Artificial Intelligence Engineer

Company: Damco Solutions Private Limited

Website: Visit Website

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Business Type: Enterprise

Company Type: Product & Service

Business Model: B2B

Funding Stage: Pre-seed

Industry: Software Development

Salary Range: ₹ 20-30 Lacs PA

Job Description Job description What You Do You build software systems using AI at a speed and quality that wasn't previously possible. You're an architect-level thinker who uses AI as a power tool - not a junior developer with a copilot. You own architecture, code quality, infrastructure, and the effectiveness of the AI agents themselves.

You are not a traditional developer waiting for tickets. You are not isolated from the business. You are half of a two-person team that owns a project.

The Mindset Build like it's your product. Not "the client's app" your system. Would you deploy this to your own users?

• Automate relentlessly. If you're manually deploying, manually running tests, manually checking for regressions - automate it.
• Don't stop at "it works." After deployment, the system needs to be observable. Error tracking. Performance monitoring. Usage analytics.
• Know where AI breaks. Review AI-generated code with the same rigor you'd apply to a junior developer's PR.
• Understand the business problem. Code that solves the wrong problem is worse than no code at all.

Principles

• Fix the instruction, not just the output. When AI generates bad code, update CLAUDE.md so it never happens again.
• Honest over optimistic. "This will take a week" is better than "maybe 2-3 days" followed by a week.
• Architecture serves the outcome, not your preferences. The simplest one that serves the business outcome.
• Ship small, ship often. One PR, one change. Tests pass. Docs u
• Pdated.
• Own the full stack. Front-end, back-end, database, infrastructure, CI/CD, observability.
• Build for debuggability. Structured logs. Error tracking. If an AI agent can't diagnose a production issue from your logs, your observability isn't good enough.
• Make the ES better. When the ES asks a technical question, teach don't just answer.

Daily Rhythm Morning (30 min): Check the control room for new requirements, decisions, or priority changes. Review overnight CI/CD results and monitoring alerts. Check Linear for current sprint priorities.

During the day: Build features using AI (Claude Code, Cursor). Review and harden AI-generated code. Architecture work. Infrastructure and observability management. Pair with the ES when they need technical input.

When the ES runs a customer call with technical content: Join for the technical portions. Provide feasibility input in real-time. Follow up on technical action items immediately after.

End of day (15 min): PR descriptions clear and linked to Linear issues. Build status updated in Linear. Blockers flagged to the ES.

Capabilities Technical: 2-3 shipped applications end-to-end. Strong in 2-3 languages. Database design and query optimization. System architecture. Cloud infrastructure in production. CI/CD and DevOps. Security (OWASP, auth patterns, data handling).

AI-native development: Expert with Claude Code and/or Cursor. Directs AI to build complete features. Knows when to trust AI and when to rewrite. Writes effective CLAUDE.md instructions.

Communication: Explains technical decisions to non-technical people. Gives honest estimates. Clear PR descriptions and architecture docs. Raises concerns proactively.

About Damco Damco Solutions Pvt. Ltd. is a global technology consulting and software services company with 30+ years of experience, delivering scalable and innovative digital solutions across Cloud, AI, Data, and Salesforce. With a strong presence in the US, UK, and India, we partner with startups, mid-sized businesses, and Fortune 500 clients to drive digital transformation and business efficiency. Our expertise spans custom software development, cloud-native applications, and intelligent automation, enabling organizations to build future-ready, high-performance systems.