- Location
- Bengaluru, Karnātaka, India
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Source
- Workday
Description
This role has been designed as 'Hybrid' with a requirement 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 today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s 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 Description:
Job Family Definition:
Develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. Can work with large scale computing frameworks, data analysis systems, and modeling environments.
Uses machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy. Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms and translates technical specifications into code. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics.
Contributes to the success of HPE by translating customer requirements and industry trends into AI/ML products, solutions, and systems improvement projects.
Management Level Definition:
Contributions include applying intermediate level of subject matter expertise to solve common technical problems. Acts as an informed team member providing analysis of information and recommendations for appropriate action. Works independently within an established framework and with moderate supervision.
What you will Do
Build the agentic harness for Routing Director's Conversational Interface, powered by frontier or open-weight LLMs, based on a Bring Your Own LLM
Apply your knowledge of AI agents, MCP servers/tools, skills, semantic retrieval, to develop the agentic platform
Deliver reliable and performant solutions while following safety and security standards
Collaborate with multi-functional teams to develop use cases, and implement agentic workflows to deliver these use cases
Take initiative to solve complex problems
Contribute to small sections of design review sessions, presenting your work and gathering feedback from the team leader
Partner with Product and QA team members to align feature delivery with release milestones
What you need to Bring
Experience building agentic systems, including memory, tool execution, monitoring, and workflow automation
Proficiency in Python, along with familiarity with their surrounding tooling ecosystems
Experience designing scalable platform APIs and integrations that enable product teams to build and operate agentic applications safely and efficiently
Hands-on experience with OpenAI APIs, model capabilities, and orchestrating agentic workflows
Proficiency in software engineering principles and practices is valuable. Experience with version control systems (e.g., Git), software development methodologies, and deploying features in production environments is advantageous
Experience with Kubernetes and modern deployment strategies
Strong understanding of software development practices, including automated testing and code reviews
Education and Experience Required:
Bachelor’s degree or higher in Computer Science, Engineering, or related technical field.
Typically, 2-4 years’ experience.
Preferred
Prior experience working with large language models or conversational AI
Background in research and development of AI alignment or safety techniques
Experience with developer tools and APIs for AI integration
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.
Job:
EngineeringJob Level:
TCP_02
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, 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.
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All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
