About Us We’re an early-stage startup building LLM-native products that turn unstructured documents into intelligent, usable insights. We work with RAG pipelines, multi-cloud LLMs, and fast data processing — and we’re looking for someone who can build, deploy, and own these systems end-to-end. Key Responsibilities: RAG Application Development: Design and build end-to-end Retrieval-Augmented Generation (RAG) pipelines using LLMs deployed on Vertex AI and AWS Bedrock , integrated with Quadrant for vector search. OCR & Multimodal Data Extraction: Use OCR tools (e.g., Textract) and vision-language models (VLMs) to extract structured and unstructured data from PDFs, images, and multimodal content. LLM Orchestration & Agent Design: Build and optimize workflows using LangChain , LlamaIndex , and custom agent frameworks. Implement autonomous task execution using agent strategies like ReAct , Function Calling , and tool-use APIs . API & Streaming Interfaces: Build and expose production-ready APIs (e.g., with FastAPI) for LLM services, and implement streaming outputs for real-time response generation and latency optimization. Data Pipelines & Retrieval: Develop pipelines for ingestion, chunking, embedding, and storage using Quadrant and PostgreSQL , applying hybrid retrieval techniques (dense + keyword search), rerankers, GraphRAG. Serverless AI Workflows: Deploy serverless ML components (e.g., AWS Lambda, GCP Cloud Functions) for scalable inference and data processing. MLOps & Model Evaluation: Deploy, monitor, and iterate on AI systems with lightweight MLOps workflows (Docker, MLflow, CI/CD). Benchmark and evaluate embeddings, retrieval strategies, and model performance. Qualifications: Strong Python development skills (must-have). LLMs: Claude and Gemini models Experience building AI agents and LLM-powered reasoning pipelines. Deep understanding of embeddings, vector search, and hybrid retrieval techniques. Experience with Quadrant DB Experience designing multi-step task automation and execution chains. Streaming: Ability to implement and debug LLM streaming and async flows Knowledge of memory and context management strategies for LLM agents (e.g., vector memory, scratchpad memory, episodic memory). Experience with AWS Lambda for serverless AI workflows and API integrations. Bonus: LLM fine-tuning, multimodal data processing, knowledge graph integration, or advanced AI planning techniques. Prior experience at startups only ( not IT services or Enterprises) and short notice period Who You Are 2–4 years of real-world AI/ML experience, ideally with production LLM apps Startup-ready: fast, hands-on, comfortable with ambiguity Clear communicator who can take ownership and push features end-to-end Available to join immediately Why Join Us? Founding-level role with high ownership Build systems from scratch using the latest AI stack Fully remote, async-friendly, fast-paced team
We’re looking for talented engineers excited by ownership, speed, and the challenge of building impactful products from the ground up. Hiring individual contributors who have created something extraordinary in 0-1 journeys and own challenging projects. We value autonomy, curiosity, and rapid iteration. You'll work in a startup-like team with high trust and low bureaucracy. Responsibilities - Design, develop, and maintain scalable features using Python (Django) and React. - Build RESTful APIs and connect frontend interfaces to backend systems. - Collaborate with product and design teams to define and implement technical solutions. - Write efficient SQL queries and ORM logic for Postgres databases. - Implement automated testing to maintain code quality and performance. - Optimize performance through refactoring, caching, and database tuning. Requirements Bachelor's degree in Computer Science, Software Engineering, or a related field. 2+ years full time experience in React, JavaScript, TypeScript, and Python, Django, Vite, Vector DBs, Postgres SQL Solid understanding of web development principles, including RESTful APIs, database systems, and version control (e.g., Git). Backend skills are critical. Strong problem-solving skills and ability to work independently and collaboratively within a team. Excellent communication and interpersonal skills. Experience with AWS (EC2, S3) India based. Remote Who should not apply A contributor in a large team IT services/ Enterprise background Long notice period Unable to turn around a test assignment in 48 hours