Job Title: Tech Lead
Experience: 710 Years
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:
- 710 years of software engineering experience with a strong backend or full-stack foundation.
- Minimum 23 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.
