Junior Autonomous Systems Engineer

1–2 years • Hybrid • New Delhi • AI Systems Engineer • JVM / Python • Autonomous / Agentic Systems

We are building Exord Systems across the US, Germany, and India.

Many of the systems that keep the real world running still waste extraordinary amounts of human effort on operational work.

Across healthcare, insurance, finance, manufacturing, and public systems, extraordinary people spend their time on operational motion instead of impactful work.

We believe computation should absorb the worst parts of operational work so humans can spend more of their lives building, improving, solving, and creating.

Exord is building Decision Compute Infrastructure (DCI) , the infrastructure layer for reliable autonomous operations in the real world.

Think less: AI app. Chatbot. Prompt engineering. Workflow automation.

Think more: Databases. Distributed systems. Execution infrastructure. Control planes , but for compound AI systems.

Our founders have built and deployed large-scale production AI systems in complex enterprise environments, including some of Europe’s large-scale operational AI deployments. We are also part of the NVIDIA Inception Program.

Links to our talks and open source projects we lead in Eclipse Foundation.

https://www.notion.so/EXORD-SYSTEMS-INC-2c8ca995414880f48d17c4c80b561dbd?source=copy_link

That means systems engineering:

• See, explore, work with customers to understand the shape of a domain
• AI model assembly systems
• agent harnesses from the ground up
• observability and debugging infrastructure
• compilers / interpreters for decision execution
• execution runtimes
• control and execution planes

All driven by real-world operational impact.

These systems are designed to run autonomous operations where reliability matters deeply and failure is not casually acceptable like Financial Services & Industrial lines.

Depending on your strengths:

• building neuro-symbolic AI systems powering autonomous decision systems
• assembling AI models into reliable production systems
• creating observability, debugging, and evaluation systems
• building execution runtimes and control planes
• helping convert ambiguous customer operational problems into working infrastructure on DCI
• designing systems that reason safely under uncertainty

You likely have 1–2 years of experience

We care about builders.

Strong signals:

• brutally outcome-driven mindset*(we care about one metric: how quickly can 1 engineer remove hundreds of hours of human effort in single-digit weeks where we deply )*
• you have shipped real systems and taken ownership
• side projects you actually completed
• GitHub work we can inspect
• hackathon / builder mentality
• curiosity about systems, infrastructure, distributed computing, and how AI gets operationalized

Technical comfort:

• Kotlin / JVM and Python strongly preferred
• LLM / applied AI systems
• systems engineering fundamentals
• data structures + systems thinking
• database engines / distributed systems familiarity
• familiarity with open-source models and fine-tuning efforts is a strong plus

You may thrive here if:

• you obsessively build things
• you like hard systems problems
• you enjoy figuring things out from incomplete information
• you care about real-world impact
• you want founder proximity
• you want ownership from day one
• you want to help shape a world-class company

We are a distributed founder-led team across Germany, India, and soon US.

Culture matters deeply here.

We optimize for:

• trust
• ownership
• technical honesty
• speed of learning
• respect for builders
• low ego, high standards

We do not optimize for bureaucracy, management theater, or hierarchy for its own sake.

Strong people thrive when given difficult problems, context, and trust.

We provide market compensation for stability.

But this is built for builders.

If you create outcomes and help grow the company, your upside can materially exceed your base, even reaching 2× total compensation in year one.

We groom mini-founders here: people who take ownership, think beyond their role, and help build the company

Exposure to a frontier computing ecosystem , NVIDIA, Google, E2B, and other cutting-edge infrastructure companies , through learning, collaboration, and ecosystem access.

Send your application to [email protected]

Subject: Autonomous Systems Engineer : [Your Name]

Include:

• CV / LinkedIn
• GitHub, open source contributions, and projects you’ve built
• One short write-up on something real you worked on*(what it did, your role, what worked, what broke, what you learned)*
• What made you apply?