Company

Engineering

LeadSoftwareEngineer(FullStack&AI)

₹35–60L ~AI est. India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Software Engineer (Full Stack & AI). Skills: Full Stack Development, AI/ML Integration, Cloud Architecture, Team Leadership. Lead engineering team. Drive technical direction”

Industry & Context.

Engineering
Problems you'll solve

Translate business requirements

What They're Looking For.

Must Have

5+ years software engineering experience, Senior or Lead Full Stack Engineer experience, Experience leading engineers, Experience integrating AI/ML, Experience designing cloud applications, Knowledge of CI/CD pipelines, Experience building scalable systems, Commitment to code quality, Experience mentoring engineers

Nice to Have

Experience in regulated industries, AI solutions in regulated environments, Responsible AI practices knowledge, Large-scale SaaS platforms experience, Advanced observability experience, Platform engineering experience, Infrastructure practices experience, Improving engineering culture experience, Hiring engineering teams experience, Emerging AI technologies passion

What You'll Do.

Lead engineering team

Drive technical direction

Drive delivery quality

Drive platform evolution

Align technical solutions

Evaluate AI capabilities

Prototype AI capabilities

Implement AI capabilities

Provide technical leadership

Conduct architecture reviews

Design cloud solutions

Build cloud solutions

Champion automated testing

Champion quality assurance

Champion engineering standards

Build CI/CD pipelines

Maintain CI/CD pipelines

Improve CI/CD pipelines

Communicate technical designs

Develop technical capability

Promote collaboration culture

Promote continuous improvement

Promote engineering excellence

Maintain technical documentation

How You'll Work.

Team & Collaboration

Cross-functional engineering team; Work with Product teams; Technical stakeholders; Non-technical stakeholders

Communication Scope

Technical designs; Technical risks; Technical progress; Non-technical stakeholders

Process & Methodology

Roadmap planning

Full Job Description

## Responsibilities Lead a cross-functional engineering team, driving technical direction, delivery quality, and platform evolution. Take ownership of the design, development, deployment, and maintenance of full-stack applications and services. Work closely with Product teams to shape requirements, influence the roadmap, and align technical solutions with business objectives. Evaluate, prototype, and implement AI-powered capabilities, including LLM-based features, intelligent automation, and AI-enhanced workflows. Provide technical leadership through architecture reviews, code reviews, and engineering best practices. Design and build scalable, secure, resilient, and observable cloud-based solutions. Champion automated testing, quality assurance, and engineering standards across the development lifecycle. Build, maintain, and improve CI/CD pipelines to support reliable and efficient software delivery. Communicate technical designs, risks, and progress effectively to both technical and non-technical stakeholders. Mentor and support engineers, helping to develop technical capability across the team. Promote a culture of collaboration, continuous improvement, and engineering excellence. Support recruitment, onboarding, and development of engineering talent. Maintain clear technical documentation to support knowledge sharing and long-term maintainability. ## Requirements 5+ years of professional software engineering experience. Proven experience as a Senior or Lead Full Stack Software Engineer. Experience leading engineers and delivering software solutions end-to-end. Demonstrated ability to drive delivery, improve engineering practices, and move products forward. Experience working closely with Product teams, influencing requirements and roadmap decisions. Hands-on experience integrating AI/ML capabilities into production software, including LLM APIs, prompt engineering, RAG architectures, or AI-powered workflows. Strong understanding of modern software architecture, de

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