Software Engineer GenAI & Agentic Systems

This role has been designed as Hybridwith an expectation that you will work on average 2 days per week from an HPE office
Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in todays complex world Our culture thrives on finding new and better ways to accelerate whats next We know varied backgrounds are valued and succeed here We have the flexibility to manage our work and personal needs We make bold moves, together, and are a force for good If you are looking to stretch and grow your career our culture will embrace you Open up opportunities with HPE Job Title: Software Engineer GenAI & Agentic Systems Designs, and develops advanced Generative AI applications with a specific focus on autonomous agents and multi-agent systems for our enterprise-grade network technology and autonomous platform Leverages large language models (LLMs) to create reasoning engines that interact with external tools, APIs, and structured data Specializes in building stateful, cyclic AI workflows using LangGraph to solve complex, non-linear problems in enterprise network Translates high-level product requirements into robust Python code, bridging the gap between stochastic LLM outputs and deterministic software systems Implements Retrieval-Augmented Generation (RAG), optimizes prompt engineering strategies, and deploys scalable agentic architectures that can visualize, plan, and execute multi-step tasks What You Will Do Agentic Architecture Design: Design and implement stateful, multi-agent workflows using LangGraph Define nodes, edges, and conditional logic to create agents capable of loops, self-correction, and human-in-the-loop interactions GenAI Application Development: Develop end-to-end GenAI applications in Python, utilizing frameworks like LangChain and LlamaIndex to integrate LLMs (eg GPT-4, Claude, Llama 3) with enterprise data and APIs Tool & Function Calling: Engineer robust "tools" and function-calling interfaces that allow agents to interact with internal databases, perform web searches, or execute code to complete tasks Performance Optimization: Evaluate and improve agent performance Move beyond basic accuracy metrics to measure "agent trajectory" quality, token usage efficiency, latency, and success rates in multi-step reasoning tasks Collaboration & Integration: Collaborate with software engineers to expose agents via APIs (eg FastAPI) and integrate them into existing product ecosystems Explain agent decision-making processes (observability) to non-technical stakeholders Code Quality & Review: Contribute to design review sessions, specifically focusing on the maintainability of complex graph structures and state management Provide feedback to peers on Python best practices and asynchronous programming Prompt Engineering & Fine-Tuning: Design sophisticated system prompts and manage prompt versioning Occasionally fine-tune Small Language Models (SLMs) for specific domain tasks where latency or cost is a constraint Prototyping to Production: Rapidly prototype new agent concepts in stand-ups and move successful experiments to production-grade code, handling error recovery and guardrails against hallucination What You Need To Bring Education and Experience Required Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field Masters degree preferred Typically 2-4 years of total software or data engineering experience Specific Requirement: At least 1 year of hands-on experience working with Generative AI, or building applications with LangChain/LangGraph Knowledge and Skills Core Technical Skills Advanced Python: Strong proficiency in Python is non-negotiable, particularly with asynchronous programming (asyncio), Pydantic (for data validation), and typing GenAI Frameworks: Deep practical knowledge of LangGraph (for graph-based flows) and LangChain Familiarity with DSPy or AutoGen is a plus LLM Orchestration: Understanding of Context Windows, Tokenization, Temperature, and the mechanics of Chat APIs (OpenAI, Anthropic, HuggingFace) Agentic Skills Graph Theory & Logic: Ability to visualize and implement business logic as directed cyclic graphs (nodes, edges, conditional jumps) NoSQL Databases: Experience with Elasticsearch, redis or vector stores such as Pinecone, Milvus, Qdrant, or PGVector Foundational Skills Software Engineering: Proficient with Git, Docker, and CI/CD pipelines Experience building and consuming RESTful APIs Math & Stats: Solid understanding of linear algebra (embeddings) and probability as it relates to model sampling and decision-makingmunication: Ability to demystify "AI Magic" and explain the limitations (eg hallucinations) and capabilities of agentic systems to product managers and business stakeholders Additional Skills Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX) What We Can Offer You Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing Personal & Professional Development We also invest in your career because the better you are, the better we all are We have specific programs catered to helping you reach any career goals you have whether you want to become a knowledge expert in your field or apply your skills to another division Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness We know varied backgrounds are valued and succeed here We have the flexibility to manage our work and personal needs We make bold moves, together, and are a force for good Let's Stay Connected Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE #india #networking Job Engineering Job Level TCP_02 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer We do not discriminate on the basis of racegender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together Please click here: Equal Employment Opportunity Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories No Fees Notice & Recruitment Fraud Disclaimer It has come to HPEs attention that there has been an increase in recruitment fraud whereby scammer impersonate 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