AI-Powered Immigration Platform – AI/ML & Full-Stack Developers Needed at UOA Immigration Lawyers · Remote only · 3 - 10 years · $3K - $4K / yr · Bootstrapped · Remote only · Posted 24 Mar 2025

AI-Powered Immigration Platform – AI/ML & Full-Stack Developers Needed
We’re Building the Future of Immigration Tech
We are developing a high-performance, AI-driven immigration platform that automates visa assessments and guidance for high-skilled immigrants. Our focus is on speed, accuracy, and scalability—not a flashy UI, but a powerful decision-making engine that delivers real value.
We need top-tier engineers who build for performance over aesthetics. If you love AI, automation, and disrupting old systems, this is for you.
🛠 Open Roles
1️⃣ AI/ML Engineer (Visa Assessment AI)
- Develop a cutting-edge AI model for visa eligibility assessments.
- Use NLP to process immigration laws, policies, and case precedents.
- Optimize for accuracy, efficiency, and scale (real-time processing).
2️⃣ Full-Stack Developer (Lean & Scalable Web App)
- Build a high-performance, no-frills web app (React/Next.js preferred).
- Integrate the AI model seamlessly into a secure and scalable backend (Python/Django or Node.js).
- Implement fast data retrieval for applicant evaluations.
🔍 Who We’re Looking For
✔ AI/ML Engineer: Strong experience in NLP, AI automation, and structured data processing. Experience with TensorFlow/PyTorch/OpenAI APIs is a plus.
✔ Full-Stack Developer: Expertise in React (Next.js preferred), Python/Django, or Node.js. Must prioritize performance & security.
✔ Both: You’re a problem-solver, performance-obsessed, and thrive in lean environments.
💻 Tech Stack (Recommended, Open to Suggestions)
- AI/ML: Python (FastAPI, TensorFlow, OpenAI APIs, Hugging Face NLP)
- Frontend: React, Next.js (for speed & SEO)
- Backend: Python/Django or Node.js (for performance & scalability)
- Database: PostgreSQL or Firebase

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Job Summary:
Build scalable full stack applications with AI integrations across Frontend and backend systems in a fast paced product environment. The role focuses on delivering intelligent features for business use.
Job Description:
- Design and develop full stack web applications
- Integrate AI/LLM features into product modules
- Build and consume APIs and manage databases
- Collaborate with product, QA and design teams
- Optimize performance, security and deployment workflows
Must Have
- Should Have working knowledge of Go Lang
- React JS, Python, APIs and database (MySQL) integration
- Should have working exp of agentic tools like Claude, Codex etc.
- Understanding of cloud deployment, version control (GIT) and testing
Desired to have
- Exposure to prompt engineering, vector databases and RAG
- Knowledge of CI/CD, Docker and performance optimization
- LangChain or similar frameworks, data pipelines and monitoring
- Familiarity with AWS/Azure/GCP and security best practices
- Experience integrating AI APIs into business workflows
Full-Stack Engineer (AI-Native) | 2-4 Years Experience
About the Role
We're hiring a Full-Stack Engineer who is equally comfortable building a polished Next.js interface and a reliable NestJS API behind it. You'll build customer-facing products, including AI-powered features like chat interfaces, streaming responses, and agent-driven workflows. You'll own features end to end, from database schema to UI, and use AI tools daily to ship faster without lowering the quality bar.
What You'll Do
Frontend
- Build responsive, accessible, high-performance UIs with React, Next.js (App Router, RSC) and TypeScript
- Build AI-facing interfaces: streaming chat UIs, tool-call/agent-status displays, and loading, error, and retry states for non-deterministic outputs
- Monitor web vitals and fix performance regressions
Backend
- Design and build scalable REST/GraphQL APIs and services with Node.js and NestJS
- Model, query, and optimize data in PostgreSQL (schema design, indexing, migrations) using an ORM like Prisma or Drizzle
- Implement auth, authorization, validation, background jobs, queues, and caching (Redis)
- Integrate LLM APIs (OpenAI, Anthropic, Gemini), including streaming (SSE/WebSockets), tool calling, retries, rate limits, and cost/latency control
AI-Assisted Engineering
- Use AI coding tools (Cursor, Claude Code, Copilot, etc.) for scaffolding, refactoring, debugging, and test writing
- Write and maintain project context for AI tools (rules files, AGENTS.md/CLAUDE.md, reusable prompts) so the whole team gets better output
- Review AI-generated code critically for correctness, security, performance, and maintainability
Team and Delivery
- Write unit, integration, and E2E tests, using AI to speed them up rather than skip them
- Take part in code reviews, sprint planning, architecture discussions, and on-call/incident follow-ups
- Document APIs, decisions, and runbooks clearly
Must-Have (Non-Negotiable)
Frontend
- Strong JavaScript (ES6+) and TypeScript
- React (hooks, state management, rendering behavior) and Next.js (App Router, SSR/SSG/RSC)
- HTML/CSS fundamentals, Tailwind or similar, responsive design, and accessibility basics
Backend
- Production experience with Node.js and a structured framework (NestJS preferred; Express/Fastify with good architecture is fine)
- Solid PostgreSQL skills: relational modeling, joins, indexes, transactions, query optimization
- API design: REST principles, pagination, versioning, error handling, input validation
- Authentication and authorization (JWT, OAuth2, sessions, RBAC)
Engineering Fundamentals
- Git, PR workflows, and code review habits
- Testing across layers (Jest/Vitest, React Testing Library, API/integration tests; Playwright/Cypress is a plus)
- Basic security awareness (OWASP top 10, secrets management, input sanitization)
AI-Assisted Development
- Daily, hands-on use of at least one AI coding tool (Cursor, Claude Code, Copilot, Windsurf, or similar)
- Ability to write clear prompts, give useful context, and break big tasks into steps an AI can handle
- Habit of reviewing, testing, and understanding AI output before committing it
- Basic understanding of how LLMs work: context windows, hallucinations, token cost, and why outputs vary
Nice to Have
- Redis, message queues (BullMQ, SQS, Kafka), or event-driven architecture
- Monorepo tooling (Turborepo, pnpm workspaces, Nx)
- Design system or component library work (shadcn/ui, Radix, Storybook)
- tRPC, GraphQL, or OpenAPI-driven type-safe clients
- Multi-tenant SaaS, payments (Stripe/Razorpay), or real-time features
- Open-source contributions, a side project, or shipped AI features you can demo
What We Expect From You
- Ownership: take a feature from schema to UI to production, and flag risks early
- Judgment over speed: AI makes you faster, and you're still accountable for every line you ship
- Security awareness: no secrets in prompts, no blind copy-paste of AI code, and sensitive data stays out of third-party tools
- Systems thinking: consider scale, failure modes, and cost, not just the happy path
- Learning speed: the AI tooling landscape changes every few months, and you keep up and share what works
- Clear communication: PRs, docs, and async updates that others can follow
If interested for this job pls contact us on this WhatsApp number, nine three one six one two zero one three two
Full Stack Engineer
About the Company
We are building an AI-powered platform that transforms credit origination by automating manual bottlenecks and enabling lenders to process more loans with greater accuracy and lower risk. Our mission is to revolutionize the $3 trillion+ asset-based finance market through advanced AI technology, deep industry expertise, and strategic partnerships.
The Opportunity
Join us at an exciting stage of growth as we build and scale an enterprise-grade financial technology platform. As a Full Stack Engineer, you will play a key role in developing core platform features, including a proprietary decisioning system, robust data security for AI applications, and advanced document-processing tools.
Your work will help automate document verification, data extraction, and decision-support workflows. You will collaborate with experienced engineers in a fast-paced, product-focused environment, working with technologies such as Node.js, PostgreSQL, Python, and React.
This is an opportunity to contribute to a high-growth startup, solve real-world financial challenges, and build scalable AI-powered solutions.
Key Responsibilities
1. Full Stack Development
- Design, develop, and maintain full-stack web applications using Node.js, Python, PostgreSQL, GraphQL, and React.
- Build scalable, reliable, and maintainable application features.
- Develop responsive and efficient user interfaces integrated with robust backend services.
2. AI and Document Processing
- Build Python-based AI pipelines to automate document processing and underwriting workflows.
- Contribute to document verification, data extraction, and decision-support capabilities.
- Support the integration of AI-powered features into the core platform.
3. Collaboration and Product Development
- Collaborate with product and engineering teams to translate user requirements into scalable and efficient code.
- Participate in technical discussions and contribute to feature planning and implementation.
- Work closely with team members to deliver high-quality product features.
4. Performance and Scalability
- Optimize application performance and ensure efficient data flow and real-time functionality.
- Identify and resolve technical issues across the application stack.
- Contribute to architectural decisions that support platform scalability and long-term growth.
5. Code Quality and Deployment
- Participate in code reviews, testing, debugging, and deployment.
- Follow software development best practices to ensure code quality, reliability, and maintainability.
- Contribute to CI/CD pipelines and application deployment processes.
Required Qualifications
- 3+ years of professional experience as a Full Stack Engineer.
- Strong proficiency in Node.js and PostgreSQL, with experience in Python and hands-on experience with React.
- Experience developing and maintain
Key Responsibilities
- Design, develop, and maintain scalable Python backend applications for enterprise use cases.
- Develop robust REST APIs and microservices using Python frameworks such as FastAPI, Flask, or Django.
- Design and implement scalable backend services with proper API integration, authentication, error handling, logging, and monitoring.
- Develop responsive and scalable React.js frontend applications.
- Implement React Hooks, state management, API integration, reusable components, and frontend development.
- Integrate React.js applications with Python backend APIs and microservices.
- Design and develop Generative AI and LLM-powered applications.
- Build and integrate Agentic AI / AI Agent solutions for enterprise use cases.
- Develop RAG (Retrieval-Augmented Generation) pipelines using enterprise data and knowledge sources.
- Work with embeddings, vector databases, and vector search for semantic retrieval and knowledge-based applications.
- Develop AI agent workflows using frameworks such as LangChain, LangGraph, Google ADK, or Semantic Kernel.
- Implement tool calling and function calling to enable AI agents to interact with APIs, databases, enterprise systems, and external services.
- Apply prompt engineering techniques to improve LLM response quality, accuracy, consistency, and reliability.
- Integrate LLMs and GenAI capabilities into full-stack applications.
- Develop multi-step AI workflows, agent orchestration, and intelligent automation solutions.
- Design APIs and services for seamless integration between AI components, backend services, databases, and frontend applications.
- Work with cloud platforms such as AWS, Azure, or GCP for application and AI solution deployment.
- Develop production-ready applications with focus on scalability, performance, security, reliability, and maintainability.
- Troubleshoot and optimize backend, frontend, API, RAG, LLM, and Agentic AI components.
- Collaborate with architects, software engineers, AI/ML engineers, product teams, and business stakeholders.
- Participate in code reviews, technical discussions, testing, deployment, and production support.
Mandatory Skills
- Python Backend Development
- REST API / Microservices
- FastAPI / Flask / Django
- React.js
- React Hooks / State Management
- Frontend Development & API Integration
- GenAI / LLM
- Agentic AI
- RAG
- Embeddings / Vector Search
- LangChain / LangGraph / Google ADK / Semantic Kernel
- Prompt Engineering
- Tool Calling / Function Calling
- Cloud – AWS / Azure / GCP
Preferred Candidate Profile
- 8.5+ years of overall software development experience.
- Strong hands-on experience in Python backend development and API/microservices development.
- Strong experience in React.js and full-stack application development.
- Practical experience building GenAI/LLM applications.
- Hands-on experience with Agentic AI and AI agent frameworks.
- Good understanding of RAG, embeddings, vector search, and LLM-based application architecture.
- Experience with LangChain, LangGraph, Google ADK, Semantic Kernel, or equivalent agent frameworks.
- Strong understanding of prompt engineering and tool/function calling.
- Experience integrating AI capabilities with APIs, databases, enterprise applications, and external systems.
- Hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP.
- Strong problem-solving, debugging, communication, and collaboration skills.
- Candidates should be available for immediate / short-term joining.
Job Title: AI-Native Full-Stack Developer Experience: 3+ years Location: Hyderabad, India (Hybrid) Type: Full-time About the Role Build and deliver SaaS platforms, web applications, and mobile apps using an AI-native development approach at Incepteo Labs. You'll work with LLMs, generative AI frameworks, and modern full-stack technologies to ship secure, production-grade products for global customers. This role is for a hands-on developer who thrives in a fast-paced environment, writes clean and secure code, and is passionate about leveraging AI to build better products faster. You'll collaborate with experienced leads and global clients to deliver solutions that scale. What You'll Do • Build and deliver full-stack solutions — SaaS platforms, web apps, and mobile applications — using an AI-native development approach • Develop AI-powered features using LLMs, RAG pipelines, agentic AI patterns, and frameworks such as LangChain and LangGraph • Implement secure payment gateway integrations, subscription billing, and pricing plan management across products • Write high-quality, secure code with a strong focus on cybersecurity — addressing OWASP vulnerabilities, data protection, and secure authentication patterns • Collaborate with global customers and internal teams via clear documentation, video calls, and presentations • Embed AI tools across the development lifecycle — code generation, testing, documentation, and deployment • Stay current with AI/ML trends, LLM advancements, and emerging security threats What We're Looking For • 3+ years of full-stack development experience with shipped products • Proficiency in modern stacks — React, Python, Node.js, TypeScript, and cloud platforms (AWS/GCP/Azure) • Hands-on experience with LLMs, generative AI, and frameworks like LangChain, LangGraph — understanding of RAG, context management, memory, and prompt engineering • Experience integrating payment gateways (Stripe, Razorpay, or similar) and building pricing/subscription models • Strong understanding of cybersecurity principles — secure coding practices, vulnerability assessment, OWASP Top 10, and data protection • Good communication skills — comfortable on client calls and writing clear documentation • Experience working in a startup or fast-paced environment • Self-starter with curiosity for emerging technologies and AI trends Why Incepteo Labs Incepteo Labs is a digital and AI innovation partner with a presence across the UK, India, USA, and Europe. You’ll be joining a fast-growing company that brings together startup agility with enterprise-grade delivery standards. At Incepteo, we believe in ownership, collaboration, and bringing ideas to life. Creative, energetic global company with a portfolio of exciting brands
Job Title : Senior Consultant – Full Stack Developer with AI
Experience : 5+ Years
Open Positions : 1
Location : Remote
Working Hours : 11:00 AM to 08:00 PM IST
Engagement : 6 to 8 Months Contract-to-Hire (C2H), with potential conversion to client payroll
Expected Joining : By the last week of August / 1st week of September
Role Overview :
Thoughtworks is looking for a Senior Consultant – Full Stack Developer with AI experience who can design and develop scalable full-stack applications while leveraging modern AI development tools and agentic AI capabilities.
The ideal candidate should have strong hands-on experience with Python, JavaScript / React.js, AWS Bedrock Agent Core, Docker, Kubernetes, and modern AI-assisted development frameworks and tools. Experience building MCP servers / tools, AI skills, or integrations using tools such as Cursor, Claude Code, Codex, or GitHub Copilot will be highly valuable.
The candidate should be comfortable working across application development, AI integration, cloud technologies, and containerized environments.
Mandatory Skills :
Python, React.js / JavaScript, AWS Bedrock Agent Core, Docker, Kubernetes, MCP / AI Skills, Cursor / Claude Code / Codex / GitHub Copilot, Full-Stack Development.
Key Responsibilities :
- Design, develop, and maintain scalable full-stack applications using modern development practices.
- Build backend services and APIs using Python and related frameworks.
- Develop responsive and scalable frontend applications using ReactJS or other JavaScript frameworks.
- Design and implement AI-powered solutions using AWS Bedrock Agent Core.
- Build and integrate AI agents, tools, skills, and workflows into enterprise applications.
- Develop and work with MCP (Model Context Protocol) servers, tools, or integrations.
- Leverage AI-assisted development platforms and coding tools such as Cursor, Claude Code, Codex, or GitHub Copilot.
- Containerize applications and services using Docker.
- Deploy, manage, and troubleshoot containerized workloads using Kubernetes.
- Collaborate with cross-functional teams to understand business requirements and translate them into scalable technical solutions.
- Follow engineering best practices around code quality, testing, security, performance, and maintainability.
- Contribute to CI/CD and cloud deployment processes; DevOps experience will be an added advantage.
- Participate in technical discussions, architecture decisions, code reviews, and project delivery.
Mandatory Skills :
- 5+ years of relevant software development experience.
- Strong hands-on experience with Python.
- Strong experience with ReactJS or another modern JavaScript framework.
- Hands-on experience with AWS Bedrock Agent Core.
- Strong experience with Docker.
- Hands-on experience with Kubernetes.
- Experience building MCP servers / tools, AI skills, or similar AI integrations.
- Experience using AI-assisted coding/development tools such as :
- Cursor
- Claude Code
- Codex
- GitHub Copilot
- Strong understanding of full-stack application development.
- Good understanding of API development, application architecture, and cloud-based solutions.
Nice to Have :
- Experience with DevOps practices and CI/CD pipelines.
- Experience with AWS cloud services beyond Bedrock.
- Experience with infrastructure automation and deployment.
- Experience building production-grade GenAI / Agentic AI applications.
- Experience with LLM integrations, AI agents, tools, and function calling.
Project Expectations :
Candidates should be able to explain at least one recent project in detail, including :
- Problem Statement : What business / technical problem were you solving ?
- Architecture & Approach : How did you design the solution ?
- Key Contributions : What did you personally build or own ?
- AI / Agent Implementation : How did you use AWS Bedrock Agent Core, MCP, or AI development tools ?
- Technology Stack : Python, React.js / JavaScript, AWS, Docker, Kubernetes, etc.
- Challenges : What were the major technical challenges ?
- Outcomes & Metrics : What measurable impact did the solution deliver, such as performance improvement, cost reduction, automation, productivity improvement, or reduced development time ?
Interview Process :
- Round 1 – GT Technical Interview : 60 minutes
- Round 2 – Client Technical Interview : 60 minutes
- Round 3 – Project Round : 60 minutes
- Additional Client Round : May be conducted on a case-by-case basis
Key Hiring Priorities :
Highest priority : Candidates with genuine hands-on experience in AWS Bedrock Agent Core + Python + React / JavaScript + Docker + Kubernetes + MCP / AI skills and practical experience using modern AI coding/agent development tools.
Note : Candidates should demonstrate hands-on implementation experience rather than only theoretical knowledge or exposure to the above technologies.
Role: Full Stack JavaScript/TypeScript Developer
We're looking for a Full Stack Developer with strong JavaScript/TypeScript fundamentals to join our team and help build AI-powered product features.
Responsibilities:
Core Skills & Competencies (Must have):
- Strong proficiency in TypeScript and solid JavaScript fundamentals
- Front-end development skills with the React ecosystem (Next.js), including state management libraries like Zustand, Redux
- Expertise in HTML/CSS, with experience creating responsive and adaptive designs
- Experience building AI-assisted features such as chatbots, content generation, semantic search, recommendations, or intelligent automation
- Experience with RESTful services and APIs
- Familiarity with AI SDKs, LLM APIs, and vector databases
- Experience with SQL and database management, understanding relational databases, and ability to write efficient and optimized queries
- Understanding of database design and management, especially with SQL
- Experience with version control systems such as Git
Desired Skills & Competencies (Nice to have):
- Experience with event-driven architecture
- Experience with cloud services like Azure or AWS
- Familiarity with modern DevOps practices
- Understanding of security practices and web application security
- Familiarity with CI/CD pipelines
What we're looking for:
- Strong command over JS/TS fundamentals, not just framework-level knowledge
- Candidates with internship experience or a background from a reputed engineering college preferred
- Please share your GitHub link, portfolio, or details of projects you've built (personal, academic, or professional)
We are looking for a skilled Full Stack Developer with 3+ years of experience in Python and React.js to join our engineering team. The ideal candidate should have strong experience building scalable web applications, developing backend APIs, and creating responsive frontend interfaces.
Key Responsibilities
- Develop and maintain full-stack web applications using Python and React.js.
- Build scalable and secure RESTful APIs using Django, Flask, or FastAPI.
- Develop responsive and user-friendly interfaces using React.js.
- Integrate frontend applications with backend APIs and third-party services.
- Work with databases such as PostgreSQL, MySQL, or MongoDB.
- Write clean, reusable, and maintainable code.
- Troubleshoot, debug, and optimize application performance.
- Participate in code reviews and follow software development best practices.
- Collaborate with UI/UX designers, QA engineers, DevOps, and other developers.
- Write unit and integration tests to ensure application reliability.
- Use Git/GitHub/GitLab for version control.
- Contribute to system design, documentation, deployment, and continuous improvement.
Required Skills
- 3+ years of professional experience in Full Stack Development
- Strong hands-on experience with Python
- Strong experience with React.js
- Experience with Django / Flask / FastAPI
- Good understanding of JavaScript, HTML5, and CSS3
- Strong knowledge of REST APIs
- Experience with PostgreSQL / MySQL / MongoDB
- Good understanding of Git and version control
- Strong knowledge of OOP, data structures, and software development concepts
- Experience with debugging and performance optimization
- Good problem-solving and communication skills
Good to Have
- Experience with TypeScript
- Knowledge of Next.js
- Experience with AWS / Azure / GCP
- Knowledge of Docker and Kubernetes
- Understanding of CI/CD pipelines
- Experience with microservices architecture
- Exposure to AI/ML or GenAI applications is a plus
Education
Bachelor’s degree in Computer Science, IT, Engineering, or a related field.
Role : Senior Full Stack Engineer (Frontend Focus)
Location : Hyderabad/Bangalore/Gurgaon/Mumbai
Role Summary
We're looking for a **Senior Full Stack Engineer (Frontend Focus)** to build modern, AI-powered enterprise applications. You'll primarily focus on creating scalable, high-performance frontend experiences using React and Next.js, while contributing to backend services, APIs, and AI integrations where needed. You'll work closely with Product, Design, and AI teams to build intuitive, performant, and production-ready applications.
Minimum Qualifications
* 3–7 years of software engineering experience.
* Strong experience with React, Next.js, TypeScript, JavaScript, HTML, and CSS.
* Experience building and shipping production-grade frontend applications, including enterprise dashboards and data-intensive applications.
* Strong understanding of frontend architecture, state management (Redux, Zustand, Context API, or similar), rendering lifecycle, and performance optimization, including code splitting, lazy loading, bundle optimization, caching strategies, and Core Web Vitals.
* Experience building complex UI experiences using modern frontend technologies, including data visualization, Canvas, WebGL, Service Workers, and Web Workers.
* Experience building and integrating REST APIs and backend services using Node.js.
Preferred Qualifications
* Experience building AI-powered applications or AI agents using LangChain, LlamaIndex, CrewAI, or similar AI frameworks.
* Experience with vector databases and Retrieval-Augmented Generation (RAG) applications.
* Experience with DevOps practices and cloud platforms such as AWS, Azure, or GCP.
* Experience with Docker and Kubernetes.
* Experience building reusable component libraries, design systems, or micro-frontend architectures.
* Design, develop, and maintain responsive websites and web applications.
* Build reusable frontend components using React.js.
* Develop scalable backend APIs and services using Node.js.
* Integrate third-party services and payment gateways such as Stripe.
* Build RESTful APIs and integrate with modern databases.
* Optimize applications for maximum speed, scalability, and SEO.
* Collaborate with designers to translate Figma/UI designs into pixel-perfect interfaces.
* Implement authentication, authorization, and security best practices.
* Debug production issues and improve application performance.
* Participate in code reviews and mentor junior developers.
* Work within Agile/Scrum development processes.













