AI Engineer for Storage Domain Job at Hewlett Packard Enterprise (Bangalore)

Principal Engineer - Data path - HPE Alletra Storage MP X10000 (Object Storage product development)

Develops organization-wide architectures and methodologies for software systems ...

Location

India , Bengaluru

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in computer science, Information Systems, or equivalent
15+ years of experience in a product development environment on storage/system engineering
Track record of delivering V1 products (or early-stage product development) in modern storage technologies (Object/File storage for modern AI use-cases, Object storage, cloud storage)
A track record of establishing and assuring adherence to performance requirements, work plans, and schedules for significant engineering initiatives
Experience designing and developing software systems design tools and languages
Experience in storage product development either file, block or object storage
Excellent analytical and problem-solving skills
Experience in overall architecture of software systems for products and solutions
Designing and integrating software systems running on multiple platform types into overall architecture
Evaluating and selecting forms and processes for software systems testing and methodology, including writing and execution of test plans, debugging, and testing scripts and tools

Job Responsibility

Develops organization-wide architectures and methodologies for software systems design and development across multiple platforms and organizations within the Global Business Unit
End-to-End Ownership and Technical Leadership
Identifies and evaluates new technologies, innovations, and outsourced development partner relationships for alignment with technology roadmap and business value
creates plans for integration and update into architecture
Anticipate bottlenecks and architect innovative solutions
Reviews and evaluates designs and project activities for compliance with development guidelines and standards
provides tangible feedback to improve product quality and mitigate failure risk
Drive best practices and operational excellence both at the team and organizational level
Coach and mentor junior and mid-level developers to help them grow technically and understand best practices
Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, outsourced development partners, and industry standards groups

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

AI Engineer, Rates VP

The Global Rates business is seeking an exceptional AI Engineer to drive the dev...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related quantitative field
Strong academic foundation in algorithms, data structures, and software engineering principles
Professional experience in AI/ML engineering, software development, or data science roles
Demonstrated experience building and deploying production AI applications
Proven track record of delivering end-to-end technical solutions
Hands-on experience with generative AI techniques and large language models (GPT, Claude, Llama, etc.)
Practical experience implementing Retrieval-Augmented Generation (RAG) systems
Experience with agentic frameworks and autonomous coding systems
Knowledge of statistics and machine learning techniques
Strong proficiency in Python

Job Responsibility

Design, develop, and deploy production-ready AI applications using generative AI techniques, including large language models (LLMs), retrieval-augmented generation (RAG), and agentic frameworks
Build intelligent automation solutions that enhance trading workflows, risk analysis, and operational efficiency
Develop agentic coding systems that can autonomously generate, test, and optimize code for financial applications
Create conversational AI interfaces and intelligent assistants for traders and business users
Architect and implement RAG pipelines for knowledge retrieval from structured and unstructured financial data sources
Design and optimize vector databases and embedding strategies for efficient information retrieval
Develop prompt engineering frameworks and fine-tuning strategies for domain-specific LLM applications
Build multi-agent systems that can collaborate to solve complex financial problems
Implement guardrails, validation frameworks, and monitoring systems for AI applications
Design and build data pipelines to support AI/ML workflows, integrating market data, trade data, and research content

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

AI Engineer

You'll be the hands-on builder behind Bilt's AI infrastructure - designing and i...

Location

United States , New York

Salary:

200000.00 - 240000.00 USD / Year

Bilt Rewards

Expiration Date

Until further notice

Requirements

6+ years of experience, with most recent experience as an AI Engineer
Strong infrastructure/platform engineering background. You've built and operated complex distributed systems and developer tooling.
Deep, hands-on experience with the modern AI tooling stack
Security-minded by default. You think about auth, permissions, egress control, identities, and blast radius when designing agentic systems
Track record of automating workflows and eliminating manual toil at an organizational level
Bias toward shipping practical, production-hardened solutions over prototypes and proofs of concept

Job Responsibility

Architect and build a centralized AI platform that plugs into Bilt's ecosystems
Build and maintain hardened sandbox environments for autonomous code execution with persistent storage, snapshot/restore, and security isolation
Design and implement custom sub-agents, skills, and steering guidelines that encode Bilt-specific domain knowledge and architectural patterns into agentic workflows
Wire AI tooling into our SDLC
Build integrations that extend AI capabilities to non-engineering teams (Slack bots, database query agents, session replay ingestion, telemetry analysis) and automate ops workflows
Evaluate and integrate third-party agentic tools and platforms, ensuring they are a good fit for Bilt's systems and infrastructure
Define and document engineering standards and best practices for AI-assisted work across the org

What we offer

Competitive salary with a meaningful stake in the company via equity and our performance bonus program
Health insurance for you (& your loved ones) from day one - Enjoy a One Medical Membership, wellness stipends, family programs and more, on us
401k plan with a match
Commuter FSAs
UNLIMITED PTO
Exclusive Employee only Bilt Points
Team Events

Fulltime

Global Rates - AI Engineer - VP

The Global Rates business is seeking an exceptional AI Engineer to drive the dev...

Location

United States , New York

Salary:

175000.00 - 250000.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related quantitative field
Strong academic foundation in algorithms, data structures, and software engineering principles
1-5 years of professional experience in AI/ML engineering, software development, or data science roles
Demonstrated experience building and deploying production AI applications
Proven track record of delivering end-to-end technical solutions
Hands-on experience with generative AI techniques and large language models (GPT, Claude, Llama, etc.)
Practical experience implementing Retrieval-Augmented Generation (RAG) systems
Experience with agentic frameworks and autonomous coding systems
Knowledge of statistics and machine learning techniques
Strong proficiency in Python

Job Responsibility

Design, develop, and deploy production-ready AI applications using generative AI techniques, including large language models (LLMs), retrieval-augmented generation (RAG), and agentic frameworks
Build intelligent automation solutions that enhance trading workflows, risk analysis, and operational efficiency
Develop agentic coding systems that can autonomously generate, test, and optimize code for financial applications
Create conversational AI interfaces and intelligent assistants for traders and business users
Architect and implement RAG pipelines for knowledge retrieval from structured and unstructured financial data sources
Design and optimize vector databases and embedding strategies for efficient information retrieval
Develop prompt engineering frameworks and fine-tuning strategies for domain-specific LLM applications
Build multi-agent systems that can collaborate to solve complex financial problems
Implement guardrails, validation frameworks, and monitoring systems for AI applications
Design and build data pipelines to support AI/ML workflows, integrating market data, trade data, and research content

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Senior Principal Engineer – Storage Data path - HPE Alletra MP X10000

Senior Principal Engineer – Storage Data path - HPE Alletra MP X10000 (Object St...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in computer science, Information Systems, or equivalent
15+ years of experience in a product development environment on storage/system engineering
Track record of delivering V1 products (or early-stage product development) in modern storage technologies (Object/File storage for modern AI use-cases, Object storage, cloud storage)
Evidence of advancing storage technologies – new segment, industry standards/conference contributions
Experience concurrently driving technology development/delivery of multiple scrum teams
A track record of establishing and assuring adherence to performance requirements, work plans, and schedules for significant engineering initiatives
Excellent communications and interpersonal skills
Experience architecting, designing, and developing innovative software system design tools and languages
Excellent analytical and problem-solving skills
Experience in leading overall architecture of software systems for products and solutions

Job Responsibility

Develops organization-wide architectures, strategies, and methodologies for software systems design and development across multiple platforms and organizations within the Global Business Unit
Identifies and makes informed recommendations regarding new technologies, innovations, and outsourced development partner relationships for alignment with technology roadmap and business value
creates plans for integration and update into architecture
End-to-End Ownership and Technical Leadership
Anticipate bottlenecks and architect innovative solutions
Drive best practices and operational excellence both at the team and organizational level
Reviews, evaluates, and influences designs and project activities for compliance with development guidelines and standards
Provides tangible solutions that improve product quality and mitigate failure risk
Contributes to domain expertise, business acumen, and experience to influence decisions of executive business leadership, outsourced development partners, and industry standards groups
Brings creativity and innovation to the organization

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Full Stack AI Engineer

We are seeking a highly skilled Full Stack AI Engineer to join our team and work...

Location

India , Vadodara;Ahmedabad;Indore

Salary:

Not provided

Prakash Software Solutions Pvt. Ltd

Expiration Date

Until further notice

Requirements

8-10 years of experience in software engineering with a strong focus on AI/ML
Proficiency in frontend frameworks like React, Angular, or Vue.js
Strong hands-on experience with backend technologies like Node.js, Python (with frameworks like Flask, Django, or FastAPI), or Java
Experience with cloud platforms such as AWS, Azure, or GCP
Proven ability to design and implement complex, scalable, and maintainable architectures
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Passion for continuous learning and staying up to date with the latest advancements in AI/ML
End-to-end experience with at least one full AI stack on Azure, AWS, or GCP, including components such as Azure Machine Learning, AWS SageMaker, or Google AI Platform
Hands-on experience with agent frameworks like Autogen, AWS Agent Framework, LangGraph etc.

Job Responsibility

Collaborate with the Principal Architect to design and implement AI agents and multi-agent frameworks
Develop and maintain robust, scalable, and maintainable microservices architectures
Ensure seamless integration of AI agents , MCP Servers with core systems and databases
Develop APIs and SDKs for internal and external consumption
Work closely with data scientists to fine-tune and optimize LLMs for specific tasks and domains
Implement ML Ops practices, including CI/CD pipelines, model versioning, and experiment tracking
Design and implement comprehensive monitoring and observability solutions to track model performance, identify anomalies, and ensure system stability
Utilize containerization technologies such as Docker and Kubernetes for efficient deployment and scaling of applications
Leverage cloud platforms such as AWS, Azure, or GCP for infrastructure and services
Design and implement data pipelines for efficient data ingestion, transformation, and storage

Fulltime

Principal Software Engineer, AI Cloud

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

232000.00 - 319000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff or Principal level)
Proven experience designing and building highly scalable distributed systems in production environments
Deep understanding of cloud infrastructure (AWS, Azure, GCP, or OCI), including compute, networking, and storage primitives
Proficiency in Go, Rust, or Java
Expertise in Kubernetes, microservices, and service mesh architectures
Strong foundation in observability, CI/CD, and infrastructure-as-code (Terraform, Pulumi, or CloudFormation)
Experience operating high-availability (99.99%+) production systems
Exceptional communication skills and ability to influence across technical and business domains
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Job Responsibility

Define and drive the long-term technical strategy for Docker AI Cloud’s control and data plane services
Architect highly available, multi-region systems capable of operating seamlessly across multiple cloud providers
Design APIs and service abstractions that integrate Docker Desktop, Hub, and enterprise cloud services
Establish standards for reliability, scalability, and observability across the Docker AI Cloud platform
Lead cross-functional technical discussions and influence architectural decisions company-wide
Design and implement distributed systems for workload orchestration, service discovery, and lifecycle management
Build and operate control plane components that manage multi-tenant workloads and cloud networking
Develop infrastructure that delivers predictable performance, intelligent scaling, and automated failover
Ensure security, data integrity, and compliance across Docker’s global infrastructure footprint
Partner with platform and product teams to deliver developer-friendly APIs and cloud experiences

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Software Engineer - AI SysML

Meta’s MSL Data team is seeking a Software Engineer to lead the development of n...

Location

United Kingdom , London

Salary:

Not provided

Select Country

AI Engineer for Storage Domain

Job Description

Job Responsibility

Requirements

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