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Gartner

Sr Software Engineer

Gartner is hiring a Sr Software Engineer in Gurugram, India. Level rates it ; you can apply on Gartner.

Level's read on this job

  • Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include AI agents and NLP.
  • Level classifies it as a mid-level role.
  • Level lists 786 other open roles at Gartner.
  • The role was posted in the last few days.

AI in this role

ai-agentsnlp

About Gartner IT: 
Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. 


About the role: 
Gartner is seeking a talented and passionate Senior Software Engineer to join our growing Search Platform team. In this role, you will be responsible for building the foundational data and services for AI Products and Insights team. You will closely collaborate with Product Managers, Data Scientists and Cloud teams to expand the reach and accuracy of our Agentic and Search Solutions. 


What you’ll do: 

  • Technical Leadership: Provide leadership and guidance for medium-sized initiatives, ensuring solutions are scalable and incorporate strategic considerations. 
  • System Architecture: Contribute actively to architectural discussions and design sound, maintainable web services using Java or Python. 
  • Engineering Standards: Promote organizational values within the team and ensure technical decisions align with broader team goals and best practices. 
  • API Development: Build and performance tune highly scalable APIs  
  • Developing Search Algorithms: Implementing advanced search algorithms leveraging search engine features such as vector search, natural language processing, personalization, and other state-of-the-art technologies.  
  • AI-Powered Retrieval: Build and optimise reusable lexical, vector, and hybrid search services that provide relevant contextual information for AI products and agentic experiences, collaborating with Data Scientists to improve retrieval quality. 
  • Agentic Search Integration: Develop reusable search tools and APIs for integration into agent frameworks, enabling AI agents to retrieve information and combine search capabilities within multi-step workflows. Partner with Product Managers, Data Scientists, and Cloud teams to deliver scalable agentic search solutions. 
  • Relevancy Model Development: Collaborating with machine learning and data science teams to optimize relevancy models that improve user search experiences, incorporating feedback loops and behavioral data.  
  • Search Result Tuning Based on Business Metrics: Collaborating with product and business teams to fine-tune search results to align with business goals like conversion, engagement, and retention 
  • Performance Tuning: Continuously testing and optimizing the performance of the search engine to improve query response times, accuracy, and relevancy based on defined metrics.  
  • Integration: Integrating the search infrastructure with other services and data platforms to enable seamless data retrieval, indexing, and search performance monitoring.  
  • Data Pipeline Management: Developing and maintaining scalable data pipelines to ensure efficient data flow, low-latency indexing, and real-time search capabilities.  
  • Data Analysis: Analyzing search patterns, user interactions, and relevancy metrics to refine search algorithms and improve the overall user experience.  
  • Data & ML Integration: Design and implement robust ETL/ELT pipelines and ML Engineering workflows that meet performance and reliability requirements. 
  • Strategic Communication: Develop strong communication skills to articulate technical concepts to various stakeholders and influence technical direction at the Business Unit level. 
  • Mentorship: Actively seek opportunities to mentor junior and peer engineers, fostering a culture of continuous learning and growth. 

  

 

What you’ll need: 

Must have: 

  • Experience: 3-6 years of professional experience in the IT industry. 
  • API Development: Experience and strong knowledge about REST APIs, API performance / scaling and best practices 
  • Advanced Engineering: Strong command of Data Structures, Algorithms, and Design Patterns to build moderately complex and efficient systems. 
  • Backend Mastery: Significant experience developing and maintaining production-scale, customer-facing web services. 
  • Search & Storage: Hands-on exposure and solid understanding of different storage engines (SQL and NoSQL, Search Engines). 
  • Cloud & DevOps: Familiarity with AWS environments and a working knowledge of CI/CD pipelines and DevOps practices. 

  

  

Nice to have/opportunity to learn: 

  • Data Engineering: Practical experience managing the data lifecycle through ETL/ELT processes and deploying ML models into production. 
  • Experience with Agentic Workflows or AI-driven automation. 
  • Proven track record of improving team velocity through better tooling or process improvements. 

  

  

 

 

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

Gartner is the world authority on AI

At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.

It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.


The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com.

Job Requisition ID:115142

By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.

Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy


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How we rate this

Sr Software Engineer at Gartner rates 83 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsNLP

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. What NLP problem have you worked on, and how did you measure whether it actually worked?
  3. How would you decide a model or AI system is ready to ship?
  4. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: AI agents and NLP. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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