Engineering Manager – Fullstack & AI Engineering

About the Company

Codvo.ai is a next-generation technology consulting and product engineering company focused on delivering AI-driven digital transformation. We combine 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.

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 Proofs of Concept (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 built in.
• Perform code reviews, provide architectural direction, and make sure engineering standards are high.
• Build reusable components, utilities, and internal tooling that speed up AI delivery.

Delivery & Execution

• Own delivery excellence across sprints, including scope planning, engineering estimations, prioritization, dependency management, and stakeholder alignment.
• Drive high-quality, on-time delivery for AI and application engineering initiatives.
• Make sure the team has strong CI/CD, DevOps automation, and observability practices.

People Leadership

• Lead, mentor, and coach a team of 6–12 engineers, AI developers, and tech leads.
• Conduct 1:1 meetings, performance reviews, skill assessments, and career coaching.
• Hire strong engineering talent and make sure onboarding and competency growth are smooth.
• Build a culture of ownership, innovation, continuous learning, and experimentation.

Architecture & Technical Direction

• Work closely with architects to define scalable AI plus application architectures.
• Lead design discussions around distributed systems, API contracts, data flows, and model integration.
• Evaluate new AI tools, frameworks, and cloud services, and 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.

Requirements

• 8–14+ years of engineering experience with 2–5+ years in team or people management.
• Strong hands-on programming expertise in:
  • Node.js
  • Python
  • React.js
  • 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 from start to finish.

Preferred Qualifications (Nice to Have)

• Experience with vector databases (Pinecone, Qdrant, Weaviate, PGVector).
• Knowledge of LLM orchestration (LangChain, LlamaIndex, custom pipelines).
• Exposure to MLOps, model deployment, and AI observability.
• Experience with enterprise consulting or client-facing delivery.

Location

Remote – India