Member of Technical Staff - AI Product - Backend Engineer Job at Microsoft Corporation (Mountain View)

Member of Technical Staff - Backend Engineer

Endor Labs is building the Application Security platform for the software develo...

Location

Netherlands

Salary:

70000.00 - 100000.00 EUR / Year

Endor Labs

Expiration Date

Until further notice

Requirements

Bachelor’s or higher degree in engineering, with 6–8 years of experience building scalable backends for product/SaaS companies
At least 3 years of experience in Golang programming, with a focus on microservices and distributed architecture
Practical experience designing APIs with one or more frameworks (gRPC [preferred], REST, GraphQL, Thrift, etc.)
Affinity with modern AI platforms (OpenAI, Google Gemini, LangChain, etc.)
Ability to build and design technical solutions from scratch, with code and documentation that exemplify best practices at Endor
Scalable distributed systems experience—understanding microservices, domain-driven design, load balancing, horizontal/vertical scaling, and stateless architectures
Strong architectural knowledge, with a keen eye for scalable and extensible systems. Able to apply data-driven techniques to evaluate and recommend architectural choices
Ability to discuss trade-offs between architectural decisions and influence teams toward the right direction
Comfort working in a fast-moving environment with evolving requirements
Creative and independent problem-solving skills, especially in uncharted or ambiguous contexts

Job Responsibility

Work closely with the R&D team to help integrate novel solutions and scale them to production
Design and implement AI-first platforms
Have the autonomy and responsibility to design and implement high-quality features used by customers
Lead and contribute to large-scale technical projects, ensuring scalability, reliability, and performance
Design, architect, and build features end-to-end—including unit and integration tests—while working closely with Product Management and our distributed engineering team

Fulltime

Member of Technical Staff – Backend

As a backend engineer at Inflection, you will own the platforms, systems, and se...

Location

United States , Palo Alto

Salary:

175000.00 - 350000.00 USD / Year

Inflection AI

Expiration Date

Until further notice

Requirements

5+ years of experience building and scaling backend systems for high-throughput applications
Fluent in building distributed systems with Python, Go, Rust, or similar languages
Comfortable with cloud-native architectures (e.g., Kubernetes, gRPC, Postgres, Redis, Kafka)
Owned backend services end-to-end—from design and implementation to deployment, monitoring, and debugging
Thrive in fast-paced environments where you can move quickly without sacrificing engineering rigor
Proactively improve tooling and infrastructure to support teammates’ workflows and reliability goals
Communicate clearly across disciplines and take pride in solving user-facing problems with clean backend solutions
Have a bachelor’s degree or equivalent in a related field to the offered position requirements

Job Responsibility

Design and implement scalable backend systems and APIs that power production LLM experiences, including agentic workflows, memory systems, and tool integrations
Build and operate high-availability infrastructure to support real-time inference, retrieval, and conversation pipelines
Develop internal platforms to improve engineering productivity—CI/CD pipelines, service templates, observability frameworks, and rollout tooling
Collaborate closely with applied research and frontend teams to rapidly prototype, ship, and iterate on end-user features
Ensure systems meet our high bar for security, uptime, and latency—through incident response, load testing, monitoring, and automation
Participate in on-call rotations to maintain the reliability of the services you build

What we offer

Diverse medical, dental and vision options
401k matching program
Unlimited paid time off
Parental leave and flexibility for all parents and caregivers
Support of country-specific visa needs for international employees living in the Bay Area
Competitive stock options

Member of Technical Staff, Applied Research

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

260000.00 - 370000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics
Expertise with programming such as Python, C++, CUDA, and deep learning frameworks such as TensorFlow and PyTorch
Very strong programming skills and ability to write clean and maintainable research code
Deep interest in building human-in-the-loop systems for creativity
Passion for seeing research through from initial conception to eventual application
Experience mentoring and teaching other researchers
Strong communication, collaboration, and documentation skills

Job Responsibility

Develop cutting-edge computer vision and generative models to power creative tools
Work with backend team to bring research models to production
Work with design and frontend engineering team to ensure machine learning models work in harmony with user interfaces

Fulltime

Member of Technical Staff, Cloud Infrastructure

As a Software Engineer on our Cloud Infrastructure team, you'll be at the forefr...

Location

United States , New York, NY; San Mateo, CA; Redwood City, CA

Salary:

175000.00 - 220000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
5+ years of experience designing and building backend infrastructure in cloud environments (e.g., AWS, GCP, Azure)
Proven experience in ML infrastructure and tooling (e.g., PyTorch, TensorFlow, Vertex AI, SageMaker, Kubernetes, etc.)
Strong software development skills in languages like Python, or C++
Deep understanding of distributed systems fundamentals: scheduling, orchestration, storage, networking, and compute optimization

Job Responsibility

Architect and build scalable, resilient, and high-performance backend infrastructure to support distributed training, inference, and data processing pipelines
Lead technical design discussions, mentor other engineers, and establish best practices for building and operating large-scale ML infrastructure
Design and implement core backend services (e.g., job schedulers, resource managers, autoscalers, model serving layers) with a focus on efficiency and low latency
Drive infrastructure optimization initiatives, including compute cost reduction, storage lifecycle management, and network performance tuning
Collaborate cross-functionally with ML, DevOps, and product teams to translate research and product needs into robust infrastructure solutions
Continuously evaluate and integrate cloud-native and open-source technologies (e.g., Kubernetes, Ray, Kubeflow, MLFlow) to enhance our platform’s capabilities and reliability
Own end-to-end systems from design to deployment and observability, with a strong emphasis on reliability, fault tolerance, and operational excellence

What we offer

Meaningful equity in a fast-growing startup
Competitive salary
Comprehensive benefits package

Fulltime

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

Staff Full Stack Engineer

We are looking for an experienced Staff Engineer (Vue/Laravel/Typescript) to joi...

Location

Italy , Milan

Salary:

Not provided

WeRoad

Expiration Date

Until further notice

Requirements

Proven experience in autonomously managing and delivering projects, stakeholders and other team members to guarantee cooperation, communication and alignment
Fully autonomous in managing project requirements, implementation and delivery of backend/frontend solutions
Outcome and product driven mindset in your solution
Experience in tech leadership, know when to delegate, when to manage, and when to lead
Experience in delivery management and Agile practices
Experience in working with Product and Design on finding optimal solutions to business requirements
Familiar and advocate in using AI in your development workflow with AI IDEs (Cursor/Copilot) and CLIs (Claude Code CLI or Gemini CLI)
Technological Experience with: SEO and UI/UX on mobile and desktop applications
Vue / Nuxt (or React) and Typescript
PHP & Laravel

Job Responsibility

Support the PMs, EM and the team and in developing front-end and backend solutions (end user-facing and administrative user-facing) according to UX/UI designs, guaranteeing quality and scalability
Help the team identify front-end and back-end architectural solutions based on business logic and requirements, managing the Technical Complexity
Help us maximize the user experience and quality of our product (you’ll work on our coolest website and CMS)
Communicate and Collaborate with the Leadership Team, leveraging your Network to maximize the team Impact

What we offer

Performance-based bonus – An discretionary annual variable bonus, and based on performance and company results
A free WeRoad trip every year – Choose your dream destination with €1,200/year travel discount or travel even more as a Travel Coordinator
Unlimited holiday – You are a master of your own time
Opportunities to learn – We invest in your growth with training and learning opportunities
New parent support – €3,600/year for 3 years after birth or adoption (or prorated if your child is under 3 when you start at WeRoad)
Extra benefits – Meal vouchers (€8/day – when applicable), a €1,000 bonus for your wedding or civil union, and one-off bonus when you hit 5 years with us
Fun – A vibrant co-working space, team buildings and meet-ups

Fulltime

Member of Technical Staff - Backend Engineer

Microsoft AI is looking for a talented Backend engineer to help build the next w...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
4+ years' experience building backend API for mobile apps such as GraphQL/Rest APIs/Protobuf/Thrift, and streaming protocols such as websocket/SSE/WebRTC with familiarity in backend and mobile data schema code generation or consistency, version control for mobile releases, analytics, feature flags, a/b testing framework
4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc
4+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking

Job Responsibility

Build secure and performant APIs that power Copilot apps
Work collaboratively with other product engineers, Product Managers, and platform engineers to take ambiguous projects and mold them into amazing experiences
Ship high-quality, well-tested, secure, and maintainable code
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
Enjoy working in a fast-paced, design-driven, product development cycle
Embody our Culture and Values

Fulltime

Member of Technical Staff, Applied AI Engineer

We’re hiring a Applied AI Engineer to join a fast‑moving, high‑ownership team bu...

Location

United States , Mountain View

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
2+ years shipping production-level code, models, or data analysis.
1+ years using AI-assisted coding and analysis techniques.
Experience working on small teams and mid-stage startup environments.
Experience working on AI products.
PhD in engineering, applied math, statistics, or related analytical field.
4+ years shipping production-level code, models, or data analysis.
Deep experience building from zero-to-one.
Hands on work hillclimbing AI evaluations.

Job Responsibility

LLM Feature & Agent Development
Design and ship LLM‑powered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions.
Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.
Prototype new capabilities rapidly and iterate based on user signals and evaluation data.
Evaluation, Hillclimbing & Quality Systems
Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.
Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance.
Analyze failure modes, design mitigations, and drive systematic improvements across the stack.
LLM Tooling & Internal Infrastructure
Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines

Fulltime

Member of Technical Staff - AI Product - Backend Engineer

Microsoft Corporation

Location:
United States , Mountain View

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 06, 2026

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