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Senior AI Engineer - Harness Engineering (Kimchi)
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Why Kimchi?
Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters - now we're building the execution layer where agents do real work.
Our Infrastructure today: multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API, and deployment flexibility from our GPUs to your VPC. The inference layer is the foundation. What we're hiring for sits on top of it: coding agents, agent runtimes, orchestration systems, and the reliability engineering that makes them actually finish things.
Tech Stack: TypeScript, Go, Kubernetes, AWS/GCP/Azure, MCP, Prometheus/Grafana/Loki, GitLab CI, ArgoCD.
Why harness engineering matters here
OpenAI and Anthropic ship models. They also ship one harness each - the scaffolding that turns a raw model into something that can plan, execute, recover, and complete work. We ship a different kind of harness: one built for cost-conscious, long-horizon autonomy, running on inference infrastructure we control end-to-end.
A decent model with a great harness beats a great model with a bad harness. We've watched this play out. The gap between what today's models can do and what you see them doing is largely a harness gap - and that gap is where we operate.
What you'll build
The ratchet.
Every time our agent makes a mistake, we engineer a solution so it never makes that mistake again. That means hooks that enforce constraints the model "knows" but forgets: pre-commit lint checks, permission gates, context compaction before the window fills. Success is silent, failures are verbose.
Long-horizon execution.
Our harness is built around spec-driven autonomy: meta-prompting, fresh context per task, worktree-per-slice git strategy, automatic replanning, crash recovery, stuck detection. We're implementing Ralph loops - when the model tries to exit, we intercept and reinject the goal into a fresh context. The agent reads state from disk and continues. Multi-session, multi-day work, without context rot.
Planner/executor splits.
Planning with a reasoning model, executing with a fast one, evaluating with a third. Separating generation from evaluation beats self-verification because agents reliably skew positive when grading their own work.
The harness surface.
CLI, TUI, MCP integration, sandboxed execution, telemetry. Our AGENTS.md is short - every line traces to a specific thing that went wrong. TypeScript on the surface, Go where it matters.
Memory and context.
Moving agents off laptops, giving them state that survives across sessions, managing context so information lands where it's actionable. Compaction, tool-call offloading, progressive skill disclosure.
What makes this different (with receipts)
You've seen the pitch: "we route to the best model." Everyone says that. Here's what we actually have:
- GPU infrastructure we own. Not just an API reseller. From GPU placement across clouds to the inference endpoint your agent calls - we control the cost curve.
- A harness-first thesis. We treat agent failures as configuration problems, not model problems. When we moved from a stock harness to our own, completion rates on internal benchmarks improved by 40%+ on the same model.
- Agents.md that earns every line. No brainstormed rules - every constraint in our system prompt traces to a real failure we saw and fixed.
Requirements:
- You've used AI coding agents in anger. Not demos - real work. You have opinions about Claude Code, Codex, OpenCode, Cursor. You know what it feels like when an agent gets stuck and why.
- Strong TypeScript or Go in production. Comfort moving between them. Our surface is TypeScript; our core is Go.
- You think in harness terms. You read "the agent hallucinated" and your first instinct is to ask what context it was missing, what hook should have caught it, what constraint should exist.
- You drive features end-to-end. Design → build → ship → measure → iterate. We don't have layers that absorb ambiguity for you.
Responsibilities:
- Build and evolve the agent harness - ship hooks, permission gates, and context compaction. Every AGENTS.md constraint traces to a failure you personally diagnosed.
- Own long-horizon execution - multi-session task completion via spec-driven prompting, worktree-per-slice git, Ralph loop recovery, and stuck detection. Completion rate is your metric.
- Architect planner/executor/evaluator pipelines - planning with a reasoning model, execution with a fast one, evaluation with a third. No self-verification.
- Manage agent memory and context - state persistence across sessions, context compaction, tool-call offloading. Zero context rot on multi-day work.
- Own the harness surface - CLI, TUI, MCP integrations, sandboxed execution, telemetry. TypeScript on the surface, Go where it matters.
What success looks like (after 6 months):
- You've shipped at least one major harness feature end-to-end: designed it, built it, measured it, iterated.
- You've added constraints to our AGENTS.md based on failures you personally observed and diagnosed.
- You've improved a measurable reliability metric - completion rate, context efficiency, or cost per successful task.
- You've formed strong opinions about where our harness is load-bearing and where it's dead weight.
What’s in it for you?
- Competitive salary (€6,500 - €9,000 gross, depending on the level of experience).
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Ready to apply?
Apply to Cast AI
Welcome to Planet. We believe in using space to help life on Earth.
Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.
As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.
About the Role:
We are looking for a Senior Product Designer to design and launch geospatial web applications that transform satellite data into mission-critical intelligence. You will help build our next-generation monitoring platform, designed to provide near real-time observability of any location on Earth.
While our foundation includes environmental and agricultural monitoring, we are rapidly expanding our core capabilities to support Defense & Intelligence (D&I) and Global Monitoring Services. You will play a key role in evolving this platform into a scalable system built for both tactical decision-making and global-scale analytics.
You bring a track record of designing sophisticated, data-heavy geospatial applications, ideally featuring AI-powered tools or complex enterprise data visualization. You will help shape a frontend architecture that remains performant and intuitive for everything from regional security assessments to global resource management.
This is a full-time, hybrid role requiring 3 days per week in our Berlin, Haarlem, Graz or Ljubljana offices.
Impact You’ll Own:
- Product Design Ownership: Lead the end-to-end process from discovery and prototyping to high-fidelity design.
- GIS Interface Design: Create intuitive, powerful geospatial interfaces that translate complex data into actionable insights.
- User Research: Gather feedback and conduct user interviews in close collaboration with product partners.
- UI Architecture: Define and architect the interaction patterns and design system for Planet’s monitoring platform.
- Cross-functional Collaboration: Partner with product and engineering to ensure top-tier design quality.
- Culture: Help build and elevate Planet's design culture.
What You Bring:
- 6+ years of experience designing complex digital products, especially bringing new technical, SaaS, or B2B products to market.
- Bachelor’s degree in design or an equivalent field.
- End-to-end experience: taking projects from early ideation to live software, and iterating based on feedback.
- Proficiency in Figma and enterprise design systems.
- A solid portfolio demonstrating complex professional projects, your process, and the resulting impact.
- Experience conducting lightweight user research and usability testing, synthesizing findings into actionable improvements.
- A solid core skillset: UX/UI, interaction design, rapid prototyping, accessibility, and visual design principles.
- Ability to work quickly in undefined and ambiguous environments
What Makes You Stand Out:
- Advanced experience with GIS, geospatial data, or remote sensing.
- An AI-native mindset, utilizing AI tools for creative ideation, design, or generation.
- A strong track record of taking ownership to communicate and solve complex, systemic problems.
- Deep empathy for both end-users and internal stakeholders, expertly balancing usability with business needs.
- Experience thriving in growth-focused, highly collaborative team environments.
Application Deadline:
May 26, 2026 at 23:59 (11:59p PT)
Benefits While Working at Planet:
These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.
- Paid time off including vacation, holidays and company-wide days off
- Employee Wellness Program
- Home Office Reimbursement
- Monthly Phone and Internet Reimbursement
- Tuition Reimbursement and access to LinkedIn Learning
- Equity
- Volunteering Paid Time Off
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Why we care so much about Belonging.
We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.
EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.
Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.
Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.
Ready to apply?
Apply to Planet
Welcome to Planet. We believe in using space to help life on Earth.
Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.
As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.
About the Role:
As a Senior Software Engineer on the Calibration and Validation (CalVal) team, you will be a key contributor to the integrity and evolution of our geometric models. You will design and implement the automated, scalable processes required to ensure our products consistently exceed rigorous geometric specifications and SLAs. You will develop photogrammetric models, error budgets, and calibration concepts for our high-resolution and next-generation monitoring programs, ensuring spatial integrity across diverse fleets. Additionally, you will drive ongoing performance characterization and serve as a lead investigator for complex image quality issues—troubleshooting sensor models and geometric anomalies to architect the long-term fixes that maintain Planet's high standard of spatial data.
This is a full-time, remote position based in Slovenia. If located near an office, you are expected to work from that office 3 days per week.
Impact You’ll Own:
- Perform ongoing space imaging operations, geometric calibration activities and performance characterization
- Design and implement automated scalable processes to calibrate hundreds to satellites to ensure that our products meet and exceed specifications and SLAs
- Collaborate within a cross functional team to develop performance models, error budgets and calibration concepts for new very high resolution constellation
- Troubleshoot geometric image quality issues and developing long-term mitigations and fixes
What You Bring:
- 10+ years of industry experience with statistical processing and analysis techniques of large sets of measurement data
- Bachelor’s degree in Photogrammetry, Engineering, Physics, or Mathematics, relevant to geometric characterization of space imaging platforms
- Hands-on, can-do attitude, great interpersonal skills, and ability to collaborate effectively
- Understanding of end-to-end image processing chain – from sensor electronics and image ancillary data to geometric characterization
- Passion for Programming, Photography, Remote Sensing, Earth Sciences, and Geography
- Extensive experience leveraging scientific computing using Python in a Unix/Linux environment
- Knowledge of how to scale code with cloud computing resources, e.g. AWS or GCP
- Practical experience in solving problems by exploiting large cloud-based datasets
What Makes You Stand Out:
- 5+ years remote sensing experience + track record of software automation of analysis of imagery/maps
- Master’s degree or PhD in a relevant scientific/engineering field
- Hands-on experience with calibrating and operating very high resolution optical satellites
- Familiarity with design and construction of imaging/capture/camera hardware
- Active contribution to open source projects
Application Deadline:
June 11, 2026 by 11:59p / 23:59 CET (Central European Time)
Export Control Requirements:
Planet Labs Germany GmbH is authorized to receive U.S. export-controlled information at Planet under an export license issued by the Bureau of Industry and Security. This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.
Benefits While Working at Planet:
These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.
- Paid time off including vacation, holidays and company-wide days off
- Employee Wellness Program
- Home Office Reimbursement
- Monthly Phone and Internet Reimbursement
- Tuition Reimbursement and access to LinkedIn Learning
- Equity
- Volunteering Paid Time Off
#LI-REMOTE
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Why we care so much about Belonging.
We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.
EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.
Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.
Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.
Ready to apply?
Apply to Planet