Urgent Opening for Sr. AI Engineer

Job Title: Agentic AI Intern (Full-Stack)

Location: Borivali, Mumbai (Onsite)

Position Type: Summer Internship

Job Overview

We are seeking a highly motivated and technically proficient Agentic AI Intern with a strong foundation in full-stack development. In this role, you will work at the intersection of modern web development and cutting-edge Artificial Intelligence, designing autonomous AI agents and integrating AI capabilities into robust applications. The ideal candidate is adaptable, language-agnostic, and eager to leverage modern AI tools to accelerate development velocity.

Key Responsibilities

• AI Agent Development: Assist in designing, building, and deploying autonomous AI agents and workflows.
• Full-Stack Development: Support backend architecture design and frontend interface development across various modern stacks.
• API & Tool Integration: Connect external LLM APIs and manage database configurations.
• Workflow Automation: Actively integrate modern AI-assisted development tools (such as Cursor, Windsurf, or GitHub Copilot) into your daily coding workflow.
• Technical Collaboration: Collaborate with the technical team to build prototypes and maintain clean, documented code.

Technical Requirements

• Backend Ecosystems: Solid foundational knowledge in backend development, with a primary preference for Python or Node.js.
• Frontend Frameworks: Competency in building modern user interfaces (experience with React, Next.js, or similar frontend technologies).
• Adaptability & Emerging Tech: High adaptability and a strong willingness or curiosity to work with high-performance ecosystems like Go, Rust, or other modern stacks as project demands evolve.
• AI Tooling & APIs: Familiarity with utilizing AI APIs and developing within modern AI-first IDEs.

Eligibility & Location Criteria

• Education: Open to current final-year students (looking for a Summer Internship) and recent graduates in CS, IT, or related engineering disciplines.
• Geographic Requirement: Candidates must reside along the Western Line within a 25km radius of Borivali to ensure a sustainable daily onsite commute.
• Competencies: A strong problem-solving mindset, a self-driven approach to learning new technologies quickly, and clear technical communication skills.

We are looking for an experienced Laravel developer with strong expertise in PHP (Laravel framework), MySQL, and complex SQL query writing to develop and enhance our Education ERP platform. The ideal candidate should have hands-on experience working on large-scale ERP applications, handling high-volume data, and integrating AI-powered solutions into business workflows.

This is a permanent work-from-home opportunity for professionals passionate about building scalable and high-performance ERP solutions.

Key Responsibilities

• Develop, maintain, and enhance Education ERP modules using Laravel.
• Design and optimize complex SQL queries, stored procedures, views, and database structures for high-performance applications.
• Develop secure REST APIs and integrate third-party services.
• Handle large datasets and optimize application performance for enterprise-level usage.
• Debug, troubleshoot, and resolve application and database performance issues.
• Collaborate with cross-functional teams to deliver scalable and reliable solutions.
• Implement AI-powered features using LLMs, AI APIs, or automation tools to improve product capabilities and developer productivity.
• Follow coding standards, perform code reviews, and contribute to continuous product improvements.

Required Skills

• PHP
• Laravel Framework
• Core PHP
• MySQL
• Advanced SQL Query Writing
• Database Design & Optimization
• Query Performance Tuning
• REST API Development
• JavaScript
• jQuery
• HTML5
• CSS3
• Git/GitHub
• JSON
• AJAX
• AI Tools (ChatGPT, GitHub Copilot, Claude, Gemini, Cursor, etc.)
• AI API Integration (OpenAI, Gemini, Anthropic, or similar)

Mandatory Qualifications

• 3+ years of professional experience in Laravel development.
• Strong expertise in writing and optimizing complex SQL queries.
• Experience handling bulk data processing and database optimization.
• Hands-on experience in Education ERP or University/College ERP development.
• Practical experience integrating AI capabilities or using AI-assisted development tools.
• Good understanding of software architecture, security, and coding best practices.
• Excellent debugging and problem-solving skills.
• 
  

Preferred Experience

• Experience developing ERP solutions for Universities, Colleges, or Educational Institutions.
• Experience working on enterprise-scale applications with high concurrent users.
• Knowledge of ERP modules including Admissions, Fees, Examination, HR, Payroll, Inventory, Finance, Hostel, Transport, and LMS.
• Experience integrating payment gateways, SMS, email services, and third-party APIs.

Why Join Us?

• Permanent Work From Home.
• Opportunity to work on a large-scale education ERP product.
• Exposure to AI-driven product development.
• Challenging technical environment with opportunities to learn and grow.
• Long-term career growth with ownership of impactful projects.

We’re building a powerful, AI-driven communication platform — a next-generation alternative to RingCentral or 8x8 — powered by OpenAI, LangChain, and SIP/WebRTC. We're looking for a Full-Stack Software Developer who’s passionate about building real-time, AI-enabled voice infrastructure and who’s excited to work in a fast-moving, founder-led environment.

This is an opportunity to build from scratch, take ownership of core systems, and innovate on the edge of VoIP + AI.

What You’ll Do

• Design and build AI-driven voice and messaging features (e.g. smart IVRs, call transcription, virtual agents)
• Develop backend services using Python, Node.js, or Golang
• Integrate OpenAI, Whisper, and LangChain with real-time VoIP systems like Twilio, SIP, or WebRTC
• Create scalable APIs, handle call logic, and build AI pipelines
• Collaborate with the founder and early team on product strategy and infrastructure
• Participate in occasional in-person strategy meetings (Delhi, Bangalore, or nearby)

Must-Have Skills

• Strong programming experience in Python, Node.js, or Go
• Hands-on experience with VoIP/SIP, WebRTC, or tools like Twilio, Asterisk, Plivo
• Experience integrating with LLM APIs, OpenAI, or speech-to-text models
• Solid understanding of backend design, Docker, Redis, PostgreSQL
• Ability to work independently and deliver production-grade code

Nice to Have

• Familiarity with LangChain or agent-based AI systems
• Knowledge of call routing logic, STUN/TURN, or media servers (e.g. FreeSWITCH)
• Interest in building scalable cloud-first SaaS products

Work Setup

• 🏠 Remote work (India-based, must be reachable for meetings)
• 🕐 Full-time role
• 💼 Direct collaboration with founder (technical)
• 🧘‍♂️ Flexible hours, strong ownership culture

Job Details

- Job Title: Director of Engineering

- Industry: SAAS

- Function – Information Technology

- Experience Required: 9-14 years

- Working Days: 6 days

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Preferred Skills: TypeScript, AWS, NodeJS, mongodb, React.js, WebGL, Three.js, AI/ML, Docker,nKubernetes

Criteria

Candidate must be having 9+ years of engineering experience, with 3u20134 years in technical leadership

Hands-on expertise with React/Next.js, Node.js/Python, and AWS.

Ability to design scalable architectures for high-performance systems.

Should have AI/ML deployment experience

Strong 3D graphics/WebGL/Three.js knowledge.

Candidates should be from SAAS/Software/IT Services based startups or scaleup companies only

Job Description

The Role:

Company is hiring a hands-on Director of Engineering who codes, architects systems, and builds teams. You’ll set the technical foundation, drive engineering excellence, and own the architecture of our AI, 3D, and XR platform.

This is not a pure management role - expect to spend 50–60% of your time writing code, solving deep technical problems, and owning mission-critical systems. As we scale, this role transitions into CTO, taking full ownership of technical vision and long-term strategy. 

What You’ll Own:

1. Technical Leadership & Architecture

● Architect company’s full-stack platform across frontend, backend, infrastructure, and AI.

● Scale core systems: VersaAI engine, rendering pipeline, AR deployment, analytics.

● Make decisions on stack, scalability patterns, architecture, and technical debt.

● Own design for high-performance 3D asset processing, real-time rendering, and ML deployment.

● Lead architectural discussions, design reviews, and set engineering standards.

2. Hands-On Development

● Write production-grade code across frontend, backend, APIs, and cloud infra.

● Build critical features and core system components independently.

● Debug complex systems and optimize performance end-to-end.

● Implement and optimize AI/ML pipelines for 3D generation, CV, and recognition.

● Build scalable backend services for large-scale asset processing and real-time pipelines.

● Develop WebGL/Three.js rendering and AR workflows.

3. Team Building & Engineering Management

● Hire and grow a team of 5–8 engineers initially (scaling to 15–20).

● Establish engineering culture, values, and best practices.

● Build career frameworks, performance systems, and growth plans.

● Conduct 1:1s, mentor engineers, and drive continuous improvement.

● Set up processes for agile execution, deployments, and incident response.

4. Product & Cross-Functional Collaboration

● Work with the founder and product team on roadmap, feasibility, and prioritization.

● Translate product requirements into technical execution plans.

● Collaborate with design for UX quality and technical alignment.

● Support sales and customer success with integrations and technical discussions.

● Contribute technical inputs to product strategy and customer-facing initiatives.

5. Engineering Operations & Infrastructure

● Own CI/CD, testing frameworks, deployments, and automation.

● Create monitoring, logging, and alerting setups for reliability.

● Manage AWS infrastructure with a focus on cost and performance.

● Build internal tools, documentation, and developer workflows.

● Ensure enterprise-grade security, compliance, and reliability.

Tech Stack:

1. Frontend

React.js, Next.js, TypeScript, WebGL, Three.js

2. Backend

Node.js, Python, Express/FastAPI, REST, GraphQL

3. AI/ML

PyTorch, TensorFlow, CV models, Stable Diffusion, LLMs, ML pipelines

4. 3D & Graphics

Three.js, WebGL, Babylon.js, glTF, USDZ, rendering optimization

5. Databases

PostgreSQL, MongoDB, Redis, vector databases

6. Cloud & Infra

AWS (EC2, S3, Lambda, SageMaker), Docker, Kubernetes CI/CD: GitHub Actions

Monitoring: Datadog, Sentry

What We’re Looking For:

1. Must-Haves

● 9+ years of engineering experience, with 3–4 years in technical leadership.

● Deep full-stack experience with strong system design fundamentals.

● Proven success building products from 0→1 in fast-paced environments.

● Hands-on expertise with React/Next.js, Node.js/Python, and AWS.

● Ability to design scalable architectures for high-performance systems.

● Strong people leadership with experience hiring and mentoring teams.

● Ready to code, review, design, and lead from the front.

● Startup mindset: fast execution, problem-solving, ownership.

2. Highly Desirable

● AI/ML deployment experience (CV, generative AI, 3D reconstruction).

● Strong 3D graphics/WebGL/Three.js knowledge.

● Experience with real-time systems, rendering optimizations, or large-scale pipelines.

● Background in B2B SaaS, XR, gaming, or immersive tech.

● Experience scaling engineering teams from 5 → 20+.

● Open-source contributions or technical content creation.

● Experience working closely with founders or executive leadership.

Why Company:

● Hard, meaningful engineering problems at the intersection of AI, 3D, XR, and web tech.

● Build from day zero – architecture, team, and culture.

● Path to CTO as the company scales.

● High autonomy to drive technical decisions.

● Direct founder collaboration on product vision.

● High ownership, high-growth environment.

● Backed by global leaders: Microsoft, Google, NVIDIA, AWS.

Location & Work Culture:

● Location: HSR Layout, Bengaluru

● Schedule: 6 days a week, (5 days-in-office, Saturdays WFH)

● Culture: High-intensity, high-integrity, engineering-first

● Team: Young, ambitious, technically strong

Senior AI Engineer — .NET / C# 📍 Coimbatore / Chennai · Hybrid | 6+ Years | Immediate – 15 Days Notice

About Techjays

We build production-grade AI systems for enterprise clients across the US, UK, and Australia. As an Anthropic partner, we work at the frontier of AI — not experiments, but real systems that ship and scale. Our team includes engineers from Google, Akamai, NetApp, and Capgemini.

What You'll Do

• Build and ship .NET applications for enterprise clients — from design to deployment
• Integrate LLM APIs (Claude, OpenAI, Azure OpenAI) into production .NET services
• Use Claude Code daily for coding, debugging, and code reviews
• Build React UIs from wireframes to production
• Own SQL Server architecture, optimisation, and EF migrations
• Lead code reviews and mentor the team
• Work with PMs and Delivery Managers to hit sprint goals

What We're Looking For

• 6+ years in .NET — C#, ASP.NET Core, Entity Framework
• Hands-on with Claude Code or similar AI coding tools
• Strong Azure — App Services, Functions, Service Bus, Cosmos DB, DevOps
• Solid React — hooks, state management, component architecture
• Expert SQL Server skills
• Experience with RESTful and GraphQL APIs at scale
• Good grasp of Clean Architecture, DDD, CQRS, microservices

Bonus: Python, Docker, vector databases, Semantic Kernel, SignalR, GCP/AWS

Why Join

• Greenfield projects — you design the architecture
• Anthropic partner — early access to frontier AI tools
• Global client exposure with real business impact
• Team of engineers who've built at scale

Experienced Senior Full Stack Engineer to Build & Backend for Event Ticketing Platform Using Claude Code

Overview

We have the frontend already built in Replit for both user and admin experiences. We are looking for a very experienced software engineer to design, build, and scale a production ready backend for a high concurrency event ticketing platform.

This role is for a true senior engineer who actively uses Claude Code as part of their daily development workflow, understands how to review and harden AI assisted output, and can ship systems that hold up under real world load, QA, and security testing.

This is not a prototype or demo system. This backend must be reliable, scalable, secure, and extremely well documented.

What You Will Be Building

• Backend services for an event ticketing platform

• Multi tenant architecture supporting thousands of organizers and events

• High concurrency purchase and checkout flows

• Secure user, admin, and system level access controls

• Production deployments with secrets management, middleware, and security layers

• Observability, logging, and metrics suitable for QA and load testing

• A thoroughly documented backend that future engineers can onboard into quickly

Core Engineering Requirements

• 10 plus years of professional software engineering experience

• Expert level experience using Claude Code or equivalent AI coding agents in real production workflows

• Deep experience building backends with Node.js

• Strong experience with Supabase and PostgreSQL

• Experience deploying and scaling applications on Vercel

• Proven experience extending existing codebases safely

• Strong API design and database performance fundamentals

• Ability to reason clearly about concurrency, transactions, and failure modes

Scalability and Performance Expectations

The backend must be designed to support:

• Hundreds of thousands of ticket purchases

• Thousands of concurrent users and tenants

• Large traffic spikes during on sale windows

• Load testing across all major latency percentiles including p90, p95, and p99

• Extremely low tail latency under high concurrency

• Graceful degradation and recovery under stress

You should be comfortable designing and implementing caching strategies, queue based workflows, idempotent operations, locking mechanisms, and transactional safety.

Security and Production Readiness

You must be able to:

• Set up production environments with proper secrets management

• Implement middleware for authentication, authorization, and rate limiting

• Design secure communication between frontend and backend

• Apply industry best practices for security hardening

• Prepare the system to pass penetration testing

• Maintain clean separation of concerns and least privilege access

Documentation and Developer Experience Requirements

High quality documentation is a hard requirement for this role.

You must have experience:

• Using AI powered documentation tools to generate and maintain technical documentation

• Producing clear architectural overviews and system diagrams

• Writing detailed README files and onboarding guides

• Documenting APIs, data models, and critical flows

• Keeping documentation in sync with code changes over time

We expect the backend to be easy to understand, easy to extend, and well explained for future engineers.

How We Evaluate Candidates

We are looking for engineers who can demonstrate:

• Real production systems they have built or scaled

• Clear judgment in how they use Claude Code and validate AI generated output

• Strong opinions on production readiness backed by experience

• The ability to move fast without sacrificing quality or safety

A short paid technical task may be used that involves real backend work with production quality code and documentation.

We’re hiring a hands-on Full-Stack Developer to join as our first technical hire and help turn our operational edge into scalable software. You’ll work directly with the founding team to:

* Build internal and guest-facing tools in React

* Develop a Node.js backend to power core workflows

* Integrate with property management software APIs (e.g., Guesty, Hostaway, Airbnb)

* Implement and extend functionality using AI APIs like OpenAI (required)

Our Stack

* Frontend: React

* Backend: Node.js (Express or similar)

* Database: MongoDB or Postgres

* APIs: REST/GraphQL, PMS integrations

* AI: OpenAI API and related services

Must-Have Skills

* 2+ years of full-stack development experience

* Strong proficiency in React and Node.js

* Demonstrated experience integrating external APIs (especially SaaS or PMS platforms)

* Familiarity working with OpenAI or other AI APIs

* Ability to work independently and ship quickly

Nice to Have

* Background in hospitality, rentals, or operational software

* Experience building dashboards or guest lifecycle tools

* Bonus: Prior experience with Guesty, Hostaway, or PMS APIs

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

Selected candidates day-to-day responsibilities include:

1. Working on computer vision/image processing applications like object classification, segmentation, etc.
2. Working on deep learning algorithms for machine vision based inspection usecases
3. Working on Machine Vision Cameras involving variety of Lens, Filters and other Optical Elements to collect data
4. Having full stack development experience will be plus