
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
About
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/
Tech stack
Similar jobs
We are looking for a highly skilled AI Platform Engineer to build and scale agentic AI capabilities across our product suite. You’ll work on multi‑agent systems, orchestration platforms, RAG pipelines, and real‑time AI services used in enterprise workflows.
🔹 Key Responsibilities
- Build and maintain AI platform services enabling agentic workflows
- Develop domain-specific agents (proposal generation, compliance, data analysis)
- Implement multi-agent orchestration using LangGraph and related frameworks
- Build APIs, SDKs, and integration layers for product teams
- Design and optimize RAG, GraphRAG, and knowledge ingestion pipelines
- Enhance orchestration platforms, WebSocket communication, and error recovery
- Optimize performance, latency (<3s), cost, and reliability of AI systems
- Collaborate closely with ML engineers and data scientists on models, prompts, and A/B testing
🔹 Required Skills & Experience
- 5+ years of software engineering experience (1–2+ years in AI/ML systems)
- Strong Python (FastAPI, async, LangChain/LangGraph)
- Experience with LLM APIs (OpenAI, Claude, Llama, Phi‑3)
- Hands-on RAG, embeddings, vector databases, and hybrid search
- React + TypeScript experience (WebSockets, hooks, real-time UI)
- Knowledge of multi-agent systems, prompt engineering, and orchestration patterns
- Solid backend fundamentals: REST APIs, databases, auth, testing, Git
🔹 Nice to Have
- MLOps exposure (prompt versioning, monitoring, A/B testing)
- Experience with semantic caching and context management
- Docker and cloud deployment basics
FULL STACK DEVELOPER
JOB DESCRIPTION – FULL STACK DEVELOPER
Location: Bangalore
Key Responsibilities:
Establish processes, SLAs, and escalation protocols for the support & maintenance of web applications
Manage stakeholders with effective communication & collaborate with cross functional teams to address issues and maintain business continuity.
Design, implement, unit test, and build business applications using React, React-Native, .Net Core, .Net 8, Azure/AWS and leveraging an agile methodology and latest tech like Agentic AI & Gihub Copilot.
Facilitate scrum ceremonies including sprint planning, retrospectives, reviews, and daily stand-ups·
Facilitate discussion, assessment of alternatives or different approaches, decision making, and conflict resolution within the development team
Develop and administer CI/CD pipelines in cloud-hosted Git repositories, and source control artifacts via Git in alignment with common branching strategies and workflows
Assist Software Designer/Implementers with the creation of detailed software design specifications
Participate in the system specification review process to ensure system requirements can be translated into valid software architecture
Integrate internal and external product designs into a cohesive user experience
Identify and keep track of metrics that indicate how software is performing
Handle technical and non-technical queries from the development team and stakeholders
Ensure that all development practices follow best practices and any relevant policies / procedures
Other Duties· Maintain project reporting including dashboards, status reports, road maps, burn down, velocity, and resource utilization.
Own the technical solution and ensure all technical aspects are implemented as designed. ·
Partner with the customer success team and aid in triaging and troubleshooting customer support issues spanning across a range of software components, infrastructure, integrations, and services, some of which target 24/7/365 availability
Flexible to work in rotational shift
Required Qualification
Previous experience of leading full stack technology projects with scrum teams and stakeholder management·
BTech or MTech in computer science, or related field·
3-5 years of experience.
Required Knowledge, Skills and Abilities: (Include any required computer skills, certifications, licenses, languages, etc)·
With Proficiency in .NET Core/.Net 8/, React, React-Native, Redux, Material, Bootstrap, Typescript, SCSS, Microservices, EF, LINQ, SQL, Azure/AWS, CI CD, Agile, Agentic AI, Github Copilot·
Azure Dev Ops, Design System, Micro front ends, Data Science·
Stakeholder management & excellent communication skills.
Must have skills
React - 3 years
React Native - 3 years
Redux - 1 years
Material UI - 1 years
Typescript - 1 years
Bootstrap - 1 years
Microservices - 2 years
SQL - 1 years
Azure - 1 years
Nice to have skills
.NET Core - 3 years
NET 8 - 3 years
AWS - 1 years
LINQ - 1 years
Job Title: AI Developer/Engineer
Location: Remote
Employment Type: Full-time
About the Organization
We are a cutting-edge AI-powered startup that is revolutionizing data management and content generation. Our platform harnesses the power of generative AI and natural language processing to turn unstructured data into actionable insights, providing businesses with real-time, intelligent content and driving operational efficiency. As we scale, we are looking for an experienced lead architect to help design and build our next-generation AI-driven solutions.
About the Role
We are seeking an AI Developer to design, fine-tune, and deploy advanced Large Language Models (LLMs) and AI agents across healthcare and SMB workflows. You will work with cutting-edge technologies—OpenAI, Claude, LLaMA, Gemini, Grok—building robust pipelines and scalable solutions that directly impact real-world hospital use cases such as risk calculators, clinical protocol optimization, and intelligent decision support.
Key Responsibilities
- Build, fine-tune, and customize LLMs and AI agents for production-grade workflows
- Leverage Node.js for backend development and integration with various cloud services.
- Use AI tools and AI prompts to develop automated processes that enhance data management and client offerings
- Drive the evolution of deployment methodologies, ensuring that AI systems are continuously optimized, tested, and delivered in production-ready environments.
- Stay up-to-date with emerging AI technologies, cloud platforms, and development methodologies to continually evolve the platform’s capabilities.
- Integrate and manage vector databases such as FAISS and Pinecone.
- Ensure scalability, performance, and compliance in all deployed AI systems.
Required Qualifications
- 2–3 years of hands-on experience in AI/ML development or full-stack AI integration.
- Proven expertise in building Generative AI models and AI-powered applications, especially in a cloud environment.
- Strong experience with multi-cloud infrastructure and platforms,
- Proficiency with Node.js and modern backend frameworks for developing scalable solutions.
- In-depth understanding of AI prompts, natural language processing, and agent-based systems for enhancing decision-making processes.
- Familiarity with AI tools for model training, data processing, and real-time inference tasks.
- Experience working with hybrid cloud solutions, including private and public cloud integration for AI workloads.
- Strong problem-solving skills and a passion for innovation in AI and cloud technologies
- Agile delivery mythology knowledge.
- CI/CD pipeline deployment with JIRA and GitHub knowledge for code deployment
- Strong experience with LLMs, prompt engineering, and fine-tuning.
- Knowledge of vector databases (FAISS, Pinecone, Milvus, or similar).
Nice to Have
- Experience in healthcare AI, digital health, or clinical applications.
- Exposure to multi-agent AI frameworks.
What We Offer
- Flexible working hours.
- Collaborative, innovation-driven work culture.
- Growth opportunities in a rapidly evolving AI-first environment.
We're looking for an experienced Full-Stack Engineer who can architect and build AI-powered agent systems from the ground up. You'll work across the entire stack—from designing scalable backend services and LLM orchestration pipelines to creating frontend interfaces for agent interactions through widgets, bots, plugins, and browser extensions.
You should be fluent in modern backend technologies, AI/LLM integration patterns, and frontend development, with strong systems design thinking and the ability to navigate the complexities of building reliable AI applications.
Note: This is an on-site, 6-day-a-week role. We are in a critical product development phase where sthe peed of iteration directly determines market success. At this early stage, speed of execution and clarity of thought are our strongest moats, and we are doubling down on both as we build through our 0→1 journey.
WHAT YOU BRING:
You take ownership of complex technical challenges end to end, from system architecture to deployment, and thrive in a lean team where every person is a builder. You maintain a strong bias for action, moving quickly to prototype and validate AI agent capabilities while building production-grade systems. You consistently deliver reliable, scalable solutions that leverage AI effectively — whether it's designing robust prompt chains, implementing RAG systems, building conversational interfaces, or creating seamless browser extensions.
You earn trust through technical depth, reliable execution, and the ability to bridge AI capabilities with practical business needs. Above all, you are obsessed with building intelligent systems that actually work. You think deeply about system reliability, performance, cost optimization, and you're motivated by creating AI experiences that deliver real value to our enterprise customers.
WHAT YOU WILL DO:
Your primary responsibility (95% of your time) will be designing and building AI agent systems across the full stack. Specifically, you will:
- Architect and implement scalable backend services for AI agent orchestration, including LLM integration, prompt management, context handling, and conversation state management.
- Design and build robust AI pipelines — implementing RAG systems, agent workflows, tool calling, and chain-of-thought reasoning patterns.
- Develop frontend interfaces for AI interactions including embeddable widgets, Chrome extensions, chat interfaces, and integration plugins for third-party platforms.
- Optimize LLM operations — managing token usage, implementing caching strategies, handling rate limits, and building evaluation frameworks for agent performance.
- Build observability and monitoring systems for AI agents, including prompt versioning, conversation analytics, and quality assurance pipelines.
- Collaborate on system design decisions around AI infrastructure, model selection, vector databases, and real-time agent capabilities.
- Stay current with AI/LLM developments and pragmatically adopt new techniques (function calling, multi-agent systems, advanced prompting strategies) where they add value.
BASIC QUALIFICATIONS:
- 4–6 years of full-stack development experience, with at least 1 year working with LLMs and AI systems.
- Strong backend engineering skills: proficiency in Node.js, Python, or similar; experience with API design, database systems, and distributed architectures.
- Hands-on AI/LLM experience: prompt engineering, working with OpenAI/Anthropic/Google APIs, implementing RAG, managing context windows, and optimizing for latency/cost.
- Frontend development capabilities: JavaScript/TypeScript, React or Vue, browser extension development, and building embeddable widgets.
- Systems design thinking: ability to architect scalable, fault-tolerant systems that handle the unique challenges of AI applications (non-determinism, latency, cost).
- Experience with AI operations: prompt versioning, A/B testing for prompts, monitoring agent behavior, and implementing guardrails.
- Understanding of vector databases, embedding models, and semantic search implementations.
- Comfortable working in fast-moving, startup-style environments with high ownership.
PREFERRED QUALIFICATIONS:
- Experience with advanced LLM techniques: fine-tuning, function calling, agent frameworks (LangChain, LlamaIndex, AutoGPT patterns).
- Familiarity with ML ops tools and practices for production AI systems.
- Prior work on conversational AI, chatbots, or virtual assistants at scale.
- Experience with real-time systems, WebSockets, and streaming responses.
- Knowledge of browser automation, web scraping, or RPA technologies.
- Experience with multi-tenant SaaS architectures and enterprise security requirements.
- Contributions to open-source AI/LLM projects or published work in the field.
WHAT WE OFFER:
- Competitive salary + meaningful equity.
- High ownership and the opportunity to shape product direction.
- Direct impact on cutting-edge AI product development.
- A collaborative team that values clarity, autonomy, and velocity.
Job Title: Node.js / AI Engineer
Department: Technology
Location: Remote
Company: Mercer Talent Enterprise
Company Overview:Mercer Talent Enterprise is a leading provider of talent management solutions, dedicated to helping organizations optimize their workforce. We foster a collaborative and innovative work environment where our team members can thrive and contribute to our mission of enhancing talent strategies for our clients.
Position Overview:We are looking for a skilled Node.js / AI Engineer to join our Lighthouse Tech Team. This role is focused on application development, where you will be responsible for designing, developing, and deploying intelligent, AI-powered applications. You will leverage your expertise in Node.js and modern AI technologies to build sophisticated systems that feature Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG) pipelines.
Key Responsibilities:
- Develop and maintain robust and scalable backend services and APIs using Node.js.
- Design, build, and integrate AI-powered features into our core applications.
- Implement and optimize Retrieval-Augmented Generation (RAG) systems to ensure accurate and context-aware responses.
- Develop and orchestrate autonomous AI agents to automate complex tasks and workflows.
- Work with third-party LLM APIs (like OpenAI, Anthropic, etc.) and open-source models, fine-tuning and adapting them for specific use cases.
- Collaborate with product managers and developers to define application requirements and deliver high-quality, AI-driven solutions.
- Ensure the performance, quality, and responsiveness of AI-powered applications.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 5+ years of professional experience in backend application development with a strong focus on Node.js.
- 2+ years of hands-on experience in AI-related development, including building applications that integrate with Large Language Models (LLMs).
- Demonstrable experience developing AI agents and implementing RAG patterns.
- Familiarity with AI/ML frameworks and libraries relevant to application development (e.g., LangChain, LlamaIndex).
- Experience with vector databases (e.g., Pinecone, Chroma, Weaviate) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
Benefits:
- Competitive salary and performance-based bonuses.
- Professional development opportunities.
We are building an AI-powered chatbot platform and looking for an AI/ML Engineer with strong backend skills as our first technical hire. You will be responsible for developing the core chatbot engine using LLMs, creating backend APIs, and building scalable RAG pipelines.
You should be comfortable working independently, shipping fast, and turning ideas into real product features. This role is ideal for someone who loves building with modern AI tools and wants to be part of a fast-growing product from day one.
Responsibilities
• Build the core AI chatbot engine using LLMs (OpenAI, Claude, Gemini, Llama etc.)
• Develop backend services and APIs using Python (FastAPI/Flask)
• Create RAG pipelines using vector databases (Pinecone, FAISS, Chroma)
• Implement embeddings, prompt flows, and conversation logic
• Integrate chatbot with web apps, WhatsApp, CRMs and 3rd-party APIs
• Ensure system reliability, performance, and scalability
• Work directly with the founder in shaping the product and roadmap
Requirements
• Strong experience with LLMs & Generative AI
• Excellent Python skills with FastAPI/Flask
• Hands-on experience with LangChain or RAG architectures
• Vector database experience (Pinecone/FAISS/Chroma)
• Strong understanding of REST APIs and backend development
• Ability to work independently, experiment fast, and deliver clean code
Nice to Have
• Experience with cloud (AWS/GCP)
• Node.js knowledge
• LangGraph, LlamaIndex
• MLOps or deployment experience
Location: Hybrid/ Remote
Openings: 5
Experience: 0 - 2Years
Qualification: Bachelor’s or Master’s in Computer Science or a related technical field
Key Responsibilities:
Backend Development & APIs
- Build microservices that provide REST APIs to power web frontends.
- Design clean, reusable, and scalable backend code meeting enterprise security standards.
- Conceptualize and implement optimized data storage solutions for high-performance systems.
Deployment & Cloud
- Deploy microservices using a common deployment framework on AWS and GCP.
- Inspect and optimize server code for speed, security, and scalability.
Frontend Integration
- Work on modern front-end frameworks to ensure seamless integration with back-end services.
- Develop reusable libraries for both frontend and backend codebases.
AI Awareness (Preferred)
- Understand how AI/ML or Generative AI can enhance enterprise software workflows.
- Collaborate with AI specialists to integrate AI-driven features where applicable.
Quality & Collaboration
- Participate in code reviews to maintain high code quality.
- Collaborate with teams using Agile/Scrum methodologies for rapid and structured delivery.
Required Skills:
- Proficiency in JavaScript (ES6+), Webpack, Mocha, Jest
- Experience with recent frontend frameworks – React.js, Redux.js, Node.js (or similar)
- Deep understanding of HTML5, CSS3, SASS/LESS, and Content Management Systems
- Ability to design and implement RESTful APIs and understand their impact on client-side applications
- Familiarity with cloud platforms (AWS, Azure, or GCP) – deployment, storage, and scalability
- Experience working with Agile and Scrum methodologies
- Strong backend expertise in Java, J2EE, Spring Boot is a plus but not mandatory
Job Title: Full-Stack Developer
Location: Bangalore/Remote
Type: Full-time
About Eblity:
Eblity’s mission is to empower educators and parents to help children facing challenges.
Over 50% of children in mainstream schools face academic or behavioural challenges, most of which go unnoticed and underserved. By providing the right support at the right time, we could make a world of difference to these children.
We serve a community of over 200,000 educators and parents and over 3,000 schools.
If you are purpose-driven and want to use your skills in technology to create a positive impact for children facing challenges and their families, we encourage you to apply.
Join us in shaping the future of inclusive education and empowering learners of all abilities.
Role Overview:
As a full-stack developer, you will lead the development of critical applications.
These applications enable services for parents of children facing various challenges such as Autism, ADHD and Learning Disabilities, and for experts who can make a significant difference in these children’s lives.
You will be part of a small, highly motivated team who are constantly working to improve outcomes for children facing challenges like Learning Disabilities, ADHD, Autism, Speech Disorders, etc.
Job Description:
We are seeking a talented and proactive Full Stack Developer with hands-on experience in the React / Python / Postgres stack, leveraging Cursor and Replit for full-stack development. As part of our product development team, you will work on building responsive, scalable, and user-friendly web applications, utilizing both front-end and back-end technologies. Your expertise with Cursor as an AI agent-based development platform and Replit will be crucial for streamlining development processes and accelerating product timelines.
Responsibilities:
- Design, develop, and maintain front-end web applications using React, ensuring a responsive, intuitive, and high-performance user experience.
- Build and optimize the back-end using FastAPI or Flask and PostgreSQL, ensuring scalability, performance, and maintainability.
- Leverage Replit for full-stack development, deploying applications, managing cloud resources, and streamlining collaboration across team members.
- Utilize Cursor, an AI agent-based development platform, to enhance application development, automate processes, and optimize workflows through AI-driven code generation, data management, and integration.
- Collaborate with cross-functional teams (back-end developers, designers, and product managers) to gather requirements, design solutions, and implement them seamlessly across the front-end and back-end.
- Design and implement PostgreSQL database schemas, writing optimized queries to ensure efficient data retrieval and integrity.
- Integrate RESTful APIs and third-party services across the React front-end and FastAPI/Flask/PostgreSQLback-end, ensuring smooth data flow.
- Implement and optimize reusable React components and FastAPI/Flask functions to improve code maintainability and application performance.
- Conduct thorough testing, including unit, integration, and UI testing, to ensure application stability and reliability.
- Optimize both front-end and back-end applications for maximum speed and scalability, while resolving performance issues in both custom code and integrated services.
- Stay up-to-date with emerging technologies to continuously improve the quality and efficiency of our solutions.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 2+ years of experience in React development, with strong knowledge of component-based architecture, state management, and front-end best practices.
- Proven experience in Python development, with expertise in building web applications using frameworks like FastAPI or Flask.
- Solid experience working with PostgreSQL, including designing database schemas, writing optimized queries, and ensuring efficient data retrieval.
- Experience with Cursor, an AI agent-based development platform, to enhance full-stack development through AI-driven code generation, data management, and automation.
- Experience with Replit for full-stack development, deploying applications, and collaborating within cloud-based environments.
- Experience working with RESTful APIs, including their integration into both front-end and back-end systems.
- Familiarity with development tools and frameworks such as Git, Node.js, and Nginx.
- Strong problem-solving skills, a keen attention to detail, and the ability to work independently or within a collaborative team environment.
- Excellent communication skills to effectively collaborate with team members and stakeholders.
Nice-to-Have:
- Experience with other front-end frameworks (e.g., Vue, Angular).
- Familiarity with Agile methodologies and project management tools like Jira.
- Understanding of cloud technologies and experience deploying applications to platforms like AWS or Google Cloud.
- Knowledge of additional back-end technologies or frameworks (e.g., FastAPI).
What We Offer:
- A collaborative and inclusive work environment that values every team member’s input.
- Opportunities to work on innovative projects using Cursor and Replit for full-stack development.
- Competitive salary and comprehensive benefits package.
- Flexible working hours and potential for remote work options.
Location: Remote
If you're passionate about full-stack development and leveraging AI-driven platforms like Cursor and Replit to build scalable solutions, apply today to join our forward-thinking team!
Must Have:
- Strong proficiency with .Net Core API development
- Experience with caching approaches for API
- Hands on with SQL Server and its variation among popular databases
- Well versed with stored procedures, query plans, altering the indexes, and troubleshooting the performance holdups
- Skilled at performance optimization of .NET APIs
- Experience & Knowledge on Open API specification & swagger documentation
- Experience in building Cloud Native Applications
- Experience in Microservices architecture
- Has worked on the deployment of applications using Docker
- Has Knowledge of Kubernetes
- Has Experience with Cache systems like Redis.
Nice to Have:
- Familiar with .NET design patterns
- Performance tuning of SQL Stored Procedures
Note: We looking for immediate joiners. We expect the offered candidate should join within 15 days. Buyout reimbursement is available for 30 to 60 days notice period applicants who can ready join within 15 days.











