Live opening · Posted 3 days ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
Agentic Full-Stack Engineer
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
Work arrangement
Yes
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