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COSMOCHUTE

AI & Automation Engineer to support Lunar Engineering

COSMOCHUTE

Location
Onsite (Ahmedabad, Gujarat)
Employment
Full-time
Level
Senior Level
Posted 5 days ago

About the Role

Cosmochute is pioneering sustainable lunar logistics with a modular, reusable rover platform for the Moon's south pole. This role involves building the company's first AI and automation stack to streamline engineering workflows and integrate technical tools, directly supporting the mission to establish a sustainable presence beyond Earth.

Skills

AI engineering LLM APIs Prompt design RAG systems Python JavaScript TypeScript Microsoft Power Automate Docker Linux CI/CD GitLab SQL Vector search REST APIs Identity and access control

Benefits

  • Health insurance
  • Mental health support

Perks

  • Employee stock options

Full job details

About the role

You will be the first dedicated owner of our AI and automation stack, working directly with the founders and engineering leads. The job is to give every engineer a pre-configured AI assistant to support their work, our requirements and our released documents. You will support us in managing local servers, NAS data storage/backups, internal private networks, and to ensure reliable and secure operations.

Our tools span Microsoft Office & Dynamics 365, GitLab, and Waypoint, our in-house requirements and systems engineering tool. You connect them. The less time our engineers spend searching for the right requirement or document, the more time goes into getting EPOC to the Moon. This role has direct impact on helping humanity reach sustainable presence beyond earth.

What you will own

Four workstreams, with the central AI system at the center.

  1. Central AI system: design, build and run a company-wide AI assistant that gives every engineer the right context from our requirements, documents and communications, securely and reliably.
  2. Tool integration: connect our requirements tool, document system, code repositories and task management so information flows between them and into the AI system.
  3. Document approvals: automate review and approval of engineering documents in Power Automate.
  4. Git workflow: implement and maintain a consistent version control workflow across engineering teams.


Requirements

Experience building internal developer platformsWe expect hands-on engineering and depth in most, though not all, of the areas below.

AI and LLM engineering

  • Building applications on LLM APIs: prompt design, tool calling, structured outputs and context management.
  • Designing agents that act across several systems, using agent frameworks or protocols such as MCP.
  • Evaluating output quality with test sets and regression checks, and measuring accuracy and hallucination.
  • Managing model cost, latency and rate limits in production.

Data and retrieval

  • Building retrieval (RAG) systems: document parsing, chunking, embedding, search and ranking.
  • Handling mixed engineering content such as PDFs, Office files, tables and structured requirements data.
  • Keeping indexed content fresh and versioned so answers reflect the latest released information.
  • SQL and relational databases; experience with vector search.

Integration and automation

  • Production flows on Microsoft Power Automate, including multi-stage approvals.
  • Designing, building and consuming REST APIs, webhooks and event-driven integrations.
  • Strong Python; working JavaScript or TypeScript is a plus.

Platform and DevOps

  • Deploying, monitoring and securing services on a public cloud.
  • Docker, Linux and CI/CD pipelines.
  • Git administration: branching strategies, merge request reviews and protected branches, ideally on GitLab.
  • Logging, monitoring and alerting for services other people depend on.

Security and governance

  • Identity and access control (Entra ID, SSO, role-based permissions) so the AI only shows people what they are allowed to see.
  • Audit trails and data governance for sensitive or export-controlled information.
  • Secure handling of credentials and secrets.

Ways of working

  • Owning systems end to end, from design through to support.
  • Writing clear documentation and helping colleagues adopt new tools.
  • Turning engineers' day-to-day needs into tools they actually use.
  • Comfort with ambiguity and pace in a small startup.

Nice to have

  • Experience with Claude or AWS Bedrock.
  • Background in aerospace, defense, automotive, medical devices or another regulated engineering field.
  • Familiarity with systems engineering, requirements management or formal document control (for example ECSS).
  • Experience building internal developer platforms


Benefits

You will design an AI system from a clean slate for a team building hardware for the Moon, with real ownership and direct access to the founders. Your work will shape how every engineer here works. 

Benefits include:
  • Competitive pay (Predefined pay scales)
  • Employee stock options
  • Health Insurance for Employee, spouse, children and parents
  • Mental health support and therapy.