Principal Software Engineer - Edge AI Job at Microsoft Corporation (Herzliya)

Principal AI Software Engineer, Senior Vice President

Are you looking for a career move that will put you at the heart of a global fin...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Exceptional Python Expertise: Demonstrated mastery of core Python, including advanced features, performance optimization, and a deep understanding of the FastAPI framework
Prior hands-on experience with Generative AI, Large Language Model (LLM) frameworks (e.g. LangChain, LlamaIndex), and their application in enterprise environments is a must. This must be underpinned by a profound understanding of core machine learning principles, algorithms, and data science methodologies
Full Lifecycle Ownership: Extensive hands-on experience and technical authority throughout the entire software development lifecycle, from conceptualization and design to implementation, deployment, and operational ownership of enterprise software solutions, involving significant cross-functional collaboration
Strategic System Design: Significant hands-on experience in architecting and designing (architecture, design patterns, reliability, scaling) highly complex new and current systems with broad technical impact
Hands-on expertise with containerized deployment technologies (e.g. Kubernetes, OpenShift, Docker) and orchestration strategies
Hands-on experience and in-depth understanding of C++ is a significant bonus, particularly for complex code analysis, parsing, and integration into knowledge graph structures

Job Responsibility

Architect and implement cutting-edge software systems, defining the technical design for our AI solutions to ensure scalability, performance, and reliability
Drive the hands-on design, implementation, and deployment of sophisticated systems that automate the analysis of data, code, and documentation
Apply deep expertise to structure extracted knowledge within a Credit Risk Domain-aware knowledge graph, including advanced strategies for effectively modelling complex codebases, particularly C++, within this graph
Act as a critical technical partner with data scientists, business analysts, and other engineering teams to translate challenging business requirements into robust technical solutions and ensure successful, high-quality project delivery
Tackle the most complex technical challenges within our AI initiatives, providing solutions that set the standard for engineering excellence

What we offer

Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretional annual performance related bonus
Private medical insurance packages to suit your personal circumstances
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

Principal Software Engineer, AI

We are seeking a visionary and hands-on Principal AI Engineer to be the foundati...

Location

India , Delhi

Salary:

Not provided

AlphaSense

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing)
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority

Job Responsibility

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Principal Software Engineer, AI

We are seeking a visionary and hands-on Principal AI Engineer to be the foundati...

Location

India , Pune

Salary:

Not provided

AlphaSense

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing)
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority

Job Responsibility

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Principal Software Engineer, AI

We are seeking a visionary and hands-on Principal AI Engineer to be the foundati...

Location

India , Bengaluru

Salary:

Not provided

AlphaSense

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing)
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority

Job Responsibility

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

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

Sr. Principal Software Engineer - Applied AI

We are looking for a Principal Software Engineer to join our growing Applied AI ...

Location

United States , Seattle

Salary:

277391.00 - 342391.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems
8+ years working as a professional software developer
A great understanding of Generative AI systems, best practices and experience in shipping Agentic AI into distributed, data-intensive production systems
Experience developing and operating Cloud services at enterprise scale
Strong programming skills in Java, Python, C#, Typescript or equivalent programming languages
Great collaboration with teams with different backgrounds/expertise/functions
Expertise in full product lifecycle
technical designs, fast shipping, iterative implementation, and successful product launches
Experience and passion for mentoring and encouraging collaborative teams
Experience in cultivating a strong engineering culture in an agile environment

Job Responsibility

Apply Generative AI to solve hard unsolved challenges in the application of Agentic AI to real-world business challenges
Work with a team of Applied AI engineers that works at the bleeding edge of Generative AI to solve high-impact business challenges
Grow, coach, build and scale talent on the Applied AI team
Drive operational excellence to achieve enterprise-grade scale, reliability, security, cost-efficiency and performance
Drive technical direction for building a safe, scalable and reliable Agentic AI platform for all of Highspot
Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

Principal Software Engineer in Test (Automation & AI)

We're scaling the Prisma SASE Test team and seeking Test Engineers with an Autom...

Location

United States , Santa Clara

Salary:

147000.00 - 237500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

8+ years of experience
Understanding of computer networks and protocols
Automation skills - Python - Backend , JavaScript, Playwright - Frontend
Strong Python
for backend validations with experience in building tools, frameworks and reporting
Experience with Playwright or similar browser automation
Built and led automation frameworks for a team
CI/CD pipeline experience (Jenkins, GitLab CI, GitHub Actions)
Understanding of Containers, Kubernetes and Orchestration
Cloud platforms: AWS, Azure, or GCP

Job Responsibility

Great opportunity to work on AI assisted automation initiatives
AI-Assisted Automation Initiatives: Design and implement AI-powered test generation using LLMs to create test cases from requirements, API specs, and user stories
Build intelligent test selection systems that predict which tests to run based on code changes (ML-based test impact analysis)
Develop self-healing test frameworks that use AI to detect and adapt to UI/API changes automatically
Create anomaly detection pipelines to identify flaky tests and performance regressions without manual triage
Leverage AI agents to automate exploratory testing and generate edge-case scenarios
Core Test Engineering: Develop and execute sophisticated software tests and frameworks to validate Prisma SASE Functionality and Scale
Provide Thorough Technical Leadership in the areas of Cloud Based Orchestration, Cloud delivered Security, Cloud Networking and Automation Design
Participate in system design so that Quality Assurance is considered throughout the entire lifecycle of the Prisma Access Feature Development
Develop and/or Enhance Automated test Infrastructure to enable building Scalable & Flexible tests

What we offer

Restricted stock units
Bonus

Fulltime

Principal Software Engineer (Fullstack - Copilot)

Copilot Content Experience team is responsible for delivering best user experien...

Location

Japan , Tokyo

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Solid full-stack engineering capabilities with comprehensive knowledge of consumer product development
Demonstrated ability to lead through influence, establishing technical direction for teams of 3–10 engineers across US, Japan, and China time zones. Experienced in conducting architecture reviews, design sprints, and technical alignment sessions
Solid background in AI, including hands-on experience developing AI products or integrating AI into daily development processes
Speaking English is required for daily work
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Implement (full stack is preferred) and release thoughtful features for the most attractive Copilot content experience
Improve feed experience for different products (e.g., Edge browser, Windows Widgets) and different endpoints (e.g., desktop, mobile)
Closely work with Devs and PMs in different countries to achieve fast collaboration and agile development.

Fulltime

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Principal Software Engineer - Edge AI

Job Description

Job Responsibility

Requirements

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