting or product engineering environments delivering to global clients.
• Experience managing distributed or hybrid teams.