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

India·PuneRemotelead

EngineeringEngineering Manager

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

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

Requirements Summary

• 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).

Technical Tools

awsdatadogelasticsearchgrafanajavascriptlangchainnetsuiteprometheuspythonreactsalesforceagilecode-reviewdata-analysisdistributed-systemsmachine-learningmentoringsecurity-best-practicessystem-design

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

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.