Principal AI Systems Engineer, Kindo
Agentic Platforms
$250-330k
+ Equity
Workflow automation & data security
Be an early applicant
Workflow automation & data security
21-100 employees
Be an early applicant
$250-330k
+ Equity
21-100 employees
Company mission
To provide the tools, security and support needed to manage AI across workforces.
Role
Who you are
- Have deep expertise designing and operating complex backend or distributed systems in production
- Have built and evolved platform-level architectures that remained durable under rapid change
- Have built LLM-powered or AI-native systems beyond demos, with real users, constraints, and failure modes
- Demonstrate exceptional architectural judgment around reliability, security, observability, and long-term system evolution
- Have invented or introduced foundational abstractions, workflows, or architectural approaches that materially improved system capability or engineering effectiveness
- Actively track emerging tools, models, and approaches and translate the best of them into production systems
- Use AI as a core part of your engineering workflow, not as an occasional convenience
- Operate with exceptional ownership and take systems end-to-end, including long-term evolution
- TypeScript required, Python strongly preferred
- Strong SQL proficiency
- Experience with production infrastructure; Docker/Kubernetes experience is a plus
- Familiarity with enterprise security patterns is a plus
- Domain familiarity with DevOps, SecOps, or infrastructure automation is a plus
What the job involves
- You will define and evolve the architectural foundations of Kindo’s agent platform
- This is applied systems engineering at the frontier of AI-native development, not ML research and not chatbot wrappers
- You’ll work on agent execution frameworks, memory architectures, multi-model execution, secure tool-calling integrations, and the platform primitives that determine what autonomous systems can reliably do
- This role requires invention and unusually strong technical judgment. Many of the paradigms for agentic systems are still emerging
- You’ll continuously track the ecosystem, explore new approaches, prototype quickly, and decide what becomes the platform’s durable foundation
- You will identify the highest-leverage architectural opportunities, the failure modes most likely to bite us, and the guardrails and abstractions that let the system scale safely
- Principal engineers at Kindo are builders and inventors who help determine what the future of agentic systems should look like, while ensuring the platform remains reliable, secure, observable, debuggable, and maintainable under real-world conditions
- Agent execution architectures, including autonomous task loops, scheduling, triggers, control planes, and failure isolation
- Retrieval and memory architectures, including persistent, structured, and contextual memory systems
- Multi-model routing and orchestration across providers, balancing quality, latency, cost, and failure modes
- Tool-calling and integration frameworks for safe interaction with external services and enterprise environments
- Reliability, security, and operability foundations, including evaluation, observability, auditing, and recovery paths
- Core platform primitives and architectural patterns that enable entirely new autonomous capabilities safely
- AI is a first-class tool in how we engineer. You use AI across design, prototyping, implementation, testing, debugging, and incident response, and you continuously refine workflows that increase leverage without sacrificing quality
- At this level, you also help define the engineering paradigm itself: how we use autonomous agents and AI-driven workflows to compound velocity over time while minimizing slop, security risk, and architectural drift
- You build with discipline. You create boundaries, verification strategies, and operational guardrails so systems remain understandable and controllable as autonomy increases. You ensure the platform can evolve rapidly without losing reliability and security
Application process
- Send us:
- Your work. A portfolio, demo, GitHub profile, blog post, recorded walkthrough, or any evidence of AI systems you’ve built. We want to see how you think, not just what you’ve done
- A brief note on what excites you about agentic systems and where you think the hard problems are
- Your resume, but know that the first two items matter more
- We’ll move fast. The interview process is designed to see how you actually work, not quiz you on trivia
Our take
Kindo is making AI safer for adoption by enterprises. In the past, third parties would have to aggregate cloud apps and centralise control of AI on behalf of a company wishing to use the software, wasting time and leading to potential security breaches. Through Kindo, customers can customise and centralise control of AI software themselves.
Kindo’s solution is an API that gives enterprises the freedom to manage AI across their entire workforces, while keeping the software centralised and compliant with regulations. Kindo claims that all AI models are supported on its platform, and deploys enterprise-level security in-house and in the cloud.
With a surge in companies using AI, Kindo’s product offers a new level of agency for companies hesitant to let third-party software into its systems. It's unsurprising that investors have been attracted to Kindo, which has used funding to enhance its systems and embark upon further R&D.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Jul 2024
$20.6m
EARLY VC
Sep 2023
$7m
SEED
Total funding: $27.6m
Company benefits
- Equity package
- Comprehensive health, dental, and vision insurance
- Unlimited vacation and paid time off policies
Company HQ
Little Tokyo, Los Angeles, CA
Leadership
Tony Wong
(SVP & Co-founder)Previously VP of Product at Upside.gg, Founder at Applied Agile and Digital Onion, and was an Agile Organisational Designer at Splunk.
Ron Williams
(CEO & Co-founder)Also the Limited Partner at First Close Partners. Previously Investor at Andela, Investor at Flutterwave and Seed Investor at Coily.
Charlie Hulcher
(Head of Technology & Co-founder)Previously Software Engineer at OpenSea, Senior Distributed Systems Engineer at Subspace, Engineering Manager at Bird and was CTO of UpChannel.
Bryan Vann
(CTO & Co-founder)Was a Senior Engineering Director at Google alongside a number of other roles there. Was also a Software Consultant at Clutch Legal Staffing and an Extreme Blue Engineering Intern at IBM.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 3 more jobs at Kindo