Technical Team Lead

Job Title: Tech LeadExperience: 7–10 YearsRole OverviewWe 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.

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