Enterprise AI infrastructure and deployment at production scale.
Founded
2024
Industry
Enterprise AI / AI Infrastructure
Funding Track Record
Series A- April 2025
$20.0M
Participation from Cisco Investments; brought total disclosed funding to $37.5M
Series A (follow-on)- February 2026
$50M
Follow-on financing bringing total funding to $87.5M; participation from Mayfield, Cisco Investments, Acclimate Ventures, AI Space and other strategic investors
Investor Signal
“Backed by venture investors including Mayfield Fund, Cisco Investments, and Xora Innovation”
Founders
What we do
Join the Team
Staff Software Development Engineer (Full Stack)
On-SitePune, IN
On-Site • Pune, IN
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Position Summary:
We are looking for a Staff Software Development Engineer (Full Stack) with strong hands-on experience in TypeScript (Node.js, JavaScript), and/or Python and a passion for leveraging AI-driven code generation tools to accelerate development. You will play a critical role in operationalizing GenAI-based code generation platform. This role involves translating product specifications into structured inputs for GenAI tools, reviewing the code generated by GenAI tool, and providing feedback to product engineering team to improve quality and performance of the GenAI tool.
You will work closely with product managers, software engineers, and AI specialists to ensure that the generated code aligns with business and technical requirements. The ideal candidate is curious, adaptable, critic and eager to evaluate AI-assisted code generation tool.
Key Responsibilities:
Develop, Analyze and structure product specifications for input into GenAI programming tools.
Operate GenAI systems to generate code based on structured inputs.
Perform detailed code reviews of GenAI-generated programs to ensure correctness, performance, and maintainability.
Utilize several other AI-powered code generation tools (Cursor.ai, Windsurf, etc.) to compare and optimize GenAI tool in subject.
Provide feedback to improve GenAI model outputs and prompt engineering strategies.
Basic Qualifications:
Preferred Qualifications:
Experience working with prompt engineering or structured input design for GenAI systems.
Exposure to MLOps or AI model evaluation frameworks.
Knowledge of software architecture and design patterns.
Knowledge of containerization (Docker, Kubernetes).
Exposure to serverless architecture and event-driven systems.
Contribution to open-source or AI-driven development communities.
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Review and validate generated code for correctness, efficiency, and adherence to coding standards.
Maintain documentation of input formats, code review findings, and feedback cycles.
Stay current with advancements in GenAI programming tools and code generation technologies.
Participate in code reviews and mentor junior developers.
Bachelor’s/master’s in computer science, Engineering, or equivalent experience.
8 to 10 years' experience with strong expertise in at least one of the following:
