Engineering Manager - Hospitality Background

About the Role:

We are seeking a skilled Data Engineer to join our growing AdTech team. In this role, you will design, build, and maintain high-performance ETL pipelines and large-scale data processing systems. You will work with massive datasets and distributed frameworks to power Adsremedy’s data-driven advertising solutions across Programmatic, In-App, CTV, and DOOH platforms.

What You’ll Do:

• Design, develop, and maintain scalable ETL pipelines on self-managed infrastructure
• Process and optimize large-scale datasets (terabytes of data) with high reliability and performance
• Build robust data processing workflows using Apache Spark (preferred) and/or Apache Flink
• Integrate, clean, and transform data from multiple internal and external sources
• Partner closely with data scientists, analysts, and business stakeholders to enable actionable insights
• Monitor, troubleshoot, and optimize data pipelines for operational excellence
• Ensure data quality, consistency, and performance across all data workflows
• Participate in code reviews and uphold best practices in data engineering
• Collaborate with QA teams to deliver production-ready, reliable systems
• Mentor junior engineers and promote knowledge sharing within the team
• Stay current with emerging data engineering tools, frameworks, and industry trends

What You’ll Need:

• 2+ years of experience building ETL pipelines using Apache Spark and/or Apache Flink
• Hands-on experience with big data caching solutions such as ScyllaDB, Aerospike, or similar
• Strong understanding of data lake architectures and tools like Delta Lake
• Proven experience handling terabytes of data in distributed environments
• Proficiency in Scala, Python, or Java
• Experience working with cloud data platforms (AWS S3, Azure Data Lake, Google BigQuery)
• Strong knowledge of SQL, data modeling, and data warehousing concepts
• Familiarity with Git and CI/CD workflows
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment

Nice to Have

• Experience with Apache Kafka for real-time data streaming
• Familiarity with Apache Airflow or similar orchestration tools

Core AI Backend Engineer – LLM Fine-Tuning

You know that moment when you don’t just debug code — you train a model, fine-tune it, and suddenly it understands your domain better than you expected? That’s the kind of magic we’re looking for.

We’re building something that turns chaotic social video data into crystal-clear business intelligence. Not just another API — but AI-backed architecture fine-tuned to our world. Systems that marketing teams thank you for, because they feel the intelligence, not just the infrastructure.

Either you feel the craft when you read this, or you don’t. This isn’t just another backend role. This is where you bring together scalable systems and cutting-edge LLMs to build something the world hasn’t seen before.

Who We Are

We’re a small, global team that ships fast. Every line of code and every model choice affects millions of video analysis requests.

Our engineers don’t just build APIs — they architect solutions, they optimize at scale, and now, they fine-tune models to make AI work in the real world. Our CPTO still codes. Our senior engineers make complexity look effortless. Our backend team sets a standard that others ask how we move so fast.

What We Need

We need someone who’s lived both sides of this life:

• Backend excellence: building high-scale, high-performance systems.
• LLM fine-tuning: hands-on with open-source models, not just calling APIs.

Someone who can sit with a requirement at 2pm and by 6pm not only has endpoints working, but also has a fine-tuned model running behind them — customized to our use case.

Your Craft

• JavaScript/TypeScript & NodeJS as core backend tools.
• Next.js for full-stack where needed.
• Rust when performance is non-negotiable.
• Golang/Python as comfortable tools of choice.
• MySQL/Postgres/Redis — wielded with intention.
• AWS ecosystem — your playground, not your puzzle.
• LLM/AI integration you’ve actually shipped.
• Open-source LLM fine-tuning experience:
• Bringing in open-source models (LLaMA, Mistral, Falcon, etc.).
• Fine-tuning/adapting them for specific domains.
• Optimizing for inference cost, latency, and accuracy.

The Reality

The work is beautifully complex. The scale is real and growing. The problems are the kind that wake you up at 3am with solutions.

If you get your energy from building backend systems and adapting LLMs to make them smarter for real-world use, you’ll probably fall in love with what we do. If you’re only interested in APIs without touching models, this won’t be your thing — and that’s completely okay.

How to Apply

If you’re reading this thinking “finally, a team that actually cares about real AI engineering” — we’d love to see something you’ve built.

Not just a resume. Show us your craft:

• An LLM fine-tuning repo.
• A domain-adapted model you worked on.
• A system design where you combined backend and AI.
• Or even a short write-up or voice note explaining what you’ve fine-tuned.

We’re genuinely excited to see what you’ve done and have a meaningful conversation about whether this could be magic for both of us.

Java Full Stack Developer

Experience required-4.5 to 7yrs

Mandatory Skills- Front end- HTML, CSS, Javascript, Angular/React

Back end- Java, Springboot/Node/Python, Any SQL/RDBMS, OS

Jenkins for Deployment

• Achieving Stretched Targets In A Result-Focused Environment.
• Making Powerful Sales Presentations Resulting In High Conversion Ratio.
• Handling Objections And Resolving Member/ Customer Conflicts By Constantly Connecting With Them Through Member Meetings.
• Maintaining Strong Client Relationship And High Level Of Customer Service.
• Preparing Pre-Sales Proposals For Prospective Clients.
• Identifying Potential Customers And New Business Opportunities Within And Outside The Venue.
• Keeping Abreast With The Organization's Products And Services.
• Maintaining Consistent Average Productivity.
• Provide Necessary Support In Booking First Time Holiday For New Members And Generate Quality Referrals From Them.
• Qualifications -1 To 5 Years' Quota Carrying Sales Experience
• Experience And Working Knowledge Of CRM Systems
• Demonstrable Track Record Of Over-Achieving Quota
• Strong Written And Verbal Communication Skills

• Should have develop Native Mobile Applications.
• Should have worked on SQLite, Retrofit, Firebase etc.
• Must have knowledge working on Hybrid Applications.
• Additional advantage if worked of frameworks like React Native, Flutter etc.
• Advantage having working knowledge of Kotlin.
• Certification done is an additional advantage.
• Even candidate should have very good debugging skills.
• Clear about Object Oriented Programming Concepts.
• Must have knowledge of working with api's and working with databases.

• Ability to work independently and take ownership of the project.
• Should be capable to work in a team.
• Must have strong communication skills.
• Should be enthusiasts and able to take challenge

• Should have exp. 01 to 02 years
• Should have expert level knowledge of HTML5, CSS3, JavaScript, Angular and writing cross browser compatible code
• Good understanding of AJAX and JavaScript Dom manipulation, Responsive Design
• Proficiency with building Single Page Apps using Javascript component libraries.
• Should have experience in Agile Software Development projects
• Should have good hands on experience with Object oriented JavaScript and Design Patterns
• Should have knowledge on experience on Java, Web services using REST /SOAP over JSON is a plus

Job Types: Full-time, Walk-In