Sengol.ai

1 Job openings at Sengol.ai
Founding Software Engineer bengaluru,karnataka,india 5 years None Not disclosed Remote Not specified

Hiring: Founding Software Engineer – Full-Stack / AI-Augmented Software Engineer Sengol.ai – India Send your profile to careers@sengol.ai Compensation: Equity (based on experience, TBD) Experience : 5-6 years is must Location: Remote/Hybrid – Bengaluru, India Type: Founding Team | Full-Time | Part-Time (conflict-free, highly committed professionals) Do not apply if you do not have experience working with AI-Assisted coding. About the Role Sengol.ai is building an AI-native Risk intelligence platform. As a Founding Engineer , you will work directly with the founders to architect, build, and scale core AI systems—including RAG pipelines, LLM microservices, and data engineering components. We are seeking engineers who embrace AI-augmented development , iterate quickly, and are ready to tackle complex, evolving challenges using AI-assisted coding workflows. Engineers whose experience is limited to purely traditional coding practices may find this role misaligned. Experience with AI-assisted, auto-coding, or AI-augmented workflows is essential. Interviews will focus on your ability to work with AI-driven development environments (e.g., Claude, Cursor), system design depth, and end-to-end execution. Responsibilities Build end-to-end AI features: RAG pipelines, LLM inference layers, embeddings, vector search workflows. Develop backend services and APIs using Python/Node; deploy using GCP Cloud Run . Own CI/CD pipelines—automate testing, releases, and observability. Design and optimize data ingestion, processing, and retrieval modules. Contribute to front-end development (React/Next.js) with a willingness to learn rapidly. Collaborate on product vision, architecture decisions, and the engineering roadmap. Operate with a founder mindset: velocity, ownership, and resilience . Requirements Strong programming skills in Python or Node with proven AI/LLM development experience . Hands-on experience with RAG pipelines , vector DBs, embeddings, and prompt/context engineering. Solid knowledge of GCP (Cloud Run, Cloud Functions, Firestore, IAM). Familiarity with CI/CD (GitHub Actions, Cloud Build). Ability to work across the full stack (frontend + backend). Bonus Experience with AI-augmented development , agentic workflows, or rapid prototyping. Proficiency with AI-assisted coding tools (Cursor, Claude, Devin-style workflows). Send your profile to careers@sengol.ai and join us in building something transformative.