Engineering Manager – Fullstack & AI Engineering

Job Description: Engineering Manager – AI Engineering Location: [Remote – India] Experience: 8–14+ years Role Type: Full-time About Codvo.ai Codvo.ai is a next-gen technology consulting and product engineering company focused on delivering AI-driven digital transformation. We blend engineering excellence, innovation, and a strong problem-solving culture to craft solutions that scale. We partner with global enterprises across FinTech, Digital Commerce, HealthTech, and Emerging Tech ecosystems. If you are passionate about building teams, solving deep technical challenges, and applying AI to accelerate product development — this role is for you. About the Role We are looking for an Engineering Manager – AI Engineering who combines people leadership, technical depth, and hands-on programming expertise. You will lead a high-performing engineering team that builds intelligent, scalable, and production grade systems leveraging AI, automation, cloud, and modern full-stack frameworks. This is a hybrid role that blends AI engineering, hands-on development, delivery management, and team leadership. Key Responsibilities AI Engineering Leadership • Lead teams building AI-powered applications, intelligent automation, and data driven solutions. • Guide engineers on integrating LLMs, vector search, prompt engineering, and AI pipelines into products. • Partner with AI/ML specialists to convert POCs into scalable production systems. Hands-On Technical Contribution (Must be 30–40% hands-on) • Contribute actively to codebases using Node.js, Python, React.js, Angular, and related frameworks. • Design microservices, APIs, and cloud-native applications with AI components embedded. • Perform code reviews, provide architectural direction, and ensure high engineering standards. • Build reusable components, utilities, and internal tooling that accelerate AI delivery. Delivery & Execution • Own delivery excellence across sprints — scope planning, engineering estimations, prioritization, dependency management, and stakeholder alignment. • Drive high-quality, on-time delivery for AI and application engineering initiatives. • Ensure strong CI/CD, DevOps automation, and observability practices within the team. People Leadership • Lead, mentor, and coach a team of 6–12 engineers, AI developers, and tech leads. • Conduct 1:1s, performance reviews, skill assessments, and career coaching. • Hire strong engineering talent and ensure smooth onboarding and competency growth. • Build a culture of ownership, innovation, continuous learning, and experimentation. Architecture & Technical Direction • Work closely with architects to define scalable AI + application architectures. • Lead design discussions around distributed systems, API contracts, data flows, and model integration. • Evaluate new AI tools, frameworks, and cloud services; make recommendations for adoption. Cross-Functional Collaboration • Partner with Product Managers, UX designers, AI/ML engineers, and DevOps teams to deliver cohesive solutions. • Translate business problems into technical solutions with clear trade-offs and measurable impact. • Communicate progress, risks, and technical decisions clearly to stakeholders and customers. Qualifications Must Have • 8–14+ years of engineering experience with 2–5+ years in team/people management. • Strong hands-on programming expertise in: o Node.js o Python o React.js o Angular • Experience delivering AI-enabled applications, generative AI features, or ML integrated systems. • Solid understanding of microservices, distributed systems, API design, and cloud platforms (AWS/Azure/GCP). • Proven ability to lead engineering teams and deliver complex projects end-to end. Good to Have • Experience with vector DBs (Pinecone, Qdrant, Weaviate, PGVector). • Knowledge of LLM orchestration (LangChain, LlamaIndex, custom pipelines). • Exposure to MLOps, model deployment, and AI observability. • Experience with enterprise consulting/client-facing delivery.