50+ API Jobs in India

Enterprise Integration Engineer, ServiceNow / Splunk (Freelance)

Positions: 2

Experience: Ideally 5-9 years.

Mission

Build secure enterprise connectors and governed tool interfaces between the AI platform and IT operational systems.

Priority skills

We particularly want candidates with a combination of:

ServiceNow + Splunk + API engineering

ServiceNow experience should include REST APIs, Incidents, Problems, Changes, Knowledge, work notes, authentication/OAuth and ITSM workflows.

Splunk experience should ideally include SPL, REST/Search APIs, indexes, sourcetypes, saved searches, alerts and operational integrations.

Confluence REST API and Rally/Broadcom Agile Central experience are additional advantages.

Engineering fundamentals

• Python and/or Java
• REST APIs
• OAuth2
• Enterprise authentication
• Service identities
• Rate limiting
• API throttling
• Retry patterns
• Idempotency
• Async/event processing
• Audit logging
• Least-privilege security

A candidate who combines ServiceNow + Splunk + Python/API engineering + GenAI integration experience should be treated as a particularly strong profile.

Requirements & Responsibilities:-

• Strong experience in Manual Testing (Functional, Regression, Integration, and UAT).
• Hands-on experience in API Testing using Postman or similar tools.
• Creating and maintaining the QA Documentation, like Test Plans & Strategy, Test Cases & Execution Reporting, RTA(Requirement Traceability Matrix), and Release Notes.
• Good knowledge of Database Testing and SQL queries.
• Ability to create and execute test cases, test scenarios, and test plans.
• Experience in defect tracking and management using Jira or similar tools.
• Understanding of SDLC, STLC, and Agile methodologies.
• Strong analytical, problem-solving, and communication skills.
• Domain experience in Banking and FinTech is a plus.

Strong hands-on experience with Adobe Workfront.

Expertise in Workfront architecture and enterprise implementations.

Advanced knowledge of:

• Workfront configuration
• Custom Forms & Custom Fields
• Workflows & Approval Processes
• Templates
• Reports & Dashboards
• Portfolios & Programs
• User/Role/Security Management

Strong experience with Workfront Fusion.

Experience designing API-based integrations.

Strong knowledge of REST APIs, JSON, HTTP, webhooks, and data mapping.

Experience with enterprise integration platforms/middleware.

Understanding of automation, scalability, security, and governance.

Ability to create high-level and low-level solution designs.

POSITION OVERVIEW

We are seeking an experienced Senior Data Scientist & Generative AI Specialist on a contractual basis to support a premier Germany-based chemical manufacturing enterprise. In this role, you will lead the end-to-end design, development, and deployment of production-grade GenAI applications, multi-modal LLM workflows, and advanced retrieval platforms tailored to complex industrial and enterprise data ecosystems.

Working closely with cross-functional global teams, you will build robust backend microservices, implement state- of-the-art RAG/GraphRAG architectures, and leverage cloud-native AI infrastructure (Azure, Vector DBs, Knowledge Graphs) to drive operational efficiency and data-driven innovation.

KEY RESPONSIBILITIES

• GenAI & LLM System Engineering: Design, build, and deploy production-grade multi-modal GenAI applications processing text, structured technical documentation, images, and telemetry data.
• Advanced RAG & Graph Architecture: Implement cutting-edge Retrieval-Augmented Generation (RAG) and GraphRAG pipelines using document parsing frameworks, custom embeddings, vector databases, and knowledge graphs to capture complex domain relationships.
• Scalable Backend Development: Architect high-throughput, low-latency microservice APIs using Python, FastAPI, and Flask, leveraging asynchronous programming (asyncio) and strict type validation (Pydantic) for long-running LLM processes.
• Agentic Systems & Azure Ecosystem: Build autonomous agent systems using modern frameworks (MCP, A2A) and orchestrate enterprise workflows across the Microsoft Azure AI ecosystem (Azure AI Foundry, AI Search, Document Intelligence, Databricks).
• Model Optimization & Evaluation: Execute systematic LLM fine-tuning, prompt optimization, and rigorous evaluation frameworks to assess AI output accuracy, reliability, and business impact against industrial requirements.
• Data Layer Management: Architect and maintain enterprise database layers combining SQL (PostgreSQL) for structured transactional data with specialized vector search engines and graph stores.
• Rapid Prototyping: Utilize AI-assisted development tools (Copilot, Claude Code) to accelerate delivery timelines and rapidly build functional UI prototypes for client feedback.

TECHNICAL QUALIFICATIONS

Core Development & Backend:

• Python Mastery: Deep expertise in writing clean, production-ready Python using asynchronous programming (asyncio), strict type-hinting (Pydantic), and automated testing patterns.

• Backend Microservices: Hands-on experience building microservices with FastAPI and Flask structured to handle asynchronous, long-running AI background tasks.

• Database Engineering: Strong command of PostgreSQL, relational schema design, vector indexing, and knowledge graph paradigms.

Machine Learning & AI Infrastructure:

• Model Expertise: Hands-on experience with leading multi-modal LLM architectures (OpenAI, Anthropic, Google) and domain-specific AI workflows.

• Retrieval & Parsing: Proven track record with document extraction frameworks, embedding models, vector search engines, and GraphRAG architectures.

• Cloud Infrastructure: Strong proficiency with Azure AI infrastructure (Foundry, Databricks, AI Search, Document Intelligence).

• Agentic Frameworks: Practical experience with open-source agent protocols (MCP, A2A), parameter-efficient fine-tuning (PEFT/LoRA), and model evaluation methodology.

CONTRACT & REMOTE REQUIREMENTS

• Contract Engagement: Contractual structure tailored to project milestones and deliverables.

• 100% Remote Setup: Fully equipped home office with high-speed, secure internet infrastructure.

• Timezone Overlap: Guaranteed 4-hour daily overlap with Central European Time (CET/CEST - Germany) to ensure smooth collaboration with enterprise stakeholders.

• Communication: Fluent professional English communication skills (written and spoken) for asynchronous and real-time technical coordination. 

About MyOperator

MyOperator is a Business AI Operator platform that brings together WhatsApp, Calls, and AI-powered chat & voice bots to help businesses manage customer operations such as Sales, Support, Escalations, Feedback, and Refunds. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows.

About the Role

We are looking for a Senior QA Engineer (SDET) to own and scale automation across our web, backend, mobile, and AI-driven workflows.

This is a hands-on automation engineering role, not a manual testing role. You will build and maintain Playwright-based automation, strengthen mobile and API testing, integrate automation into CI/CD, and work closely with engineering teams to catch issues before they reach production.

What You'll Do

• Design, build, and maintain Playwright-based end-to-end automation for web applications.
• Build and maintain mobile test automation for Android and/or iOS using Appium, Espresso, XCUITest, or equivalent tools.
• Develop automated tests for REST/GraphQL APIs and validate backend data using SQL.
• Integrate automated test suites into CI/CD pipelines and maintain reliable test execution.
• Identify and resolve flaky tests and continuously improve automation coverage and reliability.
• Use AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar tools for test authoring, debugging, and test-data generation.
• Work closely with frontend, backend, and AI engineering teams to identify testability gaps early.
• Contribute to testing AI/LLM-driven features, where expected outputs may not always be deterministic.

Must Have

• 6–8 years of experience in QA/SDET or test automation roles.
• Strong hands-on experience with Playwright — mandatory.
• Hands-on mobile automation experience — mandatory using Appium, Espresso, XCUITest, or equivalent.
• Strong experience in API/backend automation using REST or GraphQL.
• Good knowledge of SQL for database validation.
• Strong programming and automation skills.
• Experience integrating automation into CI/CD pipelines.
• Practical experience using AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar.
• Ability to independently own automation initiatives.

Good to Have

• Experience testing AI/LLM, chatbot, conversational AI, or voice bot products.
• Experience with Langfuse or similar LLM observability tools.
• Experience with Datadog or similar APM tools.
• Experience with GitHub Actions, Jenkins, or similar CI/CD tools.
• Exposure to performance/load testing tools such as k6 or JMeter.

This Role Is Not For

• Candidates whose experience is primarily in manual testing.
• Candidates with limited hands-on coding or automation experience.
• Candidates without practical Playwright experience.
• Candidates without mobile automation experience.
• Candidates who have only executed test cases on an existing framework without meaningful automation ownership.

Why MyOperator?

Work on an AI-first customer operations platform used by 12,000+ businesses, and build automation across web, backend, mobile, and AI workflows while working closely with engineering teams.

If you enjoy writing automation code, solving complex testing problems, and taking end-to-end ownership, we'd love to hear from you.

About MyOperator

MyOperator is a Business AI Operator platform that brings together WhatsApp, Calls, and AI-powered chat & voice bots to help businesses manage customer operations such as Sales, Support, Escalations, Feedback, and Refunds. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows.

About the Role

We are looking for a Senior QA Engineer (SDET) to own and scale automation across our web, backend, mobile, and AI-driven workflows.

This is a hands-on automation engineering role, not a manual testing role. You will build and maintain Playwright-based automation, strengthen mobile and API testing, integrate automation into CI/CD, and work closely with engineering teams to catch issues before they reach production.

What You'll Do

• Design, build, and maintain Playwright-based end-to-end automation for web applications.
• Build and maintain mobile test automation for Android and/or iOS using Appium, Espresso, XCUITest, or equivalent tools.
• Develop automated tests for REST/GraphQL APIs and validate backend data using SQL.
• Integrate automated test suites into CI/CD pipelines and maintain reliable test execution.
• Identify and resolve flaky tests and continuously improve automation coverage and reliability.
• Use AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar tools for test authoring, debugging, and test-data generation.
• Work closely with frontend, backend, and AI engineering teams to identify testability gaps early.
• Contribute to testing AI/LLM-driven features, where expected outputs may not always be deterministic.

Must Have

• 6–8 years of experience in QA/SDET or test automation roles.
• Strong hands-on experience with Playwright — mandatory.
• Hands-on mobile automation experience — mandatory using Appium, Espresso, XCUITest, or equivalent.
• Strong experience in API/backend automation using REST or GraphQL.
• Good knowledge of SQL for database validation.
• Strong programming and automation skills.
• Experience integrating automation into CI/CD pipelines.
• Practical experience using AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar.
• Ability to independently own automation initiatives.

Good to Have

• Experience testing AI/LLM, chatbot, conversational AI, or voice bot products.
• Experience with Langfuse or similar LLM observability tools.
• Experience with Datadog or similar APM tools.
• Experience with GitHub Actions, Jenkins, or similar CI/CD tools.
• Exposure to performance/load testing tools such as k6 or JMeter.

This Role Is Not For

• Candidates whose experience is primarily in manual testing.
• Candidates with limited hands-on coding or automation experience.
• Candidates without practical Playwright experience.
• Candidates without mobile automation experience.
• Candidates who have only executed test cases on an existing framework without meaningful automation ownership.

Why MyOperator?

Work on an AI-first customer operations platform used by 12,000+ businesses, and build automation across web, backend, mobile, and AI workflows while working closely with engineering teams.

If you enjoy writing automation code, solving complex testing problems, and taking end-to-end ownership, we'd love to hear from you.

ElaraRise Technologies is hiring a Senior Backend / Cloud Engineer.

You'd be the first backend hire on a founding team of five, building a transaction-anchored POS and Vision AI platform for retail and food-service operators in India and East Africa.

What you'd own: the POS backend, the transaction cache, real-time updates over SignalR, and the one-way ERP export interface. Offline-first by design — sites lose connectivity regularly, and the system has to keep selling and reconcile cleanly when the line returns.

We're looking for:

✅ 5+ years hands-on .NET — real depth, no shortcuts

✅ 2+ multi-tenant SaaS projects delivered end to end

✅ Azure (IoT / cloud) experience

✅ SaaS architecture mindset

Stack: .NET 10 · C# · Blazor · Azure · ABP Commercial

ABP experience isn't required. We provide the licence, paid support and ramp-up time — we hire for fundamentals.

📍 Nellore, Andhra Pradesh

📅 Start: October 2026

Senior pay for senior skill.

#DotNet #Azure #BackendEngineer #SaaS #Nellore #AndhraPradesh

Senior Process and Proposal Engineer (Machine Manufacturing)

Location: Ghatkopar, Mumbai

Department: Marketing and Sakes

Experience: 6+ year of experience

Qualification:  B.E. Mechanical / Diploma Mechanical / Chemical Engineer

Required Skills:

 Good knowledge of AutoCAD with hands-on drafting experience.

 Experience in Pharma Equipment Industry preferred.

 Knowledge of process vessels, liquid manufacturing, ointment manufacturing, and sugar syrup systems.

 Familiarity with ASME, API, TEMA, and PED standards will be an added advantage.

 Strong communication, analytical, and coordination skills. Key

Responsibilities:

 Prepare GA Drawings, P&ID Drawings, and Layout Drawings using AutoCAD.

 Design and draft process equipment such as Pressure Vessels, Heat Exchangers, and Storage Tanks.

 Prepare mechanical data sheets, BOQ, BOM, and project costing.

 Review technical specifications, drawings, and project requirements.  Prepare technical and commercial proposals/quotations.

 Coordinate with clients and internal departments for project execution and proposal preparation.

 Ensure designs comply with applicable engineering standards and are cost-effective.

 Modify and revise designs to improve performance and resolve technical issues. 

Key Responsibilities

1. Solutioning & Proposal Development

•   Partner with Senior SMEs and Practice Leads to design end-to-end Data & AI solutions for client pursuits — contributing to structure, content, and commercial framing.

•   Build client proposals, solution documents, and program structures that are well-organized, accurate, and ready to use without significant rework.

•   Translate client requirements into structured, outcome-oriented learning journeys — adoption, capability uplift, and measurable business outcomes, not just module lists.

•   Support customized offerings across Data Engineering, AI / ML, and GenAI and Agentic AI tracks; help assemble pursuits from existing accelerators rather than rebuilding from scratch.

2. Client Engagement Support

•   Participate in client discussions, discovery calls, and requirement-gathering sessions — capture context with the rigour that makes the next conversation sharper.

•   Convert business needs into solution frameworks and delivery models with guidance from Senior SMEs; document customer priorities so Practice and Sales can act on them.

•   Support pitch decks, case studies, and success stories — buyer-specific, visually clean, and aligned to how the customer thinks about their own problem.

•   Stay engaged through the proposal cycle and handoff to delivery; ensure no requirement gets lost between discovery and execution.

3. Content & Program Structuring

•   Assist in designing curriculum outlines, learning journeys, and hands-on lab structures that hold up against real-world enterprise contexts.

•   Work with internal and external SMEs to ensure content aligns with current industry trends, real use cases, and business outcomes — not generic technology overviews.

•   Maintain a library of reusable program structures, slide assets, and case study inserts; flag gaps in the existing content library proactively.

4. Research & Market Intelligence

•   Track trends across the AI / GenAI / LLM ecosystem and Data Engineering & Analytics — translate findings into usable inputs for outreach, pitching, and offering design.

•   Identify new solution opportunities and product ideas based on market signals, customer asks, and competitor moves.

•   Benchmark StackRoute's offerings against competitors; surface gaps and differentiation angles for Senior SMEs and Practice Leads to act on.

5. Internal Collaboration

•   Work fluidly with Delivery, Sales, and external SMEs to ensure solutions designed on paper actually work in delivery — surface feasibility risks early, not late.

•   Coordinate inputs across Practice teams during pursuit cycles; hand off to delivery with documentation that captures customer commitments and success metrics.

Must Have Technical & Functional Skills

•   Good understanding of terminologies in Data Engineering (ETL, pipelines, data lakes), Data Analytics & BI concepts, and Machine Learning fundamentals, AI tools ( not technical expertise but L1-L2 knowledge should be present from application standpoint).

•   Awareness of GenAI / LLM vocabulary — prompt engineering, RAG, APIs — with enough depth to hold a credible first conversation with a technical stakeholder.

•   Strong PowerPoint skills (client-ready decks), Excel for effort estimation and costing basics, and structured documentation — proposals, SoWs, one-pagers.

•   Strong problem-solving and structured thinking — breaks complex requirements into clear, communicable solutions.

•   Comfortable communicating with both technical and non-technical stakeholders; good storytelling and presentation instincts; understanding of L&D context is a plus.

Qualifications & Experience

Required:

•   5-15 years in the education products, or in solutioning, pre-sales, or consulting roles with exposure of 3-5 years in Data/AI/Analytics.

•   Bachelor's or Master's in Computer Science, Data Science, Engineering, or a related discipline.

Nice to Have competences:

•   Prior pre-sales, proposal writing, or design development experience.

•   Certifications in cloud, data, or AI platforms (AWS, Azure, GCP, or model-provider certifications).

Core Competencies

·      Structured Thinking: Organises ambiguous client and technical inputs into logical, buyer-relevant narratives. Builds proposals that flow from problem to solution.

·      Solution Articulation: Translates Data & AI capabilities into crisp, persona-specific stories. Adapts the pitch for a CTO, L&D Head, or BU Head without losing substance.

·      Research & Synthesis: Gathers and distils large volumes of information into sharp, usable outputs. Knows what to include and what to leave out.

·      Written Communication: Writes a tight brief, a clean slide, and a clear email. Adapts register from internal working notes to buyer-facing collateral.

·      Curiosity & Learning Agility: Picks up new tools, concepts, and sectors quickly. Tracks AI / GenAI shifts proactively rather than waiting to be told what to read.

·      Bias for Action: Ships a useful 10-slide deck on time rather than a polished 20-slide deck that's late. Comfortable with iteration over perfection.

Job description:

Job Title: Technical Support Executive(API and Product)

Location: Sector-62, Noida

Company: TechRyde Private Limited

Experience: 1 to 3 years (or more)

Employment Type: Full-Time

Shift: US Shift (Night Shift)

Work Mode: 5 days (In-office)

About TechRyde:

TechRyde Private Limited is a leading technology solutions provider, delivering innovative digital transformation services in hospitality and retail space. We empower businesses with cutting-edge software solutions and seamless integrations, enabling enhanced operational efficiency and customer experience.

Job Summary:

We are seeking a technically adept and customer-focused API s Product Support Executive to join our dynamic team. This role is ideal for individuals who have hands-on experience with APIs, tools like Postman or Swagger, and a passion for solving customer issues efficiently. You will be the go-to person for providing high-quality technical support and ensuring smooth integration and operation of our software products.

Key Responsibilities:

• Provide technical product support to clients via email, chat, or calls, focusing on API-related issues and product functionalities.
• Perform API testing and troubleshooting using tools like Postman, Swagger, or similar platforms.
• Analyze, diagnose, and resolve integration or application issues in collaboration with internal teams (Engineering, Product, QA).
• Assist customers in understanding and implementing APIs, offering clear guidance and best practices.
• Maintain a deep understanding of the product and its ecosystem to deliver fast and effective support.
• Document common issues, solutions, and create support documentation and knowledge base articles.
• Escalate complex issues to the appropriate technical teams when necessary while maintaining ownership of the case.
• Ensure timely resolution of issues with strong focus on customer satisfaction and communication.

Required Skills and Qualifications:

• 1–3 years (or more) of experience in technical support, API support, or product support roles.
• Strong knowledge of RESTful APIs, API documentation, and integration practices.
• Hands-on experience with Postman, Swagger, or other API testing tools.
• Ability to perform automation testing using JavaScript (Selenium) or Python
• Understanding of software development lifecycle and debugging techniques.
• Excellent verbal and written communication skills to effectively interact with customers and internal stakeholders.
• Strong problem-solving skills and a proactive approach to resolving technical issues.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Experience with API authentication methods (OAuth, API keys, etc.).
• Familiarity with log analysis and debugging tools.
• Prior experience working with SaaS or cloud-based products.

Why Join TechRyde?

• Work on cutting-edge solutions shaping the future of hospitality and retail.
• A collaborative work environment with global clients and diverse projects.
• Growth opportunities and ongoing learning C development support.
• Flexible work culture and a supportive team.

Role Overview

We are seeking a technically strong Java Support Engineer who combines solid development knowledge with a passion for support and operational excellence. The ideal candidate should have hands-on experience in Java, Spring Boot, and Angular, along with a strong understanding of application engineering concepts, and must be comfortable working in a production support environment handling incidents, troubleshooting, monitoring, and system stability.

Work Location: Hyderabad or Chennai

Key Responsibilities

· Provide L2/L3 production support for enterprise applications.

· Troubleshoot, debug, and resolve application issues within defined SLAs.

· Analyze logs, identify root causes, and implement fixes or workarounds.

· Collaborate with development teams for permanent issue resolution.

· Monitor application health, performance, and availability.

· Support deployments, releases, and environment validations.

· Perform minor code fixes and enhancements when required.

· Document issues, solutions, and support procedures.

· Participate in on-call rotations and handle incident management.

Required Skills & Qualifications

· Strong hands-on experience in Java and Spring Boot.

· Working knowledge of Angular for frontend understanding.

· Good understanding of application architecture, APIs, microservices, and debugging techniques.

· Experience with log analysis tools, monitoring tools, and ticketing systems.

· Knowledge of SQL databases and query troubleshooting.

· Familiarity with Linux/Unix environments.

· Understanding of CI/CD, release processes, and version control (Git).

· Strong analytical, problem-solving, and communication skills

* Strong practical knowledge and interest in modern AI tools.

* Genuine curiosity and willingness to continuously learn.

* Ability to research, experiment, implement, troubleshoot and improve independently.

* Good understanding of prompting and AI workflows.

* Strong problem-solving mindset.

* Basic understanding of APIs, integrations and automation.

* Ability to explain technology clearly to non-technical people.

* Comfortable using AI to solve real-world business problems.

About the Programme

Developing an enterprise AI platform focused on financial compliance and intelligence

Role Overview

We are looking for a Full Stack Engineer to own both the application layer and the user-facing interfaces of the platform. You will build the backend services that power core workflows — case management, exception handling, and feedback loops — as well as the interfaces through which the compliance and assurance teams interact with the system. You are comfortable owning both layers and moving fluidly between them.

Key Responsibilities

Application Backend

•  Design and build the core application services powering the platform — exception case management, workflow state tracking, audit logging, and user action recording.

•  Build the feedback mechanism that captures validator decisions and overrides and routes them back to the AI layer for model improvement

•  Own the data models for all application-layer entities — exception cases, workflow states, user actions, and decision history.

•  Build and maintain the API endpoints consumed by the frontend, with clear contracts, versioning, and error handling.

•  Implement role-based access control across the application — different user types within the compliance and assurance teams require different levels of access and visibility.

•  Build notification and alerting services — surfacing deadline-sensitive items and pending exceptions to the right users at the right time.

•  Ensure all application services maintain a complete audit trail, given the compliance context in which the platform operates.

Frontend & User Interfaces

•  Build the workflow interfaces used by the compliance and assurance teams — exception queues, validation screens, dashboards, and status views.

•  Surface AI outputs — confidence scores, historical context, and recommendations — in a way that is clear and actionable for non-technical users.

• Conduct working sessions with the compliance team to validate usability and incorporate feedback before deployment.

•  Maintain a consistent, functional UI across all modules of the platform.

Quality & Production Readiness

•  Write unit and integration tests for both frontend and backend components.

•  Ensure the application layer is production-ready — monitored, observable, and stable under expected load.

Required Qualifications

Education

•  B.E. / B.Tech / M.Tech in Computer Science, Information Technology, or a related field.

Experience

•   4+ years of full stack engineering experience with ownership of both frontend and backend layers in production.

• Experience building internal enterprise workflow tools or operational dashboards.

• Comfortable being the sole owner of the full stack without dedicated frontend or backend partners.

Technical Skills

•  Frontend: React or Vue.js;

•  Backend: Python or Node.js for API and service development.

•  Databases: PostgreSQL or equivalent relational database; basic familiarity with NoSQL.

•  API Design: RESTful API design and consumption; experience working against well-defined API contracts.

•  Testing: Unit and integration testing frameworks for both frontend and backend.

•  Containerisation: Docker; basic Kubernetes familiarity.

•   Version Control: Git-based workflows, code review practices.

Preferred Qualifications

•  Experience building applications that consume or display ML or AI model outputs.

•  Prior work on compliance, operations, or workflow management tools in an enterprise environment.

•  Familiarity with data visualisation libraries for building dashboards and exception reports.

•  Exposure to accessibility and usability best practices for internal tooling.

Location - Bangalore

We are looking for a Staff Full stack Engineer with strong frontend expertise to help shape, scale, and continuously evolve our platform. In this role, you will take ownership of application architecture across the stack, drive frontend excellence, and influence engineering standards across multiple teams and products.

What You’ll Do -

• Define and evolve application architecture across frontend and backend systems, ensuring scalability, performance, and maintainability.

• Design and build modern, data-rich web applications to visualize and interact with complex industrial data.

• Take end-to-end ownership of critical features across the stack from discovery to release and observability.

• Drive frontend architecture, component design, performance optimization, and technical quality across teams.

• Contribute to backend services, APIs, and data integration layers where needed.

• Establish and promote best practices in design systems, code quality, testing, and CI/CD.

• Partner with Product, Design, Backend, and Platform teams to align on architecture and delivery.

• Mentor engineers and guide teams in adopting scalable patterns and modern engineering practices.

What You’ll Bring (Must-Have) -

• 10+ years of experience in software development with strong expertise in TypeScript and JavaScript.

• Deep hands-on expertise with a modern frontend framework (Angular preferred).

• Proven experience defining and scaling frontend architecture for complex, enterprise-grade applications.

• Strong experience with Node.js and backend service development (APIs, microservices).

• Solid understanding of API design, frontend-backend integration, and state management.

• Strong experience in Object-Oriented Design, system design, and service-oriented architecture.

• Hands-on experience with testing frameworks, observability, and CI/CD practices.

• Demonstrated ability to influence technical direction and drive engineering standards across teams.

Nice to Have -

• Experience with MEAN stack (Node.js, Express, MongoDB, Angular).

• Experience with microservices, event-driven architecture, or distributed systems.

• Experience with design systems, accessibility, and frontend performance optimization.

• Experience with 3D visualization libraries (e.g., WebGL, Three.js, Babylon.js).

• Experience with Docker, Kubernetes, and cloud platforms (Azure/AWS).

• Experience architecting or developing mobile applications (e.g., Flutter or similar frameworks).

• Exposure to data platforms, analytics systems, or GenAI/LLM-based applications.

Location: Hyderabad, India (home base), deployed at client sites in India. Occasional Middle East exposure possible.

About the Role

You will work as a senior AI consultant who embeds inside a customer's business. Your job is to learn how the business makes money, find the highest value problem, and build a working system that solves it.

You will not hand over a document and walk away. You will show working software early, own the roadmap, own the client relationship, and stay after go-live to run and improve the system.

Four behaviors define this role:

1. Go where the work happens. You work onsite with the customer, in the room where decisions are made.
2. Show working software early. You build a prototype in days, not a document in weeks.
3. One person owns the outcome. You are the single point of accountability for the result.
4. Stay after go-live. You keep running and improving the system after launch.

You are the single point of accountability. You are not a solo builder. A full KnackLabs engineering team in Hyderabad builds and runs the production systems behind you.

This role involves extended onsite deployments at client locations in other cities, sometimes up to six months at a stretch. Please apply only if you are ready for this way of working.

What you'll own

1. Discovery - Learn how the customer makes money. Find the highest value problem to solve first.
2. The prototype - Build a working prototype fast, using real or sample data, to prove the idea.
3. The roadmap - Decide what to build, in what order, and set clear success measures tied to business outcomes.
4. The build - Design and ship the production system with the Hyderabad engineering team. This includes data integration, agents, retrieval, and evaluations.
5. The client relationship - Be the trusted technical contact for the customer, from engineers to senior leaders.
6. Go live and after - Deploy the system, watch how it performs, fix problems, and improve it over time.
7. Feedback to the product - Share what you learn in the field so our platform and internal tools get better.

What we are looking for

1. Around 7 or more years of software engineering experience, including customer-facing or client delivery work.
2. Experience working at a consulting or professional services firm in a client-facing delivery role.
3. A full-stack development experience with strength in backend technologies.
4. Strong programming skills in Python. Working knowledge of TypeScript or JavaScript.
5. Production experience with large language models, including prompt engineering and agent development.
6. You build with AI coding tools like Claude Code as your default way of working. You have built real apps and agents this way, not just used it for document generation or review.
7. Experience building retrieval-augmented generation (RAG) systems: chunking, embeddings, vector databases, retrieval, and reranking.
8. Experience building and deploying AI systems.
9. Experience integrating with APIs and enterprise systems.
10. Experience with at least one cloud platform (AWS, Azure, or GCP).
11. Experience building evaluations to measure accuracy, safety, latency, and cost.
12. Clear communication. You can explain a technical choice to an engineer and to a business leader.
13. High ownership and comfort with ambiguity. You can take an unclear problem and turn it into a plan.
14. Willingness to work onsite at client locations in India for extended periods, and to travel as the work needs.

Nice to have

1. Experience deploying AI systems in regulated industries such as insurance, banking, or the public sector.
2. Experience with on-premises or private cloud (VPC) deployments.
3. Experience with observability and tracing tools such as LangSmith or Braintrust.
4. Experience with data engineering and pipelines.
5. A history of side projects, open source contributions, or products you shipped end-to-end.
6. Experience in embedded or forward-deployed roles before.

Stack and tools

1. Languages: Python and TypeScript.
2. Models: Claude and other frontier or open source models, chosen to fit the customer.
3. AI patterns: RAG, agents, prompt engineering, and evaluations.
4. Vector and retrieval: vector databases and retrieval pipelines.
5. Cloud: AWS, Azure, or GCP, on public or private cloud.
6. Integration: REST APIs and enterprise system connectors.

Job description

We are seeking an experienced and highly skilled Workato Developer to lead integration efforts between Salesforce, enterprise data warehouses, and other source systems. The ideal candidate will have deep experience in ETL processes, data migration, and ongoing data synchronization using Workato. You will be responsible for building scalable, secure, and performant integrations for a large enterprise environment. Key Responsibilities:

• Design, develop, and maintain data integrations between Salesforce and external systems (e.g., data warehouse, ERP, marketing platforms) using Workato. • Implement ETL workflows for both one-time data migrations and ongoing bi-directional data sync. • Create, configure, and maintain recipes, connections, and custom connectors in Workato. • Collaborate with Salesforce developers, data engineers, and business analysts to understand integration needs and translate them into technical solutions. • Monitor and optimize performance of integration flows and ensure data accuracy, error handling, and logging. • Develop and maintain integration documentation, data mapping, and transformation logic. • Work closely with data warehouse teams to enable seamless data exchange and transformation. • Support data quality initiatives by identifying data anomalies and recommending corrective actions. • Ensure compliance with enterprise security and data governance standards. Required Qualifications:

• 5–7 years of professional experience in data integration, ETL, or data engineering roles. • Hands-on experience with Workato or similar iPaaS platforms (e.g., MuleSoft, Boomi, SnapLogic) with proven track record of successful Salesforce integrations. • Strong expertise in integrating Salesforce with other enterprise systems (ERP, marketing tools, databases, APIs, etc.). • Proficiency in data transformation, JSON/XML, REST/SOAP APIs, and SQL. • Experience working in large enterprise environments with complex data landscapes. • Solid understanding of Salesforce data model, objects, and API limits. • Familiarity with data warehousing concepts, such as dimensional modeling, data marts, and analytics pipelines. • Bachelor’s degree in Computer Science, Information Systems, or a related field. Preferred Qualifications:

• Workato Certification or similar iPaaS certifications. • Experience with CI/CD, version control (Git), and Agile methodologies. • Exposure to Salesforce Data Loader, Salesforce Connect, or external object configurations

Senior Agentic Engineer — Ai1 Platform (Operations)

Team: Operations · Type: Full-time · Location: Fully remote (global, async-first)

Who we are

MyZone AI builds and runs Ai1 — a managed, multi-agent AI platform that gives each client their own isolated, always-on team of AI agents working across the channels and tools they already use. We're a small, AI-first, high-trust team that ships like a much bigger one. We work fully remote and async — what you ship and how clearly you write matter more than your hours.

The role

You'll join the Operations team. 

• Agentic engineering — complex agent skills and workflows, multi-agent orchestration, custom integrations, and the prompting and guardrails that make autonomous agents reliable.

What you'll do

Build agents that do real work

• Design complex, reusable skills and multi-step recipes that automate entire business processes — production automations, not demos.
• Architect multi-agent workflows: delegation, parallel execution, and agents that hand off and reassemble work.
• Build custom MCP connectors and API integrations for any tool that doesn't have one yet.
• Engineer robust prompts, human-in-the-loop controls, and built-in QA so automations are safe to run autonomously.
• Ship automations as self-contained installers that deploy across many client instances with zero rework.

Own application code end-to-end

• Own one or more services in our modular platform (Node/Express backends, React frontends) — schema, API, and UI.
• Ship features across CRM, operations, pipeline, reporting, onboarding, assessments, and chatbots.
• Contribute to our Next.js portal (Next.js 15, TypeScript, Prisma, PostgreSQL).
• Keep your components healthy: clean migrations, green CI, solid tests.

Set the bar

• Work clean: feature branches, real PRs, green CI, small changes, semantic versioning.
• Be security-conscious by default — credentials are treated like credit-card numbers; high-risk actions route through human review.
• Mentor, set patterns, and raise the team's technical level.

Who we're looking for

Must-haves

• 5+ years of professional software engineering with strong full-stack depth: Node.js / TypeScript and modern React.
• Hands-on experience building AI agents in production — tool/function calling, orchestration, memory, and evaluation. You've shipped something that uses an LLM to reliably do real work.
• Fluency with the Anthropic / Claude API (or equivalent) and real depth in prompt/context engineering.
• Strong with PostgreSQL and pragmatic API design.
• Able to own a service end-to-end and ship independently in a low-oversight, async environment.
• Excellent written communication and sound judgment around security and autonomous actions.

Bonus

• Built MCP connectors, agent frameworks, or similar orchestration layers.
• Next.js 15, Prisma, Vercel, monorepos (pnpm / Turborepo).
• Light DevOps: Linux VPS, PM2, nginx, CI.
• Used coding agents (Claude Code–style tools) to build real things.
• Integrations: Slack/Teams apps, Twilio, Google Workspace, GitHub.

How we work

Fully remote, global, async-first — no required location. Small, high-trust, and low-bureaucracy, so you'll own real work and thrive without hand-holding. Everyone here builds automations, versions their work, and maintains what they ship.

MyZone AI is an equal-opportunity employer. We hire the best person for the work, wherever they are.

About Progreva

Progreva Private Limited is a progressive, values-driven consulting and technology company. We focus on building an employee-centric work culture that promotes ownership, collaboration, professional growth, work-life balance, and well-being.

We work with global clients to support business-critical enterprise applications and develop innovative digital products.

Role Overview

We are looking for a .NET Engineer – L2 Support Specialist with hands-on experience in L2 Application Support, Manual Testing, and Product Documentation.

The selected candidate will diagnose and resolve application issues, manage incidents through ServiceNow, perform structured manual testing, maintain test cases in Azure DevOps, and create clear user and technical documentation.

This is a hybrid position and is not limited to application support. Candidates must have practical experience across support, testing, and documentation.

Key Responsibilities

L2 Application Support

• Handle L2 support tickets and user-reported application issues.
• Analyse, diagnose, and resolve incidents within the defined service timelines.
• Manage support requests through ServiceNow and provide regular updates.
• Investigate application issues using logs, SQL queries, APIs, HTTP responses, and troubleshooting techniques.
• Support and troubleshoot enterprise applications developed using the Microsoft .NET technology stack.
• Reproduce reported issues and coordinate with development teams for resolution.
• Validate fixes before closing incidents or deploying changes.
• Create and maintain ServiceNow reports and dashboards.
• Identify recurring incidents and contribute to root-cause analysis.

Manual Testing

• Perform functional, integration, regression, UAT, and release-validation testing.
• Understand business requirements and prepare appropriate testing coverage.
• Create, maintain, and execute test cases, test scenarios, and testing checklists.
• Record test results and prepare test execution reports.
• Identify, document, and report defects with clear reproduction steps.
• Retest resolved defects and performed regression testing.
• Support release testing and verification before production deployment.
• Use Azure DevOps Test Plans for test-case management, execution, traceability, and reporting.
• Track defects and testing progress through Azure DevOps.
• Generate testing-status reports and quality metrics

.

Product and User Documentation

• Prepare and maintain user manuals and end-user guides.
• Create knowledge-base articles, FAQs, and troubleshooting documents.
• Prepare and update release notes.
• Maintain test documentation, UAT records, and release-validation reports.
• Update documentation whenever new features or product changes are introduced.
• Ensure that all documentation is clear, structured, accurate, and user-friendly.

Collaboration and Process Improvement

• Work closely with support, QA, development, product, and business teams.
• Communicate technical issues and testing results clearly to relevant stakeholders.
• Participate in release planning and product-quality discussions.
• Track incident trends, testing status, and quality metrics.
• Contribute to continuous improvements across support, testing, and documentation processes.

Required Qualifications

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
• 3–7 years of relevant professional experience.
• Strong hands-on experience in L2 application or production support.
• Practical experience in manual, functional, and regression testing.
• Experience creating and maintaining test cases, test scenarios, and testing checklists.
• Strong working knowledge of ServiceNow, including incident management, reporting, and dashboards.
• Experience using Azure DevOps for Test Plans, test-case management, work-item tracking, and defect management.
• Experience supporting enterprise applications developed using the Microsoft .NET technology stack.
• Working knowledge of SQL and database troubleshooting.
• Basic understanding of REST APIs, web applications, and HTTP protocols.
• Experience investigating issues through application logs.
• Experience preparing test execution reports and release-validation documentation.
• Experience creating user manuals, knowledge-base articles, release notes, or similar documentation.
• Strong analytical, problem-solving, communication, and technical-writing skills.

What We Offer

• Opportunity to work on business-critical enterprise applications.
• Exposure to application support, quality assurance, and product documentation.
• Opportunity to work with global clients and international teams.
• Remote-first working arrangement with optional collaboration from our Pune office.
• Professional-development and continuous-learning opportunities.
• Supportive and employee-centric work culture.
• Competitive compensation between ₹8–14 LPA, based on experience and interview performance.

How to Apply

Interested candidates may share their updated CV along with the following details:

• Current CTC
• Expected CTC
• Notice period
• Current location
• Relevant experience in L2 support
• Relevant experience in manual testing
• Experience with ServiceNow and Azure DevOps

About NonStop io Technologies:

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

About the Role:

We're looking for a passionate Java Developer with 3–6 years of experience to join our engineering team. You'll work on modern product development, scalable backend systems, cloud-ready applications, and AI-assisted software development while collaborating with a talented team of engineers.

What You'll Do:

• Design and develop scalable backend applications using Java and Spring Boot
• Build and maintain REST APIs and Microservices
• Develop cloud-ready, distributed applications
• Collaborate with Product Managers, Designers, and Engineers
• Improve application performance, scalability, and reliability
• Participate in architecture and technical design discussions
• Leverage AI-powered development tools to improve productivity
• Work with CI/CD pipelines and modern engineering practices

Must-Have Skills:

• 3–6 years of experience in Java development(Min 3 Years)
• Strong expertise in Java, Spring Boot, Spring MVC, and Hibernate/JPA
• Experience building Microservices and REST APIs
• Strong understanding of OOP, Design Patterns, and Clean Coding Practices
• Experience with MySQL or PostgreSQL
• Working knowledge of Git
• Hands on experience with Frontend Technologies (HTML, CSS, JavaScript, React/Angular) 
• Experience with Maven or Gradle

Good to Have:

• Experience with AWS or cloud environments
• Exposure to CI/CD pipelines and DevOps practices
• Experience with distributed systems and scalable architectures
• Knowledge of automated testing frameworks
• Familiarity with AI-assisted development tools such as GitHub Copilot

Why Join Us?:

• Build real-world products with real impact
• Work on modern architectures and cloud technologies
• Gain exposure to AI-powered software development
• Learn from experienced engineers and architects
• Collaborative and growth-focused engineering culture
• Freedom to innovate, experiment, and own your work
• Continuous learning and career growth opportunities

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you

Key Responsibilities

• Performance Testing: Design and execute large-scale strategies using Apache JMeter.
• CI/CD Integration: Embed performance testing into pipelines and automate workflows.
• Observability: Lead monitoring initiatives with Dynatrace.
• AI Insights: Leverage Davis AI for anomaly detection, insights, and root cause analysis.
• Automation Frameworks: Build frameworks for testing, reporting, and quality gates.
• Bottleneck Resolution: Diagnose and resolve issues across applications, APIs, databases, middleware, and infrastructure.
• ML Applications: Apply ML for workload modelling, traffic forecasting, and optimization.
• Collaboration: Partner with Dev, DevOps, Cloud, and Architecture teams.
• Governance: Define standards, best practices, and governance.
• Leadership: Mentor engineers and provide technical leadership.
• Executive Reporting: Present findings and recommendations to stakeholders.

Observability & Monitoring

• Strong hands-on experience with Dynatrace.
• Proven use of Davis AI in production.
• Expertise in APM, Observability, Root Cause Analysis, and Performance Diagnostics.

Automation & AI

• Experience developing Performance Automation frameworks.
• Proficiency in Python scripting.
• Applying AI/ML for traffic prediction, load simulation, workload modelling, and performance optimization.

Cloud & Infrastructure

• Strong experience with AWS, Azure, or GCP.
• Expertise in JVM tuning, database optimization, API performance analysis, and infrastructure monitoring.

Good-to-Have

• Experience with Gatling, k6, or LoadRunner.
• Exposure to Grafana and OpenTelemetry.
• Experience with Kubernetes Performance Tuning.
• Dynatrace certifications.
• Client-facing consulting or professional services background.

POSITION: Sr. QA Engineer

We are looking for a seasoned and results-driven Senior QA Engineer with 7 to 8 years of experience in Manual and Automation Testing. The candidate should have deep expertise in QA processes, strong automation skills using Python or equivalent, and the ability to lead quality initiatives for our core product suite. You won't just be finding bugs — you will be building a resilient quality ecosystem that leverages modern tools.

What You’ll Be Doing:

● Understand business requirements and convert them into test scenarios and test cases

● Perform Manual Testing including Functional, Regression, Integration, & System Testing

● Develop, maintain, and execute Automation Scripts using Python

● Identify, report, and track defects using defect management tools

● Work closely with Developers, Product Managers, and QA team members

● Lead requirement analysis, test planning, and test case reviews

● Contribute to improving QA processes and automation coverage

● Participate in sprint planning, retrospectives, and cross-functional reviews

● Identify, report, and track defects using defect management tools; manage triage and resolution with development teams

● Catch edge cases before they become production issues

● Co-ordination is release processes

Automation Skills:

● Maintain, and extend robust Automation Frameworks ( PyTest / Selenium) for UI and backend services as well as design patterns, and

CI/CD integration

● Monitor nightly automation runs, troubleshoot defects

● Ability to design, extend, debug, and maintain test frameworks independently

API and Database Testing:

● Perform contract testing and functional validation of REST APIs using Postman or similar tools.

● Write complex SQL queries to validate data pipelines, migrations

Qualifications:

● Strong understanding of Software Testing concepts

● Experience in writing Test Cases and Test Scenarios

● Experience in Defect Tracking tools (JIRA, etc.)

● Experience in CI/CD tools (Jenkins, GitHub Actions, GitLab CI)

● Experience in Agile / Scrum methodology

● Strong analytical and problem-solving skills with a 'break-it' mentality ● Good communication skills — ability to articulate quality risks to non-technical stakeholders

● Self-motivated, quick learner, and proactive in driving quality culture

● Strong team player with empathy to help developers 'fix-it'

● Exposure to Agentic AI testing frameworks

REPORTING: This position will report to Sr. Project Manager or as assigned by Management.

EMPLOYMENT TYPE: Full-Time

Permanent LOCATION: Jaipur (Work from Office)

SHIFT TIMINGS: 10:00 AM - 07:00 PM IST

About AbleCredit

AbleCredit has built a foundational AI platform to help BFSI enterprises reduce OPEX by up to 70% by powering workflows for onboarding, claims, credit, and collections. Our GenAI model achieves over 95% accuracy in understanding Indian dialects and excels in financial analysis.

The company was founded in June 2023 by Utkarsh Apoorva (IIT Delhi, built Reshamandi, Guitarstreet, Edulabs); Harshad Saykhedkar (IIT Bombay, ex-AI Lead at Slack); and Ashwini Prabhu (IIML, co-founder of Mythiksha, ex-Product Head at Reshamandi, HandyTrain).

About the Role

We are looking for an Implementation Manager to lead end to end onboarding and deployment for our customers. The role will own requirement gathering, solution configuration, stakeholder coordination, UAT, go live, and implementation success.

What You Will Do?

• Own end to end implementation and onboarding for enterprise customers.
• Understand customer workflows, business requirements, operational challenges, and success criteria.
• Lead requirement workshops, solution walkthroughs, implementation planning, and stakeholder alignment.
• Configure workflows, questionnaires, user journeys, roles, rules, and customer specific setups.
• Coordinate integrations, UAT, pilot launches, production rollout, and post go live stabilisation.
• Work closely with Product, Engineering, Customer Success, and technology teams.
• Manage project plans, dependencies, risks, blockers, timelines, and delivery milestones.
• Troubleshoot functional issues, identify root causes, and coordinate timely resolution.
• Provide structured project updates, trackers, meeting notes, and escalation communication.
• Conduct customer training and ensure a smooth handover to Customer Success after go-live.

What You Need to Succeed?

• 4-7 years of experience in SaaS implementation, product implementation, solution consulting, technical account management, or enterprise onboarding.
• Experience working with banks, NBFCs, HFCs, fintech companies, or enterprise SaaS customers.
• Strong understanding of lending workflows, onboarding journeys, credit processes, or financial services operations.
• Basic understanding of APIs, JSON, webhooks, integrations, data flows, and SaaS configurations.
• Ability to translate business requirements into clear implementation and technical actions.
• Strong project management, stakeholder management, problem solving, and escalation management skills.
• Structured written and verbal communication.
• Comfortable managing multiple complex implementations in a fast paced environment.
• Willingness to travel for customer workshops, launches, or go live when required.

WE'RE HIRING

Forward Deployed Engineer (FDE) – AI Solutions

Location: Mumbai (On-site with Clients) | Salary: ₹30,000 – ₹50,000/month | Full-Time

Position

Forward Deployed Engineer (FDE)

Location

Mumbai (physical presence at client sites required)

Salary

₹30,000 – ₹50,000 per month (entry-level / fresher range, based on skill)

Job Type

Full-time, On-site / Client-facing

Preferred Background

CSE / IT / related engineering graduates

Eligibility

Open to all ages who meet the skill requirement

About the Role

We are looking for a Forward Deployed Engineer (FDE) to work directly at client sites across Mumbai, deploying, customizing, and supporting our AI-powered solutions. This role sits at the intersection of engineering and client relationships — you'll write/adapt code, configure AI systems on the ground, troubleshoot real-time issues, and translate technical concepts into simple language for clients. Ideal for a CSE/IT graduate who is strong in tech, genuinely curious about AI, and enjoys solving problems face-to-face with clients rather than purely behind a desk.

Key Responsibilities

-Travel to client sites across Mumbai to deploy, configure, and customize AI-based solutions

-Debug and resolve technical issues on-site, escalating complex problems to the core engineering team when needed

-Write scripts/code to integrate, adapt, or fine-tune AI tools/models for specific client use cases

-Explain technical concepts and AI capabilities clearly to non-technical stakeholders

-Gather client requirements and feedback, and relay them back to the product/engineering team

-Document deployments, issues, and solutions for future reference

Requirements

CSE / IT / Computer Engineering degree strongly preferred

Solid understanding of AI/ML concepts and tools (LLMs, APIs, automation, Python-based AI tooling, etc.)

Working knowledge of at least one programming language (Python preferred)

Excellent verbal communication skills — comfortable explaining technical topics to clients

Strong problem-solving ability and comfort working independently on-site

Quick learner, adaptable to new tools/tech stacks

Willingness to travel daily within Mumbai for client visits

Open to all age groups — skills and attitude matter more than age

Perks

Travel/conveyance allowance

Direct hands-on exposure to real-world AI deployments

Performance-based growth and incentives

Mentorship from core engineering team

- Design, develop, and maintain full stack web applications using Python (backend) and modern frontend frameworks

- Build and integrate REST APIs; work with databases (SQL/NoSQL)

- Apply AI/ML concepts or tools within applications (e.g., model integration, LLM APIs, data-driven features)

- Collaborate with cross-functional teams on financial/trading platform features

- Write clean, scalable, well-tested code; participate in code reviews

- Troubleshoot and optimize application performance

The impact that you will be making

• Drive end-to-end automation strategy by transforming manual test cases into scalable, maintainable automated suites using the inbuilt framework.
• Ensure seamless integration of automated tests into the CI/CD pipeline, enabling faster releases with improved quality and reliability.
• Enhance the stability and efficiency of regression suites, reducing execution time and minimizing flaky tests.
• Continuously improve and evolve the automation framework, introducing reusable components and best practices for long-term scalability.
• Leverage strong SQL and data validation skills to ensure data accuracy and support faster root cause analysis.
• Bring in performance testing practices using tools like JMeter/LoadRunner to identify bottlenecks and improve system performance under load.
• Contribute to API and end-to-end testing coverage, ensuring robust validation across UI, backend, and integrations.
• Analyze, debug, and troubleshoot automation scripts to improve reliability and reduce maintenance overhead.
• Collaborate closely with engineering and product teams to shift quality left and embed testing early in the development lifecycle.
• Mentor and guide team members, fostering a quality-driven culture and improving overall team capability.
• Drive continuous improvement by adopting new tools, technologies, and innovative approaches aligned with AI-driven and modern testing practices.

What lands you in this role

• Minimum 8-11 years’ hands-on experience in automation testing.
• Experience of working in Python.
• Solid SQL skills - Should be able to write complex queries with ease.
• Experience of working on any testing frameworks such as Playwright, Selenium, Cypress.
• Experience of working on any Performance testing tools like JMeter, Load Runner etc.
• Good to have knowledge on API testing with tools like Postman, Insomnia etc.
• Experience of working in a well-designed CI/CD environment is mandatory.
• Experience in automating test scenarios and integrating them into the CI/CD environment.
• Experience in automating complex web based applications.
• Ability to analyze and troubleshoot scripts.
• Should possess a high ownership mindset.
• Should have strong aptitude, can think independently and possess problem solving skills.
• Ability to learn new technologies and quickly adapt to new situations.
• BE/BTech in computer science or equivalent technical education

What we offer

• An opportunity to develop some of the best enterprise SaaS products to be built out of India
• Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions
• A flat, collegial work environment, with a work hard, play hard attitude
• A platform for rapid growth if you are willing to try new things without fear of failure.
• Remuneration with best in class industry standards with generous health insurance cover.

Some of our accolades include:

• Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
• Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
• Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
• Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

We are seeking a Senior IAM Support Engineer to manage day-to-day IAM operations, provide L2/L3 support, and ensure the stability and security of identity platforms. The role focuses on troubleshooting authentication issues, supporting integrations, and maintaining access management services across enterprise applications. Core Skills & Experience Authentication & Authorization Support

• Strong working knowledge of OAuth 2.0, OpenID Connect (OIDC), and SAML

• Experience supporting Auth0 or similar IAM platforms in production environments Troubleshooting & Incident Management

• Proven ability to diagnose and resolve authentication and authorization issues

• Experience analyzing logs, SAML assertions, OAuth tokens, and API failures

• Familiarity with ticketing systems and SLA-driven support environments IAM / CIAM Operations

• Hands-on experience managing IAM/CIAM platforms

• Support for user lifecycle management (provisioning, deprovisioning, access changes)

• Understanding of RBAC and ABAC implementation and support Cloud IAM Support

• Experience supporting IAM services in AWS, Azure, or GCP

• Ability to troubleshoot identity-related issues in cloud environments API & Integration Support

• Experience supporting IAM integrations with REST APIs

• Understanding of tokens, JSON, and API authentication flows Basic Development Knowledge

• Working knowledge of Java or .NET (for troubleshooting integrations)

• Ability to review logs and debug IAM-related application issues Security & Compliance

• Awareness of IAM security best practices

• Understanding of access governance and compliance requirements Key Responsibilities

• Provide L2/L3 support for IAM platforms, ensuring high availability and performance • Troubleshoot authentication, authorization, and SSO issues across applications

• Support integrations with Auth0, Azure AD, AWS Cognito, and enterprise applications

• Manage user lifecycle activities, including provisioning and access updates

• Monitor IAM systems, respond to incidents, and meet SLA targets

• Work with application teams to resolve IAM-related issues

• Perform root cause analysis and implement preventive fixes

• Maintain documentation and runbooks for support processes

• Assist in audits, compliance checks, and access reviews Good-to-Have Skills

• Experience with federation tools (ADFS, Ping Identity, ForgeRock)

• Exposure to Privileged Access Management (PAM) support

• Familiarity with Zero Trust concepts

• Experience with DevSecOps or production support models. Preferred Qualifications

• Bachelor’s degree in computer science, Cybersecurity, or related field Certifications (Preferred): • Auth0 Developer

• Microsoft Identity & Access Administrator

• AWS Security Specialist Key Attributes

• Strong problem-solving and diagnostic skills

• Ability to operate in a 24/7 or shift-based support model (if required)

• High sense of ownership and accountability

• Clear communication and coordination skills across teams

Key Responsibilities

• Configure MAWM modules, rules, and workflows based on operational requirements and guidance from US/global leads.
• Perform system parameter setup, functional rule configuration, and environment preparation for testing and go-live.
• Support host–WMS integrations (OMS, TMS, WCS, MHE systems, carrier APIs) by reviewing mapping, running test transactions, and validating results.
• Assist in data setup (item, location, client, inventory profiles) to support functional testing and production readiness.
• Troubleshoot functional/system issues, working with the US team and vendor support as needed.
• Maintain configuration documentation and change logs for reference and audit purposes.
• Participate in deployment activities, including configuration migration and post-go-live support.
• Attend regular coordination calls with the US team to review tasks, priorities, and progress.

Experience & Qualifications

• 5+ years of hands-on experience in Manhattan Active WMS (MAWM) configuration and functional setup.
• Strong understanding of WMS operations in retail, e-commerce, and 3PL environments.
• Experience with Manhattan Active API ecosystem and basic ProActive extensibility features.
• Knowledge of WMS host integrations (OMS, TMS, WCS, automation systems) and EDI/integration methods.
• Familiarity with warehouse automation and MHE/WCS/WES integrations.
• Familiarity with Manhattan WMOS (Warehouse Management for Open Systems) is a plus.
• Understanding of multi-client/multi-tenant warehouse setup in MAWM added advantage.
• Ability to work in a distributed/global team environment with clear, consistent communication.

Why Join Our Client India

• Be part of a global technology team implementing cutting-edge warehouse-as-a-service solutions.
• Gain exposure to automation, AI-driven optimization, and advanced supply chain systems.
• Opportunity to enhance your MAWM skills by working on real client implementations.

Collaborative, flexible work culture with growth potential

Experience – Minimum 2 to 3 years of experience in travel domestic & International holiday package sales.

Business Analyst – Job Description

1. Requirement gathering, Development, Requirement Analysis and documentation, Requirement communication, Requirement management and Testing. Work closely with the Business teams in gathering requirements, and getting it implemented in the system.

2. Designing and developing functional test cases, impact analysis, system integration testing and regression testing. Conducting UAT and documentation of test cases.

3. Support and assists with end user training and coordinates the implementation of these services for the Business.

4. Based on Testing Feedback from Business Users, plan go live dates for the developments.

5. Work with various user and support teams to manage technical/operational issues.

6. Raise the bugs and CRs to tech team and track till closure.

7. Produce periodic and ad-hoc reports for all stakeholders including leadership to monitor and ensure that projects comply with the governance framework.

8. Work closely with the vendor in getting the development completed on time and ensure adherence to quality standards.

9. Ability to multitask and work in a high pressure environment.

10. Excellent analytical, communication, presentation & interpersonal skills.

11. Ability to resolve customer/business issues and run the application management activities.

12. Willingness to go the extra mile to resolve customer/technical issues."

Job Title: AI & Automation Engineer

Experience: 3–5 Years

Employment Type: Full-time

Location: On-site

About the Role

We are looking for a passionate and hands-on AI & Automation Engineer to build intelligent automation solutions that improve efficiency and drive business scalability. In this role, you will design and develop automated workflows, build web scrapers and data pipelines, integrate AI/LLM APIs, and create smart systems that eliminate repetitive manual processes.

This position is ideal for someone who enjoys solving real-world business problems using automation, scripting, machine learning, and artificial intelligence technologies.

Key Responsibilities

Design, develop, and maintain automation workflows using platforms such as n8n, Make (Integromat), Zapier, and custom scripts.

Build automation solutions using Python and Google Apps Script for Google Workspace applications, including Google Sheets, Docs, Forms, and Gmail.

Develop and maintain web scraping solutions and data extraction pipelines using tools such as BeautifulSoup, Scrapy, Playwright, or Puppeteer, while adhering to ethical and legal guidelines.

Apply AI and Machine Learning techniques for classification, prediction, data enrichment, document processing, and content generation.

Integrate LLM APIs such as OpenAI, Anthropic Claude, and other AI services into internal tools and automated workflows.

Develop integrations between SaaS platforms, CRMs, databases, spreadsheets, and third-party APIs.

Analyze existing business processes and design end-to-end automation solutions that improve operational efficiency.

Design, manage, and optimize SQL/NoSQL databases supporting automation workflows.

Monitor, troubleshoot, and maintain automation systems to ensure high reliability, scalability, and performance.

Implement proper logging, error handling, monitoring, and documentation for all automation solutions.

Collaborate with cross-functional teams to identify automation opportunities and deliver scalable AI-powered solutions.

Required Skills & Qualifications

Bachelor's degree in Computer Science, Information Technology, B.E., B.Tech, BCA, MCA, or equivalent practical experience.

3–5 years of experience in automation engineering, scripting, AI integration, or related technical roles.

Strong proficiency in Python and/or Google Apps Script.

Hands-on experience with automation platforms such as n8n, Make (Integromat), Zapier, or similar tools.

Experience developing web scrapers using BeautifulSoup, Scrapy, Playwright, Puppeteer, or equivalent frameworks.

Practical experience integrating AI/LLM APIs into business applications.

Good understanding of Machine Learning fundamentals and AI-powered automation.

Strong knowledge of REST APIs, JSON, Webhooks, Authentication, and API integrations.

Experience working with SQL and NoSQL databases.

Strong analytical, debugging, and problem-solving abilities.

Ability to design scalable automation systems from scratch with minimal supervision.

Preferred Skills

Experience with Scikit-learn, TensorFlow, or PyTorch.

Knowledge of Vector Databases, Retrieval-Augmented Generation (RAG), and AI Agents.

Experience with Prompt Engineering and Agentic AI Workflows.

Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.

Experience with Docker, serverless architectures, and cloud-based deployments.

Basic front-end development skills (HTML, CSS, JavaScript) for building internal dashboards and tools.

What We're Looking For

Strong passion for automation and AI technologies.

A builder mindset with the ability to transform manual processes into intelligent automated systems.

Excellent problem-solving and logical thinking skills.

Self-motivated, detail-oriented, and eager to learn emerging AI technologies.

Strong communication and collaboration skills.

Ability to work independently while contributing effectively within a team.

Why Join Us?

Work on cutting-edge AI and automation projects.

Build intelligent systems that have a direct business impact.

Opportunity to experiment with the latest AI technologies and LLMs.

Collaborative environment with continuous learning and growth opportunities.

Exposure to modern automation platforms, cloud technologies, and scalable AI solutions.

Lead SDET/QA Test Automation Engineer – AI Platforms (Agentic AI)

📍 Hyderabad, India | Full-Time | On-site / Hybrid

📈 Experience: 6–10 Years

The Role

We're looking for a hands-on Lead SDET to define and scale quality engineering across our healthcare AI platform.

This is an 80% IC and 20% leadership role, focused on building next-generation testing infrastructure, establishing quality standards, and mentoring engineers.

What You'll Do

Quality Architecture

• Define company-wide quality strategy.
• Architect automation frameworks from the ground up.
• Establish testing standards and engineering practices.

AI Systems Testing

Own validation strategies for:

• LLM Applications
• Voice AI Platforms
• Conversational AI
• Agentic Systems
• Multimodal AI

Build frameworks for:

• Hallucination testing
• Safety testing
• Regression detection
• AI performance measurement

Automation Engineering

Drive testing across:

• APIs
• Databases
• Web Applications
• Mobile Applications
• Distributed Systems
• Performance Engineering

Leadership

• Mentor and guide engineers.
• Drive engineering excellence.
• Influence release and architecture decisions.

What We're Looking For

• 6–10 years in SDET or QA Automation.
• Strong product engineering background.
• Expert-level coding in Python and Java.
• Deep expertise in:
• Selenium
• Playwright
• Appium
• PyTest
• TestNG
• REST Assured
• Strong understanding of:
• Distributed Systems
• System Design
• CI/CD
• SDLC
• STLC
• Experience building automation frameworks from scratch.
• Strong mentoring and technical leadership skills.

Why Join Us?

• Own quality engineering for category-defining AI products.
• Influence engineering strategy and architecture.
• Work on cutting-edge healthcare AI systems.

The client is a leading MNC. If you're interested, please share your updated CV along with the following details at https://docs.google.com/forms/d/e/1FAIpQLSfGL3es3eEi2uNKhxLm5TimMR_RuHL2OYGIKpcF8PWu5btV-A/viewform?usp=publish-editor

• Full Name
• Total Experience
• Relevant Experience
• Current CTC
• Expected CTC
• Notice Period
• Current Location

We will review your profile and get in touch if it matches the client's requirements.

Job Title : Agentic AI Architect

Experience : 5+ Years

Location : Hyderabad (Work From Office)

Employment Type : Contract to Hire

Job Summary :

We are seeking an experienced Agentic AI Architect to design, develop, and deploy enterprise-grade AI solutions.

The ideal candidate should have hands-on expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and modern AI frameworks, with a strong focus on building scalable and production-ready AI applications.

Mandatory Skills :

Generative AI, Agentic AI, Python, LLMs, RAG, Prompt Engineering, LangChain, LlamaIndex, OpenAI, Hugging Face, AWS/Azure/GCP, MLOps/LLMOps, APIs, Microservices.

Key Responsibilities :

• Design and architect scalable enterprise AI solutions using Agentic AI and Generative AI technologies.
• Develop AI applications leveraging Python, LLMs, Retrieval-Augmented Generation (RAG), and Prompt Engineering.
• Build and orchestrate AI agents using frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or similar.
• Integrate AI models with enterprise applications using APIs and microservices.
• Deploy, monitor, and optimize AI applications using MLOps/LLMOps best practices.
• Collaborate with cross-functional teams to deliver secure, scalable, and high-performance AI solutions on cloud platforms.

Required Skills :

• 5+ years of experience in AI/ML, software engineering, or enterprise AI solution development.
• Strong hands-on experience with Generative AI, Agentic AI, and Large Language Models (LLMs).
• Proficiency in Python for developing AI-powered applications and intelligent agents.
• Experience implementing Retrieval-Augmented Generation (RAG) pipelines and Prompt Engineering techniques.
• Hands-on expertise with AI frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or equivalent.
• Experience designing and integrating REST APIs and microservices-based architectures.
• Good knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Experience with MLOps/LLMOps tools for model deployment, monitoring, and lifecycle management.
• Strong understanding of scalable, secure, and production-ready AI solution architecture.
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills :

• Experience with vector databases and AI orchestration frameworks.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of cloud-native architecture and distributed systems.
• Experience working on enterprise AI transformation projects.

Location: Hyderabad (Hybrid)

At KnackLabs, the AI innovation arm of CAW Studios, we help enterprises transform their businesses through AI Agents, Voice AI, Enterprise Automation, and AI-native products.

Our team builds production-grade AI systems that solve real-world business problems using Large Language Models (LLMs), Agentic AI, and modern engineering practices.

If you're passionate about quality and excited to work on the next generation of AI-powered applications, we'd love to hear from you.

Key Responsibilities

● Understand business requirements and create effective test scenarios and test cases.

● Perform Functional, Regression, Integration, Smoke, Sanity, Exploratory, and UI testing.

● Execute end-to-end testing for web applications, APIs, and AI-powered features.

● Validate AI-based applications such as chatbots and LLM-powered workflows for expected behavior, accuracy, and usability.

● Perform API testing using Postman or Swagger.

● Identify, report, track, and verify defects using Jira or similar tools.

● Validate application data using basic SQL queries.

● Collaborate with developers, product managers, and AI engineers in Agile teams.

● Maintain test cases, test execution reports, and QA documentation.

● Participate in sprint planning, release validation, and QA reviews. Required Technical Skills

● Good understanding of SDLC, STLC, and software testing fundamentals.

● Knowledge of Functional, Regression, Integration, Smoke, Sanity, and Exploratory Testing.

● Hands-on experience with Postman for API testing.

● Familiarity with Jira or similar bug tracking tools.

● Basic knowledge of SQL, REST APIs, JSON, and HTTP methods.

● Understanding of Agile/Scrum methodologies.

● Exposure to Selenium, Cypress, or Playwright is an added advantage.

Basic AI Knowledge (Preferred)

● Basic understanding of Artificial Intelligence, Machine Learning, and Large Language Models (LLMs).

● Familiarity with AI tools such as ChatGPT, Gemini, Claude, or similar. ● Basic understanding of prompt-based applications and AI chatbots.

● Awareness of testing AI-generated responses for accuracy, consistency, and edge cases.

● Curiosity to learn and work on AI and Agentic AI applications. Qualifications & Skills

● Bachelor's degree in Computer Science, Information Technology, or a related field.

● 0–2 years of experience in Manual Testing (internships, academic projects, or full-time experience).

● Strong analytical and problem-solving skills.

● Excellent attention to detail and documentation.

● Good verbal and written communication skills.

● Self-driven, collaborative, and eager to learn emerging technologies.

Good to Have Manual Testing

• API Testing • Postman • Jira • SQL • REST APIs • JSON • Agile • Selenium/Cypress (Basic) • AI & LLM Basics • ChatGPT/Gemini • Prompt Validation

Senior Python Developer to lead the development of scalable, high-performance backend systems and data-driven applications. You will work on building robust services, APIs, and data workflows that power real-time and batch applications.This role is ideal for a seasoned developer who thrives on solving complex problems, building reliable software, and working across data and engineering teams. Youll play a key role in designing and developing Python-based systems that interface with big data frameworks, cloud platforms, and analytics tools.Key Responsibilities

• Design and develop robust Python-based backend services and microservices.
• Build RESTful APIs and integrations with third-party systems and internal tools.
• Work with data workflows involving ingestion, transformation, and validation.
• Develop and maintain ETL/ELT pipelines using Python, SQL, and Airflow.
• Collaborate with DevOps teams to deploy, monitor, and scale applications in cloud environments (AWS, Azure, GCP).
• Optimize code for performance, scalability, and maintainability.
• Write unit and integration tests, participate in code reviews, and follow CI/CD best practices.
• Work with cloud storage, databases, and data lake technologies like S3, Parquet, and DuckDB.
• Collaborate with data scientists, analysts, and engineers to enable data access and modeling.

Required Skills & Qualifications

• 5+ years of experience in backend software development, primarily in Python.
• Strong understanding of OOP, modular design, and Python design patterns.
• Experience with web frameworks (e.g., Flask, FastAPI, Django).
• Hands-on experience with data processing tools like Pandas, SQLAlchemy, PyArrow.
• Proficiency with SQL and database technologies (PostgreSQL, DuckDB, etc.).
• Experience with Airflow for workflow orchestration.
• Knowledge of building scalable, distributed applications and microservices.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Solid understanding of version control (Git), testing frameworks (PyTest), and CI/CD pipelines.
• Excellent problem-solving, debugging, and communication skills.

Preferred Skills (Nice to Have)

• Experience with data processing frameworks like Apache Spark or Vaex.
• Familiarity with data storage formats and tools like Parquet, Iceberg.
• Exposure to data streaming platforms (Kafka, Kinesis, Flink).
• Experience integrating backend systems with AI/ML pipelines or BI platforms.
• Understanding of security standards and compliance (GDPR, HIPAA, SOC2).
• Background in metadata-driven or event-driven architectures.

Job Title: WordPress & Backend Developer 

Company: Web Digital Mantra IT Services Pvt. Ltd. 

Location: Kumaraswamy Layout, Bengaluru 

Employment Type: Full-Time 

Experience: 1+ Year 

Salary: ₹1.2 LPA – ₹1.8 LPA 

About the Company 

Web Digital Mantra IT Services Pvt. Ltd. is a growing IT company specializing in Website Development, Mobile App Development, ERP, CRM, Billing Software, Digital Marketing, SEO, Google Ads, Meta Ads, and Branding Solutions. We are looking for a skilled and passionate WordPress & Backend Developer to join our growing team. 

Job Summary 

We are seeking a WordPress & Backend Developer with a minimum of 1 year of professional experience. The ideal candidate should have strong expertise in WordPress development along with solid backend programming knowledge. The candidate will be responsible for developing, maintaining, and optimizing websites and web applications while ensuring high performance, security, and scalability. 

Key Responsibilities 

● Develop, customize, and maintain WordPress websites. 

● Build custom WordPress themes and plugins based on project requirements. 

● Develop and maintain backend functionality using PHP and related technologies. 

● Integrate third-party APIs and REST APIs. 

● Optimize website speed, performance, and security. 

● Troubleshoot and resolve website and server-related issues. 

● Manage website deployment, hosting, backups, and maintenance. 

● Collaborate with UI/UX designers, digital marketers, and developers to deliver quality projects. 

● Write clean, maintainable, and well-documented code. 

● Ensure websites are responsive and compatible across devices and browsers. 

Required Skills 

● Minimum 1 year of experience in WordPress development. 

● Strong knowledge of WordPress CMS. 

● Experience in custom theme development and plugin customization. 

● Proficiency in PHP and backend development. 

● Good understanding of MySQL. 

● Knowledge of HTML5, CSS3, JavaScript, jQuery, and Bootstrap. 

● Experience with REST API integration. 

● Familiarity with Git or other version control systems. 

● Understanding of website security and performance optimization. 

● Strong analytical and problem-solving skills. 

Preferred Skills 

● Experience with Laravel or other PHP frameworks. 

● Knowledge of WooCommerce customization. 

● Experience with Elementor or similar page builders. 

● Basic understanding of SEO best practices. 

● Familiarity with cPanel, hosting, and server management. 

● Candidates proficient in Kannada will be preferred. 

Qualifications 

● Bachelor's degree in Computer Science, Information Technology, or a related field. 

● Minimum 1 year of relevant experience in WordPress and Backend Development. 

Why Join Us? 

● Opportunity to work on diverse web development projects. 

● Collaborative and growth-oriented work environment. 

● Hands-on experience with modern web technologies. 

● Career advancement opportunities based on performance. 

Job Location: Kumaraswamy Layout, Bengaluru 

Experience: 1+ Year 

Salary: ₹1.2 LPA – ₹1.8 LPA 

Preferred: Candidates with Kannada language proficiency.

About ZYSYGY

ZYSYGY is building Germany's zero-fee payment network. Merchants pay zero transaction fees. We route payments directly over SEPA Instant, bypassing Visa, Mastercard, and the entire card network chain. No hardware. No card reader. Just a phone.

We are building the first company to combine a fully software-based merchant POS with a consumer super-app for everyday financial life: payments, transport, utilities, government services, all in one place. Think what UPI did for India. We are doing it for Germany, from the ground up, on banking rails.

Role Overview

You will join the core engineering team as a founding engineer. You will own the backend payment engine end to end: transaction flows, wallet management, SEPA Instant settlement, KYB/KYC integration, recurring mandates, refund logic, and the compliance export layer (DATEV, Kassenbuch, GoBD, fiskaltrust). On mobile, you will contribute to the React Native consumer and merchant apps alongside our mobile engineer.

You will own what you build from development through deployment, monitoring, and production reliability. The architecture decisions you make in the first six months will run in production for years.

What you will do

Design and build the backend payment engine: transaction flows, wallet management, SEPA Instant settlement, offline payment authorization, and recurring mandate billing.

Own KYB/KYC integration and the compliance export layer: DATEV, Kassenbuch, GoBD, and fiskaltrust for KassenSichV.

Build REST APIs for financial-grade reliability and high-throughput transaction processing, including full R-transaction handling and reconciliation pipelines.

Contribute to the React Native consumer and merchant mobile apps alongside our mobile engineer.

Own the full lifecycle of what you build, from development through deployment, monitoring, and continuous improvement.

Integrate AI tooling into your development workflow as a matter of course: code generation, automated testing, and intelligent review.

Who you are

Meaningful hands-on experience building payment systems, fintech infrastructure, or financial APIs.

You have designed a ledger. You understand double-entry bookkeeping, immutable transaction records, and why you never update a financial row.

You have solved the partial failure. Money left one wallet and did not arrive in the other. You know how to detect it, resolve it, and make sure it does not happen again.

You understand idempotency at a design level. You have built systems that survive client retries, duplicate webhooks, and network drops without double-charging anyone.

You have built or reasoned about reconciliation: detecting discrepancies between your internal ledger and an external settlement file, and resolving them reliably at scale.

You understand KYC and KYB state machines, what happens when verification status changes mid-transaction, and what a regulator expects from your audit trail.

You are comfortable with SQL databases and own the full lifecycle of your code from development through deployment.

You can communicate technical decisions clearly to non-technical stakeholders. At this stage of the company, that matters.

You are a continuous learner. Payments infrastructure is a deep domain and you treat it that way.

You are comfortable with ambiguity and early-stage risk. There is no playbook yet. You will help write it.

Strong academic background preferred. Demonstrated engineering ability matters more than institution.

Relocation

Relocation to Munich, Germany, is on the table for the right candidate, including visa support.

Connect with the Founder

You can also connect with me on LinkedIn at www.linkedin.com/in/shabbir-maimoon

Job Title : Alteryx Developer

Experience : 5+ Years (Senior profiles with 8 to 12+ years preferred)

Location : Remote

Employment Type : Contract

Job Summary :

We are looking for an experienced Alteryx Developer to design, develop, and optimize enterprise ETL workflows, data transformation processes, and workflow automation solutions. The ideal candidate should have strong expertise in Alteryx Designer, Alteryx Server, SQL, ETL development, and enterprise data integration.

Mandatory Skills :

Alteryx Designer, Alteryx Server, ETL Development, Workflow Automation, SQL, Data Transformation, Data Migration, SQL Server/Oracle/MySQL/PostgreSQL, API Integration, Azure/AWS, Git.

Key Responsibilities :

• Design and develop scalable Alteryx workflows and ETL pipelines.
• Build reusable macros, analytic apps, and automated workflows.
• Perform data extraction, transformation, validation, and migration.
• Integrate data from databases, APIs, cloud platforms, and flat files.
• Manage Alteryx Server, workflow scheduling, deployment, and production support.
• Optimize workflow performance and ensure data quality.
• Collaborate with business and analytics teams to deliver data solutions.

Required Skills :

• Hands-on experience with Alteryx Designer and Alteryx Server.
• Strong expertise in ETL development, workflow automation, and data transformation.
• Proficiency in SQL with experience working on large datasets.
• Experience with SQL Server, Oracle, MySQL, or PostgreSQL.
• Knowledge of data migration, data validation, and data cleansing.
• Experience integrating data through APIs, cloud platforms, and flat files.
• Hands-on experience with Git and version control.
• Exposure to Azure or AWS cloud platforms.
• Strong analytical, troubleshooting, and performance optimization skills.

Good to Have :

• Python or Java
• Power BI, Tableau, or Spotfire
• Data Warehousing & Data Modeling
• CI/CD, Agile/Scrum
• Alteryx Designer Core Certification

Job Overview

We are looking for an experienced QA Professional with 5–10 years of experience specializing in Pega Testing. In this role, you will design, execute, and manage testing strategies for complex, large-scale enterprise applications built on the Pegaplatform. You will ensure the seamless performance, integration, and functionality of workflows and case management systems.

Key Responsibilities

• Strategy & Planning: Define, design, and implement comprehensive test strategies, test plans, and test cases specifically tailored for Pega BPM applications.

• Functional & Rule Validation: Validate Pega rulesets, case management flows, data pages, routing logic, declarative expressions, and access groups.

• Automation Leadership: Design and maintain automated test frameworks for PegaUI and API layers using tools like Selenium, Cucumber, Tosca, or Pega Autotest.

• Defect & Defect Triaging: Track, analyze, and report defects using Jira, collaborating closely with Pega developers and Business Analysts to resolve complex issues.

• Regression & Integration Testing: Execute rigorous regression testing for Pegaplatform upgrades and test end-to-end integration with third-party APIs and databases.

• Mentorship & Quality Control: Lead a team of QA engineers, conduct test case reviews, and enforce industry-standard QA best practices.

Required Skills & Qualifications

• Pega Expertise: 4+ years of dedicated hands-on experience in testing Pega PRPC applications (Pega 8.x experience preferred).

• Certifications: Pega Certified Business Architect (PCBA), Certified System Architect (CSA), or Certified Pega QA is highly desirable.

• Testing Automation: Proven experience using automation tools (Selenium WebDriver, Tosca, Cucumber, or SoapUI/Postman for API testing) within a Pegaecosystem.

• Technical Proficiency: Strong understanding of SQL, XML, JSON, and Agile/Scrum methodologies.

• Analytical Skills: Exceptional ability to translate complex business requirements and user stories into structured test scenarios.

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.

Job Title : Software Development Engineer in Test (SDET)

Experience : 2 to 5 Years

Location : Bangalore

Working Days : 5 Days/Week

Notice Period : Immediate to 15 Days

Interview Process : 1 Internal Round + 2 Client Rounds

Job Summary :

We are looking for a skilled Software Development Engineer in Test (SDET) with strong expertise in Java-based automation testing. The ideal candidate should have hands-on experience in automation frameworks, API testing, debugging, SQL, and cloud technologies while ensuring the delivery of high-quality software applications.

Mandatory Skills :

Java, Selenium, Appium, API Testing, SQL, AWS, Debugging, Cache Memory Concepts (Python is a Plus).

Key Responsibilities :

• Design, develop, and maintain automated test scripts using Java and Selenium/Appium.
• Perform API testing and validate backend services.
• Write and execute SQL queries for data validation and testing.
• Debug application issues and collaborate with development teams to resolve defects.
• Work with AWS environments for testing and deployment validation.
• Validate application performance involving cache memory mechanisms.
• Contribute to improving test automation frameworks and CI/CD processes.

Required Skills :

• Strong proficiency in Java (Mandatory).
• Hands-on experience with Selenium and Appium.
• Strong knowledge of API Testing.
• Good understanding of SQL.
• Experience with AWS.
• Excellent debugging and troubleshooting skills.
• Understanding of cache memory/caching concepts.
• Python knowledge is an added advantage.

Key Responsibilities

• Lead and mentor a team of mobile QA engineers across multiple projects.
• Define test strategy, test plans, and test cases for Android and iOS applications.
• Develop and maintain mobile automation frameworks using Appium and Java.
• Execute manual and automated testing for native, hybrid, and mobile web applications.
• Perform functional, regression, integration, API, and end-to-end testing.
• Collaborate with developers, product owners, business analysts, and stakeholders to ensure quality throughout the SDLC.
• Analyze defects, perform root cause analysis, and work closely with development teams for timely resolution.
• Review test artifacts, monitor test execution, and ensure quality standards are met before releases.
• Drive automation adoption and continuously improve QA processes and best practices.
• Participate in sprint planning, backlog grooming, daily stand-ups, and release planning.
• Prepare test reports, quality metrics, and provide regular project status updates to stakeholders.

Required Skills

• 5-10 years of experience in Software Testing with strong expertise in Mobile Testing.
• Hands-on experience in Appium, Java, and mobile automation frameworks.
• Strong experience in testing Android and iOS applications.
• Experience in API Testing using Postman or REST Assured.
• Knowledge of Selenium, TestNG, SQL, Git, Jenkins, and Jira.
• Experience with cloud device platforms such as BrowserStack or Sauce Labs.
• Good understanding of Agile/Scrum methodologies and CI/CD pipelines.
• Strong analytical, troubleshooting, communication, and leadership skills.

Good to Have

• Experience with Cucumber (BDD).
• Knowledge of Espresso and XCUITest.
• Performance testing using JMeter.
• Experience with Flutter or React Native application testing.
• Exposure to mobile security and accessibility testing.

🚀 Hiring | Senior Software Developer – MEAN Stack (Contract)

📍 Location: Indore

💼 Experience: 5–10 Years

Required Skills:

✔️ MongoDB

✔️ Express.js

✔️ Angular (Latest Versions)

✔️ Node.js

✔️ REST APIs & Microservices

✔️ JavaScript / TypeScript

✔️ Git & Agile Development

🕒 Shift: 11:30 AM – 8:30 PM IST

If you're available or have experienced consultants on your bench, let's connect.

📩 DM me or share relevant profiles.

#Hiring #MEANStack #Angular #NodeJS #MongoDB #TypeScript #ContractJobs #Indore #ITHiring

Senior Software Developer (AI integration)

Role Overview

We are looking for a Senior Full-Stack Engineer to drive the development, integration, and scaling of our eCommerce applications. This is a hands-on coding role requiring deep expertise in full-stack ecosystems (Laravel + React), proven track record of integrating and deploying AI models/workflows. Strong eCommerce domain knowledge (Shopify and/or Magento 2) would be a plus.

As our product suite heavily prioritizes AI-driven features, you will be the core technical driver responsible for building smart workflows, setting up local LLMs, and bridging the gap between modern AI capabilities and robust web applications.

Work Location: Remote (Open to talent across India; office is based in Indore).

Required Technical Skills:

AI & LLM Integration (Mandatory)

• LLM Implementation: Hands-on experience setting up, fine-tuning, or self-hosting local LLMs (e.g., via Llama, Mistral, Ollama) and utilizing cloud AI APIs (OpenAI, Anthropic, etc.).
• AI Frameworks & Workflows: Experience building custom agentic workflows, prompt engineering pipelines, or using orchestration frameworks (LangChain, LlamaIndex, or JS/PHP equivalents)..
• Vector Databases: Familiarity with embeddings and vector search (e.g., Pinecone, Milvus, Chroma, or pgvector).

Core Full-Stack

• PHP (expert level)
• Laravel (architecture-level understanding: queues, jobs, service layer)
• React.js (SPA, state management, performance optimization)
• HTML, CSS, JavaScript (ES6+)
• GraphQL & REST API design
• Node.js (real-time systems like Socket.io)

Database & Systems

• MySQL/PostgreSQL (schema design, optimization)
• Caching: Redis
• Queue systems: RabbitMQ / similar

Architecture Knowledge

• Microservices & event-driven architecture
• API-first and headless systems
• Scalability & distributed systems

E-commerce Domain 

• Shopify: Deep understanding of Shopify APIs, App ecosystem, and headless commerce.
• Magento 2: Practical understanding of Magento's architecture, module system, and GraphQL (hands-on customization experience is highly valued).

Note: Preference will be given to candidates with experience in any of the two platforms, but we are open to consider candidates who do not have direct exposure to these platforms if they have exceptional track record with AI implementations.

Good to Have

• Experience with Python (often useful for AI/data manipulation scripts).
• Cloud Infrastructure (AWS / DigitalOcean, Cloudflare).
• Familiarity with CI/CD tools and containerization (Docker).

Roles & Responsibilities:

• Hands-on Development: Write clean, maintainable, and highly efficient code across the backend (Laravel) and frontend (React).
• AI Feature Engineering: Own the end-to-end implementation of AI capabilities—from setting up local LLM instances to writing the integration logic that connects AI flows to our eCommerce systems, with a strong focus on optimizing token streaming processing and reducing execution latency
• Feature Ownership: Take high-level product requirements and transform them into concrete technical solutions, ensuring scalable code architecture.
• System Performance: Optimize application speed and reliability, utilizing caching (Redis) and async processing to ensure seamless user experiences.
• Security & Infrastructure: Implement secure coding practices, manage API rate-limiting, and collaborate on Docker/CI/CD pipelines.
• Technical Mentorship: Review code, champion best practices, and help upskill mid-level developers on the team.
• Team Collaboration: Work closely with product, design, and engineering teams. Act as technical decision owner.

We are seeking a talented Senior Power BI Engineer to join our team and deliver high-quality business intelligence solutions for our clients.

Technical Skills:

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)
• Looking out for only immediate joiners

Responsibilities:

• Design, develop, and deploy interactive Power BI dashboards and reports for client projects
• Build and optimize data models using star schema and snowflake schema design patterns
• Develop complex DAX measures and calculated columns to support business requirements
• Connect to and integrate data from multiple sources including SQL databases, Excel, APIs, cloud platforms, and data warehouses
• Implement data transformation and cleansing using Power Query (M language)
• Collaborate with clients and stakeholders to gather requirements and translate business needs into technical specifications
• Optimize report performance through query optimization, aggregations, and efficient data modeling
• Configure and manage Power BI Service including workspaces, datasets, dataflows, and row-level security (RLS)
• Create and maintain documentation for data models, reports, and development processes
• Provide training and support to end-users on Power BI reports and dashboards
• Design and implement custom visualizations using Power BI custom visuals and third-party visual libraries.
• Implement conditional formatting, dynamic titles, and dynamic content based on user selections
• Stay current with Power BI updates, new features, and industry best practices

We are looking for an experienced SDE-3 Backend Engineer (Node.js) to lead the backend engineering pod responsible for third-party integrations, observability, and engineering support.

The role requires someone who is technically strong in Node.js, TypeScript, databases, and backend system design, and who can remain hands-on while guiding engineers and working closely with internal teams and external partners.

Key Responsibilities

• Own delivery, quality, and production stability for third-party
• integrations, observability, and engineering support.
• Own technical design, architecture decisions, code reviews, and delivery quality for services owned by the pod.
• Drive strong engineering practices across design reviews, code reviews, testing, documentation, release discipline, and operational readiness.
• Design, build, and maintain scalable backend services and APIs using Node.js and TypeScript.
• Own integrations with banks, payment partners, fintech partners, and other external systems.
• Ensure partner integrations are reliable, secure, well-documented, and easy to support.
• Build monitoring, alerting, dashboards, and visibility across critical services and partner workflows.
• Create and maintain runbooks, SOPs, dashboards, and troubleshooting guides for critical services and partner workflows.
• Drive timely resolution of production issues, partner issues, and internal escalations.
• Perform RCA for incidents and ensure long-term fixes are implemented.
• Mentor junior engineers and improve engineering practices within the pod.

• Strong hands-on experience in Node.js and TypeScript backend development.
• Strong database skills, including schema design, query optimization, indexing, transactions, and performance tuning.
• Strong understanding of building scalable, performant, resilient, and fault-tolerant backend systems.
• Experience with third-party integrations, webhooks, callbacks, retries, timeouts, and error handling.
• Strong debugging and production issue resolution skills.
• Experience with logging, monitoring, alerting, dashboards, and observability tools is preferred.
• Good understanding of secure API design, authentication, authorization, and data protection.
• Exposure to AWS, Docker, Kubernetes, CI/CD, Grafana, Prometheus, ELK, or similar tools.
• Ability to guide and mentor engineers while remaining hands-on.
• Ability to drive delivery, manage technical execution, and ensure quality within the pod.
• Strong communication skills for working with internal teams and external stakeholders.

Job Description: 

Join us at Springer Capital, a corporate inclusion training company dedicated to promoting diversity and equity within the workplace.  

Our mission is to transform organizational cultures and achieve justice by creating environments where every individual is valued and feels a sense of belonging. Through providing training for workplace inclusion, understanding microaggressions, mitigating bias, and cultural literacy, Springer Capital seeks to eliminate bias and establish a just, fair working environment.  

As a Data Automation Intern, you will be focusing on researching and developing tools and workflow that automate some parts and processes of our business automation. Since business automation is important throughout the firm, you will have the opportunity to collaborate with various teams across Springer Capital. 

Key Responsibilities:  

• Collect data from various sources, including databases, APIs, and web scraping tools.    
• Clean and process raw data to ensure it is accurate and consistent.     
• Analyze data to extract insights using computational tools, such as Excel, SQL, and Python.   
• Communicate insights in a clear and concise manner with the manager alongside your progress.    
• Implement solutions based on insights you discovered to improve Springer Capital business’ processes or solve problems for client. 

  Qualifications: 

• Passion for Inclusion: A strong commitment to fighting inequality and promoting inclusion in the workplace. 
• Educational Background: Currently enrolled in or recently graduated from a degree program related to social sciences, human resources, business, statistics.  
• Communication Skills: Excellent written and verbal communication skills. Ability to create clear and engaging content. 
• Organizational Skills: Detail-oriented and highly organized. Ability to manage multiple tasks and deadlines effectively. 
• Analytical and Business Software Skills: Proficiency in business software such as Excel, PowerPoint, and Word with a strong preference of knowledge and experience in data analytics  

 Compensation and Expectations: 

• This internship is remote and unpaid. Interns are expected to work 15-20 hours a week. 

About the Role

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Backend Engineer for a dedicated client engagement building an AI-powered application builder platform.

The backend is the operational core of the product: it manages user projects and sessions, coordinates long-running AI agent workloads, maintains project state, and serves as the integration layer between the frontend, the AI system, and the underlying infrastructure.

The mandatory requirement is hands-on production experience shipping Node.js services, with end-to-end ownership of API design, data modelling, and at least one production system involving background job processing or event-driven patterns.

Responsibilities

API and service development: Design and build REST APIs in Node.js with TypeScript. Cover authentication, session management, input validation, structured error handling, streaming responses (SSE, WebSockets), and rate limiting. Maintain clean API contracts that the frontend and AI system can rely on.

Database design and management: Own PostgreSQL schema design for product domains including user accounts, projects, file trees, session state, and generated artefacts. Write efficient queries, manage migrations, and optimise for read patterns that serve a real-time editor experience.

Caching strategy: Implement and maintain caching with Redis for session data, project state, and frequently read configuration. Design cache invalidation logic that keeps the editor experience consistent without stale reads.

Queue and background job management: Implement and operate background job infrastructure using BullMQ or equivalent. AI agent runs are long-running and stateful; handle retries, failure states, priority queues, and concurrency limits.

AI system integration: Build the integration layer between the backend and the AI agent system. Manage job dispatch, result handling, streaming output to the frontend, and error propagation.

Multi-tenancy and access control: Implement tenant data isolation, RBAC, and resource ownership enforcement across all API surfaces.

Observability and reliability: Instrument services with structured logging, metrics, and tracing. Write defensive code with sensible timeouts, fallback behaviour, and circuit breaking on external dependencies.

Testing and code quality: Write unit and integration tests for the services you ship. Review the work of peers and contribute to shared engineering conventions.

Requirements

• Hands-on production Node.js experience (mandatory) — must have personally shipped at least one feature area end to end in a production Node.js service, owning API design, data modelling, and testing.

• 3 to 5 years of professional backend engineering experience. Candidates with slightly less time but strong demonstrated ownership are welcome to apply.

• Strong Node.js and TypeScript. Production experience with Express, NestJS, or Fastify. Solid with async patterns, streaming, error handling, and building services that run reliably under sustained load.

• PostgreSQL depth. Schema design, query writing, indexing, and migrations on at least one production system.

• Redis and caching. Production experience using Redis for caching and session management. Understands cache invalidation trade-offs.

• Queue and background job systems. Hands-on with BullMQ, RabbitMQ, SQS, or equivalent. Experience managing retries, dead-letter queues, job priority, and concurrency control.

• AWS working knowledge. Comfortable with EC2, S3, RDS, SQS, and IAM. Familiar with Docker and basic deployment and environment management.

• Strong written and spoken English. Able to communicate clearly with engineers across disciplines and write precise technical documentation.

Nice to Have

Experience integrating with AI or LLM services (streaming responses, structured outputs, retry patterns); WebSocket or SSE implementation for real-time features; multi-tenant SaaS product experience; GraphQL; OpenTelemetry instrumentation; prior work on developer tools or editor-style products.

You will be working at the intersection of student mobility, higher education research

and product intelligence — building and enriching a data platform architecture that

helps students navigate college admissions, career choices, and an evolving

educational landscape. This goes beyond just educational data: you will research

emerging careers, new-age skills, and shifting industry demands, structuring them into

our product so students always have accurate, relevant guidance on time. You will

leverage AI tools daily — not just as a research aid, but as a collaborator in product

operations. Technical fluency and a fundamental understanding of data architecture

and ops are non-negotiable.  

Role Details

• Research, collate, clean, and deploy qualitative and quantitative data on colleges, courses, eligibilities, fees, and careers — and extend this to emerging professions, new-age skills, and evolving educational trends

• Develop and curate information on colleges, entrance exams, occupations, industries, and careers, for usage as advisory material by students, teachers, counsellors and parents

• Conduct secondary studies on career pathways in multiple industry sectors,including medicine, architecture, design, space technology, defense, finance,education, energy etc. This list is not exhaustive, it will be diverse.

• Find and present information about both traditional & unique ways of how an education cascade can finally translate into an entry in an industry sector or academia

• Ensure technical accuracy and thorough fact-checking of all published data; follow documentation protocols and deliver on time

• Structure data into schema-based frameworks — mapping career pathways,skill requirements, and industry trends into our product’s data architecture

• Use LLMs as active tools — for triangulation, data synthesis, prompt-driven code generation & output evaluation; flag inaccuracies and improve results iteratively

• Contribute to our in-house chatbot design that make our services sharper and more student-friendly

• Build and automate data pipelines through LLMs — handle large datasets through cleaning, transformation, and validation at scale

• Collaborate with other teams to identify data gaps and translate research findings into actionable inputs for feature development and user journeys

Who we're looking for ?

✅ Bachelor's or Postgraduate degree

✅ Proficiency in Google Cloud Suite (incl. Google Apps Script), Microsoft Suite (incl. Office automations scripts in Excel but Macros not required)

✅ Prior Experience with LLMs, AI tools, and API integrations in Data Operations

Role Summary

We are looking for a hands-on technology professional to build and maintain our in-house lending technology stack, including CRM, Loan Management System (LMS), Loan Origination System (LOS), reporting dashboards, and API-based integrations. The role will also involve identifying and implementing AI-led automation to streamline lending operations, reduce manual intervention, improve efficiency, and support business growth.

Key Responsibilities

• Design, develop, and maintain internal CRM software for lending operations.
• Build and manage LMS and LOS modules for end-to-end loan processing, servicing, and reporting.
• Develop automated workflows for lead capture, application processing, underwriting, disbursal, repayment tracking, collections, and customer communication.
• Integrate third-party APIs such as KYC, PAN, Aadhaar, bank statement analysis, bureau checks, e-sign, payment gateways, SMS, WhatsApp, email, and account verification systems.
• Create MIS, dashboards, and reports for management, operations, risk, and collections teams.
• Work closely with business teams to understand process gaps and convert them into scalable technology solutions.
• Ensure system reliability, data accuracy, user access control, audit trails, and information security.
• Implement AI/ML tools where relevant for automation such as document extraction, customer segmentation, fraud detection, risk triggers, collection prioritization, chatbots, and workflow intelligence.
• Maintain documentation, source control, change logs, and development standards.
• Coordinate with external vendors, developers, and internal stakeholders where required.
• Provide technical support, bug fixing, updates, and continuous system improvement.

Required Skills and Experience

• Strong experience in software development, product development, or fintech technology.
• Hands-on knowledge of CRM, LMS, LOS, and workflow automation.
• Experience with API integrations and system architecture.
• Strong understanding of databases, reporting systems, and process automation.
• Working knowledge of AI tools, automation frameworks, and data-driven systems.
• Ability to independently build, manage, and maintain business-critical software.
• Good problem-solving skills and comfort working in a fast-paced NBFC environment.

Technical Knowledge Preferred

• Backend: Node.js / Python / Java / .NET
• Frontend: React / Angular / Vue
• Database: MySQL / PostgreSQL / MongoDB
• Cloud/Hosting: AWS / Azure / GCP
• Tools: Git, CI/CD, REST APIs, webhooks, OCR/document automation, BI dashboards

Exposure to lending platforms, fintech systems, or NBFC

Key Skills:

Technical Skills

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)

Additional Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
• Strong analytical and problem-solving abilities
• Excellent communication skills to work with both technical and non-technical stakeholders
• Ability to manage multiple projects and prioritize tasks effectively
• Detail-oriented with commitment to delivering high-quality work
• Client-facing experience with ability to gather requirements and present solutions

Preferred Qualifications

• Microsoft Power BI certification (PL-300 or equivalent)
• Experience with Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database)
• Knowledge of other Microsoft BI tools (SSRS, SSAS, Excel Power Pivot)
• Familiarity with Python or R for advanced analytics integration
• Experience with Dataflows and incremental refresh strategies
• Understanding of API development for custom visuals or Power BI embedded solutions
• Experience working in Agile/Scrum development environments