Software Engineer - Ruby on Rails

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.

TECHNICAL MANAGER

Department: Product Engineering Location: Noida/Chennai

Experience: 12+ years with 2+ years in a similar role

Job Summary:

We are looking for an inspiring leader to lead a dynamic R&D team with a strong “Product & Customer” spirit. As an Engineering Manager, you will be responsible for the entire process, from design and specification to code quality, process integration and delivery performance

Key Responsibilities:

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Collaborate closely with Product Management teams to design and develop business modules.

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As a manager, coordinate a diverse team and ensure collaboration between different departments. Empathetic and fair yet demanding management with particular attention to operational excellence.

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Actively participate in resolving technical issues and challenges that the team encounters during development and escalated client implementation and production issues

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Anticipate technical challenges and work to address them proactively to minimize disruptions to the development process. Guides the team in making architectural choices

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Promote and advocate for best practices in software development, including coding standards, testing practices, and documentation.

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Make informed decisions on technical trade-offs and communicate those decisions to the team and stakeholders.

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Be on top of critical client/ implementation issues and keep stakeholders informed.

PROFILE

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Good proficiency overlaps with technologies like: Java17, Spring, SpringMVC, RESTful web services, Hibernate, RDBMS, Spring Security, Ansible, Docker, Kubernetes, JMeter, Angular.

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Strong experience in development tools, CI/CD pipelines. Extensive experience with Agile.

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Deep understanding of cloud technologies on at least one of the cloud platforms AWS, Azure or Google Cloud

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Strong communicator with ability to collaborate cross-functionally, build relationships, and achieve broader organizational goals.

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Proven leadership skills

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Product development experience preferred. Fintech or lending domain experience is a plus.

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Engineering degree or equivalent.

• 6+ years of experience in Java backend development with expertise in Spring/Spring Boot and RESTful services.
• Solid grasp of Object-Oriented Programming (OOP), system design, and design patterns.
• Proven experience leading a team of engineers or taking ownership of modules/projects.
• Experience with AWS Cloud services (EC2, Lambda, S3, etc.) is a strong advantage.
• Familiarity with Agile/Scrum methodologies and working in cross-functional teams.
• Excellent problem-solving, debugging, and analytical skills.
• Strong communication and leadership skills.

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

REQUIREMENTS:

• Must have Skills: Node JS, Microservices architecture (MSA) (Capable),Javascript/Typescript, AWS S3/ LAMBDA/ EC2/DYNAMODB
• Cloud developer with a minimum of 6 years of experience Technical skills in most of the following areas
• Expert in developing REST Services and APIS using JavaScript, TypeScript NodeJS is a must 
• Implementing Serverless Software development using Amazon Lambda written in NodeJS is desirable.
• Services including AWS IoT, S3, RDS, IAM, Cognito, SNS, VPC, EBS, AWS Route 53, and Cloud Watch is a must
• Proficient in database concepts including schema design, querying, performance tuning, and debugging (Both SQL and No-SQL databases)
• Strong experience in designing and developing enterprise cloud-based IoT solutions using AWS
• Develop Web, APIs, IoT & Cloud based solutions is a must
• Ability to write automated unit test cases using mocking frameworks (Jasmine, Mocha, chai, Jest, etc.)
• Experience in modern data architectures (e.g. Micro Service, event-driven architectures, stream processing, and integrating real-time analytics into customer applications is desirable
• Have a good eye for NFRs (Scalability, extensibility, reliability, etc.) while evaluating design. should be able to Converts Solution Requirements into logical systems & subsystems
• Innovates and creates new ideas and have the ability to develop quick proof of concepts and validate with the customer.

RESPONSIBILITIES:

• Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities.
• Being able to lead/support UAT and production roll outs
• Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations.
• Helping the team in troubleshooting and resolving of complex bugs
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Experience:

The candidate should have about 2+ years of experience with design and development in Java/Scala. Experience in algorithm, data-structure, database and distributed System is mandatory.

Required Skills:

Mandatory: -

1. Core Java or Scala
2. Experience in Big Data, Spark
3. Extensive experience in developing spark job. Should possess good Oops knowledge and be aware of enterprise application design patterns.
4. Should have the ability to analyze, design, develop and test complexity of spark job.
5. Working knowledge of Unix/Linux.
6. Hands on experience in Spark, creating RDD, applying operation - transformation-action

Good To have: -

1. Python
2. Spark streaming
3. Py Spark
4. Azure/AWS Cloud Knowledge of Data Storage and Compute side