Fellow, AI Software Architecture Job at AMD (San Jose)

Software Engineer, Knowledge Assist

The Knowledge Assist (KA) team at Cresta builds AI solutions that help contact c...

Location

Romania , Bucharest; Cluj

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
3+ years of experience in software engineering roles
Strong backend development skills, preferably with Python, Go, Node.js, or similar languages
Proficiency in designing clear, maintainable APIs (e.g., REST, gRPC)
Experience working with databases (PostgreSQL, ClickHouse, Elasticsearch, or equivalents)
Solid understanding of system design, distributed systems, and cloud platforms (AWS, GCP, or Azure)
Clear communication skills and a collaborative working style

Job Responsibility

Build scalable, reliable backend services that power real-time AI assistance and search
Design APIs and data flows to support integrations with knowledge bases and customer systems
Work across the stack when needed, including backend, frontend, and infrastructure layers
Collaborate closely with product managers, machine learning engineers, and fellow software engineers
Take ownership of projects end-to-end, from design through implementation and operation in production
Contribute to technical discussions, architecture reviews, and continuous improvement efforts

What we offer

Compensation for this position includes a base salary, equity, and a variety of benefits

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

Research Intern - AI Systems & Architecture

Research Internships at Microsoft provide a dynamic environment for research car...

Location

United States , Mountain View

Salary:

6710.00 - 13270.00 USD / Month

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Currently enrolled in a PhD program in Computer Science, Electrical/Computer Engineering, or a related field
Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship
submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples

Job Responsibility

Investigate emerging AI system architectures and analyze how hardware, software, and model behavior interact across large-scale inference workloads
Develop and evaluate analytical or simulation-based performance models to identify system bottlenecks, scalability limits, and optimization opportunities
Prototype or assess new inference mechanisms, including disaggregated execution, sparse/expert model scaling, and hierarchical attention techniques
Explore next-generation accelerator, memory-architecture, and interconnect technologies, assessing their architectural trade-offs and cost implications
Conduct experiments, synthesize research findings, and communicate results to mentors and collaborating researchers
Collaborate with fellow interns and researchers to advance new ideas in AI systems and architectural design

Fulltime

Senior Staff Software Developer - Mobile (IOS)

Come join Intuit's DataX team as a Senior Staff Software Developer - Mobile (IOS...

Location

Canada , Toronto

Salary:

179500.00 - 242500.00 CAD / Year

Intuit

Expiration Date

Until further notice

Requirements

Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders
Expertise in developing, maintaining, and innovating large-scale, consumer-facing mobile applications on the iOS platform
5+ years of experience designing complex mobile architectures and distributed systems
Experience with AI technologies/tools and applying them to mobile user experiences or backend solutions
Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python in the context of mobile development
Expertise in Swift and SwiftUI
Experience in the Software design/architecture process, specifically for mobile applications
Experience in the entire Software Development Life Cycle (SDLC), with a focus on mobile releases
Experience with web services (consuming or creating) with REST or SOAP for mobile backends
Prior working experience in a cloud computing environment like AWS/GCP is highly desired

Job Responsibility

Drive velocity in the organization by identifying and driving key opportunities across the mobile platform and broader company, accelerating customer, business, and technology outcomes
Drive significant technology initiatives end-to-end within the iOS platform, including horizontal layers of the mobile architecture
Understand customer behaviors and partner with cross-functional partners (Product Management, Design, etc.) to influence and drive end-to-end mobile solutions for customer problems
Drive the design and implementation of durable and scalable AI-powered iOS solutions that will solve critical customer problems in a fast-paced environment
Execute with a boundaryless mindset and contribute to solutions outside of your primary iOS area of ownership
Leverage knowledge of building AI-native applications to reimagine and enhance existing mobile solutions and create new, innovative experiences
Guide the applicability of AI to customer problems within the mobile context through a deep understanding of the value and limitations of AI technologies
Create robust, scalable, and secure technical designs for iOS applications, effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance
Passionate about continuous learning, experimenting, and applying cutting-edge mobile technologies and AI paradigms to solve customer problems on the iOS platform
Act as a technical subject matter expert for the iOS platform, mentoring fellow engineers and leading technical discussions

What we offer

cash bonus
equity rewards
benefits

Fulltime

Staff Backend Engineer

As a Staff Backend Engineer at Aignostics, you will play a crucial role in shapi...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Advanced degree in a relevant field or extensive work experience
8+ years of software development experience, with at least 2 years as Staff Engineer or an equivalent role
Proven track record of driving technical excellence and innovation
Solid background in data-intensive & event-driven systems and software architecture, design patterns and clean coding
Polyglot with deep experience in multiple programming languages and frameworks
Extensive experience with data storage, management and processing data at scale
Deep understanding of cloud technologies (e.g., GCP, AWS), containerization and orchestration (e.g., Docker, Kubernetes)
Experience with workflow orchestration tools (e.g. Prefect, Airflow) and distributed computing frameworks (e.g. Ray, Spark)
Familiarity with DevOps and DevSecOps practices and tooling (e.g., ArgoCD, Kyverno), CI/CD pipelines (e.g., Gitlab, GitHub), infrastructure as code (e.g., Terraform, Cloud Formation, Crossplane) and observability (e.g., Grafana, Open Telemetry)
Excellent communication skills, able to articulate complex technical concepts to both technical and non-technical stakeholders

Job Responsibility

Define and drive the technical architecture and system design principles for our data management platform and system landscape
Guide the CTO office, product management and fellow engineering leads through complex decisions by providing expert consultation on feasibility, architecture, trade-offs and risk mitigation strategies
Foster technical alignment across teams by establishing shared architectural principles and best practices
Champion technical excellence by leading strategic initiatives that modernize our architecture and reduce technical debt
Elevate the technical capabilities of our engineering staff through structured mentoring, workshops and establishing comprehensive technical guidelines
Drive innovation by evaluating emerging technologies, leading proof-of-concept initiatives and building support for strategic technical investments

What we offer

Learning & Development yearly budget of 1,000 € (plus 2 L&D days)
Language classes and internal development programs
Mentoring program
Flexible working hours and teleworking policy
30 paid vacations days per year
Family & pet friendly and support flexible parental leave options
Subsidized membership of your choice among public transport, sports and well-being
Social gatherings, lunches and off-site events
Optional company pension scheme

Senior Software Engineer (Applied AI)

As a Senior Software Engineer (Applied AI), you will play a critical hands-on ro...

Location

United States , Seattle; New York City; Boston

Salary:

130000.00 - 200000.00 USD / Year

Pearl Health

Expiration Date

Until further notice

Requirements

5-8+ years of professional experience in software engineering, with a strong foundation in service-oriented architectures and distributed systems
Hands-on experience building and productionizing Applied AI/LLM features, including working with RAG architectures, vector databases, embedding models, and/or Agentic workflows
Experience with observability and evaluation practices for production LLM systems (prompt tracking, quality metrics, cost monitoring)
Strong proficiency in Python, relational databases, and a major cloud platform (AWS preferred)
A deep understanding of modern service design principles, including RESTful and event-driven architectures
Proven experience designing, building, and optimizing data-intensive applications
A demonstrated history of mentoring engineers and driving technical best practices within a team
A strong background in performance optimization, reliability engineering, and security best practices

Job Responsibility

Design, build, and own production AI features powered by LLMs, including RAG architectures (chunking strategies, semantic search, vector databases) and Agentic workflows
Develop high-performance data pipelines, APIs, and microservices that process healthcare data at scale and securely integrate LLM outputs into user-facing experiences
Execute Proof-of-Concepts (POCs) and technical evaluations of new AI technologies to validate product viability and scalability
Build responsive web applications using modern frontend frameworks to deliver intuitive, user-facing intelligence and analytic features
Ensure observability, monitoring, and operational excellence for AI-powered services, championing security and regulatory compliance (HIPAA, SOC2)
Drive architectural decisions and system optimizations for AI features in close collaboration with product and engineering leadership
Own technical projects from discovery to delivery with autonomy, ensuring solutions align with business needs and long-term scalability
Mentor and upskill fellow engineers on Applied AI best practices, fostering a strong culture of technical excellence and collaborative growth
Contribute to the team's understanding of LLM capabilities, limitations, and best practices within the healthcare domain
Participate in thorough design and code reviews, raising the bar for technical quality across the team

What we offer

discretionary performance bonus
equity options
competitive benefits package

Fulltime

Staff / Senior AI Product Engineer

The opportunity The way software is built is changing, and fast! Engineers who ...

Location

Czechia , Prague

Salary:

Not provided

ProductBoard

Expiration Date

Until further notice

Requirements

7+ years of professional software engineering experience, with a proven track record of shipping scalable production systems
Deep hands-on experience with LLMs in real products — including prompt design, context management, evaluation, and understanding real-world limitations (hallucinations, latency, cost, reliability)
Experience building agentic systems is highly valued. Alternatively, deep hands-on work with advanced LLM workflows (tool use, multi-step reasoning, memory, orchestration) and a clear understanding of their trade-offs — along with the drive and technical maturity to quickly evolve toward agentic architectures
You think like a builder — ideally a former founding engineer or founder — with a strong instinct for shipping what truly moves the product and the company forward
You’re drawn to agent-native architecture and believe this is where software is heading
You rely on AI tools daily (e.g., Cursor, Claude Code) and treat them as a core part of your engineering workflow
Comfortable working in distributed systems and event-driven architectures (e.g., queues, async processing, service-to-service communication)
Able to lead complex technical initiatives end-to-end, raising the bar for architecture, quality, and engineering culture

Job Responsibility

Building AI-powered product features
Enhancing and sustaining our internal tech stack, while identifying and incorporating new state-of-the-art technologies
Discovering and experimenting across different domains, creating MVPs and POCs, engaging in discussions about findings with fellow engineers and the product team, and planning the execution
Make our codebase AI-ready: define clear module boundaries, improve API contracts, add semantic context, and build the structured documentation that makes AI agents more effective across every repo
Design and implement agent workflows that go beyond chat: multi-step reasoning, tool use, autonomous task execution, and human-gated checkpoints
Run experiments, validate with real users, and iterate based on evidence. We measure learning velocity, not just output
Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone

What we offer

Stock options
MacBook + 34″ monitor
Budget for online courses, books, and conferences
5 weeks of vacation + 9 sick days
Volunteer Days for you to help causes close to your heart
Carrot Fertility Benefits
Free snacks, drinks, and yummy catered lunches
MultiSport card to access sports facilities
Flexible working hours and home office
Parental benefits

Fulltime

Senior Software Engineer, Fellow Experience

As a Senior Software Engineer on the Fellows Allocations team, you will architec...

Location

United States , San Francisco

Salary:

200000.00 - 235000.00 USD / Year

Handshake

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience with a backend-leaning orientation and demonstrated tech lead capabilities
Strong proficiency in TypeScript and experience with full-stack development
our stack includes Next.js, TRPC, GraphQL, and PostgreSQL
Experience building and scaling larger workflows and asynchronous job orchestration (experience with Temporal or similar systems is a plus)
Proven ability to architect systems at scale, ideally with experience at larger, more established companies solving complex problems
Strong ownership mentality with high availability and dedication to the team's success
Product engineer mindset
you think beyond the code to understand user impact and business outcomes
Excellent communication skills and ability to partner effectively with product managers and cross-functional teams
Opinionated about engineering best practices with the confidence to question existing code structures and drive improvements

Job Responsibility

Lead the architecture and long-term technical vision for scaling our automatic allocations system, designing solutions that match fellows to projects with precision and efficiency
Drive engineering excellence by establishing standards and best practices that elevate the team's technical capabilities
Build and own the full journey from fellow verification through successful onboarding to the start of tasking
Develop high-quality, high-velocity code while maintaining a strong balance between speed and product reliability
Partner closely with product managers to deliver seamless user experiences, bringing strong product sense to technical decisions
Mentor and grow engineers on the team, fostering a culture of ownership and technical excellence
Respond to and resolve emergency situations tied to fellow onboarding volume, quality, and project matching

What we offer

Ownership: Equity in a fast-growing company
Financial Wellness: 401(k) match, competitive compensation, financial coaching
Family Support: Paid parental leave, fertility benefits, parental coaching
Wellbeing: Medical, dental, and vision, mental health support, wellness stipend
Growth: Learning stipend, ongoing development
Remote & Office: Internet, commuting, and free lunch/gym in our SF office
Time Off: Flexible PTO, 15 holidays + 2 flex days
Connection: Team outings & referral bonuses

Fulltime

Fellow, AI Software Architecture

AMD

Location:
United States , San Jose

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 24, 2026

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