Engineering Manager, Full Stack - Gen AI (India) (Remote)

Codvo Private Limited; India; Remote; INR 2,500,000 - 3,500,000; Full time

Job summary

A tech company specializing in AI solutions is seeking an experienced Senior Technical Lead / Engineering Manager to drive technical leadership and innovation in full-stack software development. The ideal candidate will have over 10 years of software engineering experience, expertise in AI/ML solutions on AWS, and a strong background in mentoring engineering teams. This position offers a unique opportunity to work on advanced data platforms in a collaborative environment.

Qualifications

• Proven experience in leading and mentoring engineering teams.
• Hands-on experience in full-stack development, especially AI-focused.
• Deep knowledge of cloud security best practices.

Skills

10+ years in software engineering

Technical leadership experience

Expertise in backend languages (Python, Node.js)

AI/ML cloud-native solutions

Excellent communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

AWS Stack (Bedrock, OpenSearch, Lambda)

React

Job description

Senior Technical Lead / Engineering Manager, Full Stack - Gen AI

About Us

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting‑edge technology.

Basic Qualifications

• 10+ years of overall professional experience in software engineering, with a clear progression into technical leadership.
• 3+ years of experience in a formal technical leadership or engineering management role (e.g., Tech Lead, Architect, or EM).
• 5+ years of hands‑on-keyboard experience in backend, AI, or full‑stack engineering. You must have a strong "builder" background.
• Expert‑level proficiency in a primary backend language (e.g., Python, Node.js) and object‑oriented design principles.
• 4+ years of experience architecting, developing, and delivering AI/ML or cloud‑native solutions on AWS.
• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Proven experience in leading, mentoring, and growing engineering teams, fostering a collaborative and high‑trust environment.
• Demonstrable experience owning end‑to‑end project delivery, managing technical risks, and ensuring timely execution of milestones.
• Excellent communication and interpersonal skills, with the ability to build consensus and align technical and non‑technical stakeholders.
• Demonstrable expertise in system design and architecture of complex, scalable, and secure distributed systems.
• Experience across the full software development lifecycle (SDLC), from requirements gathering to deployment and maintenance.
• Excellent verbal and written communication skills; ability to articulate complex technical concepts to both engineers and non‑technical stakeholders.
• Deep, hands‑on expertise with the modern AWS stack (e.g., Bedrock, OpenSearch, Kendra, Lex, EKS/ECS, Lambda, API Gateway, S3, RDS, CloudWatch, IAM).

Preferred Qualifications

• Master's in Computer Science, Machine learning, or a related field.
• Specific, deep experience with Generative AI, including RAG pipelines, agentic frameworks (e.g., LangChain, LlamaIndex), and model orchestration (e.g., Amazon Bedrock).
• Direct experience building custom data analysis "skills" or models, especially for non‑standard data (e.g., scientific, financial, or time‑series data).
• Experience leading teams that build complex, data‑driven UIs (e.g., React) and analytics dashboards.
• Hands‑on full‑stack development experience (React + Node.js + Python).
• Proven track record of integrating with third‑party enterprise APIs (e.g., NetSuite, Salesforce, or other CRM/ERPs) and handling complex data mapping and authentication.
• Expertise in designing for non‑functional requirements: high availability, low‑latency, and robust security.
• Deep knowledge of cloud security best practices (e.g., IAM policy, network security, encryption, WAF, compliance).
• Experience with cloud cost optimization and FinOps principles.
• Proficiency with modern observability stacks (e.g., OpenTelemetry, Prometheus, Grafana, Datadog).
• Experience as the primary technical point of contact in client‑facing engagements.
• Expertise in running agile sprints, conducting code reviews, and managing technical debt.