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Sr Principal Software Development EngineerPune, Maharashtra, India Job InfoJob Identification 21395Job Category Threat Research and IntelligencePosting Date 07/08/2026, 10:33 AMLocations Pune, Maharashtra, IndiaJob Schedule Full timeJob DescriptionWhat You Will Do: Define and drive the technical vision, roadmap, and strategy for Fortinet's Data Platforms GenAI components, enabling scalable development and deployment of AI applications powered by LLMs and agentic workflowsArchitecture and implementation of robust scalable data pipelinesGuide the design and development of platform capabilities such as agent orchestration, RAG integration, LLM model configuration, prompt tooling, and fine-tuning pipelinesProvide expert advice and guidelines for product development and standardizationDrive efforts around LLM inference optimization, including caching, prompt tuning, and latency improvements, ensuring efficient and cost-effective model usage across applicationsCollaborate with engineering, product, and operations teams to ensure effective adoption of GenAI capabilities in high-impact workflowsPartner with stakeholders to build reusable AI agents that enhance productivity, automate reasoning tasks, and integrate securely with internal systems and toolsMentor new hires and fellow engineers, fostering growth in technical depth and platform mindsetEstablish best practices and processes that ensure engineering excellence, operational sustainability, and a seamless developer experienceDevelop high quality, secure, scalable enterprise-grade backend components based on technical requirements specifications and design artefacts within expected time and budgetFollow standard practices to develop and maintain Product development along with AI systemsSoftware development with consideration for compliance requirementsLargely self directed work with improved development techniques, standards and procedure We Are Looking for 15+ years exposure in Software development.10+ years in core python development experience along with Data Engineeringwith data cleaning, enrichment and data mapping.4+ years of experience in AI/ML engineering, GenAI, data science, or related roles.4+ years of experience as a technical lead, guiding teams through complex design decisions and setting high benchmarks for code quality, performance, and scalabilityProficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Ollama, XGBoost, Hugging Face), vLLM, LM Studio, GPT4AllExperience with modern GenAI frameworks and libraries (e.g., LangChain, LlamaIndex, Hugging Face Transformers).Familiarity with best practices for responsible AI, including data privacy, bias mitigation, compliance and model monitoring.Proven experience in fine-tuning and customizing foundation models to improve task-specific performance and domain alignmentDeep knowledge of LLM inference optimization techniques, including prompt tuning, caching, quantization, and latency reduction across different model familiesStrong programming skills in Python (must) and similar languages, with an emphasis on AI/ML systems development and platform engineeringDemonstrated ability to work cross-functionally and influence product development through a combination of technical leadership and user-centered thinkingPassion for operational excellence, automation, and delivering scalable, developer-friendly AI infrastructureDesired Experience: 15+ years in Software/Data Engineering and 3+ years in AI/ML space. Working Conditions: This position requires working from the office full-time; remote work is not available. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.