Power Platform Engineer

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

Full Stack Developer (Backend/Frontend)

Role summary: Hands-on full stack developer building enterprise portal applications on the Microsoft/Azure stack, with direct responsibility for developing MCP servers that power the project's agentic AI capabilities. This is a pure individual-contributor developer role; team lead or manager profiles are not suitable.

Mandatory requirements:

• Strong hands-on experience in .NET full stack development
• Strong hands-on experience in Angular and TypeScript
• Hands-on experience building MCP (Model Context Protocol) servers using .NET, deployed on Azure
• Working understanding of agentic AI integration patterns — MCP client/server architecture, tool calling, and integrating AI services into applications
• Azure-based application development: Azure AKS and Azure App Service
• Microservices architecture and REST API design, integrations, and authentication (OAuth2/OIDC/Entra ID or similar)

Preferred:

• Prior experience in enterprise portal or large-scale enterprise application development
• Exposure to Azure AI services (e.g., Azure OpenAI, Azure AI Foundry) as a consumer

Tech spec: .NET, Microservices, Azure AKS, Azure App Service, REST APIs, MCP server development (.NET), Angular, TypeScript

We're building in a market that hit $47B in 2026 and is on track to hit $107.5B by 2028 and we're not chasing that opportunity from the sidelines. Our founding team brings marketing expertise from Kotak and Amazon paired with deep AI chops, we were selected as one of just 20 startups by Google, and we already have paying customers like Kotak and Myntra using the product in production. Join us early and help build the infrastructure that turns AI marketing adoption (already at 88%) into real, scaled results for customers who are already paying for it, not case studies.

Founding Product Engineer, Applied AI

Location: Mumbai • Hybrid • Reports to: CTO

WHAT THIS ROLE ACTUALLY IS

Weve built a multi-agent AI system for marketing. It works well out of the box but every client (their data, workflows, brand rules, compliance constraints, output preferences) is different. Generic doesnt ship results. Customised does.

This role is the bridge: you sit between our agent architecture and the client’s reality. You understand both deeply, and you make the agents do what each specific client needs them to do.

Think Palantir Forward Deployed Engineer, but for AI agents. An engineer who owns product outcomes end-to-end.

WHAT YOU'LL DO

Day-to-day split: roughly 60% in Codex and Claude Code shipping customisations, 40% in client rooms understanding what to ship next.

• Customise the agents. Tune prompts, build new agent capabilities, configure workflows, wire up integrations. Codex and Claude Code are your primary IDEs. You ship working code, not specs for someone else to build.
• Own client outcomes end-to-end. From discovery to live deployment, you are the person responsible for whether the agents actually solve the client’s problem. No PM-engineer handoff to hide behind.
• Problem-solve in real time. Client says “the output tone is off for our brand” or “the research agent is missing X data source” — you diagnose, fix, and redeploy, usually within days.
• Hold your own on creative. When a CMO says “this doesn’t feel right,” you can question intelligently — is it the prompt, the input brief, the brand guidelines themselves, or the client’s own confusion? Most engineers reach for the prompt. The good ones diagnose first.
• Feed learnings back to core product. Anything that gets customised 3+ times becomes a platform feature. You decide what graduates.
• Build the playbook. As we scale from 10 to 50 to 100 clients, the customisation patterns you create become the foundation others work from.

WHAT YOU NEED

• Real engineering chops. You can read a codebase, write production code, debug agent failures, and ship to live clients. AI tools are your accelerant, not your crutch.
• Comfort with agents as a system. You understand how LLMs fail, why prompts drift, what context engineering means, when to use tools vs. fine-tuning, why eval harnesses matter. If “MCP,” “tool use,” and “agent harness” feel like jargon, this isn’t the role.
• Client-facing instincts. Comfortable in a room with a CMO, an enterprise IT head, and a junior brand manager — and you can switch register for each in the same meeting. If client calls feel like tax to you, don’t apply.
• Some creative literacy. You don’t need to be a designer. You do need to be able to tell the difference between “this output is technically broken” and “this output is technically fine but creatively wrong” — and chase the right thread.
• Bias toward shipping. A working hack today beats a clean design next quarter.

YOU'LL THRIVE HERE IF

• You’re an engineer who realised products live or die on customisation, not architecture.
• You’ve been frustrated by being kept away from customers.
• You like building with AI tools and want a role where that’s the job, not a side experiment.
• You like marketing as a domain — or you’re willing to fall in love with it.

YOU WON'T THRIVE HERE IF

• You want to optimise systems in a corner with headphones on.
• You think client calls are below your pay grade.
• You think AI is overhyped (we don’t).
• You need a fully scoped ticket queue and weekly sprint rituals.

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

• Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
• Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
• Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
• Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
• Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
• Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

REVIEW CRITERIA:

MANDATORY:

• Strong Forward Deployed / Client-Facing Software Engineer / Integration / Product Support Engineer profiles
• 1–6 years of professional experience or strong internship/project work in software engineering.
• Strong proficiency in at least one programming language (Python / Java / JavaScript / TypeScript)
• Solid foundation in Data Structures, Algorithms, System Design, and ability to build production-grade solutions quickly
• Experience working on API integrations, backend services, data pipelines, or workflow-based systems
• Excellent analytical and problem-solving capability; ability to work directly with enterprise clients to diagnose and solve complex technical issues
• Strong communication skills and proven ability to collaborate with product, engineering, and customer teams
• Willingness to travel frequently to global client sites for deployments and solution delivery
• B.Tech / B.E. in Computer Science from Tier-1 institutes (IITs, BITS, NSIT, DAIICT, DTU, etc.)
• Product Company only

PREFERRED SKILLS:

• Exposure to cloud services, data integration, ETL/Reverse ETL, or workflow automation tools.
• Experience with React / frontend frameworks, low-code development, or building internal tools.
• Familiarity with AI/ML, GenAI tools, LLM-driven automation, or experience applying them to real use cases.

ROLE & RESPONSIBILITIES:

As a Forward Deployed Software Engineer (FDSE) at UnifyApps, you’ll work at the intersection of engineering, problem-solving, and customer impact. You’ll embed with enterprise clients, understand real-world problems, and design and implement solutions using the UnifyApps platform. This role is ideal for high-potential engineers from Tier-1 colleges who want to work on real enterprise-scale problems, gain full-stack exposure, and grow rapidly in a high-impact SaaS environment.

KEY RESPONSIBILITIES:

• Work with client and internal teams to understand complex business processes, legacy systems, and integration needs.
• Design, build, and deploy solutions using the UnifyApps platform across data, workflows, and GenAI/LLM use cases.
• Develop data pipelines, API integrations, and low-code apps to solve high-impact problems.
• Collaborate closely with UnifyApps’ product and engineering teams to shape platform capabilities through real deployments.
• Rapidly prototype, iterate, and deliver production-grade solutions with high ownership.
• Contribute to internal accelerators, templates, and best practices.

IDEAL CANDIDATE:

QUALIFICATIONS - REQUIRED:

• B.Tech / B.E. in Computer Science from Tier-1 institutes such as IITs, BITS, NSIT, DAIICT, DTU etc.
• 1–6 years of professional experience or strong internship/project work in software engineering.
• Proficiency in at least one programming language: Python, Java, JavaScript, or TypeScript.
• Strong foundation in data structures, algorithms, and system design.
• Excellent analytical and problem-solving skills.
• Strong communication and ability to work collaboratively.
• Willingness to travel frequently to client sites across the globe.

QUALIFICATIONS - PREFERRED:

• Exposure to data integration, APIs, cloud services, or workflow tools.
• Experience with React / frontend frameworks or low-code platforms.
• Familiarity with AI/ML concepts or GenAI tools.
• Prior internships in SaaS, enterprise tech, or consulting environments.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive salary package.
• Opportunity to learn from and work with senior leadership & founders.
• Build solutions for large enterprises that move from concept to real-world impact.
• Exceptional career growth pathways in a highly innovative and rapidly scaling environment.

Key Requirements / Skills

• 6+ years of overall experience in software development with strong expertise in building scalable web applications.
• 2+ years of experience as a Technical Lead, managing development teams and driving project delivery.
• Strong technical decision-making ability, including architecture design, technology selection, and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, RESTful APIs, API design, and server-side architecture.
• AI/ML knowledge: Experience in implementing AI/ML models or integrating AI-based solutions to solve business problems.
• Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
• Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
• Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Experience working in high-compliance environments such as healthcare systems is a plus.

Education Qualifications:

• B.Tech/M.Tech in CSE/IT/AI/ML from a good university

POSITION: HubSpot Specialist – Marketing Operations

1. We seek a talented HubSpot Specialist with expertise in Salesforce to join our team and help optimize our marketing operations.
2. You will play a crucial role in managing and enhancing our HubSpot platform, ensuring seamless integration with Salesforce, and optimizing marketing automation processes.
3. Your expertise will help us improve lead management, data accuracy, and overall campaign effectiveness.

Key Responsibilities:

● HubSpot Management:

1. Administer and optimize HubSpot marketing automation processes.
2. Create and manage workflows, email campaigns, and lead nurturing programs.
3. Develop and maintain dashboards and reports to track key metrics and performance.

● Salesforce Integration:

1. Implement and manage API integrations between HubSpot and Salesforce to ensure smooth data flow. Troubleshoot and resolve integration issues, ensuring data consistency across platforms.
2. Collaborate with development teams to customize and enhance integration functionalities.

● Marketing Automation and Campaign Management:

1. Design and execute marketing automation strategies to improve lead generation and conversion.
2. Analyze campaign performance and adjust strategies based on data insights.
3. Implement and manage Pardot integration, if applicable, to enhance marketing efforts.

● Collaboration and Support:

1. Work closely with sales, marketing, and IT teams to align strategies and achieve business goals.
2. Provide training and support to team members on HubSpot and Salesforce best practices.
3. Stay updated on industry trends and emerging technologies to recommend improvements.

● Other related duties as needed.

WHAT YOU WILL DO:

● Develop, customize, and optimize workflows, automation, and integrations in HubSpot and Salesforce.

● Manage integrations between HubSpot, Salesforce, and other marketing/sales tools.

● Ensure seamless data synchronization, integrity, and reporting across platforms.

● Collaborate with marketing and sales teams to implement automation strategies, lead scoring models, and campaign tracking.

● Create and maintain documentation for HubSpot and Salesforce configurations, workflows, and best practices.

● Troubleshoot and resolve technical issues within the marketing automation ecosystem.

● Train internal teams on best practices and system functionalities.

● Assist in data migration, cleanup, and enrichment activities to maintain database health.

● Stay updated on industry trends, platform updates, and emerging technologies.

REQUIRED SKILLS & QUALIFICATIONS:

● Bachelor’s degree in marketing, Business, Information Technology, or a related field; or equivalent certifications.

● 5+ years of proven experience managing HubSpot CRM and marketing automation platforms.

● Strong experience with Salesforce API integrations and data management.

● Excellent analytical skills with the ability to interpret data and provide actionable insights.

● Strong problem-solving skills and attention to detail.

● Preferred Skills: HubSpot certification(s), Salesforce certification(s), or experience with Salesforce development.

Experience with additional marketing automation tools or platforms.

● 6+ years of experience with Salesforce.com APIs (REST and Bulk), Salesforce.com configuration including but not limited to workflows, data validations, import tools, security & sharing, Visualforce pages, and Apex, salesforce.com, SOQL, and SOSL query language 

● Excellent communication and collaboration skills.

EMPLOYMENT TYPE: Full-Time

LOCATION: Remote PAN India

SHIFT TIMINGS: 02:00 pm to 11:00 pm IST 

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Job Overview:

We are looking for a high-ownership Software Engineer with hands-on experience in modern full-stack development. The role demands strong fundamentals, the ability to work in a startup environment, and a mindset to build, iterate, and scale products.

You will be working closely with founders and cross-functional teams to build robust, scalable, and high-performance applications.

Core Responsibilities

·        Develop and maintain web applications using Next.js (frontend) and Nest.js (backend)

·        Design, build, and optimize RESTful APIs and backend services

·        Translate business requirements into scalable technical solutions

·        Collaborate with product, design, and business teams for feature development

·        Debug, troubleshoot, and improve application performance

·        Ensure code quality through clean architecture, testing, and best practices

·        Participate in deployment, monitoring, and continuous improvement cycles 

Technical Requirements

·        Strong proficiency in JavaScript and TypeScript

·        Solid understanding of web fundamentals (HTML, CSS, APIs, browser behavior)

·        Hands-on experience with Next.js and Nest.js

·        Working knowledge of PostgreSQL or relational databases

·        Familiarity with Git and GitHub (version control workflows)

·        Understanding of API design principles and backend architecture

Good-to-Have Skills

·        Experience with deployment platforms (Digital Ocean, AWS, Docker, etc.)

·        Knowledge of authentication, authorization, and security practices

·        Exposure to CI/CD pipelines

·        Understanding of scalable system design basics

What We Want

·        Strong problem-solving mindset

·        Ability to learn fast and adapt quickly

·        Comfort working in an unstructured startup environment

·        Ownership-driven attitude (not just task execution)

·        Clear communication and collaboration skills

Ideal Candidate Profile

·        Projects demonstrating end-to-end ownership

·        Contributions on GitHub (active repositories, clean code)

·        Experience building real-world applications (not just tutorials)

·        Ability to explain technical decisions and trade-offs

What You Will Get

·        Opportunity to work directly with startup founders

·        Fast-paced learning environment and accelerated skill development

·        Exposure to real product building and scaling challenges

·        Freedom to experiment, build, and innovate

·        Performance-driven growth and responsibility

·        Competitive compensation aligned with your potential

Additional Details

·        Joining: Immediate (7–15 days preferred)

·        Probation: 3 Months 

• 5 to 7 years of professional experience in Siebel design and development
• 4 years of at least working experience in public sector eServices implementations
•  Low/No-Code development experience
•  Hands-on experience in Siebel 8. x configuration (including Siebel Tools, workflows, Siebel Scripting, Run time Events, DVM, and Siebel Open UI) is required
•  Hands-on experience in Siebel EAI Technologies HTTP, FTP, XML Transports, Web Services, and Integration workflow Processes.
•  Experience in Siebel Scripting (eScript/SVB), Business Services, & using Siebel Adapters/Connectors/APIs
•  Experience in JQuery and Ajax is highly preferred
• Siebel BI Publisher reports, contracts and agreements experience is highly preferred
•  Functional experience of Siebel 8. x Application is preferred
• Knowledge/experience in analyzing and transforming business requirements into functional design is preferred
•  Knowledge/experience in MS CRM Dynamics is preferred