Full-Stack Engineer (AI / Scientific Workflow Platform)

Experience: 3. 00 + yearsSalary: USD 1481 / month (based on experience)Expected Notice Period: 15 DaysShift: (GMT+05: 30) Asia/Kolkata (IST)Opportunity Type: RemotePlacement Type: Full Time Indefinite Contract(40 hrs a week/160 hrs a month)(*Note: This is a requirement for one of Uplers' client - BatlabsAI)What do you need for this opportunity?Must have skills required: Cursor, Windsurf, cloud deployment, LangGraph, PostgreSQL, Python, React Js, TypeScriptBatlabsAI is Looking for: Job Title: Full-Stack Engineer (AI / Scientific Workflow Platform)Company: Batlabs AILocation: RemoteType: Full-time, PermanentAbout Batlabs AIBatlabs AI is building the next-generation research assistant for materials science and processengineering.

Our web platform enables material scientists and process engineers to maximizetheir 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 andprocess engineering. The Challenge You'll OwnDesign and ship an intuitive, AI native platform that:

Orchestrates sophisticated multi-agent pipelines using LangGraph Streams live results to rich, editable dashboards with embedded visualizations Manages complex data workflows with vector databases and traditional SQL storage Adapts rapidly as we iterate on product design based on user feedbackWhat You Will DoFrontend Development Build responsive TypeScript React interfaces with modern UI frameworks, prioritizingusability and performance Create rich dashboards that seamlessly embed plots, images, markdown, and AI-assisted editing capabilities Ensure smooth user experience across complex scientific data workflowsBackend Development Design and implement REST/WebSocket APIs using Python FastAPI for workfloworchestration and real-time communication Build and optimize multi-agent systems using LangGraph - this is essential andnon-negotiable Implement secure data handling, rate limiting, background job processing, and queuemanagementDatabase & 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 monitoring and logging systems Prepare for future model fine-tuning implementationsMust-Have Skills & Experience 3-7 years of full-stack development experience shipping production applications Strong proficiency in React + TypeScript with ability to create polished, responsiveinterfaces Solid Python backend development experience with FastAPI, Flask, or Django LangGraph expertise is mandatory - experience building and orchestrating multi-agentworkflows Database proficiency with SQL and ORM experience (SQLAlchemy preferred) Vector database familiarity (Pinecone, Weaviate, PGVector, or similar) Experience with Docker and cloud deployment Startup mindset:

bias toward action, comfort with ambiguity, ownership mentality Passion for clean UX, rapid prototyping, and maintainable code practicesNice-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 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 hierarchyWhy Join Now? Foundational role – shape architecture, technology choices, and company culture asour second engineering hire Massive impact potential – pioneer the application of multi-agent AI systems inmaterials R&D Significant equity upside – meaningful early-stage equity with high growth potential Technical leadership opportunity – build and eventually lead an engineering team Cutting-edge technology – work with the latest in AI, multi-agent systems, andscientific computing Flexibility – fully remote work environment with focus on results over hoursThe role demands technical excellence across the full stack, with particular emphasis on AIorchestration and user experience design.

You'll need to balance rapid iteration with buildingrobust, scalable systems that can handle complex scientific workflows. Ready to help scientists turn raw data into breakthrough discoveries?How to apply for this opportunity?Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated ResumeStep 3: Increase your chances to get shortlisted & meet the client for the Interview!About Uplers: 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.

We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!