Sr. Software Engineer
Orange is hiring a Sr. Software Engineer in Gurugram, India. Level rates it ; you can apply on Orange.
Level's read on this job
- On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions LangChain, LlamaIndex and RAG among its tools and skills.
- Orange has 904 other open roles on Level.
- Posted in the last few days.
AI in this role
Publication date : Mar 10, 2026, 12:00AM
Join us at Orange Business!
We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
Ensure the activities by holding the commitments in terms of quality, costs and deadlines.
Having strong expertise on AI / Machine learning, Generative AI and Agentic AICollaborate with Data & AI experts, Software Engineers and Business stakeholders to translate business requirements into solutions related to AI/ML, Generative AI and Agentic AIResearch / Analysis, Exploration, Solution development, and Problem solvingSolid experience of Training, evaluating, and fine-tuning models for optimal performance.Ownership of delivering AI/ML models with high precision outcomesExperience with building, deploying, and enhancing large-scale machine learning models and algorithms within real-world product environmentsGood knowledge of math, probability, and statistics, and algorithms; Ability to write robust code in Popular AI Programming languagesAbility to rapidly prototype and experiment with different models and algorithmsGood understanding of the business context and the ability to translate business problems into AI/ML solutionsExcellent communication and interpersonal skillsPassionate for continuous learning and staying up-to-date with the latest trends and best practices in AI, Gen AI etc.Must have strong and proven experience in Machine learning and Deep learning techniques and use of popular AI/ML frameworks
Must have good experience on various AI techniques: Machine learning, Generative AI and Agentic AIExperience with building, deploying, and enhancing large-scale machine learning models and algorithms within real-world product environmentsSolid experience and understanding of ML techniques such as: Data Preprocessing, Feature Engineering, Model selection, Hyperparameter Tuning, Validation, and DeploymentDevelop multi AI agents and RAG systems for real-time decision-making, integrating tools like LangChain, LlamaIndex, or custom frameworks.Good knowledge of math, probability, and statistics, and algorithms; Ability to write robust code in Popular AI Programming languagesAssemble large, complex data sets that meet functional / non-functional business requirementsMust be able to implement AI applications by using and fine-tuning Large Language Models (LLMs)Experience with production support, technical analysis and problem solvingHands on experience on Large Language Models (LLMs), text generation, or similar Generative AI applicationsMust have good communication and presentation skillsGood to have: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sourcesGood to have: Experience working with Cloud platforms (e.g. GCP, AWS, Azure) for model deployment, AI services and operationGood to have: Working experience on a Python web framework (e.g. Flask/Django) would be a plusOptional: Work on AI/ML services on Cloud infrastructure and various cloud managed servicesYou bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.
• Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
• Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
• Professional Development: training programs and upskilling/re-skilling opportunities.
• Career Growth: Internal growth and mobility opportunities within Orange.
• Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.
• Reward Programs: Employee Referral Program, Change Maker Awards.
At Orange, only your skills matter.
Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.
Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.
How we rate this
Sr. Software Engineer at Orange rates 94 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.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
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
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Tell me about a research question you investigated. What did you find?
- Walk me through how you've used LangChain in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, Fine-tuning, AI Research, and LangChain. 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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