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Digital Marketing & Content Creator

Company: Sisuni Technology Pvt Ltd

Department: Marketing & Creative

Role: Digital Marketing & Content Creator

Experience: 2–5 years preferred

Employment: Full-time / Remote

Role Overview

Sisuni Technology Pvt Ltd is looking for a creative and performance-focused Digital Marketing & Content Creator to build our online presence, generate leads, create engaging content, and support business growth.

The ideal candidate should be able to handle both digital marketing execution and content production, rather than focusing only on social media posting.

Key Responsibilities

1. Digital Marketing

• Develop and execute digital marketing campaigns.
• Manage Instagram, Facebook, LinkedIn, YouTube and other relevant platforms.
• Plan and optimize Google Ads and Meta Ads campaigns.
• Conduct SEO and keyword research.
• Generate qualified leads through digital channels.
• Monitor campaign performance and improve ROI.
• Conduct competitor and market research.
• Prepare weekly and monthly marketing reports.

2. Content Creation

• Create social media posts, carousels and promotional creatives.
• Develop Reels, Shorts and other short-form video content.
• Write captions, advertising copy, blogs and website content.
• Create content calendars and campaign concepts.
• Edit videos and basic graphics.
• Maintain consistent company branding across platforms.
• Use Canva, Adobe or equivalent creative tools.

3. AI & Modern Marketing Tools

• Use AI tools responsibly for content ideas, copywriting and research.
• Use AI-assisted image/video creation where appropriate.
• Research emerging digital marketing trends and tools.
• Improve productivity through marketing automation.

4. Analytics & Growth

• Track reach, engagement, leads, conversions and campaign costs.
• Use Google Analytics and platform analytics.
• Identify high-performing content and campaigns.
• Recommend improvements based on data.
• Maintain a clear record of marketing activities and results.

Required Skills

Must-have:

• Digital marketing
• Social media marketing
• Content creation
• Copywriting
• Video editing
• Canva / Adobe
• SEO fundamentals
• Google Ads
• Meta Ads
• Lead generation
• Analytics and reporting
• Excellent creativity and communication

Good to have:

• WordPress/CMS
• Email marketing
• CRM knowledge
• Marketing automation
• YouTube growth
• LinkedIn B2B marketing
• Basic photography
• AI content tools

Key Performance Indicators (KPIs)

The employee will be evaluated based on measurable results, including:

• Qualified leads generated
• Social media growth
• Engagement rate
• Website traffic
• Content output and consistency
• Advertising performance
• Cost per lead
• Conversion rate
• SEO improvement
• Campaign ROI
• Quality and creativity of content
• Timely completion of marketing tasks

Candidate Practical Test

Candidates should complete a practical assignment before final selection.

Test: 7-Day Digital Marketing Campaign

Prepare a campaign for Sisuni Technology Pvt Ltd containing:

1. 3 social media posts
2. 2 Reel/Shorts concepts
3. 7-day content calendar
4. 3 advertising captions
5. Target audience definition
6. Basic Meta or Google Ads strategy
7. 10 relevant keywords/hashtags
8. One promotional creative
9. One short video/Reel
10. Expected KPIs and measurement method

Candidate Evaluation

Area

Weight

Digital marketing knowledge

20%

Content creativity

20%

Video/creative skills

15%

Advertising knowledge

15%

SEO knowledge

10%

Analytics & KPI understanding

10%

Communication & presentation

10%

Total

100%

Recommended Hiring Standard

Junior: 0–2 years

Focus on execution, content creation and social media.

Mid-Level: 2–5 years

Should independently manage campaigns, content, ads, SEO and reporting.

Senior: 5+ years

Should be capable of developing the overall marketing strategy, managing budgets, generating leads and mentoring junior team members.

Ideal Candidate

The strongest candidate for Sisuni Technology Pvt Ltd should be a hybrid digital marketer + content creator who can:

Plan → Create → Publish → Advertise → Analyze → Improve → Generate Leads

A candidate who only knows how to make social media posts should not be treated as a complete Digital Marketing & Content Creator.

📌 Process: US LLS (Language Interpreter)

📍 Location: Remote (India-wide)  

🖥 Role: Full-Time | Permanent WFH  

Do you have access to candidates fluent in French (B2+), with solid English communication? Let’s work together to deliver impactful remote opportunities and grow your candidate network!

👤 Candidate Profile Required

- Fluent in English + One of the following: French (B2+) or Gujarati or Nepali or Urdu or Punjabi or Hindi

- Fresher or experienced  

- Graduate/Undergraduate  

- Age limit: up to 40 years  

- Must own a device (smartphone, laptop/desktop) and have WiFi access  

💼 Why Support This Role?

- ✅ Permanent Work From Home  

- ✅ Company-provided system  

- ✅ Transparent salaries:  

• French (B2+): Up to ₹10 LPA 

Gujarati / Nepali / Punjabi: upto 5.4 LPA

Hindi / Urdu: 4.2 LPA

- ✅ Pan India accessibility  

- ✅ No certification needed — just strong language skills!

📝 Screening Workflow

1. HR Round  

2. AMCAT Assessment (English 70 + Chosen Language) 3+ 

3 OPS round

Procedure is hiring for WorkHero.

WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. Small contractors are great at their trade but lose 20+ hours a week to invoicing, permits, scheduling, and paperwork. WorkHero combines expert office managers with automation and AI tooling, enabling a small team to take real ownership of that back-office work

We’re hiring a senior engineer to own our real-time voice stack end to end—AI agents operating on live phone calls—and the data platform that turns those calls into insight: call → transcript → events → warehouse → dashboards. You’ll own meaningful systems end to end alongside a small, senior team with deep experience in AI, product, and the trades.

What you’ll build

• New product screens and flows (jobs, customers, invoices, scheduling) in React and React Native, especially AI chat UI (chat & tool result rendering, streaming responses, human review and feedback loops)
• AI workflows in production: tool-using agents, RAG/search, classification/extraction, and human-in-the-loop flows
• Automations: Contribute new features and improvements to our AI-powered business automation platform

In addition, you’ll own our first investments into a realtime voice stack and the call-data platform behind it. For example:

• Realtime voice agents on live phone calls: telephony/WebRTC integration, streaming speech-to-text and text-to-speech, turn-taking, interruption handling, and latency optimization
• Voice pipeline reliability: backpressure, failover, graceful degradation, and monitoring for live calls
• Call-data pipeline: transcripts, events, and structured extraction flowing from every call into the warehouse
• Analytics & dashboards: data modeling and conversation-intelligence features on top of call data
• Evals & monitoring for voice agents: quality metrics, drift detection, and cost/latency tracking
• Cloud infrastructure: scaling our platform with infrastructure as code, queues and orchestration, and CI/CD

Responsibilities

• Analyze requirements and propose innovative AI-native solutions to technical problems
• Write clean scalable code
• Own the voice and data stack end-to-end: design, build, test, deploy, and operate
• Optimize the performance, latency, and cost of our real-time AI systems
• Respond to critical system issues and ensure continuous system reliability
• Mentor team members and collaborate across teams, especially with product and subject matter experts
• Work to understand the needs of our users and think creatively about how to solve design challenges in your work
• This is a Remote role. We expect a minimum 4 hours overlap with the WorkHero team (11 AM - 3 PM ET).

Qualifications

• Senior-level backend experience (typically 5+ years) shipping production systems that you've owned
• Hands-on experience with realtime voice or streaming systems: telephony (SIP/Twilio), WebRTC, streaming STT/TTS, or frameworks like LiveKit or Pipecat — or comparable experience with demanding realtime/streaming infrastructure
• Data engineering fundamentals: event pipelines, data modeling, warehousing, and analytics on production data
• Strong proficiency in a typed backend language (TypeScript preferred; comparable experience welcome)
• Hands-on experience with LLM-powered features (usage, prompting, optimization, etc) and AI architectures
• The ability to work with infrastructure as code (terraform), cloud, and CI/CD systems at scale. We're a small team, so we own the whole stack!
• Excitement to leverage AI coding tools to their maximum benefit. We love Claude Code and Cursor and are constantly looking for better ways to leverage our time to build fast and build for scale.

Nice to have

• experience with voice-AI platforms (Vapi, Retell, Bland, Deepgram, LiveKit) or conversation-intelligence products (e.g. Gong-style analytics)
• experience scaling cloud infrastructure, especially AWS, and how to get the most out of key AWS services
• experience with workflow automation tools like n8n or Lindy
• experience with React for building internal dashboards
• experience with HVAC or back-office business workflows

WorkHero is committed to building a diverse team. We encourage candidates from all backgrounds to apply.

 Role - Senior Data Engineer(c2c)

Notice Period – Immediate Joiner Only

Remote Opportunity

Experience in AI and Data Engineering with strong expertise in Azure OpenAI, Azure AI Foundry, Agentic AI, RAG, LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. Comfortable with a 6-month contractual role

Looking for Senior Data Engineers to join an application development team supporting a business-critical enterprise web application and its data ecosystem. The role requires strong hands-

on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,

Power BI, GitHub, and Data Modeling. Here is what you will do:

Key Responsibilities:

• Design, develop, and support SQL Server databases used by the web application.

• Build and maintain Azure Data Factory pipelines for data movement, transformation,

scheduling, monitoring, and recovery.

• Develop and optimize T-SQL, stored procedures, views, and database objects.

• Design data models, ETL/ELT, and incremental data-processing solutions.

• Integrate application data with Dynamics 365 and other enterprise systems using REST APIs.

• Develop and support data solutions using Azure Data Lake, Microsoft Fabric, and OneLake.

• Use Azure Logic Apps for application/data integration, workflow orchestration, notifications,

and event-driven processing.

• Support Power BI and enterprise reporting requirements.

• Implement data quality, reconciliation, logging, error handling, retry, and monitoring

mechanisms.

• Troubleshoot SQL, pipeline, integration, and production data issues.

• Use GitHub and CI/CD practices for source control and deployments.

Oracle Planning Functional Analyst

6 + years

Duration - 6 Months

Need min 6+ years of experience in implementing Oracle Fusion Cloud Planning solutions. Candidates should have strong expertise in Supply Planning, Demand Planning, and Supply Chain Planning (SCP), along with hands-on experience integrating Planning modules with other Oracle Fusion applications. The ideal candidate should have implementation experience, strong business process understanding, configuration and testing expertise, and the ability to translate business requirements into effective planning solutions. Exposure to SQL/PLSQL and Oracle SCM processes is preferred.

Planning roles:

2:00 PM to 11:00 PM IST during the U.S. Daylight Saving period (approximately March to early November each year) / 3:00 PM to 12:00 Midnight IST during the non-Daylight Saving period (approximately November to the end of February each year).

Software Engineer

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Business Summary :

The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged – consider joining us as we explore the limitless opportunities of the software industry.

Position Responsibilities:

• Collaborate with the development team to maintain, enhance, and scale the product for enterprise use.
• Design and develop scalable, high-performance solutions using cloud technologies and containerization.
• Contribute to all phases of the development lifecycle, following SOLID principles and best practices.
• Write well-designed, testable, and efficient code with a strong emphasis on Test-Driven Development (TDD), ensuring comprehensive unit, integration, and performance testing.
• Ensure software designs comply with specifications and security best practices.
• Contribute ideas to improve application maintainability and performance under the guidance of senior engineers.

AI-Specific Responsibilities:

• Integrate AI-powered tools and frameworks to enhance code quality and development efficiency.
• Utilize AI-driven analytics to identify performance bottlenecks and optimize system performance.
• Implement AI-based security measures to proactively detect and mitigate potential threats.
• Leverage AI for automated testing and continuous integration/continuous deployment (CI/CD) processes.
• Support the adoption and effective use of AI agents for automating repetitive development, deployment, and testing processes within the engineering team.

Qualifications :

• 2-3 years of software engineering experience, including at least 1 year of hands-on AI/ML experience.
• Proficient in Node.js and TypeScript/React development, with experience in React 18+, Hooks (useState, useEffect, useContext), and WebSocket clients.
• Strong full-stack development experience with modern web technologies.
• Experience with ASP.NET Core (C#) is good to have.
• Experience developing REST APIs.
• Proficiency in front-end technologies (JavaScript, HTML, CSS, Bootstrap, and UI frameworks).
• Strong knowledge of cloud platforms (AWS preferred), including scalability and enterprise cloud. 
• Experience with security best practices in web and API development.
• Experience with Test-Driven Development (TDD).
• Strong database experience, focused on query optimization 
• Strong analytical skills, problem-solving abilities, and curiosity to explore new technologies.
• Ability to communicate effectively, including explaining technical concepts to non-technical stakeholders.
• High commitment to continuous learning, innovation, and improvement.

AI-Specific Qualifications:

• Practical experience with prompt engineering and LLM response optimization
• Knowledge of AI-driven development tools and platforms such as Claude Code, GitHub Copilot in Agentic Mode.
• Knowledge of AI-based security protocols and threat detection systems.
• Experience integrating GenAI or Agentic AI agents into full-stack workflows (e.g., using AI for code reviews, automated bug fixes, or system monitoring).
• Demonstrated proficiency with AI-assisted development tools and prompt engineering for code generation, testing, or documentation.

Job Description – Digital Marketing

• Assist in planning and executing digital marketing campaigns.
• Manage social media platforms and create engaging content.
• Perform basic SEO and keyword research.
• Support Google Ads and Meta Ads campaigns.
• Monitor website traffic and campaign performance.
• Generate leads and improve online brand visibility.
• Prepare basic marketing reports.
• Freshers with good communication and a willingness to learn are welcome.

Role Summary:

We are looking for an experienced Snowflake Lead to lead the design, development, migration, and optimization of enterprise data platforms using Snowflake. The candidate will provide technical leadership to data engineering teams and work closely with architects, business stakeholders, and application teams.

Key Responsibilities

• Lead the architecture and development of scalable Snowflake data warehouse solutions.
• Design and develop scalable Azure Data Factory (ADF) pipelines for API-based and batch data ingestion, implementing parameterized workflows, scheduling, and error handling.
• Build and optimize enterprise Snowflake data warehouse solutions using Snowflake SQL, Streams, Tasks, Stored Procedures, VARIANT data type, and LATERAL FLATTEN for semi-structured JSON processing.
• Integrate GraphQL and REST APIs using OAuth 2.0, implementing secure API authentication, JSON parsing, and API validation using Postman.
• Develop cloud-based data ingestion solutions using Azure Data Lake Storage Gen2 (ADLS) as the landing layer and Azure Key Vault for secure credential management.
• Design metadata-driven ELT frameworks with incremental loading, audit logging, watermark processing, and automated data orchestration.
• Optimize Snowflake performance through warehouse sizing, query tuning, clustering strategies, Time Travel, Cloning, and warehouse management best practices.
• Collaborate with DevOps teams using Azure DevOps for source control, CI/CD deployment, release management, and Agile delivery.
• Design dimensional data models, build curated data marts, and support enterprise reporting and analytics requirements.
• Develop and maintain Power BI semantic models, datasets, dashboards, and reports; knowledge of DAX, Power Query, and data visualization best practices is preferred.
• Work closely with business stakeholders, solution architects, and cross-functional teams to deliver secure, scalable, and high-performance cloud data platform solutions.

Thanks,

Mounika P

Hi everyone! At Pulse Labs, we are running a 100% online, paid research study for people living in India aged 25 to 65+.

• Eligibility: India resident

• Format: 100% Online 

• Incentive: ₹20,000 + ₹750 welcome gift (if you complete the onboarding)

👉 Apply here: https://hubs.li/Q04rRMgY0

🎁 REFERRAL BONUS: Know a friend or colleague who fits? Share this link! If they participate, you'll earn a ₹200 referral bonus: https://pulse-labs.referral-factory.com/cazFUQT9

Strong B2B Sales Leadership Profile from a services based company, with US market exposure

2

Mandatory (Experience 1): Must have 12+ years of overall Sales experience, with at least 7+ years of strong B2B service sales leadership and a proven track record closing complex, high-value deals.

3

Mandatory (Experience 2): Must have hands-on experience selling to the US market.

4

Mandatory (Experience 3): Must have owned the end-to-end sales cycle — prospecting, qualification, negotiation, and closure — driving consistent new business acquisition.

5

Mandatory (Experience 4): Must have expertise in pipeline management, sales forecasting, and data-driven sales execution (conversion rates, deal velocity, revenue predictability)

6

Mandatory (Experience 5): Must have experience defining target segments / Ideal Customer Profiles (ICPs) and collaborating with marketing on GTM strategy and lead-pipeline building.

7

Mandatory (Skill 1): Must have excellent negotiation, communication, and stakeholder management skills, along with people and sales management ability

8

Mandatory (Skill 2): Must have experience using AI in sales.

9

Mandatory (Company): B2B Services

10

Mandatory (Stability): Must have a stable career history, with at least 2 years in each role; profiles with frequent job hopping will not be considered (one or two switches acceptable if well justified).

11

Mandatory (Note 1): Must be comfortable with 4:00 PM–1:00 AM IST office timings (US shift).

12

Preferred (Education): Must have a Bachelor's degree in Business, Marketing, Commerce, or a related field; MBA (Sales / Marketing / Strategy) preferred.

13

Preferred (Certification): Sales methodology certification (SPIN Selling, Consultative Selling, or equivalent) is an advantage.

14

Preferred (Tools): Familiarity with CRM and sales tools (e.g., Zoho CRM, HubSpot)

Build AI where the work actually happens.

Celeco works inside real businesses to understand critical workflows, ship production AI systems and stay through adoption.

We are hiring our first Intelligence Architect (Forward-Deployed AI Engineer).

⌁

Full-time · Remote-first · Optional hybrid in Bengaluru

At least one year of professional engineering experience. Customer travel when the work requires it.

The role

An Intelligence Architect enters a customer environment with an unfinished question and leaves behind a working, measurable system.

This is a hands-on engineering role at the boundary of product, operations and customer delivery. You will learn the domain, inspect the existing systems and data, decide what should be built, and write the code that puts it into production.

What you will own

• Interview and shadow the people doing the work, then map the real workflow, including hand-offs, exceptions and workarounds.
• Understand the customer's application stack, APIs, data, identity model, security constraints and deployment environment.
• Turn business goals into a technical scope, system design, delivery plan and measures of success.
• Build across the stack: AI workflows, data pipelines, integrations, backend services and the interfaces people use.
• Choose the simplest reliable approach. The answer may combine agents, retrieval, rules and conventional software.
• Create evals from representative cases, define quality and failure metrics, inspect traces, red-team the system and set launch thresholds.
• Make practical trade-offs across accuracy, latency, cost, privacy, security and speed.
• Take prototypes into production with tests, monitoring, access controls, documentation and a plan for failure and recovery.
• Work beside customer teams during rollout and improve the system until it becomes part of the workflow.
• Turn what works into reusable components, evaluation sets and playbooks for future Celeco deployments.

You will probably thrive here if

• You have at least one year of professional software or product engineering experience.
• You have shipped a real system used by other people and can explain what you owned, what broke and what you changed.
• You are strong in Python or TypeScript and comfortable moving across unfamiliar codebases, APIs, databases and cloud services.
• You have built with language or multimodal models and understand prompting, structured outputs, retrieval, tool use and model failure modes.
• You use Cursor, Codex, Claude Code or similar tools as part of your engineering workflow, while still reviewing, testing and understanding the code you ship.
• You can create an evaluation set, choose useful quality metrics and improve a system through error analysis instead of prompt guesswork.
• You can speak with an operator, an engineering team and a senior leader without losing the thread of the problem.
• You work well with incomplete requirements, write clearly and surface risks early.
• You care about whether people use what you build and whether it changes a business outcome.
• You can commit full-time and travel to customer sites when discovery or rollout is better done in person.

Experience with cloud deployment, containers, CI/CD, observability, enterprise integrations, authentication or security is useful. We do not expect one person to arrive knowing every framework, cloud or industry.

What you will get

• Direct ownership of live customer problems from discovery through production.
• Close collaboration with Celeco's founders and customer leadership teams.
• Exposure to different industries, operating models and technical environments.
• The freedom to choose the technical approach and the responsibility to prove that it works.
• A role in defining Celeco's engineering methods, reusable systems and technical culture while the company is early.
• A remote-first setup, with the option to work together in Bengaluru.

If the work sounds like you but your background is unconventional, apply. We care more about what you have built, how you think and how quickly you learn than pedigree.

Apache Flink Developer (Confluent Platform)

Role Summary:

Design, develop, and support real-time streaming solutions using Apache Flink and Confluent Platform. Build scalable event-driven data pipelines, implement streaming transformations using Flink SQL and Java, and optimize performance, reliability, and data quality.

Key Skills:

- Hands-on experience with Apache Flink and Flink SQL

- Strong SQL skills, including complex joins, aggregations, window functions, and query optimization

- Experience with Apache Kafka and Confluent Platform

- Proficiency in Java and stream processing concepts

- Knowledge of Schema Registry, Avro/Protobuf, CDC, and event-driven architectures

- Familiarity with cloud-native deployments and container platforms is a plus

Experience: Overall 8+ years with 6+ yrs in real-time data engineering, streaming platforms, or event-driven architectures.

Run delivery for 15–25 backend, frontend, and AI engineers building construction- tech and CAD drawing-automation software — with structural engineers on one side of you and the codebase on the other. Must have Hands-on familiarity with AutoCAD, Revit or experience at a product company in the CAD / AutoCAD / BIM / PLM / EDA /simulation space

Role overview-

We are hiring one Technical Product Manager to own delivery across our engineering teams in Bengaluru. You will run 15–25 engineers across backend, frontend, and AI workstreams, and you will be the person who turns requirements originating with our structural and detailing engineers into scoped, sequenced, shipped software.

This is a technical role. You will not be handed a groomed backlog and asked to move cards across it. You will sit in the design discussion and have a view on how and when — you will push back on an approach that will not scale, ask why a trade-off was made, and know the

difference between a two-day change and a two-sprint one. You are not expected to write production code. You are expected to read it, understand the system, and never be the least- informed person in a technical conversation you are chairing

What you’ll own- Delivery ownership

• Own the end-to-end delivery plan for every active workstream — scope, sequence,dependencies, capacity, and dates that actually hold.
• Break large, ambiguous product intent into engineering-sized increments with explicit acceptance criteria, agreed with the people who will build them.
• Run the operating cadence: planning, standups, refinement, demos, and retrospectives that change something the following week.
• Maintain one honest view of status — on track, at risk, slipped, and why — visible to the founders and to the team at the same time.
• Manage cross-team dependencies between backend, frontend, AI, and drawing-automation workstreams so no team idles waiting on another.
• Surface risk early, quantify it, and arrive with options — never an escalation without a proposal.
• Protect the team from thrash: absorb changing priorities, re-plan properly, and say no or not now when a plan cannot take more.
• Drive releases to genuinely done — QA, UAT with domain experts, documentation, and post- release verification included.
• Own and improve the delivery metrics that matter: cycle time, predictability of committed scope, defect escape rate, and rework.
• Run the release calendar across two products so neither becomes the permanent second priority.

The floor & the team.

Our requirements do not come from a product spec written in a vacuum. They come from structural and detailing engineers sitting on the floor with decades of practice behind them. Converting that into software is the defining skill of this job.

• Partner with structural and detailing engineers to turn drawing standards, project practice, and domain expectation into unambiguous, implementable requirements
• Run requirement sessions whose output is a written spec — sample data, expected output,edge cases, and explicit non-goals — not a shared verbal understanding.
• Arbitrate the constant gap between “how it has always been done on site” and “what can be deterministically automated.”
• Set up validation loops so domain experts review generated output early and repeatedly, rather than at the end of a sprint.
• Maintain a decision log for domain rules so the same question is not re-litigated three sprints later by different people.
• Manage internal stakeholder expectations and, where relevant, commitments made to customers.
• Spot when a “small clarification” is actually a scope change, and handle it as one.
• Make sure engineers get access to the domain expert directly — your job is to structure that contact, not to become a relay in the middle of it.

Challenges you’ll solve.

We prefer to be candid. These are the problems that make this role genuinely difficult — and genuinely interesting.

Domain knowledge that arrives as tribal knowledge

Our structural and detailing engineers know what a correct drawing looks like, but much of that knowledge is tacit. Your job is to extract it into deterministic, testable rules before an engineer starts building. Getting this wrong is the single most expensive failure mode we have

— it produces work that looks finished and is not.

Three disciplines, one release

Backend (AWS serverless), frontend (Angular / React), and AI engineers ship into the same

product. They have different failure modes, different testing regimes, and different natural cadences. Sequencing them so nobody idles and nothing integrates late is the core scheduling problem here.

Correctness is not negotiable

This is construction software. A wrong drawing, a wrong quantity, a wrong permission, or a wrong payroll figure has consequences outside the screen. “Ship it and iterate” has limits here, and you will need judgement about exactly where those limits sit for each workstream.

AI workstreams do not estimate like CRUD

Drawing generation and extraction work is research-shaped: some weeks produce a breakthrough, some produce a negative result. You will plan around that uncertainty honestly— with timeboxes, decision points, and fallbacks — instead of pretending an unknown is a two-

week ticket.

Live customers, finite engineers

Companies run their operations on this platform daily. Production incidents, customer escalations, and enterprise integrations (Asite, Autodesk Construction Cloud) compete with roadmap work for exactly the same people. You will make that trade-off explicitly, every week,

and be able to defend it.

Two products, one organisation

The operations platform and the drawing-automation platform have different customers, different rhythms, and partly shared people. Keeping both moving — without either becoming the perpetual second priority — is a standing constraint on every plan you make.

Founder-adjacent, fast-changing priorities

Direction can change on new customer information, and sometimes it should. You are the shock absorber: re-plan quickly, communicate the change clearly and once, and make sure the team experiences it as a decision rather than as chaos.

Qualifications.

• 6–7 years minimum in software delivery, including at least 4 years directly managing engineering teams as a project, delivery, or engineering program manager.
• Proven experience running teams of 10+ engineers across more than one discipline —backend, frontend, mobile, data, or AI.
• Fluency in modern delivery practice — Agile / Scrum or Kanban applied with judgement rather than ceremony — plus genuine facility with Jira or Linear, Git workflows, CI/CD, and release management.

Strongly preferred

• Experience at a product company in the CAD / AutoCAD / BIM / PLM / EDA /simulation space — Autodesk, Bentley, Dassault, Siemens, PTC, Trimble, Hexagon, Ansys or similar.
• Exposure to AEC, construction tech, manufacturing, or industrial software where domain correctness matters more than interface polish.
• Experience managing teams that included AI / ML engineers alongside conventional product engineers.
• Hands-on familiarity with AutoCAD, Revit, Civil 3D, Tekla, or DXF / drawing-export workflows.

The bar, the process, the offer.

The manager we’re looking for

Technical enough to be trusted

Engineers respect the questions you ask, not just the dates you set.

Owns outcomes, not activity

Measures the job by what shipped and worked, not by how busy the board looked.

Direct and specific

Says the uncomfortable thing early, in plain language, to the person who needs to hear it.

Reduces chaos

Leaves every process, plan, and handoff simpler than they found it.

Holds opinions loosely

Strong views on how to run delivery, updated when the evidence changes.

Raises the standard around them

The team becomes more predictable and more capable because you are in it.

Job Title : Senior Consultant – Full Stack Developer with AI

Experience : 5+ Years

Open Positions : 1

Location : Remote

Working Hours : 11:00 AM to 08:00 PM IST

Engagement : 6 to 8 Months Contract-to-Hire (C2H), with potential conversion to client payroll

Expected Joining : By the last week of August / 1st week of September

Role Overview :

Thoughtworks is looking for a Senior Consultant – Full Stack Developer with AI experience who can design and develop scalable full-stack applications while leveraging modern AI development tools and agentic AI capabilities.

The ideal candidate should have strong hands-on experience with Python, JavaScript / React.js, AWS Bedrock Agent Core, Docker, Kubernetes, and modern AI-assisted development frameworks and tools. Experience building MCP servers / tools, AI skills, or integrations using tools such as Cursor, Claude Code, Codex, or GitHub Copilot will be highly valuable.

The candidate should be comfortable working across application development, AI integration, cloud technologies, and containerized environments.

Mandatory Skills :

Python, React.js / JavaScript, AWS Bedrock Agent Core, Docker, Kubernetes, MCP / AI Skills, Cursor / Claude Code / Codex / GitHub Copilot, Full-Stack Development.

Key Responsibilities :

• Design, develop, and maintain scalable full-stack applications using modern development practices.
• Build backend services and APIs using Python and related frameworks.
• Develop responsive and scalable frontend applications using ReactJS or other JavaScript frameworks.
• Design and implement AI-powered solutions using AWS Bedrock Agent Core.
• Build and integrate AI agents, tools, skills, and workflows into enterprise applications.
• Develop and work with MCP (Model Context Protocol) servers, tools, or integrations.
• Leverage AI-assisted development platforms and coding tools such as Cursor, Claude Code, Codex, or GitHub Copilot.
• Containerize applications and services using Docker.
• Deploy, manage, and troubleshoot containerized workloads using Kubernetes.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable technical solutions.
• Follow engineering best practices around code quality, testing, security, performance, and maintainability.
• Contribute to CI/CD and cloud deployment processes; DevOps experience will be an added advantage.
• Participate in technical discussions, architecture decisions, code reviews, and project delivery.

Mandatory Skills :

• 5+ years of relevant software development experience.
• Strong hands-on experience with Python.
• Strong experience with ReactJS or another modern JavaScript framework.
• Hands-on experience with AWS Bedrock Agent Core.
• Strong experience with Docker.
• Hands-on experience with Kubernetes.
• Experience building MCP servers / tools, AI skills, or similar AI integrations.
• Experience using AI-assisted coding/development tools such as :
• Cursor
• Claude Code
• Codex
• GitHub Copilot
• Strong understanding of full-stack application development.
• Good understanding of API development, application architecture, and cloud-based solutions.

Nice to Have :

• Experience with DevOps practices and CI/CD pipelines.
• Experience with AWS cloud services beyond Bedrock.
• Experience with infrastructure automation and deployment.
• Experience building production-grade GenAI / Agentic AI applications.
• Experience with LLM integrations, AI agents, tools, and function calling.

Project Expectations :

Candidates should be able to explain at least one recent project in detail, including :

• Problem Statement : What business / technical problem were you solving ?
• Architecture & Approach : How did you design the solution ?
• Key Contributions : What did you personally build or own ?
• AI / Agent Implementation : How did you use AWS Bedrock Agent Core, MCP, or AI development tools ?
• Technology Stack : Python, React.js / JavaScript, AWS, Docker, Kubernetes, etc.
• Challenges : What were the major technical challenges ?
• Outcomes & Metrics : What measurable impact did the solution deliver, such as performance improvement, cost reduction, automation, productivity improvement, or reduced development time ?

Interview Process :

1. Round 1 – GT Technical Interview : 60 minutes
2. Round 2 – Client Technical Interview : 60 minutes
3. Round 3 – Project Round : 60 minutes
4. Additional Client Round : May be conducted on a case-by-case basis

Key Hiring Priorities :

Highest priority : Candidates with genuine hands-on experience in AWS Bedrock Agent Core + Python + React / JavaScript + Docker + Kubernetes + MCP / AI skills and practical experience using modern AI coding/agent development tools.

Note : Candidates should demonstrate hands-on implementation experience rather than only theoretical knowledge or exposure to the above technologies.

Job Description:

Required Qualifications & Skills:

• Total Experience:10+ years of professional experience in Oracle Supply Chain Planning environments.
• Oracle Fusion Cloud Experience: 5+ years of dedicated, hands-on functional experience specifically within Oracle Fusion Cloud Supply Chain Management (SCM).
• Specialized Expertise: Proven track record as a Subject Matter Expert (SME) with at least 2 full-lifecycle, end-to-end implementations of the Oracle Fusion Demand Planning module from readiness to go-live.
• Cross-Module Knowledge: Strong understanding of how Demand Planning integrates with broader Cloud SCM, Procurement, and Finance modules.
• Leadership: Proven ability to operate independently as an SME, steering the project roadmap rather than just executing tasks.
• Communication: Exceptional consulting and communication skills to influence and guide director-level stakeholders.
• Change Management, Business Process Mapping, Reporting and Analytics, OIC ( Oracle Integration Cloud) and OAC (Oracle Analytics Cloud)

About the Role

We are looking for a Business Development Executive to help us grow our software development business by identifying and acquiring new clients and projects.

We build custom software solutions across different domains, including gaming, e-commerce, SaaS, education, fintech, and other business applications. We are not restricted to a specific technology or industry and work based on the client's requirements.

What You'll Do

• Identify potential businesses and clients who require software development services.
• Generate leads through LinkedIn, cold outreach, email, freelance platforms, referrals, networking, and other channels.
• Initiate conversations with prospects and understand their business and project requirements.
• Qualify opportunities and coordinate with our technical team for project discussions.
• Follow up with prospects and help convert qualified opportunities into projects.
• Build and maintain long-term relationships with clients.
• Explore new channels and strategies for generating software development opportunities.

What We're Looking For

• Experience in business development, IT sales, software services, or client acquisition.
• Experience selling software development or digital services is strongly preferred.
• Strong communication, negotiation, and relationship-building skills.
• Ability to independently research and identify potential clients.
• Self-driven and comfortable working independently.
• A results-oriented approach with a focus on generating actual business, not just outreach volume.

Engagement

We are flexible and open to full-time, part-time, contractual, or commission-based arrangements depending on experience and the proposed working model.

Compensation can be discussed based on experience and engagement structure.

Important

This role is primarily focused on bringing in new software development clients and projects. We are looking for someone who can take ownership of the business development process, from prospecting and initial outreach through to qualified project opportunities.

Experience with an existing network of potential clients or a proven track record of acquiring software/IT projects is a strong advantage.

About Nexora Group

Nexora Group is a technology-driven organization focused on innovation in Artificial Intelligence, IoT, Embedded Systems, Robotics, and next-generation digital solutions. We provide aspiring engineers with opportunities to gain practical experience, work on industry-relevant projects, and develop skills that bridge hardware and intelligent software systems.

Internship Overview

Nexora Group is seeking passionate and innovative Embedded Systems with AI Interns to join our technology team. This internship is designed for students and recent graduates interested in embedded programming, IoT development, edge AI, robotics, and intelligent hardware systems. Interns will work on real-world projects involving microcontrollers, sensors, AI-powered devices, and automation solutions.

Key Responsibilities

• Design, develop, and test embedded applications for intelligent systems.
• Work with microcontrollers and development boards such as Arduino, ESP32, STM32, and Raspberry Pi.
• Integrate sensors, actuators, and communication modules into embedded solutions.
• Develop and deploy AI/ML models for edge devices and IoT applications.
• Assist in building smart automation, robotics, and intelligent monitoring systems.
• Debug, optimize, and troubleshoot hardware and firmware issues.
• Collaborate with software and AI teams to integrate machine learning into embedded platforms.
• Document project architecture, testing results, and technical specifications.
• Research emerging technologies in Edge AI, TinyML, IoT, and Embedded Computing.

Required Skills

• Basic understanding of Embedded Systems and Microcontrollers.
• Knowledge of C, C++, or Python programming.
• Familiarity with Arduino IDE, PlatformIO, Raspberry Pi, or similar development environments.
• Understanding of electronics, sensors, and communication protocols (UART, I2C, SPI, MQTT).
• Basic knowledge of Artificial Intelligence and Machine Learning concepts.
• Strong analytical and problem-solving abilities.
• Good communication and teamwork skills.
• Passion for innovation and hardware-software integration.

Preferred Qualifications

• Experience with IoT, Robotics, Automation, or Embedded Projects.
• Familiarity with TensorFlow Lite, TinyML, Edge AI, or Computer Vision applications.
• Knowledge of PCB design, circuit simulation, or hardware prototyping.
• Participation in technical competitions, hackathons, or research projects.
• GitHub portfolio or project demonstrations showcasing embedded or AI work.

Eligibility

• Undergraduate or postgraduate students pursuing Electronics & Communication Engineering (ECE), Electrical Engineering (EE), Computer Science, Embedded Systems, Mechatronics, Robotics, IoT, AI, or related disciplines.
• Recent graduates seeking practical industry exposure.
• Candidates passionate about intelligent hardware systems and emerging technologies.

What You'll Gain

• Hands-on experience with real-world Embedded Systems and AI projects.
• Exposure to IoT, Edge AI, Robotics, and Smart Device development.
• Mentorship from experienced engineers and technology professionals.
• Internship Completion Certificate.
• Letter of Recommendation based on performance.
• Opportunity for a Pre-Placement Offer (PPO) for outstanding performers.
• Professional networking and career growth opportunities.

About Nexora Group

Nexora Group is a technology and innovation-driven organization dedicated to building intelligent solutions that leverage Artificial Intelligence, Machine Learning, Data Analytics, and emerging technologies. We are committed to fostering talent by providing aspiring professionals with practical exposure, mentorship, and opportunities to work on real-world projects.

Internship Overview

Nexora Group is looking for enthusiastic and driven AI/ML Interns to join our team. This internship is ideal for students and recent graduates who are passionate about Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. Interns will gain hands-on experience working on real-world AI projects, developing intelligent models, and solving complex business challenges using data-driven approaches.

Key Responsibilities

• Assist in developing, training, and evaluating Machine Learning models.
• Collect, clean, and preprocess datasets for AI/ML applications.
• Conduct exploratory data analysis and feature engineering.
• Work on Deep Learning, Natural Language Processing (NLP), and Computer Vision projects.
• Research and implement AI algorithms and emerging technologies.
• Support the development of Generative AI and Large Language Model (LLM)-based solutions.
• Optimize model performance and evaluate results using industry-standard metrics.
• Document project workflows, findings, and technical reports.
• Collaborate with cross-functional teams to develop innovative AI solutions.

Required Skills

• Basic understanding of Machine Learning and Artificial Intelligence concepts.
• Knowledge of Python programming.
• Familiarity with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, or Keras.
• Understanding of data structures, algorithms, and statistics.
• Basic knowledge of Deep Learning, NLP, or Computer Vision concepts.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.
• Willingness to learn and adapt to new technologies.

Preferred Qualifications

• Experience with AI/ML projects, hackathons, or research work.
• Knowledge of Generative AI, Prompt Engineering, and LLMs.
• Familiarity with cloud platforms and AI deployment tools.
• Certifications in AI, Machine Learning, or Data Science are a plus.
• GitHub projects or portfolio showcasing AI/ML work.

Eligibility

• Undergraduate or postgraduate students pursuing Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or related fields.
• Recent graduates seeking practical industry experience.
• Candidates with a strong interest in AI innovation and research.

What You'll Gain

• Hands-on experience with real-world AI and Machine Learning projects.
• Mentorship from experienced AI professionals.
• Exposure to cutting-edge AI tools, frameworks, and technologies.
• Internship Completion Certificate.
• Letter of Recommendation based on performance.
• Opportunity for a Pre-Placement Offer (PPO) for outstanding performers.
• Professional networking and career development opportunities.

About Nexora Group

Nexora Group is a technology-driven organization focused on innovation, digital transformation, and cutting-edge software solutions. We empower aspiring developers by providing hands-on industry experience, mentorship, and opportunities to work on real-world projects that create meaningful impact.

Internship Overview

Nexora Group is seeking passionate and motivated Full Stack Web Developer Interns to join our development team. This internship offers an excellent opportunity for students and recent graduates to gain practical experience in building modern web applications, working with industry-standard technologies, and collaborating in a professional software development environment.

Key Responsibilities

• Design, develop, and maintain responsive web applications.
• Build user-friendly front-end interfaces using modern web technologies.
• Develop and integrate back-end APIs and server-side functionalities.
• Work with databases to store, manage, and retrieve application data.
• Collaborate with designers, developers, and project managers to deliver high-quality solutions.
• Debug, test, and optimize applications for performance and scalability.
• Participate in code reviews and follow software development best practices.
• Stay updated with the latest web development trends and technologies.

Required Skills

• Basic understanding of HTML, CSS, JavaScript, and responsive web design.
• Knowledge of front-end frameworks such as React.js, Next.js, Angular, or Vue.js.
• Familiarity with back-end technologies such as Node.js, Express.js, Python, PHP, or Java.
• Understanding of databases like MySQL, PostgreSQL, MongoDB, or Firebase.
• Knowledge of REST APIs and web services.
• Familiarity with Git and GitHub for version control.
• Strong problem-solving and analytical skills.
• Good communication and teamwork abilities.

Preferred Qualifications

• Experience with personal, academic, or freelance web development projects.
• Understanding of cloud platforms, deployment, and hosting services.
• Knowledge of authentication, security practices, and API integration.
• Portfolio, GitHub repositories, or project demonstrations are a plus.

Eligibility

• Undergraduate or postgraduate students pursuing Computer Science, Information Technology, Software Engineering, or related fields.
• Recent graduates looking to gain practical industry experience.
• Candidates passionate about web development and software engineering.

What You'll Gain

• Hands-on experience working on real-world web applications.
• Mentorship from experienced software developers.
• Exposure to modern development tools, frameworks, and workflows.
• Internship Completion Certificate.
• Letter of Recommendation based on performance.
• Opportunity for a Pre-Placement Offer (PPO) for exceptional performers.
• Professional networking and career growth opportunities.

About Nexora Group

Nexora Group is a forward-thinking technology and innovation company focused on leveraging Artificial Intelligence, Data Science, and emerging technologies to solve real-world business challenges. We provide opportunities for aspiring professionals to gain hands-on experience, work on impactful projects, and develop industry-relevant skills in a collaborative environment.

Internship Overview

We are looking for enthusiastic and motivated Data Science with AI Interns to join our growing team. This internship is designed for students and recent graduates who are passionate about data analytics, machine learning, artificial intelligence, and data-driven decision-making.

The selected candidates will work alongside experienced professionals on real-world datasets, AI models, and business intelligence projects while gaining practical exposure to industry-standard tools and technologies.

Key Responsibilities

• Collect, clean, and preprocess structured and unstructured datasets.
• Perform exploratory data analysis (EDA) and generate actionable insights.
• Assist in developing and deploying machine learning and AI models.
• Work with Python, SQL, and data visualization tools.
• Create dashboards, reports, and data-driven presentations.
• Support predictive analytics and model evaluation activities.
• Collaborate with cross-functional teams on AI-driven projects.
• Research emerging trends in Data Science, Machine Learning, and Generative AI.
• Document project findings and maintain technical reports.

Required Skills

• Basic understanding of Data Science and Machine Learning concepts.
• Knowledge of Python and data analysis libraries (Pandas, NumPy, Matplotlib, Scikit-learn).
• Familiarity with SQL and database concepts.
• Understanding of AI, Generative AI, and Large Language Models (LLMs) is a plus.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.
• Eagerness to learn and adapt to new technologies.

Eligibility

• Undergraduate or postgraduate students pursuing Computer Science, Data Science, AI, IT, Statistics, Mathematics, or related fields.
• Recent graduates looking to gain practical industry experience.
• Candidates with personal projects, certifications, or relevant coursework will be preferred.

What You'll Gain

• Hands-on experience with real-world AI and Data Science projects.
• Mentorship from industry professionals.
• Exposure to modern AI tools and technologies.
• Internship Certificate upon successful completion.
• Letter of Recommendation (based on performance).
• Opportunity for a Pre-Placement Offer (PPO) for outstanding performers.
• Professional networking and career development opportunities.

We’re looking for a closer/sales expert. You’ll be taking around 5 to 6 thirty-minute calls each workday with potential clients, to help them make the decision of whether to enroll in our product (a coaching program that helps them land a job in management consulting). All calls are inbound. This job is 100% remote. Work hours are flexible and & you can build your schedule how you want. You have autonomy. The role is based on quick conversations, where you get to give your insights and help people make the right choice. It will be a commission heavy role (less base, more commissions).

Role Description

This is a full-time role for a React.js Developer who will be responsible for developing, maintaining, and optimizing responsive and scalable web applications. The successful candidate will work closely with UI/UX designers, backend developers, and product teams to convert designs and requirements into high-quality, production-ready applications. The role requires strong problem-solving skills, attention to detail, and the ability to take ownership of features from development through deployment.

Key Responsibilities

• Develop responsive and scalable web applications using React.js.
• Build reusable and maintainable frontend components.
• Convert UI/UX designs and Figma prototypes into functional web interfaces.
• Integrate frontend applications with REST APIs and backend services.
• Manage application state using Redux, Context API, Zustand, or similar technologies.
• Optimize applications for performance, responsiveness, and scalability.
• Debug and resolve frontend issues across development and production environments.
• Ensure cross-browser and cross-device compatibility.
• Collaborate with UI/UX designers, backend developers, QA, and product teams.
• Participate in code reviews and follow clean coding and development practices.
• Write and maintain appropriate tests for frontend applications.
• Stay updated with modern frontend technologies and best practices.
• Take ownership of features from development and testing through deployment and maintenance.

Requirements

• Strong proficiency in JavaScript (ES6+) and React.js.
• Good understanding of React Hooks, component architecture, props, state, and Context API.
• Strong knowledge of HTML5 and CSS3 and responsive web development.
• Experience integrating REST APIs and working with JSON.
• Experience with state management libraries such as Redux, Zustand, or similar.
• Experience with Git and GitHub/GitLab.
• Understanding of frontend performance optimization and browser debugging.
• 3+ years of hands-on experience in frontend development with React.js.
• Experience with TypeScript and Next.js is preferred.
• Familiarity with UI libraries such as Tailwind CSS, Material UI, or similar is a plus.
• Experience with frontend testing tools such as Jest, Vitest, or React Testing Library is a plus.
• Good problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work independently, prioritize tasks, and meet deadlines.
• A proactive approach to learning and solving technical problems.

Candidates with strong practical experience, personal projects, GitHub contributions, or demonstrable frontend work may also be considered in place of extensive professional experience.

We’re building financial data systems that power real business decisions — and we need someone who knows how to make Django, PostgreSQL, Celery, and APIs play nicely at scale.

You know what clean, reliable backend systems look like — because you’ve built them. You’ve handled authentication quirks, rate limits, and webhooks; you build code that’s maintainable, performant, and correct.

If you’re curious about financial data, transactions, and KPIs, and enjoy turning numbers into insight, this role is for you. (Experience with banking or accounting APIs is a big plus.)

What You’ll Do

• Build and maintain Django-based systems using Celery for async and scheduled tasks
• Integrate and manage data from multiple APIs (banking, accounting, analytics, etc.)
• Design and optimize internal APIs
• Improve reliability, scalability, and performance
• Collaborate closely with product and frontend engineers

Your Profile

You’re an experienced backend engineer who is strong in all core areas of modern Python development:

• Python, Django, Django REST Framework
• Celery and asynchronous / distributed task handling
• PostgreSQL and robust data modeling
• Docker and containerized deployment workflows
• Unit testing (pytest or equivalent) and maintainable test structures
• Git, CI/CD, and reliable deployment automation
• API integrations (REST, OAuth, webhooks)
• Caching strategies & background job handling (preferred Redis experience)
• Solid understanding of security, permissions, and performance optimization

You’ve already built or scaled production-grade systems and can take ownership from architecture to deployment.

Experience with fintech or data integration systems is an advantage.

How We Work

We’re a small, remote-first team that values ownership over micromanagement.

You’ll have freedom in how you work — what matters is your impact.

Our daily language is English.

About finban

We’re building a platform that helps businesses understand and manage their financial performance in real time by connecting and analyzing data from banking, accounting, and analytics systems.

If you’ve built or scaled production Django systems before and love clean architecture — we’d love to see your work.

Mobile Developer — React Native / Expo

About the role

We build a consumer wellbeing app for iOS and Android. It is already live in both stores, has paying subscribers, and is under active development. We are a small team, and we are hiring the person who will own the mobile app.

This is not a greenfield project and it is not a role on a large mobile team. The codebase exists — React Native and Expo, TypeScript, Supabase on the backend, RevenueCat for subscriptions — and it was built quickly. Your job is to take it over, make it solid, and keep shipping. You will be the only mobile developer, which means the app is yours: the architecture, the release pipeline, the store listings, the crash reports, and the decisions about what to fix versus what to live with.

You will work directly with the founder and a designer. There are no layers between an idea and a release, which is the appeal of the job and also the demand of it. We need someone who is comfortable being the person who knows how the app works.

Fully remote, with a few hours of daily overlap for calls and reviews.

What you will own

The product roadmap

• Build features end to end — from a design in Figma and a conversation with the founder, through implementation in TypeScript and expo-router, to a release in the App Store and Google Play.

• Break down loosely specified ideas into shippable increments and tell us honestly what each one costs.

• Work on core experience features: audio recording and playback, animated screens, journaling with offline-tolerant sync, daily progress and streak state, and push notifications.

Subscriptions and revenue

• Own the paid side of the app end to end: paywalls, free trials, entitlement checks, renewal and cancellation states, restore purchases, and the platform deep links for managing a subscription.

• Build and iterate on retention flows — cancellation off-ramps, discount offers, and win-back prompts — keyed off subscription state from RevenueCat and our own backend.

• Handle the unglamorous parts properly: receipt and entitlement edge cases, users whose store state and backend state disagree, and refunds. Billing bugs cost real money and real trust.

A consistent experience on every device

• Extend and enforce our shared responsive layout system — breakpoints, spacing scale, and typography scale — instead of hard-coding values per screen.

• Make every screen render correctly from a 360 × 640dp Android phone up to a tablet, in dark theme, including non-Latin script typography.

• Keep our device test matrix green and stop layout regressions before they ship. We have a real backlog here and you would be the person to close it.

• Take accessibility seriously — VoiceOver and TalkBack, dynamic type, contrast, and touch target sizes.

Release engineering and quality

• Run EAS Build and EAS Submit, manage release channels, and use EAS Update to ship fixes over the air without waiting on store review.

• Own both store listings: submissions, review responses, privacy disclosures, and staged rollouts.

• Maintain the test suite — unit tests, component tests, and snapshot tests across device profiles — and keep CI meaningful rather than decorative.

• Monitor crash reporting and analytics, triage what comes in, and close the loop with fixes and regression tests.

• Keep upgrade debt low by moving the app forward across Expo SDK versions on a deliberate schedule, not in a panic.

What we are looking for

Required

• 3–5 years of professional software development, including at least 2 years building production React Native apps.

• Expo in production, not just in a tutorial. You have used EAS Build, worked with development builds rather than staying inside Expo Go, shipped to both stores, and pushed an over-the-air update to real users.

• In-app subscriptions on both platforms. RevenueCat ideally, or direct StoreKit and Play Billing — you understand entitlements, trials, renewal, grace periods, and restore, and you have debugged a subscription that was in the wrong state.

• Strong TypeScript and modern React: hooks, composition, and a clear sense of when state belongs local, in a store, or on the server.

• Experience with a backend-as-a-service such as Supabase or Firebase — auth, a relational or document store, row-level security, and realtime subscriptions.

• Client state management with Zustand, Redux Toolkit, or similar, and comfort with offline behaviour and cache invalidation.

• Comfort taking over code you did not write. Much of the first months is reading, understanding, and improving an existing codebase. Tell us about a time you inherited one.

• Native-layer literacy: what app.json and config plugins actually generate, how to read an Xcode or Gradle build failure, and how to approach a native crash.

• Familiarity with App Store and Google Play submission requirements, review guidelines, and privacy disclosures.

• Genuine self-direction. As the only mobile developer, no one will unblock you day to day. We need someone who makes reasonable calls alone, communicates clearly in writing, and flags problems early.

• Professional working proficiency in English.

Nice to have

• Audio recording and playback on mobile (expo-audio / expo-av), including background and interruption handling.

• Reanimated and Gesture Handler for non-trivial animation and interaction work.

• NativeWind, Tailwind, or another token-driven styling system.

• Migrating an app to the React Native New Architecture (Fabric, TurboModules).

• End-to-end testing with Maestro or Detox, and CI/CD for mobile.

• Internationalisation, right-to-left layout, or typesetting non-Latin scripts.

• Writing custom Expo modules or config plugins in Swift and Kotlin.

• Paywall experimentation, subscription analytics, or app store optimisation.

• Having been the sole developer on a shipped consumer app before.

Our stack

This is what the app is actually built on today. You do not need every line of it on day one.

• Framework — React Native with Expo, TypeScript, expo-router (file-based routing)

• Backend — Supabase: Postgres, auth, row-level security, realtime channels

• Payments — RevenueCat (react-native-purchases): entitlements, trials, offers, App Store & Play Billing

• State — Zustand stores, custom hooks, AsyncStorage for local persistence

• UI — Shared responsive primitives and design tokens, dark theme, animated and audio-driven screens

• Quality — Jest + React Native Testing Library, snapshot tests across five device profiles, CI audit scripts

• Release — EAS Build, EAS Submit, EAS Update (OTA), App Store Connect, Google Play Console

Essential Duties and Responsibilities:

• Build new automations in Python: API integrations, data pipelines, scheduled jobs, and process replacements scoped with operating partners.

• Maintain the existing Power Automate estate, both unattended cloud and desktop flows. Triage failures, repair flows, and keep unattended runs healthy on the bot-server farm. Operate the Power Platform space around them: environments, solutions, connection references, and pipeline-managed deployments.

• Migrate Power Automate flows to Python where the economics favor it. Retire flows rather than patching them indefinitely.

• Integrate systems over REST APIs. Handle JSON and XML transformation, authentication (OAuth, service principals), and error handling that survives flaky endpoints.

• Author SQL queries, tables, and stored procedures that support automations.

• Operate what you build. Instrument jobs with logging, monitoring, and alerting so failures surface before the business notices them. Write runbooks.

• Improve how automations run. Today they run as scheduled jobs on VMs. Help evaluate and move toward containerized or Azure-native execution (Functions, Container Apps) where it reduces operational load.

• Use AI coding tools as a core part of daily development, within company governance and review standards.

• Document what you build so the next engineer, or an operating partner, can understand and extend it.

Knowledge, Skills and Abilities:

• Python proficiency: clean scripting, packaging, error handling, structured logging, and enough testing to trust a job running unattended at 2 a.m.

• Power Automate strength across cloud and desktop flows: able to read, debug, and repair complex unattended flows built by someone else, plus the platform administration around them. You do not need to love the platform. You do need to support it capably, including solo coverage when other developers are out.

• REST API integration experience, including authentication patterns and rate-limit handling.

• SQL Server competence: comfortable writing T-SQL and authoring queries, tables, and stored procedures through a reviewed, versioned release process.

• Working knowledge of Azure: DevOps pipelines at minimum; Functions, Container Apps, or AKS exposure a plus.

• Daily fluency with AI-assisted development. You should be able to describe, in concrete detail, how you structure work with an agentic coding tool: what you delegate, what you review, where it fails, and how you catch it.

• PowerShell and shell scripting for glue work on Windows and Linux hosts.

• Production instincts: idempotent jobs, retries with backoff, alerting thresholds that page on real problems and stay quiet otherwise.

• Plain written and verbal communication. You will work directly with non-technical process owners who need to understand what an automation does and what to do when it stops.

Training and Experience:

• 3 to 5 years in automation engineering, RPA, or software engineering roles with automations shipped to production and operated afterward.

• A track record you can walk through: what you built, what broke, and what you changed.

• Demonstrated, current use of AI coding tools in real work. Candidates will be asked to describe their workflow in specifics; vague answers end the conversation.

Job Title - Microsoft Dynamics 365 Project Operations Functional Consultant 

Experience Required - 6+ Years  

Timezone -     3 PM to 11 PM IST

Budget - 1.3 LPM

Work Mode - Remote

Detailed Job Descriptions

The candidate should have strong hands-on experience with Microsoft Dynamics 365 Project Operations and who has worked on at least 2-3 implementation projects, from requirement gathering to delivering the project.

Experience in the following areas is highly preferred:

* Project Tracking & Stage-Gate Management

* Real Estate & Landowner Management

* Environmental & Permitting Processes

* Interconnection Queue Management

* Procurement & EPC Processes

* Budget Tracking & Financial Management

* Stage Hand-offs & Approval Workflows

* Document Management & File Infrastructure

What we’re looking for

✔️ 6–8 years of relevant D365 experience

✔️ Strong functional knowledge of D365 Project Operations

✔️ Hands-on implementation/configuration experience

✔️ Business process mapping and solution design

✔️ Experience working with business stakeholders

✔️ Strong communication and client-facing skills

Job Title:

Customer Support Advisor

Work Type:

Permanent Work From Home

Salary Package:

₹4,54,000 Fixed CTC + Attractive Performance Incentives

Eligibility Criteria:

• Minimum 12th Pass
• Freshers & Experienced Candidates Welcome
• Good Communication Skills Required

Age Criteria:

• 18 to 35 Years
• Women Candidates: Up to 45 Years

Work Details:

• 6 Days Working
• Shift Timing: 10:00 AM – 8:00 PM
• Permanent Work From Home Opportunity
• Laptop Provided by the Company

Language Requirement:

• English + Tamil + Telugu

Employee Benefits:

• Health Insurance for Self & Family
• Term Insurance Coverage
• Stable Long-Term Work From Home Opportunity
• Career Growth Opportunities
• Attractive Performance Incentives

FLUENCY IN ENGLISH + EITHER NEPALI OR GUJARATI IS REQUIRED

📍 Location: Remote (India-wide)  

🖥 Role: *Full-Time | Permanent WFH*  

👤 Candidate Profile Required

- Fluent in English + Gujarati / Nepali

- Fresher or experienced  

- Graduate/Undergraduate  

- Age limit: up to 40 years  

- Must own a device (smartphone, laptop/desktop) and have WiFi access  

💼 Why Support This Role?

- ✅ Permanent Work From Home  

- ✅ Company-provided system  

- ✅ Transparent salaries:  

• Gujarati or Nepali : 5.4 LPA

- ✅ Pan India accessibility  

- ✅ No certification needed — just strong language skills!

📝 Screening Workflow

1. HR Round  

2. AMCAT Assessment (English 70 + Chosen Language) 3+ 

3 OPS round

Business Development Manager – SaaS

Company: Sisuni Technology Pvt Ltd

Location: Bangalore

Employment Type: Full-time, Permanent

Experience: 3–5 years

CTC: ₹5–12 LPA + Performance Incentives

Job Summary

Sisuni Technology Pvt Ltd is looking for an energetic and results-driven Business Development Manager – SaaS to drive customer acquisition and business growth for our technology products, including Serveka E-commerce and HRM Cloud.

The candidate will be responsible for identifying target customers, generating business opportunities, conducting product demonstrations, developing strategic partnerships, negotiating with prospects, and converting opportunities into paying customers.

Key Responsibilities

* Develop and execute B2B SaaS business development strategies.

* Identify potential customers and new market opportunities.

* Generate qualified leads through direct outreach, LinkedIn, email, networking and partnerships.

* Conduct product presentations and demonstrations.

* Understand customer requirements and recommend appropriate solutions.

* Manage the complete sales/business development cycle from prospecting to closure.

* Build relationships with business owners, HR managers, decision-makers and enterprise clients.

* Develop channel, referral and strategic partnerships.

* Negotiate pricing, commercial terms and contracts.

* Maintain an accurate sales pipeline and CRM records.

* Achieve monthly, quarterly and annual revenue targets.

* Monitor competitors and provide market intelligence.

* Work closely with product, technology and customer-support teams.

* Collect customer feedback and communicate product opportunities to management.

* Prepare regular sales forecasts and business development reports.

Required Skills

* 3–5 years of experience in B2B sales/business development, preferably SaaS or technology.

* Strong understanding of SaaS sales cycles.

* Lead generation and prospecting skills.

* Excellent presentation and product-demo skills.

* Strong negotiation and closing ability.

* CRM experience.

* Excellent verbal and written communication.

* Strong relationship-building and networking skills.

* Target-oriented and self-motivated.

* Ability to work independently in a startup environment.

Preferred Experience

Experience selling any of the following is an advantage:

* HRMS / HRM software

* Payroll software

* ERP / business software

* E-commerce platforms

* SaaS products

* Cloud-based business applications

* B2B technology solutions

Performance KPIs

* Qualified leads generated

* Product demonstrations completed

* New customers acquired

* Monthly recurring revenue (MRR) generated

* Annual recurring revenue (ARR) generated

* Conversion rate

* Sales pipeline value

* Customer acquisition cost

* Revenue collected

Ideal Candidate

We are looking for someone who is hands-on, commercially driven and capable of building the sales pipeline from the ground up. The candidate should be comfortable working in a growing technology company and should take ownership of revenue generation rather than relying only on inbound leads.

We're looking for a Marketing intern to build our social media brand.

About Applied AI:

Applied AI is an AI transformation company focused on enterprise businesses. We also run a community of 2000+ people where we train people to work with AI. We build multiple products via our labs.

The role:

Our core objective for this role is to build our digital brand. Success will be measured by the number of impressions and engagement we receive from business leaders in India and Europe.

We will focus on YouTube and LinkedIn as our primary channels and then start building Instagram and TikTok later.

Expectations:

• Take the content we create, edit and make it available on social media.
• Measure engagement, finetune and improve the social media strategy
• Build a core audience of business leaders through high quality content delivery.
• We measure ourselves by quality of work more than quantity of work. Have exceptional benchmark for quality of output.

What you need:

• Experience in building social media brands - personal or professional. Show the work.
• Experience editing high quality videos
• Experience working with AI.

Role Summary

We are looking for an accomplished PowerBi Solution architect to architect and drive scalable, insight-rich analytics solutions across the enterprise. This role sits at the intersection of data engineering, business intelligence, and solution architecture—ideal for a candidate with mastery of modern visualization tools, modeling strategies, and end-to-end data integration.

Key Responsibilities

● Architect and implement scalable Power BI solutions that span data modeling, integration, visualization, and performance tuning

● Design and lead the development of enterprise-grade data models using Star, Snowflake, and composite architecture

● Lead the integration of cloud-based data warehouse platforms including Oracle ADW and Snowflake

● Lead the development of scalable, interactive dashboards using Power BI, driving self-service analytics across business units

● Develop ETL and ELT pipelines to ingest and transform structured, semi-structured, and API-driven data sources

● Implement automated data ingestion and transformation using Python and shell scripting for performance and reliability

● Handle and harmonize data from diverse API sources across applications, platforms, and third-party services

● Deliver interactive dashboards and storytelling experiences tailored for executives, analysts, and operational teams

● Optimize semantic layers, DAX calculations, and deployment pipelines for reusability and governance

● Mentor BI developers and analysts, setting architectural standards and fostering collaboration across analytics teams

● Collaborate with cross-functional teams to translate strategic business goals into robust analytics solutions

Required Qualifications

● 8+ years in Power BI development and analytics Engineering, with 3+ years in architecture leadership roles

● Strong command of DAX, M Query, and performance tuning best practices

● Deep experience in data modeling (Star, Snowflake, composite) and cross-platform architecture

● Hands-on expertise in Oracle ADW, Snowflake, and API-based data ingestion

● Proficiency in Python, shell scripting, and automation of analytics pipelines

● Strong background in ETL/ELT development, data quality assurance, and deployment orchestration

● Demonstrated success in solution architecture across cloud ecosystems such as Azure, Oracle OCI

Preferred Skills

● Experience with Power BI Premium capacity management and deployment pipelines

● Experience with DAX, M language, and performance tuning technique

● Experience integrating third-party BI tools, data lakehouses, and stream processing services

● Effective communicator capable of translating technical architecture into business value

● Exposure to MS Fabric and Azure Data Factor

Software Development Engineer

What you'll do

Be the dedicated engineer for one of our clients. Learn their business, find what to automate, and build it.

Build automations, integrations, and web apps on whatever the client runs business platforms like the Zoho suite, cloud services like Azure, and custom apps where needed.

Work with APIs every day: connect systems, move data, make tools talk to each other.

Own work end to end: hear the problem from the stakeholder, build the solution, ship it, demo it, support it.

Resolve client tickets and bugs fast. Keep their systems and data healthy.

Write things down: clear docs, clear updates, clear commit history.

What we're looking for

2–5 years shipping software that works and being able to read it, debug it, and stand behind it.

Strong with REST APIs and integrations between systems.

Happy working inside business platforms (Zoho, Salesforce, or similar). Much of the leverage in this role lives there, not in custom code.

You can sit in a call with a non-technical client, understand the real problem, and come back with a working solution.

Self-driven. You'll often be the only engineer on a problem.

Why you'll love this role

Full ownership from first call to delivery you run projects, not just a ticket queue.

Direct access to clients and leadership. Your decisions ship the same week.

Constant variety: new systems, new problems, new builds.

About CT Nova

CT Nova is an enterprise learning platform that runs inside our customers’ own cloud. Rather than asking organisations to hand their learner data to someone else’s SaaS, we deploy the entire platform as an Azure Managed Application into the customer’s own Azure tenant — data never leaves their environment, and billing runs through the Azure Marketplace on metered usage.

The product grew out of migrations off Microsoft’s Community Training platform, so our DNA is large-scale, often public-interest training: government skilling programmes, NGO field workforces, enterprise frontline teams. We work with organisations across several regions, some running training at a scale of hundreds of thousands of learners.

The role

·     Title: Founder’s Office — Growth

·     Reports to: The founders, directly

·     Location: Bengaluru preferred; remote considered for the right person. Periodic travel for client meetings.

·     Compensation: Competitive fixed salary, performance-linked variable, and ESOPs.

You will be our first dedicated growth hire, and that word — first — is most of the job. There is no playbook to inherit, no readymade pipeline handed over, and no team beneath you yet.

Almost every customer we have today reached us through Founder network & relationship rather than through a sales motion. That base is real, sticky and expandable. It is also exactly why the next phase has to look different. Your job is to build a new muscle : a repeatable way of finding, winning and growing accounts on our own terms.

This is a Founder’s Office role in the real sense. You will spend time in customer conversations, time in spreadsheets, and time in the room where decisions actually get made. The founders are in these conversations alongside you — this is neither a role where you are sent out alone with a bag and a number, nor one where you produce strategy at a safe distance from the customer.

What you’ll own

·     Customer conversations: Run a standing rhythm of structured conversations across our existing base — not support check-ins, but real discovery into what each organisation is trying to achieve, where the platform gets in their way, and what would justify them expanding.

·     Growth opportunities: Turn those conversations into a ranked, evidence-backed view of where the next tranche of revenue comes from — which accounts can grow, what unlocks each one, which segments deserve concentration, and what we should decline.

·     Expansion and retention: Own the commercial side of the existing base — expansion, renewals, pricing conversations, and account plans that make growth deliberate rather than reactive.

·     The GTM pipeline: Work with marketing to stand up an acquisition engine from close to zero — a defined ICP, positioning and messaging that survives contact with a buyer, an outbound motion, and enough tracking to tell whether any of it is working.

·     Partner motion: Make the Microsoft relationship a deliberate channel rather than an accident of history — Marketplace listing, co-sell readiness, and working relationships with regional systems integrators.

·     Product feedback loop: Sit between customers and engineering. A meaningful share of our expansion revenue is gated by product work — reliability at scale, onboarding, SSO, reporting — so translating commercial urgency into a credible roadmap argument is part of the role, not a side effect of it.

What the first year looks like

·     First 90 days: You have spoken to every meaningful customer and formed your own view of the base. You have written a growth thesis with a ranked opportunity list, and agreed with the founders on where to concentrate.

·     By six months: A working pipeline with self-sourced opportunities in it. Expansion plans live on the top accounts. Positioning and collateral a newcomer could sell from.

·     By twelve months: Revenue growth you can attribute to specific decisions, measurably less dependence on any single account or channel, and a motion documented well enough that the next two hires can run it.

What we’re looking for

Must-haves

·     Commercial ownership: 3–6 years in a role where you carried commercial responsibility for B2B outcomes — GTM at a SaaS or PaaS company, consulting, or an early-stage operating role. Titles matter less to us than evidence that you have owned something end to end.

·     Customer presence: Comfort in front of customers, including technical buyers, and the ability to hold your own on cloud deployment, data residency and total cost of ownership. You do not need to be an engineer; you do need to be unafraid of technical detail.

·     Structured thinking and clear writing: Much of this job is turning messy conversations into a position other people can act on. We will ask to see a written sample.

·     Comfort with low support: There is no CRM hygiene team, no SDR, and no marketing department waiting on your brief. What exists is what you build.

Good to have

·     Exposure to Microsoft’s co-sell ecosystem, Azure Marketplace transactions, or partner-led motions.

·     Experience selling into government, development-sector or education buyers, where cycles are long and procurement is a discipline of its own.

·     Familiarity with LMS/LXP or workforce-development products.

·     Time spent at a company under 30 people.

Who this role isn’t for

We would rather be direct now than waste your time later.

·     If you want a defined territory, an inherited pipeline and a quota to work against, this will frustrate you.

·     If you want a purely strategic seat — market maps and decks, no customer calls — this is not that either.

·     Our base is small and concentrated, the product still has scaling work ahead of it, and some of what you propose will be constrained by engineering capacity. Working inside that tension is the job, not an obstacle to it.

How to apply

Our process: an intro call with a founder, then a written exercise based on a real CT Nova growth problem and a discussion of your response, then a conversation with the founding team, then references. We aim to close within three weeks.

Location - Remote (India)

Key Responsibilities 

• Design, develop, and maintain database schemas, stored procedures, views, and queries in SQL Server and MySQL. 

• Identify and resolve query performance bottlenecks using execution plans, indexing strategies, and tuning techniques. 

• Conduct regular database health checks and performance reviews to ensure optimal operation. 

• Collaborate with development and operations teams to support application data requirements. 

• Write and optimize complex SQL scripts to meet business and operational needs. 

• Support the DBA Team Lead with day-to-day database operations and incident resolution. 

• Assist in monitoring database availability, integrity, and backups. 

• Document database structures, procedures, and changes in a clear and organized manner. 

• Implement best practices for data storage, retrieval, and processing efficiency. 

• Contribute to the continuous improvement of database standards and internal processes. 

• Identify and effectively prioritize situations requiring urgent attention. 

• Stay current with system information, database technologies, changes, and updates. 

• Experience with cloud-managed databases (e.g., Microsoft Azure SQL Database, Amazon RDS) and understanding of scaling, cost optimization, and high availability in cloud environments. 

• Hands-on exposure to database automation and CI/CD practices (schema versioning, deployment pipelines, Infrastructure as Code). 

• Strong knowledge of high availability and disaster recovery design, including replication, failover, and defined RPO/RTO ownership. 

• Familiarity with database security best practices (encryption, access control, auditing, and protection of sensitive/regulated data). 

• Experience with monitoring and observability tools, with a proactive approach to performance tuning and alerting. 

• Scripting ability (PowerShell, Python, or Bash) to automate routine database operations and reduce manual effort. 

• Experience with database migrations, version upgrades, or modernization initiatives (on-prem to cloud or legacy to current platforms). 

• Ability to operate in a DevOps-oriented environment, partnering closely with engineering teams and owning database performance tied to application SLA. 

• Proficiency in T-SQL and/or standard SQL. 

• Ability to multi-task and adjust priorities quickly in a fast-paced environment. 

• Ability to research and implement solutions using available technical resources. 

• Strong analytical and problem-solving skills with attention to detail. 

• Ability to clearly communicate technical concepts to non-technical stakeholders. 

• Advanced knowledge of database performance tuning and query optimization. 

• Familiarity with cloud database platforms such as Microsoft Azure SQL, AWS   RDS, or equivalent. 

• Experience with database deployment automation and CI/CD pipelines. 

• Understanding of high availability, disaster recovery, and data protection strategies. 

• Working knowledge of database monitoring and performance management tools. 

• Basic scripting skills (PowerShell, Python, or Bash) for automation. 

• Awareness of data security and compliance considerations in regulated environments. 

Required Skills 

• Proven working experience as a Database Administrator or in a similar role. 

• Working knowledge of Microsoft SQL Server (SSIS, T-SQL, DDL, SML) 

• Working knowledge of MySQL or MariaDB. 

• A minimum of 5 years of experience in database administration. 

• Understanding of database normalization and data modeling principles. 

Nice to Have 

• MacOS, iOS, Android, Linux OS beneficial but not required. 

• ETL processes or data warehouse experience beneficial but not required. 

• Microsoft Certified: Azure Database Administrator Associate or equivalent SQL Server certification preferred but not required. 

• MySQL certification preferred but not required. 

Business Analytics Developer

Experience – 4+ years

Location – Remote (India)

Requirements:

• Translating requirements into technical specifications for reporting.
• Review stakeholder business specifications for understanding development needs.
• Design and develop custom data analytics solutions (SSRS, and SQL stored procedures, views and functions).
• Design and develop Power BI Reports and Dashboards for meeting business stakeholder needs.
• Design, develop, and thoroughly test all developed scripts.
• Perform ad hoc data analysis as needed or required.
• Monitor KPIs and create alerts when thresholds are met or exceeded.
• Use advanced level calculations on the data set using DAX functions within Power BI.
• Test all dashboard visualization and code ensuring functionality and expected performance measures.
• Fully document the process used and the methodologies implemented.
• Train and support end users in using Power BI dashboards.
• Ensure data security and compliance with best practices following internally provided SQL Standards.

Skills needed:

• Minimum 4 years professional experience as a Power BI Developer.
• Minimum 4 years SSRS development experience.
• Minimum 4 years SQL Server development experience.
• Proficiency in Power BI Development, including report and dashboard creation.
• Strong understanding of data modeling and data visualization concepts.
• Experience with T-SQL for data manipulation and extraction
• Knowledge of Data Analysis Expressions (DAX) for creating calculations.
• Excellent attention to detail and problem-solving skills.
• Excellent communication and collaboration skills.
• Proven ability to effectively communicate complex technical information to non-technical audiences.
• Ability to work independently and/or as a part of a team.
• Adaptability to ever changing business requirements.
• Ability to build rapport, cultivate working relationships and drive collaboration across teams.
• Bachelor’s degree in computer science, relevant fields and/or equivalent work experience.

Nice to have:

Microsoft Power BI Data Analyst Associate

Data Analyst Associate or

Azure Data Scientist Associate Certification is a plus

AI Platform Engineer, OpenShift / NVIDIA (Freelance)

Positions: 1

Experience: Ideally 6-10 years.

Mission

Own deployment and operation of the underlying enterprise AI/model-serving platform.

Mandatory capabilities

• Kubernetes
• Red Hat OpenShift
• Containers/Docker/OCI
• Helm
• Linux
• CI/CD
• GitOps
• Networking
• Secrets/certificates

Registries

• Monitoring/observability

Priority AI infrastructure experience

• OpenShift AI
• KServe
• NVIDIA GPU Operator
• NVIDIA NIM
• NVIDIA AI Enterprise
• GPU inference
• Open-weight LLM deployment
• vLLM or comparable serving engines
• GPU monitoring and performance optimization

Candidates should understand practical inference concepts including tokens/sec, TTFT, prefill vs decode, context length, KV cache, prefix caching, batching, concurrency, GPU memory, quantization and model routing.

Enterprise Integration Engineer, ServiceNow / Splunk (Freelance)

Positions: 2

Experience: Ideally 5-9 years.

Mission

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

Priority skills

We particularly want candidates with a combination of:

ServiceNow + Splunk + API engineering

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

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

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

Engineering fundamentals

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

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

Senior Agentic AI Engineer - (Freelance)

Positions: 2

Experience: Ideally 4(J–(J8 years with strong software-engineering fundamentals and recent hands-on Agentic AI experience.

Mission

Build UC2's governed AI agents capable of reasoning across and interacting safely with enterprise IT systems.

Mandatory capabilities

• Python
• LangGraph
• Agentic AI
• Tool/function calling
• Stateful workflows
• Structured outputs
• Human-in-the-loop
• Guardrails
• Agent state/checkpointing
• Agent evaluation
• FastAPI
• REST APIs
• Async Python

Retry/timeout/error handling

Highly desirable

MCP, LangChain, Semantic Kernel, agent observability, event-driven architecture and experience integrating AI agents with ServiceNow/Splunk/Confluence or similar enterprise platforms.

The candidate should understand how to engineer:

Lead RAG / Knowledge AI Engineer - (Freelance)

Positions: 1

Experience: Ideally 6–10 years, with strong recent production RAG experience.

Mission

Own UC1's permission-aware enterprise knowledge and retrieval architecture.

Mandatory capabilities

• Python
• Production RAG
• Embeddings
• Vector search
• Hybrid search
• BM25/sparse retrieval
• Semantic search
• Document chunking
• Metadata extraction/filtering
• Query transformation
• Reranking
• Context engineering
• Grounded generation
• Citation generation
• Hallucination mitigation
• RAG evaluation

Strong experience with Milvus, pgvector, Qdrant, Weaviate, Pinecone, Elasticsearch/OpenSearch vector search or equivalent.

Major differentiator

Prior implementation of:

User Identity $B"*(J Source ACL $B"*(J Retrieval Filter $B"*(J Search $B"*(J Reranking $B"*(J Authorized Context $B"*(J LLM

Experience with SharePoint, Microsoft Graph, Microsoft 365, Confluence and Entra ID/Azure AD should receive significant preference.

Principal Enterprise GenAI / Agentic AI Architect - (Freelance) 

Positions: 1

Experience: Ideally 10–16 years overall, with significant recent hands-on GenAI/LLM architecture experience.

Mission

Own the end-to-end architecture across RAG, Agentic AI, enterprise integrations, model serving, security, evaluation, observability and production deployment.

This should not be a PowerPoint-only architect. We need someone technically deep enough to review code, challenge engineering decisions, troubleshoot RAG/agent behaviour and interact credibly with customer architecture/security/platform teams.

Mandatory capabilities

• Enterprise GenAI architecture
• Production RAG
• Agentic AI architecture
• Python
• LangGraph or comparable stateful orchestration
• Tool/function calling
• Human-in-the-loop workflows
• Vector databases
• Embeddings/reranking
• LLM/RAG/agent evaluation
• REST APIs/microservices
• Enterprise IAM
• RBAC/ABAC
• AI security and prompt-injection mitigation
• Kubernetes
• CI/CD and LLMOps/MLOps
• Enterprise observability

Highly desirable

OpenShift/OpenShift AI, NVIDIA NIM, KServe, NVIDIA GPU Operator, open-weight LLM deployment, ServiceNow, Splunk, Microsoft Graph and previous banking/financial-services experience.

Software Developer

We are looking for a skilled Developer to design, develop, test, and maintain web and mobile applications. The candidate should have experience with modern development technologies, APIs, databases, cloud platforms, Git/GitHub, and AI integration. Good problem-solving, teamwork, and communication skills are required.modern full-stack developer, a strong combination is React/Next.js + Node.js/Python + PostgreSQL/MongoDB + Git/GitHub + AWS + AI/API integration.

About the Role

We are looking for an Audience Engagement Lead to build and grow audiences across YouTube, Shorts, LinkedIn, Instagram and WhatsApp communities, and convert event registrations into website traffic and engaged communities.

Key Responsibilities

• Drive follower and engagement growth.
• Increase website traffic and conversions through social media and third-party platforms.
• Manage YouTube, LinkedIn, Instagram and WhatsApp communities.
• Script, shoot and edit short-form videos.
• Build and manage communities with a focus on engagement and retention.
• Conduct regular webinars and group sessions.
• Track and analyze social media performance.

Requirements

• 1–2 years of experience building an audience for a technical or student-facing Indian brand.
• Experience managing a community of 10,000+ with focus on retention and engagement.
• Strong technical English copywriting skills.
• Good anchoring and presentation skills.
• Knowledge of social media management and analytical tools.
• Hands-on experience with short-form video content.

Preferred Background

Developer communities, technical platforms, hardware companies, or B2B technology event marketing.

Not a Fit

Consumer-brand or agency social media profiles focused mainly on followers or impressions.

Sisuni Technology Pvt Ltd is looking for a proactive HR & Talent Acquisition professional to build and manage our growing technology team. The HR will be responsible for end-to-end recruitment, employee onboarding, HR operations, performance management, employee engagement, and coordination of payroll and statutory compliance.

Key Responsibilities:

* Manage end-to-end recruitment for developers, QA, DevOps, UI/UX, sales and support roles.

* Source candidates through LinkedIn, Naukri, Cutshort and other recruitment channels.

* Screen CVs and conduct initial HR interviews.

* Coordinate technical interviews with the Engineering Lead.

* Prepare offer letters and manage joining formalities.

* Handle employee onboarding and maintain personnel records.

* Manage attendance, leave and HR documentation.

* Coordinate monthly payroll with the finance/CA team.

* Develop and implement HR policies and processes.

* Manage employee performance reviews and probation confirmations.

* Handle employee engagement and workplace issues.

* Coordinate statutory HR compliance and employment documentation.

* Manage resignations, notice periods and full-and-final settlements.

* Maintain a healthy company culture as Sisuni expands.

About the Role

We are looking for a Search & Content Performance professional who can improve organic traffic and content performance across our digital platforms.

The ideal candidate should have experience working with a digital publisher, education content site, or similar content-driven platform.

Key Responsibilities

• Manage organic search traffic and AEO performance.
• Analyze Google Search Console and Google Analytics data.
• Work on content clean-up and consolidation across large numbers of web pages.
• Improve on-page content standards and internal linking.
• Maintain index hygiene and identify technical content issues.
• Work on structured data and improve search visibility.
• Edit technical English content written by engineers and make it easy for general readers to understand.
• Support AI-assistant and search visibility initiatives.
• Use basic Python or Google Sheets scripting for working with Search Console and GA4 data.

Requirements

• 1–2 years of relevant experience, preferably with a digital publisher or education content platform.
• Strong hands-on experience with Google Search Console.
• Experience handling content clean-up or consolidation projects involving 1,000+ web pages.
• Ability to understand traffic changes after content optimization.
• Good English editing skills.
• Basic knowledge of Python or scripting in Google Sheets.
• Good understanding of organic search, content optimization, internal linking, indexing, and structured data.

Preferred Background

Candidates from digital publishers, ed-tech/study-content platforms, or developer/engineering content platforms would be preferred.

Not a Fit

Profiles primarily focused on link building, local business search, or e-commerce listings may not be suitable for this role.

Job Summary

We are seeking an experienced Integration Support Engineer with 2+ years of experience in enterprise integration and production support. This role will act as the complete owner of the customer support board — managing, triaging, and resolving support tickets end to end while coordinating with engineering, product, and implementation teams. The ideal candidate has strong hands-on experience with Boomi or another iPaaS platform, deep working knowledge of databases and REST APIs, and a track record of rigorous testing and validation. Experience with Intapp Integration Builder is a plus.

Work Hours: 6:00 PM – 5:00 AM, with flexible breaks during the shift.

Key Responsibilities

• Own the customer support board end to end — triaging incoming tickets, managing priority and status, and driving each issue through to resolution.

• Serve as the frontline point of contact for customers on integration issues, providing clear, timely communication throughout the life of a ticket.

• Debug and troubleshoot integrations built on Boomi or other iPaaS platforms, performing root-cause analysis and resolving incidents within SLAs.

• Write, optimize, and troubleshoot SQL queries against production and staging databases for data validation, reconciliation, and issue investigation.

• Work extensively with REST/SOAP APIs, FTP/SFTP, and data formats such as JSON and XML to diagnose and resolve integration failures.

• Test and validate reported issues, including reproducing defects, verifying fixes, and confirming resolution before closing tickets.

• Participate in integration design and enhancement work, contributing to the build and improvement of existing integration processes.

• Take up new development and change requests, following SDLC practices — design, build, test, and deploy — to release changes safely to production.

• Work across internal teams — engineering, product, and implementation — to triage incoming issues, determine ownership, and coordinate resolution.

• Collaborate closely with engineering, product, and implementation teams to resolve both technical issues (database, integration, and server-side) and business/process issues.

• Stay flexible and continuously build cross-functional knowledge, since resolving tickets often requires learning new systems and business workflows on the fly.

• Maintain technical documentation, support guides, and troubleshooting procedures.

Qualifications:

• Bachelor's degree in Computer Science, IT, or a related field.

• 2+ years of experience in integration engineering, integration support, or a similar role.

• Hands-on experience with Boomi or another iPaaS platform.

• Strong, demonstrable skills in SQL and database troubleshooting — this role requires day-to-day, hands-on database work.

• Strong REST/SOAP API knowledge, including testing, debugging, and validating API-based integrations.

• Solid experience with structured testing and validation practices for integration issues.

• Good understanding of integration patterns, cloud technologies, and production support.

• Strong analytical, communication, and stakeholder-management skills.

• Ability to work flexibly across engineering, product, and implementation stakeholders, and to quickly learn new systems and domains.

• Willingness and ability to work the required shift: 6:00 PM – 5:00 AM.

Preferred Skills

• Boomi or relevant iPaaS certification.

• Experience with Intapp Integration Builder.

• Knowledge of Azure Functions, Logic Apps, and other Azure services.

• Experience with monitoring, logging, and integration observability.

What We Offer

Competitive salary and benefits, work-from-home flexibility, a dynamic work environment, and opportunities for professional growth while working on enterprise-grade integrations.

AEM Developer | Remote | Up to 15 LPA*

*Experience:* 5+ Years | *Location:* Remote | *Interview Process:* 2 Rounds

You’ll work within the *Experience and Content pod*, delivering content fragments, templates, Workfront campaign workflows, and personalization integrations with *Adobe Experience Platform (AEP) & Adobe Journey Optimizer (AJO)*.

#### *What you’ll do:*

- Develop and maintain *AEM as a Cloud Service (AEMaaCS)* using Cloud Manager, RDE, and promotion pipelines

- Build *Editable Templates, Core Components, Content Fragments, Experience Fragments* with HTL/Sightly

- Implement *OSGi bundles, Sling Models, Servlets* with clean separation of content and logic

- Configure *Dispatcher, caching rules, CDN basics* for performance

- Integrate *AEP for offer decisioning* and *AJO for segment-driven content rendering*

- Configure *Workfront campaign workflows* and content approval automation

- Work in *Agile 2-week sprints* with Jira, daily standups, SIT & BUAT participation

- Author component specs, integration notes, and runbooks for handover

- Write unit tests using *JUnit 5, Mockito, AEM Mocks*

#### *Must-Have Requirements:*

- *5+ Years* overall experience with *2+ Years in AEM Sites development*

- Hands-on with *AEMaaCS*: Cloud Manager, RDE, promotion pipeline

- Strong in *Java 11+*, *HTL, OSGi, Sling Models*

- *4+ Years Java* + Front-end: *HTML5, CSS3, JavaScript ES6+*

- Experience with *Maven, Git, PR-based review workflow*

- Good understanding of *Adobe Experience Platform & Adobe Journey Optimizer*

- Strong written English and collaboration skills

#### *Good to Have:*

- *AEM Assets, Dynamic Media* experience

- *Adobe Certified Developer* — Sites or Architect track

- *Headless/Hybrid AEM*: GraphQL Content Fragment API, SPA Editor, React/Next.js

- *GenStudio for Performance Marketing, Frame.io, Adobe Launch*

- Exposure to *Telecom, BFSI, or CVM/offer management* domains

- Multi-brand / multi-site AEM with MSM and shared libraries

#### *Tech Stack:*

*CMS:* AEMaaCS, Sites, Assets, DAM  

*Campaign:* Adobe Workfront, GenStudio, Frame.io

*Personalization:* AEP, AJO, Offer Decisioning  

*Languages:* Java 11+, HTL, JS ES6+, HTML5, CSS3  

*Build/CI:* Maven, Cloud Manager, Git, Docker  

*APIs:* AEM GraphQL, REST, Adobe IO Events, Content Fragment API  

*Testing:* JUnit 5, Mockito, AEM Mocks, SIT/BUAT

About the Role:

We are looking for an ideal candidate with 5+ years of experience in Data Science / Machine Learning, with strong hands-on experience in Generative AI, Large Language Models (LLMs), NLP, and AI-powered applications. The candidate should be comfortable working across the complete AI lifecycle—from understanding business requirements and experimenting with models to building, evaluating, deploying, and monitoring production-grade GenAI solutions.

The role requires a combination of strong technical expertise, business understanding, problem-solving ability, and stakeholder management skills.

Key Responsibilities:

Generative AI & LLM

·      Design, develop, and deploy Generative AI and LLM-based solutions for enterprise use cases.

·      Work with models such as OpenAI, Azure OpenAI, Llama, Mistral, Gemini, or equivalent LLM platforms.

·      Develop applications using prompt engineering, structured outputs, function/tool calling, and LLM orchestration.

·      Design and implement Retrieval-Augmented Generation (RAG) solutions.

·      Work with vector databases and semantic search for enterprise knowledge retrieval.

·      Develop and evaluate AI agents and multi-step AI workflows.

·      Implement techniques such as prompt optimization, context management, grounding, and hallucination reduction.

·      Develop AI solutions for text classification, summarization, information extraction, question answering, document intelligence, and other enterprise use cases.

Machine Learning & Data Science

·      Develop and optimize traditional Machine Learning and statistical models where appropriate.

·      Perform data exploration, feature engineering, model selection, training, validation, and evaluation.

·      Apply appropriate ML and statistical techniques to solve business problems.

·      Work with structured, unstructured, and semi-structured data.

·      Develop scalable data pipelines to support AI/ML solutions.

·      Collaborate with Data Engineers to prepare and manage data for AI applications.

AI Evaluation & Productionization

·      Design evaluation frameworks to measure LLM accuracy, relevance, groundedness, toxicity, latency, and cost.

·      Implement guardrails and responsible AI practices.

·      Monitor model and application performance in production.

·      Identify model/data drift and implement appropriate improvement strategies.

·      Optimize AI solutions for performance, scalability, reliability, and cost.

·      Support deployment and productionization of AI/ML solutions.

·      Client & Delivery Responsibilities

·      Work closely with the CEO, Delivery team, Solution Architects, Engineering teams, and clients to understand business problems and identify AI opportunities.

·      Translate business requirements into practical AI/ML solutions.

·      Participate in client discussions, solution presentations, technical workshops, and POCs.

·      Develop rapid prototypes and demonstrate the feasibility of GenAI solutions.

·      Convert successful POCs into scalable, production-ready applications.

·      Provide technical guidance and contribute to AI solution architecture.

·      Prepare technical documentation, solution approaches, and project estimates where required.

·      Stay current with developments in Generative AI, LLMs, Agentic AI, and AI engineering.

Required Skills:

·       5+ years of hands-on experience in Data Science, Machine Learning, AI, or a related field.

·      Strong practical experience in Generative AI and LLM-based applications.

·      Strong proficiency in Python.

·      Strong understanding of Machine Learning and statistical concepts.

·      Hands-on experience with:

o       LLMs

o       Prompt Engineering

o       RAG

o       Vector Databases

o       Embeddings

o       Semantic Search

o       LLM Evaluation

o       AI Guardrails

·      Experience with frameworks/tools such as LangChain, LangGraph, LlamaIndex, or equivalent.

·      Experience with APIs and integrating LLMs into enterprise applications.

·      Strong SQL and data handling skills.

·      Experience working with large and complex datasets.

·      Strong understanding of NLP concepts.XX

Technical Skills:

·      Experience with OpenAI / Azure OpenAI / AWS Bedrock / Google Vertex AI.

·      Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, or equivalent.

·      Experience with Databricks, Snowflake, or cloud data platforms.

·      Experience with Docker and CI/CD.

·      Exposure to AWS, Azure, or GCP.

·      Experience with ML/AI deployment and MLOps.

·       Knowledge of AI security, data privacy, governance, and responsible AI.

·      Experience building AI Agents / Agentic AI workflows.

·      Experience with multimodal AI is an added advantage

Key Competencies

·      Strong analytical and problem-solving ability.

·      Ability to translate business problems into practical AI solutions.

·      Strong communication and presentation skills.

·      Ability to interact confidently with senior stakeholders and clients.

·      Strong ownership and delivery mindset.

·      Ability to work independently in a fast-paced environment.

• Strong experimentation and innovation mindset.
• Ability to balance technical feasibility, business value, scalability, and cost.

Required Education & Experience:

·      Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related discipline

Senior Full-Stack Developer — Next.js / Supabase

Remote • Ongoing • Long-Term

We are building a custom technology platform that powers our artists, clients, bookings, event production, communications, and finances. The core application is already live — now we're looking for a senior full-stack developer to take ownership and help us finish, improve, and scale it.

The Stack

• Next.js / App Router
• TypeScript
• Tailwind CSS
• Supabase / PostgreSQL / Auth / RLS / Storage
• Vercel
• Twilio, Resend, BILL, OpenAI
• React Native / Expo planned for mobile

What You'll Do

Phase 1 — Finish the Platform

Complete the remaining client and financial systems, including:

• Client portal
• Event & music planning
• Timelines and documents
• Training portal
• QuickBooks integration
• Financial dashboards
• Workflow automation
• Reporting

Phase 2 — Own & Scale It

Once the platform is complete, you'll become a key technical owner — maintaining the system, fixing issues, shipping new features, and continuously improving the product as our team uses it in real-world operations.

What We're Looking For

You should be comfortable taking over an existing production codebase — not rebuilding it.

We need someone who:

• Is strong with Next.js, TypeScript, PostgreSQL, and Supabase
• Understands RLS and role-based permissions
• Can read, understand, and extend another developer's work
• Writes clean, maintainable code
• Documents technical decisions and implementation details
• Communicates clearly in English on video calls
• Can explain why they built something a certain way
• Works well from ClickUp tasks with defined acceptance criteria
• Takes ownership rather than waiting to be told every step

How We Work

We move fast, but we don't operate chaotically.

You'll work directly with the project owner and project manager. Work is broken into small, reviewable milestones, with clear objectives and acceptance criteria.

We value visible progress, clean documentation, thoughtful engineering, and accountability.

No disappearing for two weeks and showing up with a giant PR. We want to see the work evolve through commits and regular updates.

One Important Thing

This is not a greenfield project.

You're taking over a live application built by another developer. The architecture is solid and the infrastructure is clean, but documentation is partial. We expect a ramp-up period and have budgeted for it.

If your first instinct when joining an existing codebase is to say, "I'd rebuild this differently," this probably isn't the right role.

If your instinct is, "Let me understand what they've built, identify what's working, and make it better," we want to hear from you.

Long-Term Opportunity

After the web platform is complete, we're planning a native mobile application using React Native / Expo on the same backend.

This is intended to be an ongoing relationship for the right developer — not a one-off project.

To Apply

Tell us:

1. What is the most complex existing codebase you've taken over?
2. What did your first two weeks look like?
3. How many hours per week are you available?
4. What is your hourly or project rate?

We're looking for a senior developer who wants to take ownership, build something real, and stay with it long term.

Sales Development Representative (SDR)

Growth & Sales · Remote · Full-time

We're hiring our next SDR to build Lobox's outbound engine from the ground up — not to work a script someone else wrote three years ago.

Lobox is a SaaS platform built for the people who do the hiring: HR leaders, founders, and hiring managers. You'll be the first conversation those people have with us. That means the quality of your outreach directly shapes how the market sees the brand, and the pipeline you build directly shapes what the company can sell next quarter.

This is a high-ownership seat on a small team. There's no layer of process between you and the decisions — if a channel isn't working, you'll say so, and we'll change it.

What you'll do

Research and identify B2B accounts that fit our hiring-focused ICP

Run outbound across LinkedIn, cold calls, and email — and tell us which one is actually working

Start real conversations with HR leaders, founders, and hiring managers

Qualify prospects against their hiring needs and business fit

Book qualified product demos for our AEs and sales leadership

Keep CRM and Jira records clean enough that the whole team can trust the pipeline numbers

Hit monthly meeting-booking and pipeline targets

Work directly with Growth to sharpen messaging, sequences, and targeting

What you'll be measured on

We'd rather be upfront about this than surprise you in month two:

Qualified meetings booked

Opportunities generated and pipeline value created

Outreach volume across calls, emails, and LinkedIn

Meeting-to-opportunity conversion rate

CRM hygiene and reporting accuracy

What we're looking for

2–3 years in B2B SaaS sales as an SDR, BDR, or Business Development Representative/Executive

Real outbound experience — you've picked up the phone to strangers and kept going after the first ten no's

Excellent spoken and written English — you'll be talking to founders and senior HR leaders

CRM discipline — you log the work without being chased

A learning attitude. After training, you should be comfortable delivering a confident 15-minute product demo.

A startup mindset — you're motivated by ambiguity and ownership, not by a playbook handed to you

Nice to have.

Experience selling into HR, recruitment, or talent teams

LinkedIn Sales Navigator

Jira, or comfort working in a ticket-based workflow

AI productivity tools in your daily outbound stack

Why join Lobox

Ground-floor pipeline ownership. You're building the outbound motion, not maintaining it.

Direct access to leadership. Your final interview is with our founder — and that's roughly how often you'll talk to leadership once you're here.

Fully remote, India-based team. Kolkata preferred so we can meet up, but not required.

A clear path forward. SDRs who consistently generate qualified pipeline are the obvious internal candidates for AE and senior SDR roles as the team grows.

Our hiring process

Intro screen — a call to talk through your background, communication, and how you think about outbound

Interview (Google Meet, video on) — sales approach, discovery, objection handling, and where you want your career to go

Final conversation with our founder — team and culture fit, compensation, and offer

We move fast and we'll tell you where you stand at every step.

POSITION OVERVIEW

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

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

KEY RESPONSIBILITIES

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

TECHNICAL QUALIFICATIONS

Core Development & Backend:

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

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

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

Machine Learning & AI Infrastructure:

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

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

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

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

CONTRACT & REMOTE REQUIREMENTS

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

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

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

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