👋🏼 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 (19,000+ experts across 34 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
Job DescriptionYou will join an existing development team to build and ship LLM-powered features in a complex, large-scale production application. This is a hands-on, full-stack role spanning backend services, APIs, and the LLM systems (retrieval, agents, and evaluation) that power them. You will work as an agentic engineer, leveraging AI coding tools and autonomous agents to write code, automate workflows, and optimize delivery. Working closely with globally distributed teams across multiple time zones, you will own features end-to-end.
In this role, you will:
- Bring senior-level expertise in Python and LLM engineering.
- Independently plan, execute, and deliver technical solutions.
- Collaborate effectively with Product Owners and stakeholders to solve complex problems.
- Partner cross-functionally to deliver impactful solutions across teams.
- Continuously expand your technical expertise and stay current with emerging technologies.
- Demonstrate curiosity, initiative, and a commitment to continuous learning.
- Apply a data-driven approach to technical decision-making and problem-solving.
- Use systems thinking to connect data science and engineering principles.
- Take full ownership of features and projects, delivering high-quality solutions with minimal oversight.
- Hands-on, daily use of AI-assisted and agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot) to write, refactor, and automate code.
- Strong Python expertise with proven experience building REST APIs using frameworks like FastAPI.
- Solid grounding in NLP, machine learning, and hands-on experience with major LLM model APIs (e.g., OpenAI, Anthropic).
- Demonstrated experience designing and implementing RAG systems end-to-end, including vector databases, semantic search, and retrieval optimization.
- Experience building and deploying multi-agent systems and MCP servers in production environments at scale.
- Strong systems thinking and critical thinking skills with proven ability to debug, optimize, and make sound engineering decisions across complex backend systems, including security best practices for authentication and data protection.
- Proficiency with event-driven architectures, server-side events, and messaging systems.
- Generous Work-Life Balance: Flexible working hours and option to work from home.
- Health & Wellbeing: Ergonomic workstations, subsidies for health services, sponsored sports events, etc.
- Company Events & Community: Regular after-work sessions, shared breakfasts/lunches, summer and Christmas parties, team events, and more.
- Open, Agile Culture: Flat hierarchies, high level of personal responsibility, international and diverse teams, friendly and supportive team spirit.
- Training & Personal Development: Focus on promoting both technical and personal growth to ensure employees stay up to date.
- Modern Tools & Workspace Design: Modern office, dual monitors, ergonomic equipment, and excellent on-site infrastructure.
Skills Required
- Daily hands-on use of AI-assisted and agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot)
- Strong Python expertise and proven experience building REST APIs (e.g., FastAPI)
- Solid grounding in NLP and machine learning, with hands-on experience using major LLM model APIs (e.g., OpenAI, Anthropic)
- Demonstrated experience designing and implementing RAG systems end-to-end, including vector databases, semantic search, and retrieval optimization
- Experience building and deploying multi-agent systems and MCP servers in production at scale
- Proficiency with event-driven architectures, server-sent events, and messaging systems
- Strong systems thinking and ability to debug, optimize, and make engineering decisions across complex backend systems, including authentication and data protection practices
- Ability to independently plan, execute, and deliver technical solutions and take ownership of features end-to-end
Nagarro Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.
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Pay Growth & Progression — Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
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Flexible Benefits — Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
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Healthcare Strength — Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).
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What We Do
Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.
