Location: Bangalore India (Hybrid / In-Person)
Type: Full-time
Compensation: Extremely competitive salary equity
Work Model: High ownership minimal process fast execution
We are an applied AI company building large-scale environments and production systems that directly shape how next-generation AI models and agents are trained and deployed.
Our platforms power foundational datasets evaluation systems and specialized models used by leading AI research teams. By combining deep engineering rigor with modern AI workflows we build the infrastructure layer behind agentic and AI-native systems.
We operate with a strong builder culture: small teams high trust and real ownership over systems that matter.
Were hiring a Full Stack Engineer to own and scale core product platforms used in AI training evaluation and execution.
This is a high-agency end-to-end role. Youll work across frontend backend data and infrastructure partnering closely with engineers and AI researchers to ship fast reliable and well-designed systems that operate in production.
You will not be handed narrow tickets. You will own systems make architectural decisions and see your work directly impact how advanced AI systems are built and used.
This role is ideal for engineers who thrive in fast-moving environments and enjoy building real products not internal demos.
Design build and operate full-stack platforms from APIs to user-facing interfaces
Take ownership of systems throughout their entire lifecycle: design build deploy operate
Build backend services in Python using scalable async architectures
Design and operate robust APIs that support AI-driven workflows
Architect and maintain data layers using PostgreSQL and ElasticSearch
Build modern high-quality frontends using TypeScript and
Collaborate with product and research stakeholders to deliver clean intuitive user experiences
Integrate LLM APIs agent frameworks or agentic workflows into production systems
Work closely with AI researchers to operationalize experimental ideas into usable platforms
Deploy and operate systems on AWS and/or GCP
Make pragmatic architecture decisions balancing speed reliability and scalability
Monitor debug and improve production systems over time
48 years of experience building and shipping production full-stack systems
Proven ability to own systems end to end in fast-moving startup or product environments
Track record of high-pace execution at strong engineering teams
Strong experience with Python TypeScript and
Hands-on experience with PostgreSQL and ElasticSearch
Experience integrating LLM APIs AI services or agent-based systems
Solid engineering fundamentals and good architectural judgment
High ownership mentality you care deeply about the systems you build
Comfortable making decisions with limited process and high autonomy
Strong design sense and attention to developer and user experience
Ability to collaborate closely with engineers and AI researchers
CS background from a top-tier institution or equivalent real-world experience
Extremely competitive compensation
Hybrid in-person role in Bangalore with a tight-knit high-caliber team
Minimal bureaucracy maximum ownership
Build core platforms powering agentic and AI-native systems
Work directly alongside engineers and researchers shaping the future of AI
Required Experience:
IC
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