
We are looking for an AI Architect to join our team.
Responsibilities
- Architecture Design: Develop scalable and efficient AI architectures.
- Technical Guidance: Provide expertise and guidance to development teams.
- System Integration: Collaborate to integrate AI technologies into systems.
- Performance Optimization: Optimize AI models and infrastructure.
- Data Management: Manage large datasets for AI training.
- Ethical Considerations: Address ethical and privacy concerns.
- Technical Documentation: Create comprehensive technical documentation.
- Collaboration and Communication: Collaborate with stakeholders.
- Problem-Solving: Analyze and troubleshoot technical issues.
- Continuous Learning: Stay updated with AI advancements.
Requirements
- Education: Bachelors or masters degree in computer science or related field.
- Experience: 8+ years of experience with 3+ years as an architect. Extensive experience in Gen AI and LLM technologies, including exposure to open source LLMs is a must.
- Technical Expertise: Proficiency in NLP, machine learning, and deep learning. Familiarity with open source LLM frameworks like GPT-3/4 or similar models.
- Architectural Design: Ability to design scalable and efficient AI architectures.
- System Integration: Skill in integrating AI technologies, including open source LLMs, into new or existing systems.
- Performance Optimization: Experience in optimizing AI models and systems, including open source LLMs, for efficiency.
- Data Management: Knowledge of handling large datasets for Gen AI and LLM training, including open source LLMs.
- Ethical Considerations: Understanding of AI ethics and privacy concerns, particularly relevant to open source LLMs.
- Collaboration and Communication: Strong teamwork and communication skills.
- Problem-Solving: Aptitude for troubleshooting and resolving technical challenges related to open source LLMs.
- Continuous Learning: Willingness to stay updated with advancements in Gen AI, LLMs, and open source LLM technologies.

About Webtiga Private limited
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Experts in Web 3 Technologies -Metaverse, Generative AI, Web3,Cybersecurity and DeFi spoken
For more details - please check out our website-https://www.webtiga.com/solutions/
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🧭 Tech Lead (Backend / Fullstack | 7–10 Years)
Location: Bangalore (On-Site, Hybrid)
Company Type: Public-Listed Product Company
We’re Building a “Top 1% Engineering Org”
We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.
Think:
→ Rewriting legacy systems into AI-native architectures
→ Embedding LLMs + Agentic AI into core workflows
→ Reimagining platforms, infra, and data systems for the next decade
This is the kind of shift you’d expect from Google, Microsoft, or Meta —
Except you get to build it from day 0 → scale it globally.
About the Role / Team
We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.
This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.
You will be working on:
- Agentic AI systems & LLM-powered workflows
- Distributed, scalable backend systems
- Enterprise-grade AI platforms
- Automation-first engineering environments
🚀 The Mandate
Lead execution of mission-critical systems while staying hands-on — bridging architecture and delivery.
🧩 What You’ll Do
- Own end-to-end delivery of complex engineering initiatives (0→1, 1→N)
- Design systems across backend + frontend (if fullstack)
- Translate ambiguous problems into structured technical solutions
- Drive engineering best practices, code quality, and velocity
- Mentor engineers and elevate team performance
- Collaborate with stakeholders on roadmap and execution strategy
🧠 What We’re Looking For
- Strong experience in backend systems + optional frontend frameworks
- Proven ability to lead projects and deliver at scale
- Solid understanding of system design and architecture patterns
- Ability to balance speed vs quality vs scalability trade-offs
- Strong communication and leadership without authority
- Strong coding skills in Python / Java / Go / Node.js
- Solid understanding of data structures, system design basics, and backend architecture
- Experience building scalable APIs and services
- Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
- Strong debugging, problem-solving, and ownership mindset
Nice to Have
- Experience integrating LLMs, vector databases, or AI pipelines
- Contributions to architecture at scale
- Experience with Agentic AI / LLM orchestration frameworks
- Background in product engineering or platform companies
- Exposure to global-scale systems (millions of users / high throughput)
🔥 What Sets You Apart
- Experience leading platform builds or major system rewrites
- Exposure to AI systems, LLM integrations, or intelligent workflows
- Built platforms used by millions of users / high-throughput systems
- Experience with event-driven systems, stream processing, or infra platforms
- Prior work on AI/ML platforms, model serving, or intelligent systems
Background: We Commonly See (But Not Limited To)
- Our team often includes engineers from top-tier institutions and strong research or product company or DeepTech or AI Product backgrounds, including:
- Leading engineering schools in India and globally
- Engineers with experience in top product companies, AI startups, or research-driven environments
- That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.
About the Role
We are looking for a passionate AI/ML Software Engineer to join our product team and help build intelligent, scalable, and production-ready machine learning solutions. You will work closely with product managers, designers, and backend engineers to integrate AI capabilities into core product features and drive data-driven innovation.
Key Responsibilities
- Design, develop, and deploy machine learning models into production environments
- Build and maintain scalable ML pipelines for data processing, training, and inference
- Collaborate with cross-functional teams to identify AI-driven product opportunities
- Translate business requirements into ML solutions and technical implementations
- Optimize model performance, accuracy, and latency for real-time applications
- Integrate AI/ML models with APIs and backend systems
- Monitor model performance and implement continuous improvement strategies
- Ensure best practices in data handling, model versioning, and reproducibility
- Stay updated with the latest advancements in AI/ML and apply them to product innovation
Required Skills & Qualifications
- Bachelor’s engineering degree in Computer Science, AI, Data Science, or related field
- Strong programming skills in Python (experience with Java/Go is a plus)
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Solid understanding of machine learning algorithms and statistical concepts
- Experience in building and deploying ML models in production
- Familiarity with REST APIs, microservices architecture, and cloud platforms (AWS/GCP/Azure)
- Experience with data processing tools (Pandas, NumPy, Spark, etc.)
- Knowledge of version control systems like Git
- Requirements:
- · You have 8+ years of professional software engineering experience with a proven track record of shipping high-impact, scalable products.
- · You have architectural-level expertise in a modern programming language (TypeScript/JavaScript, Python, Go, or Java).
- · You have deep experience designing, building, and operating distributed systems in a cloud environment (AWS or GCP).
- · You are proficient in building and consuming web APIs (REST/GraphQL) and designing robust systems for caching (Redis) and asynchronous processing (message queues).
- · You have advanced expertise in designing, optimizing, and scaling SQL/NoSQL databases for high-traffic applications.
- · You are well-versed in CI/CD pipelines, Docker, and infrastructure-as-code (e.g., Terraform).
- · You thrive in ambiguity and can define technical roadmaps from vague business goals.
- · You communicate complex trade-offs clearly to both technical and executive stakeholders.
- · You champion operational excellence and influence how teams build, deploy, and maintain software.
- · Bonus skills: Advanced database optimization, distributed systems design, infrastructure-as-code expertise, or prompt engineering / LLM tooling experience.
- Job Description:
- Architect, own, and deliver complex, multi-quarter projects end-to-end, setting the technical vision for your domain.
- Identify and address architectural gaps, scale critical systems, and drive continuous improvements in performance, reliability, and scalability.
- Collaborate closely with product, design, and business leaders to translate ambiguous business goals into clear technical roadmaps and execution strategies.
- Establish and champion best practices for operational excellence — including monitoring, alerting, on-call preparedness, and incident response.
- Mentor and guide L1/L2 engineers, lead through high-quality design documents and code reviews, and elevate engineering standards across the organization.
- Work hands-on with our complete stack:
- Frontend: React/Next.js + TypeScript
- Backend: Node.js / FastAPI / Go
- Databases: Postgres, Redis (SQL/NoSQL)
- DevOps & CI/CD: Docker, GitHub Actions, AWS/GCP, Terraform, Kubernetes
- Observability & Monitoring: OpenTelemetry, Grafana/Prometheus, Sentry
- AI-native productivity: Cursor for daily development, copilots, and AI codegen tools
- Measure impact through:
- Outcome: Ownership of key product-area outcomes that drive top-level company metrics.
- Quality: Architectural improvements that enhance reliability, reduce defects, and accelerate delivery.
- Speed: Ability to unblock teams and drive progress on complex initiatives efficiently.
- Technical Leadership: Setting direction, defining standards, and influencing the broader engineering organization.
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Job Title: Full-Stack MERN Developer (5–8 Years Experience)
Location: Borivali, Mumbai (Onsite)
Experience: 6–8 Years
Joining: Immediate Joiners
Employment Type: Full-time
Job Overview
We are looking for an experienced Full-Stack MERN Developer to join our engineering team in Borivali, Mumbai. The ideal candidate should have strong hands-on experience building scalable web applications using React, Node.js, Express, and MongoDB, with a solid understanding of REST APIs, microservices architecture, performance optimization, and cloud infrastructure.
You will work on consumer-facing applications, handle large datasets, and contribute to building reliable, high-performance systems.
Key Responsibilities
- Design, develop, and maintain full-stack web applications using MERN stack
- Build scalable and secure RESTful APIs and backend services using Node.js & Express
- Develop reusable and high-performance React components with proper state management
- Implement microservices-based architecture and inter-service communication
- Optimize application performance at both frontend and backend levels
- Work with MongoDB for data modeling, indexing, and performance tuning
- Handle large datasets efficiently and ensure system reliability
- Implement logging, tracing, and monitoring for production-ready applications
- Collaborate with product, frontend, backend, and DevOps teams
- Write clean, maintainable, and well-documented code
Technical Requirements
Backend
- Strong hands-on experience with Node.js & Express.js
- Expertise in building REST APIs and backend business logic
- Strong understanding of async programming (Callbacks, Promises, Async/Await)
- Experience with microservices architecture
- Hands-on experience with MongoDB (Expert level)
- Working knowledge of PostgreSQL / MySQL
- Experience with Kafka or other message queue systems
- Familiarity with Bull / job schedulers
Frontend
- Strong experience with React.js
- Hands-on experience with state management (Redux, Context API, or similar)
- Good understanding of HTML, CSS, AJAX
- Experience with performance optimization techniques in React
Infrastructure & Cloud
- Experience with Docker and Kubernetes (K8s)
- Hands-on exposure to AWS services such as EC2, S3, ELB, AutoScaling, CloudFront
- Understanding of CI/CD pipelines is a plus
Core Computer Science
- Good understanding of Data Structures & Algorithms
- Solid knowledge of Operating Systems fundamentals
Good to Have
- Experience with Redis for caching
- Exposure to Vue.js
- Experience working on consumer-facing web or app products
- Strong debugging and problem-solving skills
- Familiarity with application monitoring tools (logs, metrics, tracing)
What We’re Looking For
- Strong problem-solving mindset and ownership attitude
- Ability to learn new tools and technologies quickly
- Comfortable working in fast-paced, production-driven environments
- Immediate or short-notice joiners preferred
Role Description
- Develop the tech stack of Pieworks to achieve the fly-wheel in the most efficient manner
- Focus on standardising the code, making it more modular to enable quick updations
- Integaring with various APIs to provide seamless solution to all stakeholders
- Build a robust node based information tracking & flow to capitalize on degrees of separation between members, candidates
- Bring in new design ideas to make the UI stunning and UX functional i.e one click actionable, as much as possible
Mandatory Criteria
- Ability to code in Java
- Ability to Scale on AWS
- Product Thinking
- Passion for Automation
If interested kindly share your updated resume at 82008 31681
*Must speak fluent english*
Video Pre-Screen Interview Required... After submitting please also visit here to apply & start the initial video interview:
Job description
We believe cloud based technology has changed how we work. Our commercial lending SaaS platform empowers our client base of brokers and lenders to create a seamless borrower experience, manage a network of brokers, & scale their entire lending organization in the cloud powered by LendingWise
Company Description
Do you want to work for a company powering the digital lending transformation across numerous lending verticals? We work to make a lending platform that is robust, customizable, & turnkey for numerous business purpose lending products like residential/commercial real estate lending, business funding, SBA, Equipment, MCA and more. The lending suite of products includes a CRM, LOS, Marketplace, and Servicing capabilities, ALL-IN-ONE platform. It’s the holy grail for every private lender/commercial lender/bank/Credit Union or broker of any size. We launched in early 2018 and have seen explosive growth nationwide.
Position Summary
LendingWise is looking for a Full Stack Developer/Architect who has the ability to define, develop and manage the existing architecture strategy for the LendingWise platform & its inter-connected products related to CRM, LOS, Servicing & Marketplace of lenders. You will be responsible for introducing new applications, services, and technologies into the LendingWise technical landscape and you will take responsibility for the initiatives you designed. You will need expert level knowledge of a variety of business domains including, but not limited to, CRM, Loan Origination, Loan Servicing, Payment integration, & API connectivity for various integrations for mortgage vendors (Plaid, Corelogic, DocMagic, Docusign, etc… & CRMs like hubspot, salesforce, etc… You need to manage input from our product owner/manager & CEO and assume overall responsibility for the execution of multiple, large-scale, mission critical initiatives. You will be accountable to a variety of primary business stakeholders for the quality and success of programs assigned to you. An acute sense of attention to detail is necessary. This role requires working with teams within and outside the USA. Flexibility in working hours will be required.
Key Responsibilities
Help plan, architect, & review various phases, features, bugs, & enhancements of the CRM, Loan Origination, & Loan Servicing platform & API connectivity hub
Introduce new tools and fresh insights to assist with development goals
Work on new features, enhancements, bugs & refactor code to MVC structure within the LendingWise platform
Requirements
Deep knowledge of Core PHP & other PHP frameworks, including strong experience with MVC patterns
JavaScript, HTML, Bootstrap
MySQL & Stored Procedures
Excellent skills in object-oriented programming and MVC design patterns
Comfortable working with SSH command line & GitHub version control, & PHP Storm
Solid knowledge of RESTful API endpoints
Multi-tenant CRM, ERP, Real Estate, Loan or FinTech Experience required
Compensation:
Competitive Salary & Bonuses
2 weeks paid time off annually
Flexible work schedule
Job Type: Full-time
Location:
Remote
Procedure is hiring for WorkHero.
Across the U.S., thousands of small HVAC businesses are drowning in admin. WorkHero pairs seasoned office managers with AI workflows to free up their time, unlock growth, and modernize the trades. We handle everything that touches the back office of a small HVAC operation: billing, rebates, permits, warranties, marketing, and more. Our customers save dozens of hours every week, allowing them to focus on growing their business.
We are building at the intersection of Human and AI automation, and that’s where you come in!
How you will help us achieve it
As an Applied AI Engineer, you will collaborate with the company founders, product team, and office managers to develop agentic workflows for many of their daily processes. You will ideate, design, implement, and maintain the software side of the product. You will design the UX, develop the front end interfaces, build backend routes and design database models. The bulk of this role is interacting with office managers to understand their workflows and then creating and managing AI agents & workflows to make them more efficient.
In your day to day, you will:
- Partner with our frontline staff to understand their work so you can automate it with AI and save them time
- Live on the cutting edge of Human & AI interactions, keeping up to date with the latest patterns and how they apply to WorkHero and our workflows
- Contribute to exceptional code quality and performance of the code base
- Mentor young engineer(s) to be great at their craft, as our team grows
Key Details
- You can work remotely from anywhere with an overlap of at least four hours with the product team (6 pm to 10 pm IST)
- This role involves participating in calls with US-based stakeholders
- The compensation comes with a salary and an equity component
- Location - Remote
- YOE - 5 to 10 years
- NP - Immediate to 30 days
You’ll thrive if you
- Care about your craft and the mission of the software you are developing
- Are enterprising and can figure out how to convert workflows/playbooks to AI agents
- Work with cutting-edge AI tools and APIs
- Don’t just complete tickets that are assigned to you; you think deeply about the product and how you can make it great, then put that into action
- Enjoy developing 0-1 software products iteratively
- Are proficient in the Typescript ecosystem, including monorepos.
- Are skilled in React and Express (Koa is a plus) or similar tech
- Are pragmatic and understand trade-offs in software engineering
Requirements
- 4+ years of experience in building software products
- Have created applications using AI and LLMs. Can understand when to prompt, use RAG, create agents or fine-tune an LLM
- Have solid experience with the MERN stack
- Ability to debug and optimize complex systems
- Excellent communication and collaboration skills
Bonus points if you have
- Experience in mentoring junior team members. Better if they had gone to replace you in your team, allowing you to take up a more meaningful role
- Familiarity with our tech stack (React, Koa, Mongo, AWS, React Native)
- A good understanding of UX best practices for SaaS based interfaces & AI
- Built apps using React Native
- A deep understanding of infrastructure and can optimize for cost
- Set up evaluation frameworks for agentic workflows
- Contributed to open-source projects
Your First Six Months
- You will be working on creating AI Agents/Workflows based on the playbooks for some of the crucial workflows of HVAC office managers
- You will work on building the frontend, APIs and apply AI knowledge to add features to the office manager and admin portal, as well as the mobile app
- You will be using Vercel AI SDK to create abstracted AI agents and workflows with the capability of falling back to different providers
- You will demo the agentic workflows to US-based stakeholders—small HVAC business owners, product team and office managers
- You will monitor and manage the AI Workflows, ensuring quality and accuracy, improving them over time
About engineering at WorkHero
We value:
- High ownership and fast iteration
- Deep understanding our tools and systems
- Continuous improvement, both technically and interpersonal
Our technology stack:
- Full Stack TypeScript (React, React Native, KoaJS Backend, CRXJS Browser Extension)
- NX Monorepo with shared typing & libraries
- Infrastructure:
- AWS (ECS, Hosted RMQ)
- MongoDB Atlas
- Firebase & GCP services
- AI Tooling (Anthropic, OpenAI, Gemini, Deepgram)
Our team
- The Company is funded by Workshop Ventures Partners, a US-based venture studio focused on building great companies in Climate Tech
- The team consists of founding members from Harvard Business School and the Workshop Ventures team — Kyler, Furman, Chad, Jason, and Ulhas
Interview Process:
- Screening: Review of your open source contributions and past projects.
- First Round of Technical Evaluation: Assessing your problem-solving and AI integration skills.
- Technical Evaluation + Cultural Fit: Understanding your alignment with our team.
Facilitation and Business Analysis skills.
Estimation and Project Planning skills for enterprise level applications.
Excellent communication and technical leadership skills.
The responsibilities include -
1. Hiring a best-in-class engineering team
2. Working with bank partners to integrate APIs
3. Building a smooth and fast user experience
Salary no bar. Equity will be offered to the right candidate.










