Full-Stack AI Engineer

Overview

: 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
  
  
  

• 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
  
  
  

• 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
  
  
  

• 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
  
  
  

• 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
  
  
  

• 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)
  
  
  

• 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
  
  
  

• 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
  
  
  

The role demands technical excellence across the full stack, WITH_REPLACED particular emphasis on AI orchestration and user experience design. You''ll need to balance rapid iteration WITH_REPLACED building robust, 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 Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  
  

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!