- Workplace
- Remote, Hybrid
- Type
- Full-time, Contract, Internship
- Department
- Engineering
- Seniority
- Manager
- Source
- Freshteam
Description
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.