Full Stack AI Engineer

About the job

Experience: 3.00 + years Salary: USD 1407-1481 / month (based on experience) Expected Notice Period: 7 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - BL) What do you need for this opportunity? Must have skills required: - Graph visualization libraries, Model Fine-tuning, LangGraph, react, Vector Database, FullStack, Python, TypeScript BL is Looking for: - The client is building the next-generation research assistant for materials science and process engineering. Our web platform enables material scientists and process engineers to maximize their productivity. We are building the next generation of AI material scientists. We''re a pre-seed, highly technical startup moving fast to disrupt how AI is applied in materials science and process engineering. The Challenge You''ll Own - Design and ship an intuitive, AI native platform that: • Orchestrates sophisticated multi-agent pipelines using LangGraph • Streams live results to rich, editable dashboards WITH_REPLACED embedded visualizations • Manages complex data workflows WITH_REPLACED vector databases and traditional SQL storage • Adapts rapidly as we iterate on product design based on user feedback What You''ll Do Frontend Development - Build responsive TypeScript React interfaces WITH_REPLACED modern UI frameworks, prioritizing usability and performance - Create rich dashboards that seamlessly embed plots, images, markdown, and AI-assisted editing capabilities - Ensure smooth user experience across complex scientific data workflows Backend Development - Design and implement REST/WebSocket APIs using Python FastAPI for workflow orchestration and real-time communication - Build and optimize multi-agent systems using LangGraph - this is essential and non-negotiable - Implement secure data handling, rate limiting, background job processing, and queue management Database & Infrastructure - Design and maintain PostgreSQL schemas alongside vector database implementations - Implement data migration strategies and efficient data loading processes - Deploy and maintain cloud infrastructure WITH_REPLACED monitoring and logging systems - Prepare for future model fine-tuning implementations Must-Have Skills & Experience - 3-7 years of full-stack development experience shipping production applications - Strong proficiency in React + TypeScript WITH_REPLACED ability to create polished, responsive interfaces - Solid Python backend development experience WITH_REPLACED FastAPI, Flask, or Django - LangGraph expertise is mandatory - experience building and orchestrating multi-agent workflows - Database proficiency WITH_REPLACED SQL, Bigquery, S3 (Databricks and snowflake experience preferred) - Vector database and knowledgebase familiarity (Pinecone,Neo4j) - Experience WITH_REPLACED Docker and cloud deployment - Startup mindset: bias toward action, comfort WITH_REPLACED ambiguity, ownership mentality - Passion for clean UX, rapid prototyping, and maintainable code practices Nice-to-Have Skills - Graph visualization libraries or data dashboard tools (Plotly, D3, Bookeh) - Domain exposure to materials science, spectroscopy, microscopy, or scientific imaging - Model fine-tuning experience WITH_REPLACED various ML frameworks - Knowledge of embeddings and semantic search implementations - Infrastructure-as-code experience (Terraform, Kubernetes) Our Culture - Speed and adaptability – we pivot quickly based on user needs and market feedback - User-centric approach – scientists' needs drive our technical decisions - Radical transparency – open communication about roadmap, challenges, and metrics - Growth mindset – continuous learning through candid feedback and experimentation - Meritocracy – the best ideas win, regardless of hierarchy Why Join Now? - Foundational role – shape architecture, technology choices, and company culture as our second engineering hire - Massive impact potential – pioneer the application of multi-agent AI systems in materials R&D - Significant equity upside – meaningful early-stage equity WITH_REPLACED high growth potential - Technical leadership opportunity – build and eventually lead an engineering team - Cutting-edge technology – work WITH_REPLACED the latest in AI, multi-agent systems, and scientific computing - Flexibility – fully remote work environment WITH_REPLACED focus on results over hours

Requirements

• Graph Visualization
• React
• Python
• FastAPI
• AI Systems

Preferred Technologies

• Graph Visualization
• React
• Python
• FastAPI
• AI Systems

Benefits

• Remote Work
• Flexible Hours

About the company

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career.