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Roles & Responsibilities

1. Design, develop, and maintain automated test scripts using UiPath Studio (Testing Profile) for Workday and Coupa applications
2. Build and execute regression test suites covering Workday HCM core, Talent & Performance Management, Advanced Compensation, Payroll/Benefits, and Recruiting modules
3. Build and execute regression and functional test suites for Coupa modules including Procurement (P2P), Sourcing, Invoicing, and Supplier Management
4. Validate business-critical configurations and custom workflows before and after Workday's bi-annual releases (Release Assessment / Feature Impact Testing)
5. Use UiPath Test Manager for test case management, requirement traceability, and execution reporting
6. Configure and schedule test executions via UiPath Orchestrator, including unattended and scheduled test sets
7. Perform functional, integration, and regression testing across UI and API layers for both applications
8. Log, track, and manage defects to closure; collaborate with functional/HRIS, procurement, and development teams to reproduce and resolve issues
9. Integrate automated test suites into CI/CD pipelines where applicable
10. Maintain test data, environment readiness, and reusable object/component libraries

Ideal Candidate

1Strong Test Automation Engineer Profile with UiPath Test Suite expertise for Workday & Coupa

2Mandatory (Experience 1): Must have 3+ years of overall QA / test automation experience, with at least 2+ years hands-on on UiPath Test Suite (Studio – Testing Profile, Test Manager, Orchestrator)

3Mandatory (Experience 2): Must have hands-on experience designing, developing, and maintaining automated test scripts using UiPath Studio (Testing Profile) for enterprise SaaS/ERP applications.

4Mandatory (Experience 3): Must have experience building and maintaining automated regression suites for enterprise SaaS/ERP applications, covering functional, integration, and regression testing across UI and API layers.

5Mandatory (Experience 4): Must have experience using UiPath Test Manager (test case management, requirement traceability, execution reporting) and UiPath Orchestrator (configuring/scheduling test sets, unattended execution)

6Mandatory (Experience 5): Must have experience logging, tracking, and managing defects to closure, and maintaining test data, environment readiness, and reusable object/component libraries.

7Mandatory (Tech skill 1): Must have working knowledge of Workday functional areas — HCM core, Compensation (including Advanced Compensation), Talent & Performance — sufficient to design meaningful test scenarios

8Mandatory (Tech skill 2): Must have working knowledge of Coupa modules — Requisitioning / Procurement (P2P), Purchase Orders, Invoicing, Sourcing, or Supplier Management.

9Mandatory (Tech skill 3): Must have basic API testing skills (Postman / REST) and SQL for data validation.

10Mandatory (Communication): Must have good communication skills to work with cross-functional HRIS, procurement, and IT teams

11Mandatory (Note): Candidates able to join within 10–15 days will be eligible for a joining bonus of up to 20% of their monthly salary,

12Preferred: Experience validating configurations before/after Workday's bi-annual releases (Release Assessment / Feature Impact Testing); integrating automated test suites into CI/CD pipelines.

Job Description

This is a remote position.

Experience Level

This role is ideal for engineers with 4-9 years of hands-on software development experience, particularly in ReactJS, Node, and TypeScript.

Role Overview

If you're a Software Craftsperson who takes pride in clean, test-driven code and believes in Extreme Programming principles, we'd love to meet you. At Incubyte, we're a DevOps organization where developers own the entire release cycle, meaning you'll get hands-on experience across programming, cloud infrastructure, client communication, and everything in between. Ready to level up your craft and join a team that's as quality-obsessed as you are? Read on!

What You'll Do

• Write Tests First: Start by writing tests to ensure code quality
• Clean Code: Produce self-explanatory, clean code with predictable results
• Frequent Releases: Make frequent, small releases
• Pair Programming: Work in pairs for better results
• Peer Reviews: Conduct peer code reviews for continuous improvement
• Product Team: Collaborate in a product team to build and rapidly roll out new features and fixes
• Full Stack Ownership: Handle everything from the front end to the back end, including infrastructure and DevOps pipelines
• Never Stop Learning: Commit to continuous learning and improvement

Requirements

• 4+ years of experience in ReactJS, Node, TypeScript, LLMs and PostgreSQL
• Comfortable working with Claude or other AI-powered tools
• Prior experience with Chrome extensions is preferred
• Good to have - Next.js, HTML, CSS, DOM APIs
• Strong problem-solving attitude and a bias for action
• Experience with browser testing frameworks, ex. Puppeteer, Playwright, etc.
• Deep understanding of DOM manipulation, browser APIs and web standards
• Asynchronous programming (Promises, async/await)
• Strong debugging skills (Browser devtools/JavaScript)
• Knowledge of web security concepts and cross-origin restrictions
• Familiarity with Agile and eXtreme Programming methodologies in a continuous deployment environment
• Interest in mastering technologies like web frameworks, TDD, CI tools, and performance optimization
• Working knowledge of source control, writing user stories, and technical documentation

Key Responsibilities

• Develop and maintain FitNesse fixtures and supporting Java components for automated regression testing of Calypso Back Office modules.
• Design and implement automation solutions using Java and Calypso APIs to validate business workflows and application functionality.
• Build, enhance, and maintain reusable automated regression suites for critical Back Office business processes.
• Collaborate with developers, business analysts, and QA engineers to translate business requirements into automated test scenarios.
• Integrate new functionality into the existing automation framework while ensuring code quality, maintainability, and reusability.
• Analyse automation failures, perform root cause analysis, and work closely with development teams to resolve issues.
• Participate in code reviews and contribute to improving the automation framework and QE best practices.
• Ensure adequate regression coverage for new features, enhancements, and production fixes.
• Contribute to continuous improvement initiatives for test automation, framework design, and release quality.

Mandatory Skills

• Strong Java development experience.
• Hands-on experience with the Calypso Back Office module.
• Experience developing and maintaining Java-based automation framework components.
• Good understanding of Calypso APIs and integration mechanisms.
• Experience with Git or other source control systems.
• Exposure to CI/CD pipelines.
• Good analytical, debugging, and problem-solving skills.

Preferred Skills

• Experience working with FitNesse.
• Understanding of regression testing and Quality Engineering practices.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 3–6 years of experience in software engineering, test automation, or Quality Engineering.
• Strong verbal and written communication skills.
• Ability to work collaboratively in an Agile environment.

What We're Looking For

• Strong hands-on experience in Java development.
• Good understanding of Calypso tool and the ability to translate complex business scenarios into effective automated tests using fitNesse framework.
• A problem solver who enjoys analysing technical challenges and finding practical, scalable solutions.
• Self-motivated, collaborative, and comfortable taking ownership while working closely with developers, QA, and business stakeholders.

Location

Bengaluru, Karnataka, India

Experience

3 - 6 Years

Employee Type

Direct Contract

Job Title: Vice President – Technology (VP Tech)

Company: Timble Technologies Pvt. Ltd

Location: Arjan Garh, New Delhi (On-site)

Experience: 15+ Years

About Timble AI

Timble Glance is a high-growth AI-powered RegTech and enterprise B2B SaaS platform delivering mission-critical solutions to the BFSI sector. Our infrastructure powers 30+ enterprise-grade APIs handling digital identity management, real-time fraud mitigation, automated compliance, and document intelligence. We engineer high-concurrency, resilient systems designed for extreme throughput, sub-second latency, and bank-grade data security.

Role Overview

As the Vice President – Technology, you will be the chief technical strategist and engineering executive driving Timble AI’s technical vision, platform modernization, and AI innovation. You will own the end-to-end architectural roadmap, lead cross-functional engineering pods, and scale high-volume distributed systems that safeguard critical financial data. This role requires an executive who combines boardroom strategic gravitas with deep hands-on engineering credibility, capable of bridging rapid B2B SaaS product iteration with rigorous BFSI regulatory standards.

Key Responsibilities

·       Technology Vision & Architectural Strategy: Define and execute a multi-year engineering roadmap across core product suites (Identity Verification, Fraud Detection Engines, and Document Intelligence), balancing cutting-edge feature delivery with enterprise-grade stability.

·       Large-Scale Platform Engineering: Oversee the architecture and performance of 30+ high-scale APIs, ensuring 99.9% uptime, sub-second latency, fault-tolerant concurrency, and strict "efficiency by design" across multi-tenant cloud environments.

·       AI/ML & Intelligent Engineering: Drive the productionization of proprietary AI/ML and Generative AI pipelines—moving capabilities from experimental R&D into secure, low-latency, scalable BFSI workflows while advancing patent-pending intellectual property (IP).

·       Cloud Architecture & FinOps: Direct cloud economics and infrastructure investments across AWS and GCP, establishing containerization, microservice modularity, automated CI/CD pipelines, and robust disaster recovery frameworks.

·       Information Security & Regulatory Compliance: Enforce bank-grade security protocols, data privacy governance, and industry-mandated regulatory compliance (ISO 27001, SOC2, RBI/BFSI data localization guidelines) to protect sensitive enterprise data.

·       People & Engineering Culture Leadership: Attract, mentor, and scale a world-class engineering organization (from SDE-1 to Principal Architects and Engineering Managers); institute rigorous code reviews, automated testing benchmarks, and clear career ladders.

·       Executive & Stakeholder Alignment: Partner directly with the Founder, C-suite, and Product Leadership to translate complex technological initiatives into clear business outcomes, enterprise client trust, and scalable revenue growth.

Required Qualifications & Experience

·       Experience: 15+ years of progressive software engineering and technology leadership experience, with significant tenure leading engineering organizations in Fintech, RegTech, or high-scale B2B SaaS.

·       Education: B.Tech / M.Tech in Computer Science or related engineering field—Tier-1 institutes (IIT, IIIT, NIT) strongly preferred.

·       Core Technical Mastery: Deep hands-on expertise in no, distributed system design, microservices, asynchronous architectures, API gateways, and relational/NoSQL database engines (PostgreSQL, Redis, MongoDB).

·       Cloud & Infrastructure Rigor: Proven track record architecting enterprise systems on AWS/GCP, utilizing Docker, Kubernetes, Kafka/RabbitMQ, and modern APM/observability stacks.

·       AI Production Track Record: Demonstrated experience successfully deploying, monitoring, and scaling machine learning, computer vision, or NLP/LLM models in latency-critical production environments.

·       Governance & Delivery: Strong command of modern engineering methodologies (Agile, DevSecOps, TOGAF/ITIL principles) with a proven history of managing high-throughput, zero-downtime platforms.

Leadership Attributes

·       Technically Credible Executive: Capable of engaging in deep-dive architectural RFCs with engineering teams while articulating business impact and ROI to board members and enterprise BFSI clients.

·       Builder Mindset: Thrives in high-ownership, agile environments, successfully balancing rapid product velocity with uncompromised software quality and data integrity.

·       Force Multiplier: Focuses on institutionalizing robust engineering practices and developing leadership pipelines rather than relying on individual heroics.

·       https://timbleglance.com          

·       You can visit our website .

Role Overview

We are seeking a skilled Full Stack Developer with 4–6 years of hands-on experience in developing modern web applications using React.js and Node.js. The ideal candidate should be capable of independently developing application features, integrating backend services, and contributing to scalable, secure, and high-quality enterprise applications.

The candidate should also be comfortable using AI-assisted software development tools to improve development productivity, code quality, testing, and documentation while adhering to engineering best practices.

Key Responsibilities

·       Develop and maintain frontend applications using React.js.

·       Build backend services and RESTful APIs using Node.js and Express.js.

·       Design, write, and optimize SQL queries and database objects in PostgreSQL.

·       Implement asynchronous communication using RabbitMQ.

·       Create and manage database schema changes using Liquibase.

·       Zustand for state management

·       Implement secure handling of application secrets using OpenBao.

·       Develop reusable, maintainable, and well-documented code.

·       Debug, troubleshoot, and resolve application issues.

·       Write unit tests and support integration testing activities.

·       Collaborate with architects, senior developers, QA engineers, and product teams.

·       Participate in Agile ceremonies.

·       Support production deployments and issue resolution.

AI Development Expectations

·       Use AI-assisted coding tools such as GitHub Copilot, Cursor, Claude Code, or similar.

·       Use AI for code generation, refactoring, documentation, testing, and debugging.

·       Review and validate AI-generated code before deployment.

·       Follow responsible AI usage and secure software development practices.

Required Technical Skills

Frontend: React.js, JavaScript (ES6+), HTML5, CSS3, Responsive UI, Redux/Context API

Backend: Node.js, Express.js, REST APIs, JWT/OAuth

Database: PostgreSQL, SQL development, Database fundamentals

Messaging: RabbitMQ, Event-driven communication

Database Migration: Liquibase

Security: OpenBao, Secure coding, API security

Development Practices: Git, CI/CD, Docker basics, Unit Testing, Agile/Scrum, Clean Code

Preferred Qualifications

·       Experience working on enterprise web applications.

·       Exposure to microservices-based architectures.

·       Familiarity with Docker and Kubernetes.

·       Experience integrating third-party APIs.

·       Basic understanding of application monitoring and logging.

·       Exposure to cloud platforms.

Soft Skills

·       Analytical and problem-solving skills.

·       Strong communication and teamwork.

·       Ability to work independently.

·       Willingness to learn new technologies.

·       Ownership and accountability.

·       Adaptability in Agile environments.

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

What We're Looking For

We are looking for a motivated Full Stack Developer who can quickly become productive in an Agile team and contribute to the successful delivery of the Project while embracing AI-assisted development practices.

About Nexa Consultancy

Nexa Consultancy Inc is a Surrey, British Columbia (Canada) based company that helps other businesses set up everything they need to run and grow: dashboards, CRM, automation, reporting and marketing. We run our own operations on GoHighLevel, n8n and Make.com and build the same systems for our clients. Because this is ongoing work for our clients, we are looking for long-term people who will grow with us, not short-term contractors. We are hiring a full-time, remote Automation Developer in India to own this stack end to end.

What you will do

• Build, maintain and document automations in n8n and Make.com (lead intake, follow-up sequences, appointment booking, WhatsApp and email notifications, reporting).
• Own our GoHighLevel setup: pipelines, workflows, custom fields, calendars, forms, funnels and integrations.
• Connect tools through REST APIs and webhooks (GoHighLevel, Google Sheets, Gmail, WhatsApp, Meta lead forms, Cloudflare Workers, AI APIs).
• Write small scripts and serverless functions (JavaScript or Python) where a no-code step is not enough.
• Monitor scenarios, fix failures fast, and keep an eye on run quotas and costs.
• Build dashboards and reports so the team can see leads, follow-ups and conversions without asking.
• Turn a plain-English request from the Director into a working, tested automation.

What we are looking for

• 2 to 5 years of hands-on automation or integration work, with real n8n and Make.com scenarios you can show.
• Solid GoHighLevel experience (workflows, pipelines, snapshots, API). Other CRMs are a plus.
• Comfortable with REST APIs, webhooks, JSON, OAuth and debugging failed runs.
• Working JavaScript or Python for custom code steps; SQL or Google Sheets formulas are a plus.
• Clear written English. You will document what you build and explain it to non-technical teammates.
• Self-directed. This is a remote role with a small team; you will own outcomes, not just tickets.

Nice to have

• Cloudflare Workers, Zapier, Airtable, Notion, WhatsApp Business API, Meta or Google Ads integrations, OpenAI or Claude APIs.

Work setup

• Full-time, remote, from India.
• Long-term role. We want someone who stays, learns our clients' businesses and grows with the team.
• Must overlap with Canadian Pacific Time business hours for part of each day; exact schedule agreed at offer.
• Your own laptop, reliable high-speed internet and a smartphone are required.

Compensation

• INR 80,000 to 1,10,000 per month, based on experience.

How we hire

• Short screening call, then a practical exercise (build a small n8n or Make.com scenario), then a final interview with the Director.

Job Description

MyOperator is building AI-driven conversational surfaces — chatbots and voicebots that handle real business conversations, run structured journeys, pull from knowledge bases, and hand off to human agents when needed. We're looking for a Product Manager to own this domain: someone who genuinely understands how LLMs and RAG (Retrieval-Augmented Generation) systems work, and can turn that understanding into product decisions — what to build, which model tradeoffs to make, and how to know if a chatbot or voicebot is actually working.

This is a technical AI product role. You'll be defining journeys, knowledge base behavior, and evaluation criteria for systems where outputs are probabilistic, not deterministic — so the ability to reason about model behavior, failure modes, and retrieval quality matters as much as classic product skills.

About MyOperator

MyOperator is a Business AI Operator platform that allows businesses, teams, and AI Agents to work in tandem for customer operations, i.e., handle Sales, Support, Escalation, Feedback, and Refund processes. With over 12,000+ businesses using our platform, we are the largest in the space.

MyOperator is built for people who want to work on ambitious problems at a meaningful scale. We value ownership, speed, critical thinking, and a bias for building things that create real customer and business outcomes. This is a high-expectation, high-learning environment where people are trusted to think independently, challenge ideas openly, move with urgency, and keep raising the bar as we build for long-term impact.

Key Responsibility Areas

• Own the conversational AI product roadmap — chatbot and voicebot journeys, knowledge base/RAG behavior, and model selection — writing specs that account for real LLM behavior and failure modes, not just ideal-case flows.
• Define and maintain how success is measured — partner with engineering to build and evolve eval systems that track quality (accuracy, containment, hallucination rate) so every release has a clear bar to clear.

Requirements — Must Have

• Strong practical understanding of how LLMs work — prompting, context windows, tool/function calling, and their real-world limitations in production systems.
• Solid understanding of RAG (Retrieval-Augmented Generation) systems — how retrieval, embeddings, and knowledge bases feed into model responses, and where these systems typically break down.
• Working knowledge of the AI model landscape — tradeoffs between models on cost, latency, and accuracy — and how to translate that into build/model-selection decisions for a product.
• Demonstrated ability to write specs for AI-driven product surfaces (chatbot/voicebot journeys, escalation/handover logic) that explicitly account for probabilistic model behavior and edge cases.
• 4+ years as a Product Manager, with meaningful hands-on time owning an AI/LLM-powered product end to end.

Requirements — Good to Have

• Hands-on background building or shipping chatbots or voicebots — design, integrations, and deployment.
• Experience designing conversational journeys — structured, multi-step dialogue or task flows for chat or voice agents.
• Experience building or defining eval systems/frameworks to measure chatbot or voicebot success (e.g., accuracy, containment rate, hallucination rate).
• Familiarity with prompt engineering and iterating on prompts/journeys based on eval results.
• Experience designing human-handover or escalation flows between a bot and a live agent.

This profile is not for

• Candidates who treat "AI feature" as a checkbox without understanding how LLMs and RAG systems actually behave in production, including their failure modes.
• Candidates focused purely on traditional, deterministic software product work with no interest in model behavior, prompt design, or evaluation methodology.
• Candidates uncomfortable with ambiguity — AI product behavior is probabilistic, and specs need to account for that rather than assume fixed outcomes.

Job Description

MyOperator's Telephony platform powers call handling, IVR routing, number/DID provisioning, and outbound dialer campaigns for over 12,000 businesses. We're looking for a Product Manager to own this domain - someone with genuine technical depth in telephony and voice systems, who can translate how these systems actually work into a clear, well-sequenced roadmap and partner closely with engineering to ship it.

This is a technical, hands-on role suited to a PM who understands the mechanics of telephony infrastructure - call routing strategies, IVR state machines, DID lifecycle management, SIP/Asterisk-based call systems and can write specs that hold up against how these systems are actually built, not just how they appear on the surface.

About MyOperator

MyOperator is a Business AI Operator platform that allows businesses, teams, and AI Agents to work in tandem for customer operations, i.e., handle Sales, Support, Escalation, Feedback, and Refund processes. With over 12,000+ businesses using our platform, we are the largest in the space.

MyOperator is built for people who want to work on ambitious problems at a meaningful scale. We value ownership, speed, critical thinking, and a bias for building things that create real customer and business outcomes. This is a high-expectation, high-learning environment where people are trusted to think independently, challenge ideas openly, move with urgency, and keep raising the bar as we build for long-term impact.

Key Responsibility Areas

• Own the Telephony product roadmap end-to-end - call handling, IVR/routing, DID provisioning, and outbound dialer campaigns - writing specs grounded in real system architecture and partnering closely with engineering to ship them.
• Maintain delivery visibility and alignment across the roadmap, using tools like Jira to track progress, sequence dependencies, and keep priorities clear for engineering.

Requirements — Must Have

• Strong technical understanding of telephony and voice infrastructure - IVR call flows and state machines, call routing strategies (round robin, simultaneous, sequential), SIP/Asterisk-based call systems, and DID/number provisioning and lifecycle management.
• 4+ years as a Product Manager/Product Owner on a technical or infrastructure-heavy product (telephony, VoIP, messaging/CPaaS, or a comparably systems-heavy backend domain), with end-to-end ownership of a roadmap you can speak to in specifics.
• Demonstrable ability to read and reason about backend system design - can point to specs/PRDs you've written that account for real constraints like state machines, REST APIs, webhooks, or rate limits, not just UI/wireframe-level requirements.
• Comfortable working within engineering's own tooling (e.g., Jira) to track delivery progress and dependencies as part of the regular workflow.
• Demonstrated ownership of predictable, high-throughput delivery on a technical roadmap, with clear outcomes you can speak to.

Requirements — Good to Have

• Experience working with voice agents/voicebots (e.g., AI-driven call handling, IVR-to-bot handoff, conversational voice systems) — a strong plus given where our roadmap is headed.
• Experience with WhatsApp Business API or other messaging platforms.
• Prior exposure to outbound dialer / campaign-calling systems (OBD).
• SQL or basic scripting ability to work directly with product/ticket data.
• Prior experience at a CPaaS, UCaaS, or contact-center software company.

This profile is not for

• Candidates who prefer to operate purely at the conceptual/strategy level without engaging with system architecture or engineering-level detail.
• Candidates who aren't comfortable using ticket-tracking tools as part of their regular workflow to track delivery and dependencies.
• Candidates without genuine, hands-on exposure to telephony systems or comparably complex technical infrastructure

About the Role

We are looking for a hands-on Applied AI / Full Stack Engineer to build AI-powered products and experiences. The ideal candidate should be comfortable working across AI, backend, and frontend and taking features from idea to production.

Key Responsibilities

• Build and deploy AI/LLM-powered applications and features.
• Develop AI agents, RAG pipelines, tool/function-calling workflows and integrations.
• Build scalable backend APIs and services.
• Develop frontend applications using React/Next.js.
• Integrate LLMs such as OpenAI, Claude, Gemini, etc.
• Work with databases, cloud platforms and production deployments.
• Collaborate with product and design teams and take ownership of features end-to-end.

Must-Have Skills

• 3–6 years of software engineering experience.
• Strong Python and/or TypeScript/Node.js.
• Strong React.js / Next.js / TypeScript experience.
• Hands-on experience with LLMs / Generative AI.
• Experience with RAG, AI Agents or tool/function calling.
• Experience building and deploying real-world products.
• Good understanding of APIs, databases and cloud deployment.

Good to Have

• LangChain / LangGraph / LlamaIndex
• PostgreSQL / Vector Databases
• AWS / GCP / Azure / Vercel
• Docker / CI/CD
• Experience in an early-stage startup or AI product company.

We are looking for builders who can take a problem, experiment, build, ship and improve it—not just candidates with AI keywords on their resume.

Junior PHP/Laravel Developer – Education ERP

Experience: 1–3 Years

Employment Type: Full-Time

Location: Remote

We are looking for a Junior PHP/Laravel Developer with hands-on experience in Core PHP, Laravel, and MySQL. The candidate will work on Education ERP/EdTech applications, developing new features, fixing bugs, handling databases, and supporting existing applications.

Key Responsibilities

• Develop and maintain web applications using Core PHP and Laravel.
• Write and optimize MySQL/SQL queries and perform database operations.
• Develop and maintain ERP/EdTech modules and features.
• Create and integrate REST APIs and third-party services.
• Debug and resolve application issues and bugs.
• Understand existing codebases, database structures, and data flow.
• Follow coding standards, Git practices, and development best practices.
• Coordinate with senior developers to complete assigned tasks on time.

Required Skills

• Core PHP & Laravel
• MySQL / SQL
• Database relationships, joins, CRUD, and query optimization
• HTML, CSS, JavaScript & jQuery
• REST APIs and API integration
• Basic Git/version control
• Good debugging and problem-solving skills
• Ability to understand and work with an existing codebase

Preferred Experience

Experience with any of the following will be an advantage:

• Education ERP / EdTech
• LMS / School / College Management Systems
• Admission & Student Management
• Fee Management
• Examination Modules
• HRMS
• Finance Modules

Qualifications

B.Tech/B.E. (CS/IT), BCA, MCA, or equivalent qualification with relevant development experience.

What We Offer

• Remote Work
• Opportunity to work on Education ERP products
• Learning and professional growth opportunities
• Exposure to real-world enterprise applications
• Supportive development environment

RapidEye (rapideyeinspections.com) is AI-powered inspection intelligence for physical spaces. We are a US startup and our marketing runs on AI tools. We are hiring one person to run it with us, working directly with the two co-founders.

What you will do:

- Video ads and launch videos, made with AI video tools

- Paid ads: run experiments and track what works

- Growth operations: contact lists, scheduling, outreach support

- More over time, as you prove yourself

Who we want: You use AI tools daily and can make them do hard things. Excellent written English. Precise: you follow instructions exactly and flag ambiguity instead of guessing. Hungry, and looking to grow fast at a startup.

How we hire: apply at https://rapideyeinspections.com/apply/ and we send you a short test. Then a paid trial, then a full-time offer.

Fully remote, full-time, daily check-in with the co-founders. Pay: ₹40,000 to ₹65,000 per month, set by the trial project, with room to grow and promotions.

About the role

EOR SOFTWARE LTD is a UK-registered software development company.

We are looking for a Cybersecurity Technical Specialist based in India who can quickly study unfamiliar products, prepare for technical discussions, and participate in live calls with software vendors in English.

Responsibilities

• Study vendors’ products and the prepared documentation before each call.

• Quickly understand the product’s purpose, architecture, deployment, integrations, licensing, and limitations.

• Collect missing information from the internal technical team using a short checklist.

• Participate in vendor calls in English and present the agreed use case.

• Ask clarifying questions and document requirements, limitations, and next steps.

• Never guess or invent technical information. If an answer has not been confirmed, explain that the information will be checked with the technical team and provided later.

• Prepare a short, structured summary after each call.

Requirements

• Strong spoken English at a practical B2+ level or higher.

• 2–5 years of relevant professional experience.

• Knowledge of Windows and network fundamentals, endpoint security, AV/EDR, vulnerability management, penetration testing, and Red Team concepts.

• Ability to understand technical questions and clearly explain cybersecurity concepts without relying on a prepared script.

Relevant professional backgrounds may include cybersecurity technical or product support, security consulting, SOC L2, endpoint security, solutions engineering, technical presales, and junior or mid-level penetration testing.

Engagement and compensation

• Fully remote, part-time contractual engagement.

• No fixed monthly working hours.

• Approximately 5–10 completed vendor calls per month.

• Calls are arranged in advance and require availability during agreed periods overlapping with European business hours.

• Compensation is USD 30 before taxes per completed vendor call.

• Expected monthly compensation is USD 150–300, depending on the number of completed calls.

• This is not a full-time salaried position. The annual salary range displayed on the platform is an estimated annual equivalent based on the expected call volume.

Selection process

• Short screening call with the manager, including a live English conversation.

• Rapid-learning exercise based on public documentation for an unfamiliar cybersecurity product.

• Short simulated vendor call focused on product understanding, technical communication, and handling unknown questions.

• Final interview.

Offensive-security tasks will not be performed during the assessment.

Job Title : Laravel Developer (Full-Time)

Company: Honeybee Digital

Job Type: Full-Time

Work Mode: Remote / Work From Home

Salary: ₹20,000 – ₹30,000 per month

Experience: 1–3 years

Location: Remote, India

Job Description

Honeybee Digital is looking for a skilled and motivated Laravel Developer to join our development team.

The ideal candidate should have strong experience in Laravel and PHP and be passionate about building scalable, secure, and high-performance web applications.

If you enjoy solving technical challenges and working on real-world web development projects, we would love to hear from you!

Responsibilities

• Develop, maintain, and optimize web applications using Laravel and PHP.
• Write clean, efficient, and reusable code.
• Work with MySQL databases and develop database-driven applications.
• Build and integrate REST APIs.
• Troubleshoot bugs and improve application performance.
• Collaborate with the development team to implement new features.
• Maintain website security, functionality, and responsiveness.
• Participate in testing, debugging, and deployment activities.

Requirements

• 1–3 years of hands-on experience in Laravel and PHP development.
• Strong knowledge of Laravel framework and MVC architecture.
• Good understanding of MySQL and database management.
• Experience with HTML, CSS, JavaScript, and REST APIs.
• Familiarity with Git and version control.
• Strong problem-solving and communication skills.
• Ability to work independently in a remote environment.

What We Offer

• Salary: ₹20,000 – ₹30,000 per month.
• Remote work opportunity.
• Opportunity to work on real-world web applications.
• Collaborative and growth-oriented work environment.
• Learning and professional development opportunities.

Role Overview

The Principal Architect leads Byteridge’s Technology Strategy & Solutions Group (TSS). This is a senior, visible role responsible for defining technology point-of-view, shaping solution narratives, guiding enterprise conversations, and influencing revenue through differentiated thinking.

The Architect owns thought leadership, reference architectures, solution accelerators, and selective engagement on high-impact deals.

Key Responsibilities

• Own, enhance & execute Byteridge’s technology strategy across priority areas (Cloud, Data, Gen AI, Modernization).
• Create and maintain enterprise-grade reference architectures, solution blueprints, PoCs and accelerators.
• Lead strategic discovery workshops and executive-level solutioning for priority opportunities.
• Partner with Content Marketing to translate technical POVs into blogs, whitepapers, decks, webinars, and sales narratives.
• Enable the Enterprise Account Executive with differentiated solution stories and technical credibility.
• Build strong partnerships with Byteridge delivery teams to identify high-impact solutions and projects that can be leveraged as compelling capability showcases for existing customers and prospective clients.
• Work with Delivery Team Architects to influence delivery standards and architectural consistency across teams.
• Research market and industry trends across technologies, popular enterprise solutions, and buyer adoption patterns. Go deep into selected domains and verticals to continuously refine Byteridge’s technology strategy, solution approaches, and positioning.
• Act as a visible external voice through talks, webinars, and published content.

Ideal Profile

• 13–20 years of experience across technology architecture, solutioning, or technology consulting roles.
• Demonstrated ability to research and synthesize market trends, emerging technologies, and popular enterprise solutions.
• Experience developing deep expertise in specific domains or industry verticals and translating that into solution strategies.
• Strong background in modern software engineering, cloud platforms, data, AI, and enterprise systems.
• Proven track record of influencing client decisions and shaping solution direction, not just designing systems.
• Comfortable working at the intersection of technology, business strategy, marketing, and sales.
• Excellent communication skills with executive presence and the ability to articulate complex ideas clearly.

Success Metrics (KPIs)

• Quarterly technology and market POVs produced and adopted internally or externally.
• Creation and reuse of reference architectures, solution frameworks, and accelerators across deals.
• Number of high-impact delivery projects converted into capability showcases and sales assets.
• Influence on strategic opportunities, measured through deal quality, size, and AE feedback.
• Thought leadership visibility through blogs, webinars, talks, or industry participation.
• Internal adoption of architectural standards and solution approaches by delivery teams.

What You'll Do

• Generate and qualify new business opportunities
• Prospect through LinkedIn, Upwork, Apollo, referrals, networking, and cold outreach
• Lead discovery calls and client meetings
• Collaborate with our technical team on proposals
• Negotiate contracts and close deals
• Build and maintain long-term client relationships

Qualifications

• Strong interpersonal and customer service skills
• Excellent written and verbal communication
• Basic understanding of sales processes and lead follow-up
• Strong organizational and time-management skills
• Familiarity with CRM tools and office productivity software is a plus
• Ability to work independently in a remote environment
• Any Graduate or Master's degree can apply

About Meera Labs

Meera Labs is building Meera, your personal companion powered by Conscious Intelligence. We are looking for a curious, hands-on Product & Growth Intern to help us grow adoption and improve the product.

What you will do

• Spend about 40% of your time on user outreach, community conversations, and customer discovery.

• Spend about 60% of your time on product and growth experiments, landing pages, messaging, funnels, and retention ideas.

• Run experiments, measure results, and turn learning into clear product recommendations.

• Help acquire at least 10 new paying customers each week through thoughtful, organic outreach, plus additional paid-growth work.

• Research users and competitors and share concise insights with the team.

What we are looking for

• Strong ownership, curiosity, clear written communication, and comfort talking to users.

• Interest in startups, product, growth, marketing, and experimentation.

• Ability to work independently in a remote environment and learn quickly.

• Students, recent graduates, and early-career applicants are welcome.

What you get

• 3-month remote internship with founder mentorship.

• ₹7,500 per month stipend.

• 5% uncapped commission on each sale you generate.

• 5,000 Meera Coins and hands-on startup experience.

• Immediate start; flexible schedule with reliable weekly availability.

How to apply

Apply through Cutshort. Upload your CV and include a short note with your availability, one example of something you built or grew, and your answer to: What growth experiment would you run in your first week for Meera, and why?

Experience: 6+ years overall Data Engineering experience.

Must-have — candidates should have hands-on experience in ALL of these:

1. GCP (Google Cloud Platform) – strong hands-on experience
2. Python – data engineering/ETL development
3. SQL – advanced SQL, query optimization, data transformation
4. BigQuery – strong hands-on experience with development, optimization and data warehousing
5. Data Engineering / ETL – building and maintaining data pipelines
6. GCP data services – preferably Cloud Storage, Dataflow, Pub/Sub, Composer/Airflow, etc.
7. Data warehousing / dimensional modeling

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World's Best Employers 2025) is consistently listed among the most admired companies in the world. 

This role is part of Cognizant IOA (Intuitive Operations and Automation) — and more specifically, a product team with its own origin story. We started as Matterway, a German startup building automation software from scratch. We were acquired by Cognizant, but we kept our team, our culture, our pace, and our way of working. We move like a startup, think like a startup, and now do it with the backing of a global company. 

We combine human expertise with intelligent automation, ML operations, and digital experience solutions to help technology and digital-native companies build smarter, more adaptive operating models. 

What's the opportunity? 

We are looking for Senior Product Engineers to join our team. We're a tight crew of 5 senior engineers, from different corners of the world. We're hiring 3 more people, and those people will shape what this team becomes. 

We're building a platform to support the agentification of our operations. You'll work across a suite of products including a cloud platform for process optimization, desktop application, browser extension, and specialized AI agents. 

This is genuinely frontier work: we don't follow AI trends, we implement them. New model drops on a Monday; we've prototyped with it by Wednesday. 

We believe this is the most exciting time to join. Be part of the founding R&D talent in this area and help set the technical bar for everything that comes next. 

What will you be doing? 

Your day-to-day responsibilities: 

• Design and evolve the core architecture of our platform 
• Set technical standards and take ownership of complex projects end-to-end 
• Work on a well-architected, fast-evolving TypeScript codebase using technologies such as React, Node.js, Electron, and GraphQL 
• Collaborate with product managers, designers, and engineers to solve challenging technical and business problems, with real autonomy 
• Participate in the full development lifecycle: scoping, design, estimation, coding, testing, debugging, code reviews, maintenance, and support 
• Evaluate and implement proofs of concept using the latest AI tools and models 

You will know you're successful if: 

• You develop projects independently until they deliver their intended business value 
• You keep top-notch software quality standards about design, implementation, and documentation 
• You're the person who brings something new to the team's radar, a model, a technique, a tool, before anyone else has heard of it 

What makes you a great fit 

Must-haves: 

• Excellent English (C1+) with exceptional written and verbal communication 
• Strong proficiency with TypeScript across frontend and backend, including building and maintaining Node.js-based services 
• Experience in frontend development using modern frameworks such as Vue.js or React 
• Knowledge of any E2E testing framework such as Playwright, Puppeteer, Selenium, Cypress 
• Ability to work independently and take ownership of deliverables 
• Strong technical fundamentals, genuine intellectual curiosity, and a drive to keep getting better 
• You follow AI closely, not just as a user but as someone who reads the papers, watches the releases, and has opinions. You're excited about where this is going and want to be building at the edge of it 

Nice-to-haves: 

• Familiarity with AI-coding tooling (Claude Code, Cursor, OpenCode, etc.) 
• Experience with cloud infrastructure (AWS, Azure or GCP) and infra-as-code deployment 
• Having built or maintained CI/CD pipelines or workflows, especially GitHub actions 

Why join us? 

• Be at the cutting edge of AI agents and applying LLMs to real-world use cases, not in theory but in production 
• Work on hard problems with high agency: your ideas get heard; your decisions get shipped 
• Join a small but growing internationally distributed team. 
• giving you real influence over how it evolves 
• The resources of a global company with the speed and culture of a startup 
• Remote-first set-up, with the option to work from one of our 13 locations in India: Chennai, Bangalore, Hyderabad, Pune, Mumbai, Gurgaon, Noida, Kolkata, Kochi, Coimbatore, Bhubaneswar, Mangalore, and Indore 
• Flexible working hours 
• Collaborative, pragmatic engineering culture focused on outcomes 
• Fast-growing team within Cognizant, with access to global resources and real career opportunities 

Role Title – IFS Cloud Consultant 

Experience – 3+ Years

Notice Period – Immediate

Location – Anywhere in India (PAN India)

Work Model – Remote

Shift Timing – 12 PM to 9 PM / 2 PM to 11 PM

Experience: 

•Minimum 3+ years of experience working with IFS Cloud. 

•3+ years of experience as a technical developer in IFS Cloud EAM or ERP environments. 

•Experience in at least 2 end to end implementation of any IFS Cloud Projects 

Mandatory: Minimum 3+ years of experience working with IFS Cloud, Experience in at least 2 end to end implementation of IFS Cloud, Either anyone EAM OR ERP environments.   

Good to have: Integration experience 

Technical Skills: 

•Implementation and configuration knowledge across IFS Cloud ERP, EAM, and Manufacturing modules including Production, Shop Orders, Work Centers, BOMs, 

Routings, and Manufacturing Execution. 

•Demonstrated configuration and expertise in core EAM processes (PM programs, work orders, resources, failure codes, materials). 

•Working knowledge of Projections/REST APIs, IFS Connect, security/permission sets, and data migration tools. 

•Strong PLSQL (Oracle) for troubleshooting and Reports. 

•Understanding of discrete and/or process manufacturing workflows and how they integrate with IFS Cloud Manufacturing module. 

•Exposure to integration between Manufacturing Execution Systems (MES) and IFS Cloud for production order management, quality control, and shop floor reporting. 

•Knowledge of OEE (Overall Equipment Effectiveness), production KPIs, and how IFS Cloud Manufacturing supports performance tracking on the shop floor. 

• 

Preferred Certifications: 

•IFS Functional Certified Practitioner in Financials/ Human Capital management / Supply Chain / Manufacturing / Project ( Preferred ) 

•IFS Certified Practitioner Technical Consultant ( Required ) 

•IFS Certified Practitioner Integration Developer 

Job Description: Maximo Developer

Pan india-remote

5+ yrs exp 

Role Summary

We are looking for an experienced Maximo Developer to support application build, integration build, and configuration activities on our IBM Maximo environment. The ideal candidate will act as a hands-on developer, responsible for configuring, customizing, and integrating Maximo to meet business requirements across Work Management, Database Configuration, Integrations, and Supply Chain modules.

Experience Required

3–7 years of hands-on experience working as a Maximo Developer/Consultant, with demonstrated exposure to Maximo application development, configuration, and integration projects.

Key Responsibilities

Support end-to-end Maximo application build, configuration, and customization activities.

Design, develop, and maintain Maximo integrations (MIF, Integration Framework, web services, APIs) with third-party and enterprise systems.

Perform database configuration tasks, including object structures, relationships, attributes, and domains.

Configure and support Work Management processes (work orders, PMs, job plans).

Configure and support Supply Chain functionality (inventory, purchasing, storerooms, items).

Develop and modify workflows, escalations, automation scripts

Troubleshoot and resolve application, configuration, and integration issues.

Collaborate with functional teams and stakeholders to translate requirements into technical solutions.

Support testing, deployment, and post-go-live stabilization activities.

Required Skills & Knowledge

Strong knowledge of Maximo application architecture and core modules.

Hands-on experience with Maximo Work Management.

We have an SDET SDE3 opportunity with a fintech project. Which is a digital financial super app serving the West African market. The position is initially for 3 months on C2H and will be completely remote during the contractual period. After successful conversion, the role will be based out of Pune and will require 5 days of work from office.

The client is specifically looking for candidates who are currently working as SDETs and have strong coding or development experience. JavaScript or TypeScript and API automation are mandatory, along with hands-on experience in designing or owning automation frameworks. UI automation, CI/CD, WebDriverIO, K6, backend/mobile testing and production troubleshooting would be additional advantages.

Role Descriptions: - Design| develop Salesforce and CPQ solutions. - Configure and validate Conga CPQ (pricing| bundles| quoting workflows). - Develop Conga Composer document generation. - Build and automate Excel/X-Author solutions with VBA. - Integrate Salesforce with external systems using APIs. - Support CI/CD| deployments| and release management.

Essential Skills: - Salesforce roles across Development| CPQ and Excel automation. - Hands-on experience in Conga CPQ (pricing| configuration| quoting lifecycle). - Expertise in Salesforce development (Apex| LWC| Aura) . - Experience in Conga Composer (document generation/validation). - Strong exposure to X-Author for Excel and VBA automation. - Knowledge of APIs (REST/SOAP) and Salesforce data model. - DevOps exposure (Git| Jenkins| CI/CD| UCD).

Job Description:

We are looking for a highly skilled Full Stack Developer with a strong background in Angular, Java, Angular, and Cloud Server to join our dynamic team. The ideal candidate will have 4-8 years of professional experience in developing, enhancing, and maintaining scalable web applications and enterprise solutions.

Key Responsibilities:

• Design, develop, and maintain high-quality, scalable, and secure web applications using Angular and Java.
• Work on front-end development using Angular to create responsive and user-friendly interfaces.
• Implement back-end functionalities using Java and Struts frameworks.
• Develop, manage, and optimize SQL Server databases.
• Collaborate with cross-functional teams, including product managers, designers, and QA engineers, to deliver robust solutions.
• Ensure code quality through code reviews, testing, and adherence to coding standards.
• Debug and resolve technical issues and performance bottlenecks.
• Stay updated with the latest technologies and contribute to improving the development processes.

Required Skills:

• Proficiency in Angular for front-end development.
• Strong experience with Java and Struts for back-end development.
• Expertise in working with cloud and SQL Server for database management.
• Familiarity with RESTful APIs and integrating front-end and back-end components.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

Preferred Skills:

• Knowledge of Agile development methodologies.
• Experience with version control tools like Git.
• Familiarity with CI/CD pipelines and deployment strategies.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 
  

If you are passionate about technology and thrive in a fast-paced environment, we’d love to hear from you!

About the Role:- Knytra is a Delhi-based emerging streetwear brand creating modern, accessible apparel and accessories for a new generation. This internship supports its growing team by keeping recruitment organized, candidate communication timely, and onboarding coordinated.

Key responsibilities:-

• Screen resumes and shortlist candidates against role requirements.

• Schedule interviews and keep candidates and interviewers informed. • Maintain accurate hiring trackers, pipeline stages, and next actions

• Support joining documentation and onboarding coordination.

Who should apply:-

• Undergraduate or postgraduate students; final-year candidates are preferred

• Strong spoken and written English, interpersonal, and organizational skills.

• Working knowledge of MS Excel and genuine interest in HR or recruitment

• Available remotely for the full two-month engagement.

Availability :- Working hours follow the HR shift selected in your Offer. The selected shift and schedule will be communicated before joining. Compensation:- This is an unpaid internship. A ₹5,000 incentive may be awarded for extraordinary performance. This incentive is discretionary and not guaranteed.

Completion certificate:- Any internship completion or experience certificate is subject to satisfactory completion of the applicable internship requirements and handover.

How to apply:- Apply through Knytra's published HR internship listing with an updated resume.

careers.knytra.in/jobs/human-resources-intern

About KrisAtWork

KrisAtWork is an AI work companion designed for go-to-market functions to drive higher revenue and enhance efficiency. It offers real-time intelligence and step-by-step guidance, all through a single, centralized window to improve business productivity and outcomes. At KrisAtWork, we believe everything meaningful starts with people - those who build with us, and those we build for - united by a shared ambition to make work smarter.

About the Role

We are looking for a detail-oriented Quality Assurance Engineer to be a key member of our  B2B startup! You’ll be responsible for ensuring our AI platform delivers a high-quality, bug-free experience to users, while also capturing user feedback, resolving issues, and turning insights into action.

What You’ll Do

• Own the QA process across web and API layers - manual testing, test case creation, and regression testing.
• Develop and execute test plans for new features, releases, and bug fixes.
• Work closely with product managers and developers to identify edge cases and improve product robustness.
• Maintain a clear log of bugs, prioritise based on impact, and follow through to resolution.
• Contribute to automation efforts for scaling QA processes.
• Troubleshoot technical issues and escalate product bugs to the engineering team with clear reproduction steps.
• Track and categorise common user issues to drive product improvements and knowledge base content.
• Act as the voice of the customer within the company—helping turn feedback into roadmap ideas.

Who You Are & What Makes You Qualified

• 3+ years in a QA - preferably in a SaaS or AI/ML focussed company.
• Strong analytical, troubleshooting & excel skills; you're comfortable navigating logs, APIs, and debugging tools.
• Knowledge on tools like Postman, JIRA, Notion, Zendesk/Intercom, or similar.
• Customer-first mindset-you enjoy helping people and can turn friction into delight.
• Clear written and verbal communication in English.
• Experience testing conversational AI, LLM-based systems, or B2B platforms.

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

 We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

 We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

 We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

 We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Role Overview

As a Software Craftsperson I, you will have 2+ years or experience and will work on well-defined tasks as part of a team, building strong software engineering fundamentals and gradually increasing your independence.

You’ll work closely with experienced engineers, ask questions, seek feedback, and learn the team’s ways of working. You’ll contribute to building reliable, maintainable software while developing your skills in coding, testing, debugging, tooling, and documentation.

At Incubyte, AI is part of how we craft software. You’ll use AI to explore solutions, learn faster, improve code, write and review tests, debug issues, and get quick feedback — while developing a strong understanding of the fundamentals behind the work.

Responsibilities

Responsibilities

Deliver well-defined tasks on time, with increasing independence and support from experienced engineers when needed.

Write clear, reliable, and maintainable code by following established team patterns and practices.

Build strong fundamentals in testing, debugging, tooling, and documentation.

Actively seek feedback, learn from code reviews and peers, and apply feedback to improve your work.

Ask questions, understand the “why” behind tasks, and connect your work to customer value.

Communicate clearly about progress, blockers, and challenges; raise problems along with possible solutions.

Contribute positively to team ceremonies, collaboration, and continuous small improvements.

Use AI thoughtfully to support learning, coding, testing, debugging, and faster feedback.

Requirements

What We're Looking For

Expertise in Ruby on Rails, Test Driven Development, React, React.js or JavaScript, and TypeScript 

Strong skills in object-oriented programming, data structures, algorithms, and software engineering methodologies 

Ability to design and develop web architecture and optimize existing infrastructure 

Experience working in Agile and eXtreme Programming methodologies within a continuous deployment environment 

Interest in mastering technologies like web server ecosystems, relational DBMS, TDD, CI/CD tools 

Knowledge of server configuration and deployment infrastructure 

Experience using source control, bug tracking systems, writing user stories, and technical documentation

Benefits

Life at Incubyte

​

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.

​

Perks

Dedicated learning & development budget.

Sponsorship for conference talks.

Comprehensive medical & term insurance.

Employee-friendly leave policies.

Home Office fund

Medical Insurance

About GeoRankers

GeoRankers is an AI searchlir visibility platform helping B2B SaaS companies understand how their brands appear across ChatGPT, Google AI Search, and Perplexity.

We are looking for an Off-Page SEO Specialist who can build relevant, high-quality backlinks through strong research, personalized outreach, and genuine industry relationships.

Key Responsibilities

• Identify relevant websites, blogs, newsletters, and resource pages in SaaS, marketing, SEO, AI, and startup categories
• Create targeted prospect lists based on relevance, website authority, organic traffic, and content quality
• Conduct personalized email outreach for guest posts, link insertions, resource pages, expert contributions, and partnerships
• Explore broken-link building, digital PR, and journalist outreach opportunities
• Coordinate guest-post topics and content requirements with the internal team
• Track prospects, responses, follow-ups, published links, and pending opportunities
• Monitor acquired backlinks to ensure they remain active
• Share monthly reports covering outreach activity, response rates, backlinks acquired, and key learnings

Monthly Expectations

• Conduct at least 100 relevant outreach attempts
• Secure approximately 8–10 quality backlinks, with a minimum expectation of 5–6
• Prioritize contextually relevant websites, generally with a Domain Rating of 25 or above
• Focus on genuine editorial backlinks instead of directories, profile links, or low-quality placements

Required Skills and Experience

• 1–3 years of hands-on experience in off-page SEO or link building
• Experience with manual backlink outreach and relationship building
• Strong written English and email communication skills
• Understanding of guest posting, blogger outreach, competitor backlink analysis, and broken-link building
• Ability to evaluate a website beyond surface-level SEO metrics
• Familiarity with Ahrefs, Semrush, Google Search Console, or similar tools
• Strong research, negotiation, organization, and follow-up skills
• Ability to work independently and take ownership of monthly targets

Experience working with B2B SaaS, technology companies, or early-stage startups will be an advantage.

Why Join GeoRankers?

• Work directly with the founding team
• Flexible, remote working arrangement
• Freedom to experiment with outreach strategies
• Opportunity to work in the emerging AI search and visibility category
• Potential for a longer-term association and esops based on performance

This is a backend role. You won't build screens, and you don't need frontend experience. The mobile team will add a language picker and pass a locale to the backend. Everything behind that is yours: the data model, content pipelines, LLM generation, retrieval, audio, notifications, and making sure all of it holds up in production.

What you'll build

1. The language data model

• Design how language lives in the database: user language preference, per-story translations, fallback chains (e.g. pt-BR → pt → en), and versioning so a translation is marked stale when its English source changes.
• stories.translations (jsonb) already exists and nothing reads it yet. Decide whether it stays, or whether we move to a dedicated story_translations table, and write down why.
• Everything ships as new, reversible migrations. We never edit an existing migration.

2. The content translation pipeline

• Our library has already been translated into several languages using the Anthropic Batch API, with a two-pass generate-then-review process. Move this into the repo so it's idempotent, re-runnable and cheap, and so it handles only the stories that changed.
• Build a glossary and style layer: Hebrew terms, names of sages and sources, and terms that must never be translated. Add automated QA checks (completeness, glossary adherence, length drift, broken formatting) plus a sampling workflow for native-speaker review.

3. Generation in the user's language

• Reflections, bridge text, the three practices (Echo, Naming, Walking) and Path arcs are generated by Claude through shared prompt modules in our Supabase edge functions. Make them produce native, natural output in the target language. That means writing in the language directly, not translating English after the fact. Our existing rules must still hold, e.g. each practice carries a Hebrew term with its meaning explained, now explained in the user's language.
• Build a per-language evaluation harness so we can check quality before a language goes live and catch regressions when prompts change.

4. Multilingual matching

• Today, language-validation detects the language of the user's input and blocks anything that isn't English. Replace that gate with detection and routing.
• Story matching uses OpenAI text-embedding-3-large over pgvector. Measure how well non-English input retrieves the right English-indexed stories. Then decide between cross-lingual matching, per-language embeddings, or a hybrid, and back the decision with numbers.

5. Audio

• Stories and reflections are read aloud by ElevenLabs voices. Audio is currently stored per voice (audio_urls), so it has to become per voice and per language. Pick voices for each language, and plan batch pre-rendering, storage, cost and backfill.

6. Server-side copy

• Move push notification copy (including our Shabbat-aware scheduling), transactional and lifecycle emails, and database-driven home-screen messages out of the code and into a locale-aware string system with proper plurals and date formats.

7. Safe rollout

• Several app versions are live at the same time, and older builds can't be changed. Every change you make must stay backward compatible: English stays the default, current RPC signatures stay the same, and each language can be switched on independently behind a flag.
• Track cost and quality for each language: tokens, TTS credits, fallback rate and generation failures.

Our stack

• Backend: Supabase: Postgres (RLS, RPCs, pgvector, jsonb, pg_cron) and 50+ Deno/TypeScript edge functions
• AI: Anthropic Claude (Messages and Batch APIs, prompt caching), OpenAI embeddings, ElevenLabs TTS
• Data/scripts: Python and Node
• Other: RevenueCat, Resend, Expo Push/FCM. The app is Expo/React Native, but you won't need to work in it.

You'll be a fit if you have

• 5+ years of backend engineering, with strong PostgreSQL: schema design, migrations on live data, RLS, stored functions, and performance tuning.
• Production TypeScript (Deno or Node) and solid Python for data pipelines.
• Shipped LLM features to production, beyond prototypes: prompt design, structured output, batch processing, cost control, and above all evaluation. You know how to tell whether output in a language you don't speak is good.
• Built backend internationalization before: locale negotiation, fallback chains, ICU/CLDR plurals and dates, and translation workflows with versioning.
• Worked with embeddings and vector search, and can design a retrieval evaluation.
• Care about keeping production running: backward compatibility, feature flags, and rollouts that can be undone.
• Write clearly. Decisions here get written down before they get built.

Nice to have

• Experience with ElevenLabs or other TTS pipelines.
• Supabase-specific experience.

We are looking for an experienced Software Engineer to join an AI engineering startup developing a document collection platform for accountants and professional services firms. 

Preference to candidates from Kerala, India.

The product eliminates the friction involved in gathering client files by automating document requests, centralising their collection, and organising incoming documents according to each organisation’s preferred folder structure.

The ideal candidate will be able to take ownership of work from start to finish, communicate clearly, and deliver high-quality solutions within tight timeframes.

What You’ll Work On

You’ll work with Python and Django daily, including models, views, templates, background jobs, and the wider product around them.

The frontend uses Django templates with HTMX and Alpine.js, built with Vite, TypeScript, and Tailwind CSS. The stack runs in Docker using PostgreSQL, Redis, RabbitMQ, and Celery.

You may also assist with ancillary projects, including custom integrations.

Project-based training will be provided.

Technology Stack

Backend: Python, Django, PostgreSQL, Celery, Redis and RabbitMQ

Frontend: Django Templates, HTMX, Alpine.js, Vite, TypeScript and Tailwind CSS

Infrastructure: Docker

Must Have

• Strong Python and Django skills
• Comfortable working with Docker
• Fluent written and spoken English
• Clear communication skills, including providing concise updates, asking honest questions, and writing information that others can act on
• Evidence of exceptional ability—not simply a list of tools, but something challenging you have built or solved

Preference will be given to candidates with at least three years of relevant professional experience.

Nice to Have

• Frontend experience with HTML, CSS and JavaScript
• Experience with HTMX, Alpine.js, TypeScript or Tailwind CSS
• Knowledge of PostgreSQL, Celery or pytest
• Experience with integrations, including APIs, OAuth and cloud storage
• Basic accounting knowledge

How to Apply

Please do not send a generic CV alone. Your application must include:

1. Evidence of exceptional ability: Describe a project, open-source contribution, production system or challenging problem you solved. Include a link to the repository, write-up or demo where possible. Focus on your personal contribution by detailing the specific parts of the project where you played a critical role and explaining precisely what you built or solved.
2. What you accomplished: Provide a short explanation of the outcome in your own words.
3. The hardest part: Explain the hardest part of the problem and how you dealt with it.
4. Your use of AI: Explain whether you use AI in your work and, if so, how you use it.
5. Your professional experience and interests: Include a brief paragraph summarising your professional experience and general interests.

Applications that do not include the above Croissant details above will not be considered.

What We Offer

• For the right candidate, salary will not be a constraint
• Project-based training
• A rewarding career with genuine opportunities for professional growth
• The opportunity to work on an innovative AI-driven product
• A remote, full-time position
• 
  

Job Details and Application Submission

Location: Remote

Employment Type: Full-time

Contract: One-year contract, with the possibility of extension based on satisfactory performance

Probationary Period: Six months

Preferred Experience: Three or more years

Digital Mold Data Scientist and Manufacturing Analytics Specialist

Job Summary

COAST Systems is seeking a Data Scientist and Manufacturing Analytics Specialist in India to support a global client’s Digital Mold program.

This position will work with large and complex manufacturing, engineering, tooling, maintenance, and quality datasets. The successful candidate will transform fragmented operational data into reliable datasets, dashboards, actionable insights, and continuous-improvement opportunities.

This is a hands-on analytics role requiring close collaboration with engineering, manufacturing, operations, and business stakeholders. The position is particularly suited to someone who can understand a technical manufacturing problem, determine what the data is showing, and communicate practical recommendations that improve performance.

Key Responsibilities

• Collect, prepare, cleanse, normalize, and validate manufacturing and engineering data from multiple sources.
• Establish reliable and repeatable datasets for analytics, reporting, and decision-making.
• Analyze data to identify trends, risks, performance gaps, improvement opportunities, and potential cost savings.
• Develop and maintain dashboards, visualizations, KPI reporting, and business intelligence solutions.
• Analyze maintenance and operational performance using measures such as:
• Mean Time to Repair or MTTR
• Mean Time Between Failures or MTBF
• Overall Equipment Effectiveness or OEE
• Preventive and corrective maintenance performance
• Tool reliability, condition, quality, utilization, and lifecycle indicators
• Work closely with engineering and operations teams to convert technical and operational problems into data-driven solutions.
• Support continuous improvement, operational excellence, and process optimization initiatives.
• Align analyses and recommendations with client goals, priorities, and expected business outcomes.
• Identify relationships among tooling, maintenance, production, quality, sensor, and lifecycle data.
• Present findings clearly to technical and nontechnical stakeholders.
• Help establish consistent data definitions, analytical methods, and reporting standards.
• Support the development of predictive analytics, machine learning, and AI-enabled capabilities where appropriate.
• Learn the COAST software environment and relevant client or third-party systems.
• Help map and connect tool-specific data across systems so that information can be aligned and used consistently.

Required Qualifications

• Bachelor’s or master’s degree in data science, statistics, mathematics, computer science, engineering, operations research, or a related quantitative discipline.
• Strong data science and analytics experience involving large, complex, or multi-source datasets.
• Demonstrated experience with data preparation, cleansing, transformation, normalization, validation, and data-quality management.
• Strong statistical and analytical problem-solving skills.
• Proven experience developing dashboards, data visualizations, KPI reporting, and business intelligence solutions.
• Ability to analyze data and translate findings into clear, practical business or operational recommendations.
• Experience working with technical, engineering, operational, or business stakeholders.
• Strong continuous-improvement and process-optimization mindset.
• Ability to communicate clearly in English with global teams and client stakeholders.
• Ability to work independently, manage priorities, and investigate unclear or incomplete data.
• Strong attention to detail and commitment to data accuracy.

Preferred Qualifications

• Experience analyzing data in a manufacturing, engineering, maintenance, operations, or asset-management environment.
• Understanding of manufacturing equipment, tooling, maintenance, quality, and asset lifecycle concepts.
• Familiarity with MTTR, MTBF, OEE, preventive maintenance, reliability, and related manufacturing KPIs.
• Experience in plastics manufacturing or packaging, including any of the following:
• Injection molding
• Blow molding
• Extrusion blow molding
• Injection stretch blow molding
• Compression molding
• Other polymer-processing operations
• Experience working with cloud-based data platforms or data lake environments.
• Experience combining data from multiple software systems, databases, APIs, files, or vendor platforms.
• Experience with sensor, machine, equipment, IoT, or time-series data.
• Exposure to predictive analytics, machine learning, anomaly detection, forecasting, or AI applications.
• Experience developing analytics that lead to actionable workflows, reduced costs, improved reliability, or reduced manual effort.
• Experience supporting global organizations or working in a client-facing environment.

Technical Skills

Candidates should demonstrate proficiency in several of the following areas:

• SQL
• Python or R
• Statistical analysis
• Data preparation and transformation
• Data validation and data-quality analysis
• Dashboard and visualization development
• Power BI, Tableau, QuickSight, or a comparable BI platform
• Cloud data lakes or cloud analytics environments
• Relational and non-relational data sources
• Advanced Microsoft Excel
• Predictive modeling or machine learning
• API or multi-system data integration

Specific experience with every listed technology is not required. The candidate must, however, have strong foundational analytics skills and the ability to learn unfamiliar platforms and data environments.

Critical Competencies

• Analytical curiosity
• Structured problem-solving
• Systems thinking
• Data accuracy and attention to detail
• Continuous-improvement mindset
• Business and operational awareness
• Clear written and verbal communication
• Cross-functional collaboration
• Client responsiveness
• Adaptability and willingness to learn
• Ability to convert analysis into action

Experience

Approximately 4 to 8 years of relevant professional experience is preferred. Candidates with fewer years may be considered if they demonstrate strong hands-on analytics experience, manufacturing exposure, and the ability to work directly with engineering and operational stakeholders.

What Success Looks Like

The successful candidate will:

• Create trusted and repeatable manufacturing datasets.
• Deliver dashboards and reports that stakeholders actively use.
• Identify meaningful risks, trends, and improvement opportunities.
• Help engineering and operations teams make better decisions from their data.
• Improve the consistency of tool-specific information across systems.
• Progressively develop more advanced predictive and AI-enabled Digital Mold capabilities.
• Produce measurable improvements in reliability, operational performance, cost, and efficiency.

Suggested Key Skills

Data Science, Manufacturing Analytics, Data Analytics, Business Intelligence, Dashboard Development, Data Visualization, Power BI, Tableau, Amazon QuickSight, SQL, Python, R, Statistical Analysis, Data Cleansing, Data Normalization, Data Validation, Data Quality, Manufacturing KPI, OEE, MTTR, MTBF, Predictive Analytics, Machine Learning, Continuous Improvement, Process Optimization, Maintenance Analytics, Reliability Analytics, Cloud Data Lake, Sensor Data, IoT Analytics, Injection Molding, Plastics Manufacturing

We're Hiring: Agentic Tools Architect

Contract | Remote-first | Global

We're currently recruiting for one of our clients, A company that specializes in acquiring enterprise software businesses and transforming them into AI-native, profitable, scalable operations. They run remote-first, globally distributed teams, and their internal operations platform (Odoo, Redmine, GitHub) currently runs on human-shaped workflows. They're looking for someone to rebuild it for agents.

The Role

Redesign the client's operational tooling so AI agents can create, route, and resolve work alongside people — with minimal oversight. You'll own the roadmap, build the plugins (Rails-first), and set the guardrails.

You'll:

• Own feature roadmap across Odoo, Redmine, GitHub & adjacent systems
• Design agent-operable APIs, MCP servers, and automation
• Build Rails-based Redmine plugins, Odoo modules, GitHub Apps that survive version upgrades
• Review AI-generated PRs and agent-authored config; set standards for access, integrity, observability

You bring:

• 10+ years in software/platform engineering with deep SME knowledge of Odoo, Redmine, GitHub, or similar
• Expert Ruby on Rails, production Redmine plugin experience
• Real-world agentic dev experience (MCP, LLM tooling, agent workflows)
• Strong grip on delivery/support/ops business processes

Nice to have: Python + Odoo modules, PostgreSQL, legacy modernization experience, PE-backed/SaaS scale-up background

The web is about to gain a second interface

Today, websites are designed for people. Agents must interpret pages, hunt for controls, and imitate clicks to accomplish anything.

We believe that will change. Websites will expose their capabilities directly to agents: structured, testable interfaces that work alongside the human experience. WebMCP is an early step toward that future. Signett is building the developer platform around it.

Our goal is to make creating an excellent agent interface as normal as building an API or testing a user interface.

The foundational product already exists. Signett has a public TypeScript library, documentation, benchmarks, real-world integrations, a website, and a Chrome extension. You would not be joining to turn a slide deck into an MVP. You would be joining to discover what makes a promising product become something developers genuinely adopt.

See it at signett.ai.

The opportunity

You would be Signett’s first hire and would have unusual ownership over the product’s direction.

Your job is to run one loop repeatedly:

1. Find an external developer or team with a real reason to make its website agent-ready.
2. Work inside its codebase and ship the integration.
3. Identify what made the process difficult.
4. Fix that friction yourself—in the library, documentation, testing tools, or extension.
5. Publish what you learned so the next integration becomes easier.

You will move between engineering, product discovery, developer experience, and early distribution. There will be no handoff between those functions because, initially, you are the person connecting them.

The work could help establish how developers build and test agent interfaces for the web. It could also reveal that our present assumptions are wrong. Either outcome requires someone who cares more about finding the truth than defending the existing product.

The first 90 days

The initial targets are deliberately concrete:

• Five external teams attempt the 30-minute integration.
• At least three ship a real workflow without founder intervention.
• Two remain active or request a paid capability such as shared history, CI, analytics, or evaluations.
• Two reference integrations and case studies become public.

By the end, we should know which part of Signett developers truly value—exposure, testing, reliable execution, the Inspector, evaluations, or something we have not yet recognized.

You may be a strong fit if you have

• Six to ten years of experience as a product-oriented full-stack or frontend engineer.
• Strong TypeScript, React or Next.js, browser API, and Playwright or Cypress experience.
• Built SDKs, developer tools, browser tooling, API infrastructure, or observability products.
• Personally helped developers adopt something through documentation, examples, workshops, open-source work, or direct integrations.
• Enough commercial instinct to find a design partner, lead the conversation, and turn the resulting work into a useful public case study.
• The judgment and autonomy to make progress without daily direction.
• Clear writing and demonstration skills in addition to strong engineering ability.
• 
  

Experience with WebMCP or MCP is helpful but not required. Curiosity and the ability to learn an evolving standard matter more. The WebMCP proposal is public at github.com/webmachinelearning/webmcp.

The anti-sell

Signett has a product, but it does not yet have proven product-market fit. Adoption is the open question, and answering it is the core of this role.

You should not join if:

• You want a role devoted entirely to writing code handed to you through a roadmap.
• You expect someone else to find users, conduct interviews, write documentation, or publish the work.
• You need a large team, established processes, or daily management to be effective.
• Your experience is primarily managing mature organizations rather than building from ambiguity.
• Your main strength is developer content without production software behind it.
• You want to research or train models rather than build browser-based products developers use.
• The uncertainty of an emerging standard makes you uncomfortable.
• You need the stability and specialization of a conventional engineering position.

.

This is not a comfortable job with a “founding” title attached to it. It is a chance to take a technically serious, public product and prove—or disprove—that it deserves to become an important company.

How we will start

We begin with a paid four-to-six-week project involving a real external TypeScript application, not a synthetic coding exercise.

The purpose is for both sides to experience the actual work: finding a useful integration, shipping it, learning from developers, and improving Signett. If the collaboration works and the evidence supports continued investment, the intended path is a permanent, full-time role.

The work is fully remote. Compensation, location, time-zone overlap, and the terms of the initial project will be discussed transparently before the process begins.

About Us

Our company is a performance marketing and lead generation company working across pay-per-call, pay-per-lead, live transfer, and CPA traffic campaigns. We work with advertisers and traffic partners across several consumer verticals and are looking for an Affiliate

Manager who can help us find good publishers, get campaigns launched, and grow the partners that perform.

This is a hands-on role. We are looking for someone who can work independently, communicate well, and take ownership without needing a lot of management.

What You’ll Do

• Recruit new affiliates, publishers, media buyers, and lead-generation partners.
• Prospect through LinkedIn, Telegram, Teams, email, affiliate groups, conferences, and other industry sources.
• Build relationships with publishers and understand what types of traffic and offers they are looking for.
• Vet, Screen, Have Sales Calls, and Onboard new partners to get campaigns launched.
• Explain campaign requirements, payouts, caps, targeting, tracking, and compliance rules.
• Manage existing publisher relationships and look for ways to increase volume.
• Review daily and weekly performance including leads, calls, conversion rates, dispositions, returns, quality, and profitability.
• Work with publishers to improve traffic when performance is below expectations.
• Rotate traffic between campaigns and buyers based on performance and available capacity.
• Negotiate payouts, CPA terms, revenue-share arrangements, and other campaign economics.
• Set up and troubleshoot campaigns in platforms such as Ringba, LeadProsper, Everflow, TUNE, Offer18, TrackDrive, or similar systems.
• Work with postbacks, tracking links, APIs, pixels, and basic lead-routing setups.
• Monitor partners for compliance with campaign requirements and applicable marketing rules.
• Keep partner records, notes, follow-ups, and campaign information organized.
• Communicate with advertisers and internal team members when issues come up.
• Help identify new offers, traffic opportunities, and markets we should test.

What We’re Looking For

We care more about whether you understand this business than whether your resume is perfect.

Ideally, you have 2–5+ years of experience in affiliate marketing, performance marketing, lead generation, media buying, publisher development, or a related field.

You should be comfortable with:

• Affiliate and publisher relationship management
• Pay-per-lead, pay-per-call, CPA, CPL, CPS, live transfer, or revenue-share campaigns
• Recruiting and onboarding new traffic partners
• Negotiating payouts and campaign terms
• Analyzing campaign performance
• Lead and call quality
• Conversion rates and disposition reporting
• Affiliate tracking platforms
• Postbacks, pixels, APIs, and basic tracking concepts
• Excel or Google Sheets
• Email and LinkedIn outreach
• Working independently in a remote environment

Experience with Ringba, LeadProsper, Everflow, TUNE/HasOffers, Offer18, TrackDrive, Retreaver, or similar platforms is helpful but not required.

Experience in verticals such as credit, insurance, financial services, legal/MVA, home services, debt, Medicare, business loans, or other lead-generation markets is a plus.

What Makes Someone Good at This Job

The best person for this role probably likes talking to people but is also comfortable looking at numbers.

You need to be able to find partners, figure out whether their traffic is actually good, keep good partners happy, and deal with problems when something stops working.

You should be persistent about follow-up. Affiliate partners regularly disappear, get distracted, launch late, send the wrong traffic, or need help getting a campaign working. We want someone who stays on top of things instead of waiting for people to come back to them.

We also value people who are commercially minded. If an affiliate wants a higher payout, you should be thinking about whether the economics support it rather than simply saying yes or no.

What Success Looks Like

Within the first few months, you should be able to take ownership of a group of publishers, bring new partners into the network, get campaigns launched without much supervision, and understand which relationships deserve more attention.

Longer term, success means:

more quality affiliates → more campaign volume → better publisher retention → better margins → more revenue.

This is a revenue-producing position, so strong performance will be noticeable and rewarded.

Location

Fully remote.

We care primarily about performance, responsiveness, and your ability to work effectively with partners and the rest of the team.

Position Overview

We are seeking a versatile Senior Full Stack & AI Agent Developer to architect, build, and

maintain end-to-end software solutions spanning web platforms, desktop applications, and

autonomous AI agents capable of interacting with and controlling these software systems.

The ideal candidate will bridge traditional engineering software with cutting-edge artificial

intelligence to automate data processing and enhance operational decision-making. While

not strictly required, a background or strong interest in the energy sector—specifically

drilling and completion operations—is highly desirable.

Key Responsibilities

• Full Stack Development: Design, develop, and deploy robust web applications and

native desktop software utilized by engineering and operational teams.

• AI Agent Engineering: Build, train, and integrate autonomous AI agents and LLM-

driven workflows capable of interpreting data, executing commands, and safely

controlling desktop and web-based software.

• Workflow Automation: Translate complex workflows into intuitive software features

and autonomous agent actions, minimizing manual data entry and operational

bottlenecks.

• Data Integration: Handle high-frequency data streams and integrate them seamlessly

into user interfaces and backend AI models.

• Architecture & Scalability: Ensure high performance, security, and scalability across

cloud infrastructure (AWS/Azure), local desktop environments, and potential edge

computing setups.

• Cross-Functional Collaboration: Work closely with domain experts and end-users to

translate field challenges into technical product requirements.

Required Qualifications & Experience

• Experience: Minimum of 5 years of professional software development experience,

with a proven track record of delivering production-ready web and desktop

applications.

• Programming Languages: Strong proficiency in Python, JavaScript/TypeScript, and at

least one compiled language (C#, C++, or Java).• Web & Desktop Frameworks: Hands-on experience with modern frontend

frameworks (React, Angular, or Vue.js), Node.js, and desktop application development

(Electron, WPF, Qt, or Tauri).

• AI & Agent Tooling: Demonstrated experience building AI agents using LLM APIs

(OpenAI, Anthropic), open-source models (Hugging Face), LangChain, LlamaIndex,

AutoGPT, or custom agent architectures.

• Automation & UI Control: Expertise in software control mechanisms using tools like

Selenium, Playwright, PyAutoGUI, Appium, or computer vision-based GUI automation to

allow AI agents to navigate software.

• Cloud, DevOps & Databases: Experience with Git, Docker, CI/CD pipelines, cloud

platforms (AWS/Azure/GCP), RESTful APIs, GraphQL, and relational/NoSQL databases.

Preferred Qualifications (Strong Plus)

• Industry Domain Expertise: Prior hands-on development experience within the oil and

gas sector, specifically focused on drilling, completions, rig operations, or subsurface

engineering software.

• Data & Protocols: Familiarity with oilfield data standards (e.g., WITSML, OPC-UA) and

time-series databases.

• Experience deploying AI models and agents in edge or low-connectivity environments

(such as offshore rigs or remote drilling sites).

• Familiarity with safety-critical software design and cybersecurity standards in

industrial control systems (ICS/SCADA).

• Degree in Computer Science, Software Engineering, Petroleum Engineering, or a related technical discipline.

Responsibilities

 Define and maintain EDI communications & design, ensuring the architecture

supports global scalability and high availability across all business units.

 Lead the end-to-end design and deployment of complex EDI integrations using

Oracle EDI modules, Oracle integration cloud (OIC) and Cleo Integration Cloud

(CIC).

 Manage and optimize communication protocols (AS2, SFTP, HTTPS, API) and

oversee the onboarding of new trading partners (customers and suppliers).

 Collaborate with IT developers and ERP specialists to integrate EDI workflows

with ERPs like Oracle, ensuring data integrity across the transactions.

 Oversee the creation and maintenance of complex EDI maps (X12, EDIFACT)

and translation rules to meet diverse partner requirements.

 Conduct thorough analysis of existing EDI processes to identify latencies or

manual touchpoints, implementing automated solutions to improve operational

efficiency.

 Lead the development of comprehensive test plans and coordinate User

Acceptance Testing (UAT) for all new partner integrations or system upgrades.

 Provide Tier 3 technical support for EDI failures and mentor junior

analysts/developers on EDI best practices and standards.

Personal Characteristics

 Exceptional ability to troubleshoot complex integration failures and design long-

term architectural fixes rather than temporary patches.

 Advanced ability to translate technical EDI concepts into business language for

stakeholders and executives.

 Proven track record of building trusting relationships with cross-functional teams,

including Supply Chain, Finance, and IT.

 Ability to work with a high degree of accuracy, specifically regarding data

mapping and compliance with global messaging standards.

 Self-motivated individual who thrives on autonomy and takes ownership of the

entire B2B integration lifecycle.

 Comfortable working in a fast-paced EMS environment with shifting priorities and

diverse customer requirements.

Qualifications & Skills

 Bachelor’s degree in computer science, Information Technology, Engineering, or

equivalent experience in related field.

 5+ years of experience in EDI architecture and development.

 Extensive hands-on experience with Oracle EDI/E-Business Suite and Cleo

(CIC) is preferred.

 Deep knowledge of EDI standards (ANSI X12, EDIFACT) and communication

protocols (AS2, FTP/S, API).

 Prior experience in the EMS (Electronics Manufacturing Services) or High-Tech

Manufacturing industry is a must.

 Strong grasp of supply chain business processes, including Demand Planning,

Manufacturing Operations, and Intercompany transactions.

 Familiarity with SQL, XML, and JSON; experience with ERP-integrated EDI is

essential.

 Understanding of secure data transmission standards and B2B security best

practices.

We value diversity in our workplace and we are committed to Employment Equity. We

welcome & encourage applications from all qualified candidates.

Role: Principal AI Architect — Multimodal Video Intelligence

Location: India Remote, with overlap with Singapore working hours

Employment Type: Full-time

Reporting to: Founder / CEO

Function: AI Architecture, Multimodal AI, Video Intelligence, Media Representation

About the Client

The client is building an AI-native media intelligence platform that transforms long-form video into structured, searchable, reusable and monetisable media intelligence.

The platform is not simply a video-clipping tool. We are developing a persistent intelligence layer for media, where video, audio, speech, text, objects, scenes, events, entities, emotions, narrative arcs and commercial signals are processed into a reusable representation that can support multiple downstream use cases, including:

• short-form clip generation;
• semantic search;
• scene and narrative understanding;
• contextual advertising;
• shoppable video;
• creator and content analytics;
• automated editing workflows;
• future media-intelligence APIs.

We are looking for a Principal AI Architect who can define and guide the AI architecture behind this platform.

Role Summary

The Principal AI Architect — Multimodal Video Intelligence will own the technical architecture for AI systems, including multimodal video understanding, persistent media representation, model orchestration, evaluation frameworks, and production AI design.

This is a hands-on architecture role. The ideal candidate can move between research papers, model selection, system design, data schemas, prototype review, engineering trade-offs, and implementation guidance.

You will work closely with the Founder / CEO, senior AI engineers, computer vision engineers, backend engineers and external vendors to convert the product and IP vision into a robust technical system.

Key Responsibilities

1. AI System Architecture

• Define the end-to-end AI architecture for long-form video understanding.
• Design the processing pipeline from video ingest to structured media intelligence.
• Define how vision, audio, speech, text, metadata and user signals should be fused.
• Design the architecture for reusable media intelligence rather than one-time clip generation.
• Ensure the system can support multiple downstream applications from the same processed media layer.

2. Persistent Media Representation

• Design persistent media representation layer across multiple levels, including frame, object, shot, scene, segment, entity, event and full-video levels.
• Define what intelligence must be stored permanently versus computed on demand.
• Design schemas for temporal, spatial, semantic, narrative and commercial metadata.
• Define provenance, confidence, model versioning and evidence-tracking requirements.
• Ensure the representation remains usable even when underlying AI models are replaced or upgraded.

3. Multimodal Model Strategy

• Select and evaluate appropriate models for video, image, audio, speech, OCR, entity extraction, scene understanding, action recognition, embeddings, reranking and LLM/VLM reasoning.
• Decide where to use open-source models, commercial APIs, fine-tuning or custom models.
• Define model interfaces so models can be swapped without breaking downstream systems.
• Guide model benchmarking for accuracy, latency, cost and scalability.
• Prevent over-dependence on any single model vendor or API.

4. Temporal and Narrative Intelligence

• Design approaches for understanding long-form video structure, including scenes, events, story arcs, character/entity continuity and engagement peaks.
• Define methods to identify clip-worthy moments across different content types.
• Support narrative scoring, highlight ranking, scene segmentation and coherence validation.
• Ensure that clips are not only visually interesting but contextually and narratively coherent.

5. Evaluation and Benchmarking

• Define objective evaluation frameworks for AI outputs.
• Build or guide creation of benchmark datasets and UAT criteria.
• Define metrics for clip quality, scene accuracy, entity continuity, timestamp alignment, hallucination control, ranking quality, retrieval precision and cost efficiency.
• Establish model and prompt evaluation processes.
• Create regression-testing methodology when models, prompts, schemas or scoring logic change.

6. Search, Retrieval and Knowledge Layer

• Design hybrid search architecture across transcript, visual events, metadata, embeddings and structured knowledge.
• Define when to use relational storage, vector databases, graph databases and object storage.
• Design queryable media intelligence for downstream APIs and applications.
• Support knowledge-graph or ontology-based representation where useful.
• Ensure retrieved outputs are evidence-backed and timestamp-grounded.

7. Production AI Architecture

• Work with AI engineers to convert architecture into deployable services.
• Guide decisions on batching, GPU inference, model serving, queues, retries, observability and cost controls.
• Review pipeline designs involving FFmpeg, GStreamer, DeepStream, TensorRT, Triton, ONNX, cloud services and model APIs.
• Define failure-handling, reprocessing, versioning and rollback mechanisms.
• Support scalable design without premature overengineering.

8. IP and Technical Differentiation

• Help translate AI architecture into defensible technical differentiation.
• Support patent-related technical disclosures where required.
• Identify what is proprietary versus commodity.
• Avoid building a generic wrapper over existing models.
• Ensure the architecture reinforces the core thesis of persistent, reusable media intelligence.

9. Team Guidance

• Provide technical direction to senior AI engineers and computer vision engineers.
• Review designs, experiments, evaluation results and architecture decisions.
• Mentor engineers without becoming a pure people manager.
• Help define technical milestones for the first 90, 180 and 365 days.
• Support hiring, technical interviews and vendor evaluation where needed.

Required Experience

The ideal candidate should have:

• 8+ years of AI/ML experience, with significant exposure to computer vision, video AI, multimodal AI, retrieval systems or production ML architecture.
• Strong experience designing AI systems, not only implementing isolated models.
• Hands-on experience with video understanding, temporal modelling, multimodal pipelines, VLMs, LLMs, embeddings, ranking or retrieval.
• Experience taking AI systems from prototype to production.
• Strong knowledge of Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face or equivalent.
• Experience with model evaluation, benchmarking, error analysis and dataset design.
• Understanding of production architecture: APIs, queues, databases, cloud, model serving, observability and deployment trade-offs.
• Ability to work with founders and engineers in a high-ambiguity startup environment.

Strongly Preferred Experience

• Video understanding, action recognition, scene segmentation, event detection or video retrieval.
• Multimodal AI involving video, audio, speech, text and metadata.
• LLM/VLM orchestration for structured outputs.
• Prompt/version management, schema validation and hallucination control.
• Embedding search, vector databases, reranking and retrieval evaluation.
• Knowledge graphs, ontologies, entity resolution or temporal knowledge representation.
• Model serving using TensorRT, Triton, ONNX, vLLM, DeepStream or similar.
• Experience with long-form video, OTT, sports media, entertainment, creator platforms, advertising technology or social commerce.
• Experience contributing to patents, technical disclosures or investor diligence.

Technical Areas

The candidate should be comfortable discussing and making architecture decisions across:

• Computer vision;
• video AI;
• multimodal fusion;
• speech-to-text;
• OCR;
• image/video embeddings;
• VLMs and LLMs;
• semantic search;
• vector databases;
• graph databases;
• temporal reasoning;
• ranking and scoring systems;
• prompt orchestration;
• model evaluation;
• model versioning;
• data lineage;
• GPU inference;
• cloud AI deployment.

What This Role Is Not

This is not a role for someone who has only built:

• chatbots;
• basic RAG demos;
• LangChain prototypes;
• prompt-engineering workflows;
• simple OpenAI/Gemini API wrappers;
• dashboards over model outputs;
• classical computer vision demos without production architecture;
• MLOps pipelines without AI system-design depth.

The role requires architectural depth in AI systems, not just familiarity with AI tools.

First 90-Day Expectations

First 30 Days

• Review product thesis, patent direction, prototype plans and existing technical assumptions.
• Assess current team capability and architecture gaps.
• Define the first version of AI architecture.
• Identify immediate technical risks and validation priorities.

First 60 Days

• Deliver a detailed architecture document covering media representation, model stack, pipeline design, storage strategy, evaluation framework and implementation roadmap.
• Define the canonical media-intelligence schema.
• Define model-selection and benchmarking criteria.
• Guide senior engineers on first implementation milestones.

First 90 Days

• Help the team implement and validate the first working version of the persistent media-intelligence layer.
• Establish evaluation datasets and UAT metrics.
• Review prototype outputs and improve architecture based on evidence.
• Produce a 6-month AI roadmap with technical risks, milestones and resourcing needs.

Success Metrics

The Principal AI Architect will be successful if:

• They have a clear AI architecture that the engineering team can execute.
• The platform does not collapse into a generic clip-generation pipeline.
• The media representation is reusable across multiple use cases.
• Models, prompts and schemas are versioned and testable.
• AI outputs are measurable through objective benchmarks.
• Snehashish, Abhishek and other engineers have clear technical direction.
• The architecture supports both product execution and investor/IP defensibility.

Candidate Personality Fit

The right candidate should be:

• intellectually strong but practical;
• hands-on enough to review code and experiments;
• comfortable with ambiguity;
• willing to challenge assumptions with evidence;
• able to simplify complex AI architecture for engineers and investors;
• disciplined about evaluation, cost and production constraints;
• not attached to one model, tool or vendor;
• able to work in a founder-led early-stage startup. 

Role Overview

We are looking for a GCP Data Engineer with 10+ years of experience to design, develop, and optimize scalable cloud-based data solutions. The ideal candidate will have strong hands-on expertise in GCP, BigQuery, and advanced SQL, with experience building data pipelines and working with large-scale datasets.

Key Responsibilities

• Design and develop scalable data pipelines and ETL/ELT processes on GCP.
• Build, optimize, and maintain data solutions using Google BigQuery.
• Develop complex SQL queries for data transformation, aggregation, and analysis.
• Design efficient data models and optimize pipelines for performance, scalability, and cost.
• Integrate data from multiple sources and ensure data quality, reliability, and availability.
• Troubleshoot pipeline and data issues and drive continuous improvement.
• Collaborate with data architects, analysts, application teams, and business stakeholders.
• Follow best practices for cloud security, data governance, testing, and documentation.

Required Skills

• 8+ years of Data Engineering experience
• Strong hands-on experience with GCP, Django, and MongoDB
• Extensive experience with BigQuery
• Advanced SQL skills
• Strong understanding of ETL/ELT and data pipeline development
• Data modeling and data warehousing experience
• Experience handling large-scale datasets and performance optimization
• Strong problem-solving and communication skills

Good to Have

• GCP services such as Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, or Cloud Functions
• Python or other data engineering languages
• Experience with data governance and security
• Agile development experience

Job Description

This is a remote position.

Experience Level

We're looking for a seasoned Product Owner with at least 2–4 years of experience owning a product backlog end-to-end within an Agile delivery environment. You should be a "delivery craftsperson" who can demonstrate a track record of turning ambiguous, cross-team requirements into shipped, working software — with particular comfort operating inside platforms where your product's success depends on coordination with teams you don't manage.

Role Overview

As a Product Owner, you will own the backlog and delivery cadence for one product within a tightly interconnected platform, where your product's roadmap depends on — and feeds into — several sibling products. You'll act as the point of alignment between engineering teams, supporting product managers, and client stakeholders, translating business and compliance needs into backlog items ready for a development team to execute against.

A key part of the role is holding the line on requirements quality: defining clear acceptance criteria before work enters a sprint, and sequencing competing demands — new features, maintenance of live services, and production support — that your team carries simultaneously. Because your product does not operate in isolation, a large part of the job is coordinating dependencies across teams that don't report to you.

Key Responsibilities

• Backlog Ownership & Requirements Definition: Own and prioritize the product backlog; define acceptance criteria for accuracy, completeness, and readiness before stories are marked sprint-ready.
• Cross-Team Dependency Coordination: Sequence and negotiate delivery across multiple dependent engineering teams (platform, integration, infrastructure, and adjacent product teams), since most features require multi-team scheduling rather than single-team execution.
• Delivery Prioritization Under Competing Demands: Balance new feature development, maintenance of live production services, and active production support within the same backlog, without letting one silently starve the others.
• Domain Ramp-Up: Build working depth in the specific technical and regulatory domain tied to your assigned product — this may include healthcare EDI transaction standards, web-automation/data-extraction reliability, credential and access-security models, or regulated payments and remittance processing, depending on placement.
• Stakeholder & Requirements Governance: Partner with the supporting Product Manager and client-side stakeholders to close open requirement decisions before development starts, hold sign-off discipline, and manage rework risk from late-stage scope changes.
• Data & Interface Quality Ownership: Where your product's output feeds downstream systems, own the interface contract (field definitions, data completeness, naming) to prevent avoidable rework further down the chain.

Requirements

What We're Looking For

• Proven Product Ownership Experience: Track record owning a backlog end-to-end in an Agile environment, ideally within a platform where products are tightly coupled rather than independent.
• Domain Adaptability: Comfort ramping quickly into unfamiliar technical or regulatory domains — some assignments require near-immediate fluency (e.g., regulated payments, EDI standards), while others allow for a longer runway.
• Cross-Functional Coordination Skills: Demonstrated ability to sequence work and resolve competing priorities across multiple engineering teams that don't report into the same chain.
• Analytical Rigor: Ability to write precise, testable acceptance criteria and reason through data quality or completeness gaps before they become delivery blockers.
• Strong Stakeholder Communication: Comfortable representing product status and trade-offs to both engineering teams and client-facing stakeholders, in plain, non-technical language when needed.
•  Judgment Under Ambiguity: Able to recognize when a decision needs escalation versus independent ownership — particularly important for the more regulation-heavy assignments, where working without senior support isn't advisable early on.

Benefits

Life at Incubyte 

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

Perks

• Dedicated learning & development budget. 
• Sponsorship for conference talks. 
• Comprehensive medical & term insurance. 
• Employee-friendly leave policies. 
• Home Office fund 
• Medical Insurance

Where You’ll Create Impact

·         Build & Ship: Architect, build, and deploy production-grade iOS and Android features using React Native + TypeScript from scratch to store release.

·         Pipeline Ownership: Own the full release lifecycle using Expo + EAS, managing App Store/Play Store submissions, provisioning, and CI/CD.

·         Craftsmanship: Turn complex Figma designs into ultra-fast, polished components with fluid animations, backed by clean API integrations and rock-solid performance.

·         Systems Thinking: Scale mobile infrastructure to handle heavy data flows, offline sync, and real-time enterprise AI features seamlessly.

What Sets You Up for Success

·         5+ years of hardcore mobile engineering experience (Android/iOS foundation, ideally within high-growth, high-intensity startups).

·         Outlier Agency: High-integrity work ethic, extreme initiative, and zero need for hand-holding.

·         Performance Obsession: Track record of shipping silky-smooth, high-performance apps with complex UI, animations, and tight memory management.

·         Release Mastery: Deep comfort with Figma-to-code workflows and navigating the entire release cycle from local IDE to live store deployments.

·         Quality Mindset: Hands-on experience with unit testing, end-to-end QA pipelines, and production monitoring.

Sales Head

Responsible for developing and executing sales strategies to drive revenue growth, expand market presence, acquire new customers, and strengthen relationships with key accounts. Leads and motivates the sales team to achieve business targets while monitoring sales performance, market trends, customer needs, and competitive activities.

Key Responsibilities:

• Develop and implement sales strategies and business plans.
• Drive revenue, sales growth, and profitability.
• Lead, mentor, and manage the sales team.
• Set sales targets and monitor achievement.
• Identify new markets, customers, and business opportunities.
• Manage key accounts and strengthen customer relationships.
• Develop sales forecasts, budgets, and performance reports.
• Manage sales pipeline, CRM, and conversion activities.
• Negotiate commercial terms and close high-value deals.
• Monitor market trends and competitor activities.
• Develop and manage distribution/channel networks.
• Collaborate with marketing, operations, finance, and senior management.
• Ensure customer satisfaction, retention, and repeat business.
• Analyze sales data and implement corrective actions to improve performance.

We are looking for a senior, hands-on DevOps and Backend Integration Engineer to lead the production deployment and integration of an existing application ecosystem.

The platform currently includes a Flutter mobile application, a Laravel backend and admin panel, Node.js/AdonisJS APIs, a Python recommendation service, Redis, MySQL, Nginx, and AWS S3.

This is not a greenfield development role. The primary objective is to audit the existing system, establish a reliable production infrastructure, integrate all services, migrate traffic safely, and complete the production launch.

Responsibilities

• Audit the existing Hostinger environment, source repositories, application dependencies, database, Redis configuration, and deployment process.

• Design a secure and maintainable production architecture for Laravel, Node.js/AdonisJS, Python, Redis, MySQL, Nginx, AWS S3, and the Flutter application.

• Provision and configure Linux production servers, runtimes, SSH access, environment variables, permissions, SSL, and basic server security.

• Deploy and configure the Laravel application, admin panel, APIs, scheduled tasks, queues, and database connectivity.

• Deploy the Node.js/AdonisJS services with a reliable build, startup, logging, and process-management setup.

• Build a Git-based CI/CD pipeline for staging and production, including secrets management, deployment validation, and basic rollback handling.

• Configure Nginx as a reverse proxy and route traffic between Laravel and Node.js services using API versions and endpoint rules.

• Install and integrate Redis for agreed caching, queue, or session-management requirements.

• Configure AWS S3, IAM permissions, secure file access, and photo-upload integration to replace local server storage.

• Integrate the existing Python recommendation service with the Node.js backend, including timeout, retry, error-handling, and service-health scenarios.

• Support controlled migration of API traffic from Laravel to Node.js while preserving existing API contracts.

• Verify Flutter API compatibility, production environment configuration, authentication flows, media uploads, and backend-related integration issues.

• Conduct end-to-end, regression, and smoke testing across Flutter, Nginx, Laravel, Node.js, Redis, Python, MySQL, and AWS S3.

• Perform production cutover, validation, troubleshooting, and technical handover.

• Deliver clear architecture, deployment, routing, environment, rollback, and operational documentation.

Required Experience

• 5+ years of professional backend, DevOps, infrastructure, or platform-engineering experience.

• Strong hands-on Linux server administration and production deployment experience.

• Proven experience deploying and operating Laravel/PHP and Node.js applications.

• Strong knowledge of Nginx reverse proxy configuration, SSL, upstream services, and API routing.

• Experience creating CI/CD pipelines using GitHub Actions, GitLab CI, Bitbucket Pipelines, or a comparable platform.

• Practical experience with AWS S3, IAM permissions, secure media uploads, and cloud-storage integration.

• Experience with Redis, MySQL, background workers, queues, scheduled jobs, and application caching.

• Experience integrating Python services or machine-learning/recommendation APIs with Node.js applications.

• Good understanding of REST APIs, API versioning, authentication, secrets management, logging, monitoring, backups, and rollback procedures.

• Ability to independently investigate an existing codebase and resolve production integration problems.

• Strong written English and the ability to produce clear technical documentation.

Nice to Have

• Experience with AdonisJS.

• Experience supporting Flutter applications and mobile backend integrations.

• Experience migrating applications from shared hosting or Hostinger to a production cloud server.

• Experience with Google Maps Platform or location-based application services.

• Docker experience is helpful, although Kubernetes is not required.

Expected Deliverables

• Documented production architecture.

• Fully configured production infrastructure.

• Working Laravel, Node.js/AdonisJS, Python, Redis, MySQL, Nginx, and AWS S3 integrations.

• Functional staging and production CI/CD workflows.

• Tested Laravel and Node.js coexistence with controlled API routing.

• Successful end-to-end production deployment.

• Rollback, deployment, configuration, and operational documentation.

Engagement Details

• Contract duration: approximately 4–5 weeks.

• Work arrangement: remote.

• Availability: candidates should be able to begin shortly and provide regular written progress updates.

• The current Node.js APIs and recommendation algorithm already exist. Major new product features, algorithm redesign, extensive Flutter feature development, and database redesign are outside the initial scope.

How to Apply

Please include:

1. Examples of Laravel and Node.js systems you have deployed to production.

2. Details of a CI/CD pipeline and Nginx routing setup you personally implemented.

3. Your experience integrating Redis, AWS S3, and Python services.

Job Title: Full Stack AI Engineer

Location: Remote/Hyderabad

Experience Level: 3-5

Salary Range: 12-18LPA

Application Link:https://beyond.ciltriq.com/apply/BUILD

Description:

Join a team building AI-powered systems that solve complex business problems and automate operational workflows across document processing, voice agents, enterprise integrations, workflow automation, and multi-agent systems.

Strong full-stack foundations: frontend state management, asynchronous user experiences and performance; backend API design, authentication, data modelling, databases, queues and distributed systems.

Strong coding ability in Python and JavaScript or TypeScript, with practical experience in modern frontend frameworks and backend services.

Requirements:

- Design and build complete systems: frontend applications, backend services, APIs, databases, data pipelines and integrations with customer systems.

- Build multi-agent workflows with clear agent responsibilities, tool access, shared state, context management, routing, handoffs and coordination across sequential and parallel tasks.

- Make agent execution dependable through durable state, checkpoints, retries, timeouts, idempotency, recovery and human approval or review where needed.

- Deliver document-processing pipelines, voice agents and retrieval-based AI applications, connecting model outputs to useful actions in real business workflows.

- Own quality in production: automated tests, AI evaluations, guardrails, observability, access controls, deployments, incident response and clear documentation.

- Choose where AI adds value and where deterministic software is the better fit. Balance accuracy, latency, cost, security and maintainability.

- Improve reusable engineering foundations, review code and help other engineers grow as the team expands.

- A solid understanding of tool calling, structured outputs, retrieval, context and memory management, model selection and evaluation.

- Practical cloud and deployment experience, including containers, CI/CD, secrets management, logging, monitoring and production debugging.

- Ability to reason from first principles, investigate failures across system boundaries and communicate technical decisions clearly to customers and teammates.

- Useful additional experience: Document AI and OCR, real-time voice systems, enterprise integrations, agent protocols such as MCP, and orchestration frameworks.

- Useful additional experience: Mentoring engineers or building reusable platforms.

About Us:

CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/

Role :

A Software Engineer who builds the tools this company runs on. You build agent loops, and the loops build the solutions. You work towards a Company Brain that anyone here can ask.3–5 years’ experience · Reports to the CFO · 

THE KEY SKILL

You build the agent loops that build the solutions. You will not write every automation by hand. You build the loops that

write them. Ship a prototype every week. You ship something every day.

You’ll be building a Company Brain with access control. One system that holds what the company knows about finance,delivery and people. Anyone can ask it a question. Each person sees only what they are cleared to see.

One hard filter. If you cannot write and debug production code, and have not done it before, please do not apply.

CORE RESPONSIBILITIES

• Work the backlog: You pick items off a live, ranked backlog. You learn each function by building inside it. There is no discovery phase. What you learn goes back into the backlog and changes what comes next.

• Build the product: You design, build and ship tools that people use every day. Reconciliation, MIS, the deal desk,quote to cash, or whatever the real bottleneck turns out to be. You choose the tools and frameworks.

• Wire the data: Connect the systems each team already uses, so that the same number means the same thing everywhere.

• Make it visible: You build live dashboards and alerts that leaders read on their own, instead of asking someone for a report.

• Keep it running: You own uptime and accuracy for everything you build. Anything that touches money or people needs a person in the loop.

THE STACK

• Build with: Python and TypeScript. You write production code. Frontier model APIs from Anthropic, OpenAI or Google, with tool calling and structured output. At least one agent framework. MCP to connect agents to internal systems.Postgres and pgvector, or something similar, for retrieval. You deploy on GCP, and you debug your own work.

• Work in agents daily: Claude Code, Cursor or something like them, as the way you write code every day. You should have a clear view on how to run the loop, and on when a person has to step in.

• Connect to: The systems we already run on for accounting, CRM, hiring and IT support, along with Google Workspace.Most of the work is getting them to agree with each other.

• Check what you ship: Anything that produces a number needs a way to catch it going quietly wrong. Test sets, regression checks, and alerts on the output as well as on the job.

WHAT GOOD LOOKS LIKE

• Something you built is running by week two, and someone is using it.

• By day 90, time spent on reconciliation or reporting is down by a number you can defend to the CFO.

• Every tool you ship has a named owner who is still using it 60 days later. That is the measure that counts.

• Leaders stop asking for numbers, because they can already see them.

• By the end of your first year, a first version of the Company Brain answers real questions about Finance, and each

person who asks sees only what they are cleared to see.

WHO THIS IS FOR

• You have built products: 3 to 5 years at a software product company, on a product with real users at scale. That means 100k+ monthly active users, or heavy daily use by a large enterprise customer base. You have owned code in production, in front of real users, long after it shipped.

• You ship alone: You are comfortable as the only engineer in the room, and the only person on call for what you built.

• You work out new ground fast: A domain you do not know is interesting to you. You start without waiting for a spec or an expert.

• You are fluent with agents: One person cannot cover a whole company by hand. You use agent loops heavily and youare good at it.

• You write and speak clearly: Half this job is pulling a process out of a finance or delivery lead and giving it back to them correctly. You work remotely, so this matters a great deal.

HOW WE WILL ASSESS

• A design problem: Live. We give you a function of the B2B company, and you design the system for it. We watch how you break down a domain you do not know, how you size it, and what you leave out on purpose.

• A build exercise: Live and screen-shared, on your own setup, with your own agents. You build the way you normally build. We watch how you run the loop, when you step in, and what you decide to skip.

• Your work and your questions: We talk about what you have shipped before. You ask us whatever you want.

Communication is not a separate round. All three sessions are live, and how clearly you explain your thinking is part of how we judge you.

WHERE IT LEADS

You report to the CEO and CFO from your first day. Your charter covers the whole company. Nothing sits between you and production. Very few engineering jobs offer all three at once, and that is why this one exists.

In 18 months you will know how this company really runs: the data, the money, and the gaps between teams. The rolethen changes shape to fit whatever the biggest open problem is by then.

Job Description

Job Title: Sales Representative – IT / B2B SaaS

Location: Mumbai, India (Hybrid / On-site)

Employment Type: Full-time

Experience Level: 3+ Years

Department: Sales & Business Development

About the Role

We are seeking an ambitious, results-driven Sales Representative with a proven track record in B2B IT / SaaS Sales to join our team in Mumbai. In this role, you will manage end-to-end sales cycles — driving outbound prospecting, qualifying inbound leads, conducting product demonstrations, and closing deals. If you are proactive, thrive in a target-driven environment, and excel at translating technical value into clear business ROI for decision-makers, we'd love to connect.

This role requires hands-on field sales experience — you should be comfortable meeting clients in person, conducting on-site visits, and closing deals face-to-face in addition to remote/virtual selling.

Key Responsibilities

• Pipeline Generation & Prospecting: Execute strategic outbound outreach (cold emailing, LinkedIn networking, cold calling, and in-person field visits) targeting mid-market and enterprise decision-makers (CTOs, CIOs, Heads of Sales/Marketing, Founders).
• Inbound Lead Conversion: Promptly engage, qualify, and convert marketing-generated inbound leads into active sales opportunities.
• Product Discovery & Demo: Conduct consultative discovery calls and on-site/in-person product walkthroughs to identify prospect pain points and deliver tailored demos.
• Field Sales & Client Visits: Travel for client meetings, site visits, and relationship-building activities within Mumbai and surrounding regions as required.
• Negotiation & Closing: Build commercial proposals, lead contract negotiations, manage objection handling, and consistently close deals to meet/exceed quarterly quota targets.
• CRM & Pipeline Hygiene: Maintain accurate and up-to-date records of all deals, activities, and forecasts in the CRM (e.g., HubSpot / Salesforce).
• Market Feedback: Work closely with Marketing and Product teams to share customer feedback, competitive insights, and market trends.

Key Qualifications & Skills

• Education: B.Tech / B.E. graduate is mandatory. (A technical/engineering background helps in translating product capability into client-facing business value.)
• Experience: Minimum 3+ years of direct selling experience in B2B Tech / IT Services / SaaS, with demonstrated field sales exposure (on-site client visits, in-person demos/negotiations — not purely remote/inside sales).
• Proven Track Record: Demonstrated history of consistently meeting or exceeding individual sales quotas and pipeline generation targets.
• Sales Acumen: Strong grasp of consultative and solution-selling methodologies (e.g., MEDDPICC, BANT, SPIN).
• Communication: Exceptional verbal, written, presentation, and active listening skills.
• Mindset: Highly self-motivated, resilient, comfortable with ambiguity, willing to travel locally for client meetings, and able to work independently.
• Location: Based in or willing to relocate to Mumbai.

About Reconect.ai

Reconect.ai is an AI-powered customer engagement and debt collection platform helping lenders, NBFCs and fintech companies automate customer interactions through conversational AI.

Our AI agents enable enterprises to automate use cases across collections, customer support, lead qualification and customer engagement using voice and digital channels.

Role Overview

We are looking for a Sales Associate who is driven, curious and comfortable with outbound sales. You will work closely with the leadership and sales team to identify potential customers, initiate conversations with decision-makers and build a strong sales pipeline.

This is a high-ownership role where you will get exposure to B2B SaaS sales, Conversational AI, FinTech and enterprise sales.

Key Responsibilities

• Identify and research potential customers across NBFCs, banks, fintechs and lending companies
• Build and maintain a strong prospect pipeline through outbound channels
• Conduct prospecting through LinkedIn, email, calls and other channels
• Connect with CXOs, business heads, collections heads, customer experience teams and other relevant decision-makers
• Understand prospect requirements and identify relevant use cases for Reconect.ai
• Schedule product demos and meetings for the sales team
• Follow up consistently with prospects and move opportunities through the sales funnel
• Maintain accurate prospect and activity information in CRM
• Work closely with the sales and leadership team on account research, proposals and follow-ups
• Track outreach metrics and continuously improve conversion rates
• Stay updated on Gen AI, Conversational AI, FinTech and lending industry trends

What We’re Looking For

• 1–3 years of experience in B2B sales, inside sales, business development or SaaS sales
• Strong communication and interpersonal skills
• Comfortable with cold calling, LinkedIn outreach and email prospecting
• Ability to speak confidently with senior stakeholders
• Strong research and prospecting skills
• Highly driven and comfortable working with targets
• Good follow-up and relationship-building skills
• Ability to understand technology products and explain their business value
• Experience selling SaaS, FinTech, Gen AI or enterprise technology will be an advantage

What You’ll Get

• Opportunity to work closely with the founding team
• Exposure to AI, SaaS and FinTech
• Hands-on experience in enterprise sales and GTM
• High ownership and fast career growth
• Opportunity to work with leading lending and financial services companies
• Performance-driven compensation and incentives

Ideal Candidate

You should be someone who enjoys talking to people, opening new conversations and converting prospects into opportunities. If you are hungry to learn, comfortable with targets and excited about selling AI products, this role is for you.

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

 We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

 We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

 We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

 We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

This is a remote position.

Experience Level

This role is ideal for engineers with 3–6 years of experience and a strong background in building scalable, production-grade software systems.

We are looking for hands-on Software Engineers with deep expertise in Python and TypeScript, with exposure to AI/LLM systems and modern infrastructure tooling.

What You’ll Do as a Software Craftsperson

•     Take full ownership of the software development lifecycle for complex, cross-functional initiatives — from design through production readiness.

•     Build and maintain robust, scalable backend systems and APIs using Python and TypeScript, following clean code and software craftsmanship principles.

•     Design and deliver features end-to-end, balancing scope, quality, and long-term maintainability.

•     Identify technical and product issues beyond the immediate scope of work, proactively raising risks and driving solutions.

•     Shape team practices around code quality, testing, tooling, and continuous improvement using DevEx and DORA principles.

•     Collaborate closely with clients and internal teams to understand requirements, clarify priorities, and align on outcomes.

•     Mentor and guide fellow engineers to raise overall team performance and promote a culture of learning.

•     Leverage AI tools (LLMs, agentic frameworks, etc.) to accelerate design, development, testing, and delivery where applicable.

Requirements

What You’ll Bring

3–6 years of overall software engineering experience with a strong track record of owning and delivering complex production systems.

Must-Have Skills

•     Python (must-have): Deep expertise in writing idiomatic, testable, production-grade Python — including advanced OOP, data structures, algorithms, and software engineering best practices.

•     TypeScript (must-have): Strong proficiency in building and maintaining type-safe, scalable applications across frontend and/or backend TypeScript codebases.

•     Strong system design skills: ability to architect scalable, maintainable, and observable systems with a focus on reliability and long-term operability.

•     Solid engineering practices: experience with TDD, CI/CD, code reviews, refactoring, and continuous deployment in Agile or eXtreme Programming environments.

•     Working knowledge of relational databases, web server ecosystems, REST/gRPC APIs, and performance optimisation.

•     Experience with source control, bug tracking, user story writing, and maintaining clear technical documentation.

Good-to-Have Skills

•     AI / LLM experience: hands-on exposure to building applications using LLMs (GPT, Claude, Gemini, or similar) for tasks such as document classification, entity extraction, or structured data generation.

•     LLM orchestration frameworks: familiarity with LangChain, LlamaIndex, Mastra, Agno, or similar agentic frameworks.

•     Prompt engineering: experience refining prompts and orchestration patterns to improve response accuracy, consistency, and structured outputs.

•     Vector databases and observability tooling: exposure to tools like Pinecone, PgVector, Qdrant, LangSmith, or DeepEval.

•     Container orchestration and infrastructure-as-code: experience with Kubernetes, Terraform, and Docker for deploying and managing production workloads.

Benefits

Life at Incubyte

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat — with all travel expenses covered.

Our environment is built for crafters: experimenting with real-world systems, solving complex infrastructure challenges, and contributing to cutting-edge AI initiatives. We are all lifelong learners, and our work is our passion.

Perks

•     Dedicated learning & development budget

•     Sponsorship for conference talks

•     Comprehensive medical & term insurance

•     Employee-friendly leave policies

•     Home Office fund

•     Medical Insurance

Job Description:

We are looking for an experienced Oracle Field Service Management Consultant with a strong background in Supply Chain Management (SCM) and hands-on experience delivering Oracle Field Service Management implementations.

Key Requirements:

• 6+ years of overall experience inSupply Chain Management (SCM).
• Hands-on experience withOracle Field Service Management.
• Experience working onat least 2 Oracle Field Service Management projects.
• Strong understanding of SCM processes and business requirements.
• Experience in implementation, configuration, testing, and support activities.
• Strong communication and stakeholder management skills.

Full Stack Developer — Node.js & React

Experience: 4-5 years

Employment Type: Permanent, Full-time

Desired Skill: Node, React, AWS, Typescript, GraphQL APIs

Work Mode: Remote

Availability: Immediate Joiners

We are looking for a Full Stack Developer to implement functional features and resolve production support and on-call tickets. You will build GraphQL APIs, UI screens, and integrations based on defined requirements and designs.

Responsibilities

• Develop and maintain features using Node.js, TypeScript, React, and Next.js.
• Build GraphQL APIs, database integrations, and backend workflows.
• Investigate support issues, identify root causes, and deliver reliable fixes.
• Write automated tests and collaborate with product, design, and engineering teams.

Required skills

• Strong experience with Node.js, Express, TypeScript, React, GraphQL, and PostgreSQL.
• Strong analytical, troubleshooting, and debugging skills across frontend and backend systems.
• Familiarity with automated testing and AWS environments.

Our stack

React SPA (Vite), Next.js, MUI, React Router, urql, tRPC; PostGraphile, slonik, graphile-worker, Temporal; PostgreSQL and DynamoDB; Storybook, Vitest, Cypress; AWS and Terraform.

• SharePoint 2019 solutions – Knowledge
• Out Systems applications
• .NET applications -Mandatory
• SQL Server databases
• Windows Server and IIS deployments- Mandatory 
• Application troubleshooting and production support -Mandatory
• Security vulnerability remediation
• SonarQube code quality analysis -Mandatory
• Release deployment validation and technical troubleshooting -Mandato

Job Title: Technical Delivery lead – Full stack

Experience:

·       12+ years overall

·       5+ years as Technical Delivery lead

Position Summary

We are looking for an experienced Technical Delivery Lead with 12+ years of software development experience to lead the design, development, integration, deployment, and support of enterprise digital solutions. The ideal candidate should have strong hands-on technical expertise and be capable of actively contributing to development by designing and implementing complex features, integrations, and critical business functionalities while leading the cross-function team.

Key Responsibilities

Technical Leadership

·      Lead end-to-end application delivery from requirements gathering through production deployment.

·      Define solution architecture, technical standards, and development best practices.

·      Conduct design reviews, code reviews, and technical discussions.

·      Mentor development teams and provide technical guidance.

·      Collaborate with business stakeholders, architects, product owners, and project managers.

Hands-on Development

·      Actively participate in application development and contribute code for complex and critical features.

·      Design and implement scalable solutions for high-priority business requirements.

·      Lead troubleshooting and resolution of complex technical and production issues.

·      Review and optimize application performance, security, and scalability.

·      Support development teams in resolving technical blockers and challenges.

Required Technical Skills

·      Sitecore XP/XM

·      OutSystems

·      Node.js, .NET Core, ASP.NET MVC, C#, Java

·      React.js, JavaScript, TypeScript

·      REST APIs, Microservices Architecture

·      SQL Server, Oracle, MySQL

·      Azure/AWS, CI/CD, Docker, Jenkins, Git

Candidate Profile

·      12+ years of software development experience.

·      5+ years of experience as Technical Delivery Lead or Solution Lead.

·      Strong hands-on coding experience with the ability to independently deliver complex technical solutions.

·      Experience leading Agile teams and managing end-to-end delivery.

·      Excellent stakeholder management and communication skills.

Key Phrase

Hands-on Technical delivery Lead who is expected to contribute 30-40% of the time in coding based on the availability, solution implementation, code reviews, and complex technical problem-solving.