Software Engineer

Job Title: AI Architecture Intern

Company: PGAGI Consultancy Pvt. Ltd.

Location: Remote

Employment Type: Internship

Position Overview

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

Duration: 6 months

Key Responsibilities:

• AI System Architecture Design: Collaborate with the technical team to design robust, scalable, and high-performance AI system architectures aligned with client requirements.
• Client-Focused Solutions: Analyze and interpret client needs to ensure architectural solutions meet expectations while introducing innovation and efficiency.
• Methodology Development: Assist in the formulation and implementation of best practices, methodologies, and frameworks for sustainable AI system development.
• Technology Stack Selection: Support the evaluation and selection of appropriate tools, technologies, and frameworks tailored to project objectives and future scalability.
• Team Collaboration & Learning: Work alongside experienced AI professionals, contributing to projects while enhancing your knowledge through hands-on involvement.

Requirements:

• Strong understanding of AI concepts, machine learning algorithms, and data structures.
• Familiarity with AI development frameworks (e.g., TensorFlow, PyTorch, Keras).
• Proficiency in programming languages such as Python, Java, or C++.
• Demonstrated interest in system architecture, design thinking, and scalable solutions.
• Up-to-date knowledge of AI trends, tools, and technologies.
• Ability to work independently and collaboratively in a remote team environment

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

Compensation:

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

After completion of the internship period, there is a chance to get a full-time opportunity as an AI/ML engineer.

Preferred Experience:

• Prior experience in roles such as AI Solution Architect, ML Architect, Data Science Architect, or AI/ML intern.
• Exposure to AI-driven startups or fast-paced technology environments.
• Proven ability to operate in dynamic roles requiring agility, adaptability, and initiative.

Java Technical Lead – Job Description We are solving complex technical problems in the financial industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. Experience: 10+ years Location: Bangalore Job Description: • Experience in Core Java, Spring Boot. • Experience in microservices. • Extensive experience in developing enterprise-scale systems for global organization. Should possess good architectural knowledge and be aware of enterprise application design patterns. • Should be able to analyze, design, develop and test complex, low-latency client-facing applications. • Good development experience with RDBMS in SQL Server, Postgres, Oracle or DB2 • Good knowledge of multi-threading • Basic working knowledge of Unix/Linux • Excellent problem solving and coding skills in Java • Strong interpersonal, communication and analytical skills. • Should be able to express their design ideas and thoughts. About Wissen Technology: Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’. Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world. Wissen Technology offers an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation. We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. 

Mandatory Skills:

• Strong hands-on experience in Python
• Experience in Generative AI / LLMs
• Good understanding of FinTech or Banking domain
• Experience with APIs and Microservices
• SQL/Database knowledge
• Cloud platform experience (AWS/Azure/GCP)
• Strong communication and problem-solving skills

Experience: 8+ years, senior candidates only | Type: Full-time | Location: Remote (India)

 ---

 WHAT WE'RE BUILDING

 See http://www.juliet.space

 We're building Juliet, an AI that runs marketing end to end. Our users are marketers, founders, CEOs, growth leads, agencies, and SMBs — not developers. They

 tell Juliet the goal. She plans, writes production code, and ships real marketing: conversion-optimized websites, launch assets, campaigns, audits, autonomously.

 That's the engineering problem in one line: the humans in the loop can't read code, so the agent has to get it right on her own — plan, build, self-correct,

 recover, ship.

 Under the hood: a browser-based studio backed by cloud sandboxes, a real-time SSE streaming pipeline, and a LangGraph agent working across 83 tools and 63 skill

 modules. The agent isn't bolted onto the product. She is the product.

 Small team, big ambitions. You'll ship things users touch daily, not write tickets about them.

 ---

 THE ROLE

 We're hiring one architect-level backend engineer to own Juliet's agentic infrastructure end to end. That means the agent graph, the execution environment, the

 streaming pipeline, the state and memory systems — and setting technical direction for the engineers working alongside you.

 This is a player-coach seat. You'll still write code every day, and your architectural calls become the product. You'll work directly with the founder. No PMs in

 between.

 Frontend is part of the system. You won't be leading it, but you'll need to understand how the agent's output reaches the browser and be able to ship full-stack

 features when needed.

 ---

 THE STACK

 AI agent (primary): Python 3.11, LangGraph 1.x + LangChain, Anthropic / Google / OpenAI model providers

 API (primary): NestJS 11, Supabase, Redis, PostgreSQL, Server-Sent Events

 Infra (primary): Modal cloud sandboxes, Docker, Netlify deployments

 Frontend (secondary): Next.js 15, React 19, TypeScript, Zustand, CodeMirror 6, XTerm.js

 Monorepo: Turborepo, pnpm

 ---

 WHAT YOU'LL WORK ON

 The majority of your time is here:

 Agentic AI workflows — Design, extend, and harden the LangGraph agent graph: multi-step planning, code generation, tool dispatch, self-correction, and recovery

 across 83 tools and 63 skill modules. This is the core of the product.

 Real-time streaming architecture — The SSE pipeline that carries every agent action from the Python backend through NestJS to the browser: event framing,

 reconnection, health monitoring, interrupt handling for plan approvals and clarifying questions.

 Agent execution environments — Sandbox lifecycle on Modal: container spin-up, file sync, terminal I/O, command execution, and live preview with per-asset esbuild

 bundling. The agent lives here.

 State and memory systems — LangGraph Postgres checkpointers, middleware-injected context (goals, design docs, memory anchors), conversation summarization. How

 the agent knows what it knows.

 Backend API and data layer — NestJS services, Supabase schema, Redis caching, quota enforcement, webhook handling. The plumbing the agent depends on.

 Marketing intelligence pipelines — AEO, CRO, and brand-perception audit engines: multi-LLM probing, parallel inference, streamed structured reports, result

 caching. Audit-at-scale infrastructure.

 The remaining ~25% of your time:

 Full-stack product features — Collaboration (roles and permissions), the Netlify deployment pipeline, subscription and quota flows, onboarding. You'll ship these

 end to end — backend first, frontend to close the loop.

 ---

 WHAT WE'RE LOOKING FOR

 Must-have:

 - 8+ years of professional software engineering, including meaningful time as a tech lead or systems architect who owned something end to end. Closer to ten is

 the norm for people who thrive here.

 - Both worlds on your resume: engineering rigor inside a large company and 0-to-1 ownership at an early-stage startup.

 - Production agentic systems experience. You've built and operated LLM agent systems in production with LangGraph, LangChain, or equivalent — agent graphs, tool

 use, state management, prompt engineering, evals. This means well beyond calling a chat endpoint.

 - Strong Python. You design and ship production Python daily. The agent codebase is yours to own.

 - Architect-level system design. You can own how data flows across four services, make tradeoffs under uncertainty, and defend every call.

 - AI-native development workflow. You drive Claude Code, Codex, or similar agentic tools as everyday instruments — not occasionally. You have opinions about

 working with coding agents because you do it constantly.

 - Real-time backend systems. You've built SSE, WebSocket, or streaming API infrastructure in production — not just consumed it.

 - Strong TypeScript. The API layer and most product features are in TypeScript. You're productive in it.

 Strong plus:

 - Background in developer tools, IDEs, or coding/execution platforms

 - Container runtimes and sandboxed execution (Modal, E2B, Firecracker, or similar)

 - Depth in PostgreSQL, Redis, and Supabase

 - LLM observability and evals tooling (LangSmith or similar)

 - NestJS or equivalent Node.js API framework experience

 - React/Next.js — enough to ship a full-stack feature without handoff

 - Exposure to marketing, growth, or publisher-facing products

 ---

 WHY THIS ROLE IS DIFFERENT

 You own the architecture. Not a feature factory. Not someone else's design doc. The technical execution of an AI product is yours to lead.

 The agent is the product. You're not adding AI to an existing system. You're building and operating the system that is the AI. Every architectural decision

 touches what Juliet can and can't do.

 Hard problems, always. The system spans cloud sandboxes, streaming infrastructure, multi-step agent graphs, and a full-stack web product — for non-technical

 users who can't course-correct a broken output. The bar is high.

 Small team, real leverage. Your code ships to users the same week. No layers of approval.

 ---

 HOW TO APPLY

 Send us:

 1. A short note on the most complex agentic system you've shipped: what broke, and what you'd redo. A link to something you've built that involves agent graphs, tool use, or autonomous multi-step execution

 2. What is one thing you would improve about Juliet? It could be a feature or a bug.

Location: Bengaluru (Work from Office – 6 Days a Week)

About the Role

We're looking for a Software Development Engineer III (SDE-3) to join our growing engineering team. We're seeking engineers who have previously built, scaled, or significantly contributed to applications serving 100K+ users. You'll be joining a small, high-impact team, so we're looking for engineers who thrive on ownership, move quickly, and enjoy solving challenging technical problems.

We are technology agnostic and value strong engineering fundamentals over expertise in any particular language or framework. Whether your background is Backend, Frontend, or Full Stack, we'd love to hear from you.

What You'll Do

• Design, develop, and maintain scalable, reliable, and high-performance applications.
• Build robust, production-ready software that delivers exceptional user experiences.
• Take end-to-end ownership—from design and development to deployment and production support.
• Work closely with Product, Design, and Engineering to deliver impactful features.
• Write clean, maintainable, and well-tested code following engineering best practices.
• Leverage AI-assisted development tools (such as GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar) to improve development speed, code quality, debugging, testing, and overall engineering productivity.
• Participate in architecture and design discussions, balancing scalability with simplicity.
• Troubleshoot production issues and continuously improve system performance and reliability.
• Contribute to a collaborative engineering culture through code reviews and knowledge sharing.

Must-Have Qualifications

• 4–6 years of professional software development experience.
• Strong proficiency in at least one high-level programming language, such as Python, Go (Golang), C#, JavaScript/TypeScript, Kotlin, Scala, or Ruby.
• Strong understanding of Data Structures, Algorithms, Object-Oriented Programming, and System Design.
• Hands-on experience building, scaling, or maintaining production applications with a user base of 100K+ users.
• Proven experience working on high-traffic, large-scale consumer or B2B products where performance, reliability, and scalability were critical.
• Experience developing modern Backend, Frontend, or Full Stack applications.
• Strong understanding of APIs, databases, and scalable application architecture.
• Demonstrated ability to effectively use AI coding assistants to accelerate software development while maintaining high standards of code quality and engineering best practices.
• Excellent problem-solving skills and a strong sense of ownership.

Preferred Qualifications

• Experience working on platform or infrastructure products is highly preferred.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with microservices, distributed systems, CI/CD, and containerization.
• Experience working in product companies or fast-paced startup environments.

Who You Are

• You enjoy working in small, fast-moving teams where every engineer has significant ownership.
• You're comfortable wearing multiple hats and contributing across different parts of the stack when needed.
• You've previously worked on products operating at scale and understand the engineering challenges of supporting 100K+ active users, including performance optimization, reliability, and scalability.
• You have a product mindset and care deeply about performance, scalability, and user experience.
• You're a proactive problem solver who enjoys taking initiative and driving projects independently.
• You embrace modern engineering practices, including the effective use of AI tools to enhance productivity without compromising software quality.
• You value collaboration, continuous learning, and building high-quality software.

Why Join Us?

• Join a high-impact engineering team with significant ownership and autonomy.
• Solve challenging engineering problems with a focus on performance, scalability, and reliability.
• Collaborate with talented engineers in a fast-paced, product-driven environment.
• Build software that directly impacts thousands of users while accelerating your technical growth.

Job Title: Devops+Java Engineer

Location: Bangalore

Mode of work- Hybrid (3 days work from office)

Job Summary: We are looking for a skilled Java+ DevOps Engineer to help enhance and maintain our infrastructure and applications. The ideal candidate will have a strong background in Java development combined with expertise in DevOps practices, ensuring seamless integration and deployment of software solutions. You will collaborate with cross-functional teams to design, develop, and deploy robust and scalable solutions.

Key Responsibilities:

• Develop and maintain Java-based applications and microservices.
• Implement CI/CD pipelines to automate the deployment process.
• Design and deploy monitoring, logging, and alerting systems.
• Manage cloud infrastructure using tools such as AWS, Azure, or GCP.
• Ensure security best practices are followed throughout all stages of development and deployment.
• Troubleshoot and resolve issues in development, test, and production environments.
• Collaborate with software engineers, QA analysts, and product teams to deliver high-quality solutions.
• Stay current with industry trends and best practices in Java development and DevOps.



Required Skills and Experience:

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent work experience).
• Proficient in Java programming language and frameworks (Spring, Hibernate, etc.).
• Strong understanding of DevOps principles and experience with DevOps tools (e.g., Jenkins, Git, Docker, Kubernetes).
• Knowledge of containerization and orchestration technologies (Docker, Kubernetes).
• Familiarity with monitoring and logging tools (ELK stack, Prometheus, Grafana).
• Solid understanding of CI/CD pipelines and automated testing frameworks.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.