AI Architect

Role: Full Stack Developer

Experience: 6–9 Years

Location: Pune / Bangalore

Work Mode: Hybrid (3 Days Work from Office)

Shift: General Shift

Payroll: Haparz

About the Role

We are seeking a highly skilled Full Stack Developer with expertise in modern Java technologies, React, and NodeJS to design and build scalable enterprise applications. The ideal candidate should have hands-on experience in developing microservices-based applications, designing APIs, and working with modern front-end frameworks. Experience with AI-enabled systems, LLM integrations, or intelligent automation platforms will be an added advantage.

Key Responsibilities

• Design, develop, and maintain scalable full-stack applications using Java, React, and NodeJS.
• Build and maintain RESTful APIs and microservices using Spring Boot and Spring Framework.
• Develop responsive and reusable front-end components using React.
• Work with Hibernate/JPA for database integration and persistence.
• Design and optimize database schemas, queries, and stored procedures in Oracle or PostgreSQL.
• Develop event-driven applications and asynchronous processing solutions.
• Collaborate with cross-functional teams including Product, QA, DevOps, and Business stakeholders.
• Participate in application architecture discussions and technical design reviews.
• Ensure code quality through unit testing, code reviews, and best development practices.
• Work with CI/CD pipelines and cloud platforms for deployment and monitoring.
• Explore and implement AI-driven development approaches, including LLM integrations and intelligent automation where applicable.

Required Skills

Backend Technologies

• Java 17/21
• Spring Framework 6.x
• Spring Boot 3.x
• Hibernate 6.x
• REST APIs
• Microservices Architecture
• Event-Driven Systems

Frontend Technologies

• ReactJS
• JavaScript
• TypeScript
• HTML5
• CSS3

Additional Backend Skills

• NodeJS
• API Design
• JSON
• Maven/Gradle

Database

• Oracle Database
• PostgreSQL
• SQL Optimization

Cloud & DevOps (Preferred)

• PCF (Pivotal Cloud Foundry)
• AWS
• Azure
• Docker
• Kubernetes
• CI/CD Pipelines
• Git

Good to Have

• LLM Integrations
• AI-enabled Automation
• Intelligent Agents
• Agentic Architectures
• GitHub Copilot
• Claude
• Codex
• Prompt Engineering concepts

Job Title : Senior Software Engineer (Full Stack — AI/ML & Data Applications)

Experience : 5 to 10 Years

Location : Bengaluru, India

Employment Type : Full-Time | Onsite

Role Overview :

We are seeking a Senior Full Stack Software Engineer with strong technical leadership and hands-on expertise in AI/ML, data-centric applications, and scalable full-stack architectures.

In this role, you will design and implement complex applications integrating ML/AI models, lead full-cycle development, and mentor engineering teams.

Mandatory Skills :

Full Stack Development (React/Angular/Vue + Node.js/Python/Java), Data Engineering (Spark/Kafka/ETL), ML/AI Model Integration (TensorFlow/PyTorch/scikit-learn), Cloud & DevOps (AWS/GCP/Azure, Docker, Kubernetes, CI/CD), SQL/NoSQL Databases (PostgreSQL/MongoDB).

Key Responsibilities :

• Architect, design, and develop scalable full-stack applications for data and AI-driven products.
• Build and optimize data ingestion, processing, and pipeline frameworks for large datasets.
• Deploy, integrate, and scale ML/AI models in production environments.
• Drive system design, architecture discussions, and API/interface standards.
• Ensure engineering best practices across code quality, testing, performance, and security.
• Mentor and guide junior developers through reviews and technical decision-making.
• Collaborate cross-functionally with product, design, and data teams to align solutions with business needs.
• Monitor, diagnose, and optimize performance issues across the application stack.
• Maintain comprehensive technical documentation for scalability and knowledge-sharing.

Required Skills & Experience :

• Education : B.E./B.Tech/M.E./M.Tech in Computer Science, Data Science, or equivalent fields.
• Experience : 5+ years in software development with at least 2+ years in a senior or lead role.
• Full Stack Proficiency :
• Front-end : React / Angular / Vue.js
• Back-end : Node.js / Python / Java
• Data Engineering : Experience with data frameworks such as Apache Spark, Kafka, and ETL pipeline development.
• AI/ML Expertise : Practical exposure to TensorFlow, PyTorch, or scikit-learn and deploying ML models at scale.
• Databases : Strong knowledge of SQL & NoSQL systems (PostgreSQL, MongoDB) and warehousing tools (Snowflake, BigQuery).
• Cloud & DevOps : Working knowledge of AWS, GCP, or Azure; containerization & orchestration (Docker, Kubernetes); CI/CD; MLflow/SageMaker is a plus.
• Visualization : Familiarity with modern data visualization tools (D3.js, Tableau, Power BI).

Soft Skills :

• Excellent communication and cross-functional collaboration skills.
• Strong analytical mindset with structured problem-solving ability.
• Self-driven with ownership mentality and adaptability in fast-paced environments.

Preferred Qualifications (Bonus) :

• Experience deploying distributed, large-scale ML or data-driven platforms.
• Understanding of data governance, privacy, and security compliance.
• Exposure to domain-driven data/AI use cases in fintech, healthcare, retail, or e-commerce.
• Experience working in Agile environments (Scrum/Kanban).
• Active open-source contributions or a strong GitHub technical portfolio.

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.

Experience: 5+ years building and operating production-grade Python services. 

Location: Remote 

To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pag8eyxvIdQ5YQCku/form

We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.

Why This Role Matters

Every insight Terrabase delivers travels through a Python service you will own. Our platform powers real-time agent workflows, multi-connector data pipelines, sandboxed execution, and versioned artifact delivery, all streaming live to enterprise customers. Reliable async workers, low-latency APIs, and precise observability are not nice-to-haves here. They decide whether customers trust the system.

Your mission: keep this engine reliable and scale it as we grow.

What You Will Do

Own the FastAPI platform. Design, extend, and operate the core services powering agent orchestration, connector management, schema resolution, streaming chat, and sandboxed execution. Async handlers, SSE and WebSocket support, Pydantic v2 validation, SQLAlchemy with Alembic migrations against PostgreSQL.

Build and scale async workers. Operate Celery workers backed by Redis and RabbitMQ for schema fetching, task routing, stuck-task detection, and real-time notifications. Understand failure modes at the worker level, not just the API level.

Own the context layer pipeline. Build and operate the ingestion pipeline that processes enterprise documents, extracts and ranks business concepts, and builds the structured knowledge layer that agents reason over. This covers connector integrations, chunking strategies, and the data contracts between upstream sources and the agent layer.

Manage data connections at scale. Build and harden runtime connectors to Snowflake, DuckDB, Databricks, BigQuery, and other warehouse and SaaS sources. Handle encrypted credentials, OAuth flows, and live schema discovery. Make connections stay alive, fail cleanly, and recover fast.

Instrument everything. Own the observability stack: Prometheus and Grafana, structured logging with correlation IDs, OpenTelemetry tracing, health endpoints. P99 latency and error budgets are yours to define and defend.

Ship and operate on AWS. Docker-based deployments, Nginx, Terraform, GitHub Actions CI/CD. Write runbooks and post-mortems anyone can use to debug at 2am. Harden secrets management and SOC 2 logging.

Collaborate across teams. The platform serves LangGraph-based agent workflows and React frontends. Design API contracts that enable sub-second streaming responses and zero-downtime releases.

What We Are Looking For

• 5+ years building and operating production Python services
• Strong bias for ownership: you identify problems, propose fixes, and drive them to closure without supervision
• Deep FastAPI expertise: async handlers, dependency injection, middleware, SSE streaming, WebSocket
• Solid Celery and Redis knowledge: retry logic, task routing, idempotency, worker failure recovery
• Hands-on with Docker, Linux, and AWS deployment
• Experience with Terraform or equivalent infrastructure-as-code tooling
• Production observability mindset: Prometheus, Grafana, structured logging, distributed tracing, alerting
• Proficient with type hints, pytest, and modern Python packaging
• PostgreSQL, SQLAlchemy, and Alembic in production
• Clear communicator: your design docs and PRs show first-principles thinking

Bonus Points

• Experience with Snowflake, DuckDB, or Databricks connector patterns
• Prior work integrating LangGraph or LangChain workflows into a production API layer
• Exposure to document processing pipelines, chunking, retrieval, or knowledge graph construction
• Contributions to open-source backend or infrastructure tooling
• Experience operating under SOC 2 or equivalent compliance requirements

Life at Terrabase

Sharp, fully remote team shipping to enterprise customers weekly. Real ownership, generous cloud budgets, and a culture that prizes reliability over ceremony.

Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

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

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

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

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

Mon-fri role, In office, with excellent perks and benefits!

Position Overview

We are seeking a Software Architect to lead the design and development of high-performance robotics and AI software stacks utilizing NVIDIA technologies. This role will focus on defining scalable, modular, and efficient architectures for robot perception, planning, simulation, and embedded AI applications. You will collaborate with cross-functional teams to build next-generation autonomous systems 9

Key Responsibilities:

1. System Architecture & Design

● Define scalable software architectures for robotics perception, navigation, and AI-driven decision-making.

● Design modular and reusable frameworks that leverage NVIDIA’s Jetson, Isaac ROS, Omniverse, and CUDA ecosystems.

● Establish best practices for real-time computing, GPU acceleration, and edge AI inference.

2. Perception & AI Integration

● Architect sensor fusion pipelines using LIDAR, cameras, IMUs, and radar with DeepStream, TensorRT, and ROS2.

● Optimize computer vision, SLAM, and deep learning models for edge deployment on Jetson Orin and Xavier.

● Ensure efficient GPU-accelerated AI inference for real-time robotics applications.

3. Embedded & Real-Time Systems

● Design high-performance embedded software stacks for real-time robotic control and autonomy.

● Utilize NVIDIA CUDA, cuDNN, and TensorRT to accelerate AI model execution on Jetson platforms.

● Develop robust middleware frameworks to support real-time robotics applications in ROS2 and Isaac SDK.

4. Robotics Simulation & Digital Twins

● Define architectures for robotic simulation environments using NVIDIA Isaac Sim & Omniverse.

● Leverage synthetic data generation (Omniverse Replicator) for training AI models.

● Optimize sim-to-real transfer learning for AI-driven robotic behaviors.

5. Navigation & Motion Planning

● Architect GPU-accelerated motion planning and SLAM pipelines for autonomous robots.

● Optimize path planning, localization, and multi-agent coordination using Isaac ROS Navigation.

● Implement reinforcement learning-based policies using Isaac Gym.

6. Performance Optimization & Scalability

● Ensure low-latency AI inference and real-time execution of robotics applications.

● Optimize CUDA kernels and parallel processing pipelines for NVIDIA hardware.

● Develop benchmarking and profiling tools to measure software performance on edge AI devices.

Required Qualifications:

● Master’s or Ph.D. in Computer Science, Robotics, AI, or Embedded Systems.

● Extensive experience (7+ years) in software development, with at least 3-5 years focused on architecture and system design, especially for robotics or embedded systems.

● Expertise in CUDA, TensorRT, DeepStream, PyTorch, TensorFlow, and ROS2.

● Experience in NVIDIA Jetson platforms, Isaac SDK, and GPU-accelerated AI.

● Proficiency in programming languages such as C++, Python, or similar, with deep understanding of low-level and high-level design principles.

● Strong background in robotic perception, planning, and real-time control.

● Experience with cloud-edge AI deployment and scalable architectures.

Preferred Qualifications

● Hands-on experience with NVIDIA DRIVE, NVIDIA Omniverse, and Isaac Gym

● Knowledge of robot kinematics, control systems, and reinforcement learning

● Expertise in distributed computing, containerization (Docker), and cloud robotics

● Familiarity with automotive, industrial automation, or warehouse robotics

● Experience designing architectures for autonomous systems or multi-robot systems.

● Familiarity with cloud-based solutions, edge computing, or distributed computing for robotics

● Experience with microservices or service-oriented architecture (SOA)

● Knowledge of machine learning and AI integration within robotic systems

● Knowledge of testing on edge devices with HIL and simulations (Isaac Sim, Gazebo, V-REP etc.)