AI & Automation Engineer to support Lunar Engineering

Cosmochute; Ahmedabad District; On-site; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Employee stock options

Health Insurance

Mental health support

Job summary

Cosmochute in Ahmedabad, Gujarat, is seeking the first dedicated owner of our AI and automation stack to work with founders and engineering leads. You will build a pre-configured AI assistant that supports every engineer by consolidating requirements, documents, and communications, and ensure secure, reliable operations across local servers and private networks.

You will own four workstreams around a central AI system, including tool integration, document approvals via Power Automate, and a

Qualifications

• Experience building internal developer platforms.
• Hands-on engineering with depth in multiple areas.
• Ability to design and implement scalable AI/automation solutions.

Responsibilities

• Design, build and run a company-wide AI assistant for engineers.
• Integrate requirements, document, code repos and task management systems.
• Automate document approvals using Power Automate.
• Maintain a consistent Git workflow across engineering teams.
• Deploy, monitor and secure services in a cloud environment.

Skills

Python

REST APIs

Docker

Git

CI/CD

Power Automate

Linux

Cloud deployment

Tools

GitLab

Waypoint

Office 365

Dynamics 365

Job description

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.

• 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.
• Tool integration: connect our requirements tool, document system, code repositories and task management so information flows between them and into the AI system.
• Document approvals: automate review and approval of engineering documents in Power Automate.
• 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.