Agentic Full Stack Engineer

InCommon; India; Remote; INR 180,000 - 300,000; Full time

Job summary

InCommon is seeking a high-agency Agentic Full-Stack Engineer to build production-grade SaaS products with AI coding agents. You will own features end-to-end, build scalable cloud-native apps, and develop agentic workflows using tools like Claude to accelerate development while ensuring high engineering quality.

Collaboration spans India and the US with occasional monthly travel to Chennai. You’ll work across the full stack, implement AI-powered automations, and review AI-generated outputs with

Qualifications

• 3+ years of experience building production-grade SaaS applications.
• Strong full-stack development experience and ability to build agents from scratch (Harness & Evals).
• Hands-on experience with AI coding agents such as Claude or Cursor.
• Experience building agentic AI workflows, automation, or AI-powered applications.
• Strong experience with AWS or another public cloud.
• Good understanding of REST APIs, microservices, and data modelling.
• Experience with containerization, serverless, and event-driven architecture.
• Ability to review and validate AI-generated code, designs, and specifications.
• Strong understanding of security, data sensitivity, and AI-related risks.
• Comfortable taking end-to-end ownership of features and projects.
• Strong problem-solving skills and autonomy.
• Comfortable collaborating with US and India-based teams, including occasional US evening meetings.

Responsibilities

• Own features from design to development, testing, and deployment.
• Build production-grade SaaS applications across the full stack.
• Develop agentic workflows and AI-powered capabilities.
• Collaborate with engineering teams in India and the US.

Skills

Full-stack development

AI coding agents

Cloud/AWS

APIs & microservices

Containerization

Serverless architecture

Automation workflows

AI review & validation

Security awareness

Autonomy & ownership

US-India collaboration

Tools

Claude

Cursor

Harness

Evals

AWS

Job description

Location:

Remote ( An expectation to travel to Chennai for important team and strategy meetings may be once in a month.)

Experience:

3+ years

Employment:

Full-time

About InCommon

InCommon helps global startups and businesses build, manage, and scale their teams in India.

We partner with growing companies to support their expansion through talent acquisition, Global Capability Centre (GCC) setup, compliance, payroll, and business operations.

Founded in 2023 and backed by Better Capital, InCommon works closely with companies to build strong teams across technology, AI, product, and leadership roles.

About the Client

We’re working with an AI-native cybersecurity company building a platform that helps organizations identify their most critical security risks, understand which vulnerabilities are actually exploitable, and take the right action before attackers do.

The company is building modern, AI-powered security solutions with a strong focus on automation, engineering quality, and secure-by-design development.

About the Role

We’re looking for a high-agency Agentic Full-Stack Engineer who enjoys building production-grade SaaS products and using AI coding agents as a force multiplier.

You’ll work across the full stack, build scalable cloud-native applications, develop agentic workflows, and use tools like Claude to accelerate development while applying strong engineering judgment to review and validate AI-generated output.

You’ll have ownership from design to development, testing, and deployment, working closely with engineering teams across India and the US.

What We’re Looking For

• 3+ years of experience building production-grade SaaS applications
• Strong full-stack development experience and comfortable with building agents from scratch (Harness & Evals).
• Hands-on experience with AI coding agents such as Claude, Cursor, or similar tools
• Experience building agentic AI workflows, automation, or AI-powered applications
• Strong experience with AWS or another public cloud
• Good understanding of REST APIs, microservices, and data modelling
• Experience with containerization, serverless, and event-driven architecture
• Ability to review and validate AI-generated code, designs, and specifications
• Strong understanding of security, data sensitivity, and AI-related risks
• Comfortable taking end-to-end ownership of features and projects
• Strong problem-solving skills and ability to work with a high degree of autonomy
• Comfortable collaborating with US and India-based teams, including occasional US evening meetings