You are opening our English language website. You can keep reading or switch to other languages.

Senior Data Software Engineer with ML and RAG, AI Data Platform

  • Bengaluru
Medium team (10-20 people)

If you received this vacancy from our recruiters — read our Privacy Notice.

Project overview

This project focuses on designing and building a cloud based platform that enables intelligent data processing and knowledge discovery. The solution integrates vector search, knowledge graphs, and retrieval augmented generation to deliver advanced AI capabilities across multiple business use cases.

Team

You will work in a distributed engineering team that includes data engineers, backend developers, and ML engineers. The team follows a collaborative approach with regular knowledge sharing and close interaction with stakeholders across time zones.

Position overview

We are looking for a Data Software Engineer with a strong focus on machine learning and modern data architectures to join a long term AI driven platform initiative. You will work on building scalable data pipelines and intelligent services powered by large language models and advanced data retrieval techniques. This role includes opportunities for both strong middle and senior specialists.

Standard Working Hours: Standard India shift from 10:00 AM to 7:00 PM IST. This schedule ensures a 3 hour overlap with AEST for ANZ collaboration and a 5 hour overlap with GMT for UK collaboration.

Technology stack

Python, Azure infrastructure, Azure AI Services, ETL pipelines, serverless microservices, vector databases, knowledge graphs, retrieval augmented generation architecture, large language models, prompt engineering

Responsibilities

  • Develop and maintain scalable ETL pipelines for structured and unstructured data
  • Design and implement serverless microservices using cloud native patterns
  • Build and optimize data solutions using vector databases and knowledge graphs
  • Collaborate with ML engineers to integrate large language model capabilities into production systems
  • Implement retrieval augmented generation pipelines for advanced AI use cases
  • Work with Azure AI Services to deliver reliable and scalable solutions
  • Ensure code quality through testing, code reviews, and adherence to engineering standards
  • Collaborate with distributed teams and participate in technical discussions across time zones

Requirements

  • Experience in Python development for backend or data engineering tasks
  • Hands on experience with ETL pipeline design and implementation
  • Familiarity with Azure infrastructure and cloud native services
  • Understanding of microservices architecture and serverless computing
  • Experience working with vector databases and data indexing solutions
  • Knowledge of retrieval augmented generation and knowledge graph concepts
  • Experience integrating or working with large language models
  • Practical experience with prompt engineering
  • English proficiency sufficient for daily communication in an international team

Nice to have

  • Experience with Azure AI Services in production environments
  • Exposure to distributed system design and scalability patterns
  • Knowledge of data governance and data quality practices
  • Experience working in globally distributed teams

Looking for Similar Opportunities?

Try AI chatbots with our ready-made prompt to discover similar roles that match your skills and interests.
Image

We offer

Image

Vacation

As per the laws of your country. We do ask you to take a proper rest

Image

Health insurance

We help you to take out an insurance policy for you and your loved ones

Image

Sick pay

10 days without a doctor's note, afterwards - as per the laws of your country

Image

Time off for state holidays

According to the official calendar, regardless of the client’s schedule

Image

Pleasant environment

Two large corporate parties and many small get-togethers for colleagues

Image

Comfort service

Solving technical and everyday problems at work

The benefits package may vary depending on the region and the type of contract
Most wanted
1 of 1

FAQ for Candidates

Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. View current openings and take the next step with us.

DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries — including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing.

Learn more about what we do here.

DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote—each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world.

Learn more about how we work here.

At DataArt, we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all.

Read more about our culture and values.

There's no one-size-fits-all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career.

Learn how we support both newcomers starting their careers and experienced professionals looking to grow further.

DataArt offers competitive compensation along with a range of thoughtful benefits that support your well-being, growth, and daily comfort. You’ll get flexible vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return-to-work options.

Read more about how things work at DataArt.

At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around.

Learn more about our company >here.

Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews.

Read more and get tips for each stage here.

DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to continuous learning. We value experience in relevant technologies and industries, adaptability, and excellent communication skills. If you’re a junior or just starting out, don’t worry—our mentorship programs and training will support your growth from day one. The most important thing is your willingness to learn and develop professionally in our collaborative, people-first environment.

Read more about development in DataArt.

At DataArt, continuous learning is part of our culture. You’ll have access to expert mentors, leadership guidance, and thousands of courses from top platforms like Udemy and LinkedIn Learning. You can shape your own path—whether it’s growing within your role or switching to a new one.

Explore how we support your growth.