Senior Agent Systems Engineer

AI-Native Developer Platform (Vibe Coding)

Location: Noida, India

Employment Type: Full-Time

Reports To: Co-Founder / CTO

About Us:

We are building a next-generation AI-native development platform that enables humans

and autonomous agents to collaboratively build, modify, test, and deploy software

systems. Unlike traditional AI coding assistants, our platform is stateful, agent-driven,

infrastructure-aware, multi-step and versioned, and designed for production-grade

workflows. We operate at the intersection of code collaboration systems, containerised execution

environments, orchestrated infrastructure, and autonomous agent systems powered by

LLMs.

We are looking for a Senior Agent Systems Engineer to design and build the

orchestration, execution, and infrastructure layers that power our coding agents.

This is not a prompt-engineering role. This is a production systems engineering role with

AI orchestration at its core.

Role Overview:

You will architect and implement the core systems that allow AI agents to:

- Modify repositories across multiple commits

- Execute tests in sandboxed environments

- Coordinate multi-step plans

- Interact with external tools and APIs

- Deploy builds to staging or production

- Roll back safely on failure

- Maintain persistent state across sessions

You will work closely with the Co-Founder/CTO to define the long-term architecture of

agent orchestration and execution.

Core Responsibilities:

- Design agent orchestration frameworks (planner executor validator patterns)

- Build robust execution pipelines for long-running AI tasks

- Implement structured tool-calling systems

- Design memory and state persistence strategies

- Create sandboxed code execution environments

- Implement rollback and recovery mechanisms

- Establish observability for agent behaviour (logs, metrics, tracing)

- Design evaluation and regression testing frameworks for agent quality

- Ensure reliability, idempotency, and fault tolerance

Required Qualifications:

Distributed Systems & Infrastructure Engineering

Strong experience designing and operating production systems involving:

- Event-driven architectures

- Job queues and async workers

- Retry strategies and idempotency

- Failure isolation and recovery

- Distributed locking or coordination

- Observability (metrics, logs, tracing)

- Scalable backend services

Agent Architecture & LLM Orchestration

Demonstrated experience building:

- Tool-calling agents

- Structured-output LLM workflows

- Multi-step reasoning pipelines

- Memory systems (short-term vs persistent state)

- Context window management strategies

- Prompt versioning and evaluation frameworks

- Deterministic wrappers around probabilistic models

Secure Execution & Deployment Infrastructure

Experience with:

- Sandboxed code execution

- Containerisation and resource isolation

- CI/CD automation

- Safe deployment strategies (rollback, staged deployment)

- Secrets management

- Resource limits and environment isolation

Merit-Based Qualification:

We prioritise demonstrated capability over years of experience. If you can design and

build production-grade agent orchestration systems at a high level, we encourage you to

apply.

Ideal Candidate Profile:

- Systems thinker with strong architectural judgment

- Comfortable working at the intersection of AI and distributed systems

- High ownership mindset

- Bias toward reliability and production quality

- Able to reason deeply about failure modes

- Interested in shaping how autonomous systems build software

Compensation:

Competitive salary and meaningful equity.

This is a high-impact, foundational engineering role with long-term leverage.

Shaere your resumes at hr@novostack.com