Company Description
Leena AI is a global leader in delivering “AI Colleagues” that empower employees to efficiently get answers and perform tasks across IT, HR, Finance, Procurement, and beyond via a single intelligent interface. Trusted by hundreds of enterprises worldwide including brands like Nestlé, Coca-Cola, and Sony, Leena AI helps organizations reduce manual requests by 70% and improve productivity. The platform offers rapid deployment through integration with 1000+ enterprise systems like SAP, ServiceNow, and Workday, along with customizable workflows. Recognized as a leader in Agentic AI by Gartner, Leena AI serves millions of employees daily. Founded in 2018, Leena AI is headquartered in New York with the Tech/R&D office in Gurugram, India.
Why this role exists:
We’re hiring AI-native engineers who treat AI as a core collaborator—not a side tool—to work on the hardest cross-cutting problems: platform architecture, internal developer tooling, and production infrastructure. This is not an “AI team” role. This is a software engineering role where AI fluency is the baseline, not a bonus.
What you will do:
Architect and build
- Design and implement core platform services that power Leena AI’s agentic workflows—agent orchestration, context management, tool routing, and evaluation infrastructure.
- Own infrastructure decisions across compute, deployment, and reliability for production AI workloads.
Operate as an AI-native engineer
- Use AI coding agents (Claude Code) as your default working mode—not occasionally, but as the foundation of how you build.
- Run multiple AI agent sessions in parallel. Write structured specifications and context files (Claude.md, rule files) that enable AI to produce high-quality first drafts.
- Verify, debug, and harden AI-generated code. You are the quality gate—not a passenger.
Lead cross-cutting initiatives
- Work on strategic projects that cut across product, platform, and infrastructure.
- Drive technical standards for AI-native development across the engineering org. You’ll be a force multiplier, not just a contributor.
- Mentor other engineers in AI-native workflows and help accelerate the team’s transition from AI-assisted to AI-native.
What we’re looking for:
We evaluate on following dimensions. Raw coding speed is not one of them.
Systems and architectural judgment
- 5+ years of professional software engineering experience building production systems at scale.
- Fluency in at least one modern stack (TypeScript/Node,
Python,
Go).
- You can decompose an ambiguous problem into well-bounded components, define interfaces, and make durable architecture decisions under uncertainty.
- You understand distributed systems, API design, data modeling, and production reliability—not from textbooks, but from having been paged at 2 AM.
AI tool proficiency (agent leverage)
- Demonstrated daily use of AI coding tools (Cursor, Claude Code, or equivalents) in production workflows—not toy projects.
- You structure problems for AI consumption: writing specs, context files, and decomposed tasks that let AI agents produce high-quality output.
- You know when AI helps and when it doesn’t. You can articulate failure modes, model selection trade-offs, and verification strategies.
- Experience with context engineering—managing prompt context, rule files, codebase documentation—to maximize agent effectiveness.
Verification and quality instinct
- Strong testing discipline—you treat TDD and automated testing as an AI supervision mechanism, not just a quality practice.
- You review AI-generated code with the same rigor (or more) that you’d review a junior engineer’s PR.
- You catch subtle issues: security vulnerabilities, N+1 queries, race conditions, poor error handling—especially in AI-generated output.
Communication and collaboration
- Clear written and verbal communication. You can explain architectural decisions to both engineers and business stakeholders.
- You write specifications that are precise enough for both humans and AI agents to execute against.
- Comfortable working directly with senior leadership and influencing technical direction.