AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Senior Engineer - Quality Assurance
Securely scale enterprise AI workloads using sovereign cloud infrastructure, high-performance accelerators, and a unified platform for diverse model access.
Benefits:
Competitive Salary
Yearly Bonus
Exclusive Discount Cards
Premium Family Insurance
Learning & Development
Education Requirements:
Bachelor’s degree in computer science, IT, or Electronics Engineering
Experience Requirements:
8 or more years experience in software test engineering and automation
Hands-on coding with automated testing framework (Playwright, Python)
Experience testing web applications, backend APIs, and native mobile apps
Experience with Test Management Tools like JIRA, Postman, QMetry
Exposure to cloud platform Azure
Other Requirements:
Ability to write shell scripts
Ability to query databases and write SQL queries
Responsibilities:
Design effective test strategies and deduce test scenarios
Design automation frameworks and maintain pipelines
Manage test efforts effectively for platform services
Estimate test effort within an Agile environment
Debug microservice architecture to analyze errors and bugs
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Senior Network Engineer
Securely scale enterprise AI workloads using sovereign cloud infrastructure, high-performance accelerators, and a unified platform for diverse model access.
Education Requirements:
Bachelor's degree or equivalent in Computer Science or a related field
Experience Requirements:
Total 8+ years of experience with Routing & Switching
Cisco Certified Internetworking Expert (CCIE)
Palo Alto (PCNSE) or Fortinet NSE Certification
Experience designing and implementing Cisco ACI based Data Centers
Strong skills on producing technical documentation like HLD and LLD
Other Requirements:
Knowledge of hardware platforms such as Nexus 9K
Experience with Cisco Call managers and meeting servers
Responsibilities:
Implement Data center networking technologies including Cisco ACI and NSX-T
Conduct user acceptance testing and troubleshoot implementation issues
Provide ongoing support including troubleshooting and system maintenance
Perform advanced problem determination and root-cause-analysis
Act as Technical lead to 3rd party vendors for technical assurance
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Senior Engineer - Network & Security (Core42)
Securely scale enterprise AI workloads using sovereign cloud infrastructure, high-performance accelerators, and a unified platform for diverse model access.
Education Requirements:
Bachelor's degree or equivalent in Computer Science or related Engineering field
Experience Requirements:
7 to 10 years' experience in Network Security field
Palo Alto (PCNSE) or Fortinet NSE Certification
Azure Security Engineer (AZ-500) and AZ-700 certifications
Hands-on experience implementing Landing-Zone components on Azure
Hands-on experience with SDN solutions such as NSX and ACI
Other Requirements:
Familiarity with PowerShell, Azure CLI, Terraform and ARM templates
Knowledge of compliance standards such as PCI-DSS and ISO 27001
Responsibilities:
Design and implement network and security infrastructures in Data Centers
Implement Core and Perimeter firewalls for various providers
Design and implement connectivity including Azure ExpressRoute and VPN
Conduct regular security assessments and vulnerability scans
Develop High level Design (HLD) and low-level design (LLD) documents
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Cloud Engineer
Securely scale enterprise AI workloads using sovereign cloud infrastructure, high-performance accelerators, and a unified platform for diverse model access.
Benefits:
Competitive Salary
Yearly Bonus
Exclusive Discount Cards
Premium Family Insurance
Learning & Development
Education Requirements:
Bachelor’s degree in Computer Science, IT, or related field
Experience Requirements:
Technical Implementation experience in VMware and Wintel environments
Experience in a Cloud Engineer role
Strong understanding of multi-cloud and hybrid cloud migrations
Experience with Infrastructure as Code (Terraform preferred)
Certifications from Azure, AWS, VMware, or G42 providers
Other Requirements:
ITIL Foundation certification
Awareness of project management frameworks
Responsibilities:
Implement and manage multi-cloud infrastructure following best practices
Perform infrastructure assessments and deliver due-diligence reports
Execute large-scale migrations of Microsoft services like AD and Exchange
Develop low-level designs and Disaster Recovery Plans
Plan and execute Operational Readiness for infrastructure projects
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Data Engineering
Accelerate enterprise AI deployment and integrate legacy systems into scalable agentic workflows in just 90 days with a proven, fixed-price production system.
Benefits:
Staff-first culture
Mentorship
Individual Development Plan
Learning and growth
Trust and transparency
Experience Requirements:
Technical excellence
Culture fit
High performer
Other Requirements:
Complete Topgrading framework process
Reference checks setup by applicant
Responsibilities:
Collaborate using an Agile approach
Work in achievable sprints
Technical deployments
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ML Engineering
Accelerate enterprise AI deployment and integrate legacy systems into scalable agentic workflows in just 90 days with a proven, fixed-price production system.
Benefits:
Staff-first culture
Mentorship
Individual Development Plan
Learning and growth
Trust and transparency
Experience Requirements:
Technical excellence
Culture fit
High performer
Other Requirements:
Complete Topgrading framework process
Reference checks setup by applicant
Responsibilities:
Collaborate using an Agile approach
Work in achievable sprints
Technical deployments
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Backend Developer
Accelerate enterprise AI deployment and integrate legacy systems into scalable agentic workflows in just 90 days with a proven, fixed-price production system.
Benefits:
Staff-first culture
Mentorship
Individual Development Plan
Learning and growth
Trust and transparency
Experience Requirements:
Technical excellence
Culture fit
High performer
Other Requirements:
Complete Topgrading framework process
Reference checks setup by applicant
Responsibilities:
Collaborate using an Agile approach
Work in achievable sprints
Technical deployments
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Software Engineering
Accelerate enterprise AI deployment and integrate legacy systems into scalable agentic workflows in just 90 days with a proven, fixed-price production system.
Benefits:
Staff-first culture
Mentorship
Individual Development Plan
Learning and growth
Trust and transparency
Experience Requirements:
Technical excellence
Culture fit
High performer
Other Requirements:
Complete Topgrading framework process
Reference checks setup by applicant
Responsibilities:
Collaborate using an Agile approach
Work in achievable sprints
Technical deployments
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Solution Architecture
Accelerate enterprise AI deployment and integrate legacy systems into scalable agentic workflows in just 90 days with a proven, fixed-price production system.
Benefits:
Staff-first culture
Mentorship
Individual Development Plan
Learning and growth
Trust and transparency
Experience Requirements:
Technical excellence
Culture fit
High performer
Other Requirements:
Complete Topgrading framework process
Reference checks setup by applicant
Responsibilities:
Collaborate using an Agile approach
Work in achievable sprints
Technical deployments
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DevOps Engineering
Accelerate enterprise AI deployment and integrate legacy systems into scalable agentic workflows in just 90 days with a proven, fixed-price production system.
Benefits:
Staff-first culture
Mentorship
Individual Development Plan
Learning and growth
Trust and transparency
Experience Requirements:
Technical excellence
Culture fit
High performer
Other Requirements:
Complete Topgrading framework process
Reference checks setup by applicant
Responsibilities:
Collaborate using an Agile approach
Work in achievable sprints
Technical deployments
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Senior Software Engineer
Uncover hidden relationships and risks in Chinese corporate networks using a database of 14 million entities to ensure trade compliance and national security.
Benefits:
Competitive compensation including salary, equity, and rapid growth potential
100% company-paid Medical, Dental, and Vision coverage for employees
FSA, HSA, and 401(k) options
Generous paid time off plus company-wide holidays
Commuter benefits
Education Requirements:
BS in Computer Science, a related technical field, or equivalent practical experience
Experience Requirements:
5+ years of experience as a software engineer
Significant experience (3+ years) working on the backend
Delivered at least one application or service from design to production
Experience at least one prior startup
Other Requirements:
Strong proficiency in Python
Strong communication skills with both technical and non-technical teammates
Experience with asyncio, gRPC, Django, FastAPI, Terraform, or Parquet
Experience with large-scale data processing (PySpark, Spark, Snowflake)
Experience with knowledge graphs or large-scale data pipelines
Responsibilities:
Build scalable, reliable, and maintainable systems able to handle more data and queries
Design and build platform APIs upon which multiple product features depend
Work alongside product managers, UX designers, and engineers to deliver features
Advocate for and prototype new technology solutions
Continuously improve engineering processes, culture, and tools
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Senior Machine Learning Engineer
Automate complex business workflows and scale operations with production-ready AI engineering, including custom agentic solutions and document intelligence.
Experience Requirements:
industrial experience
Other Requirements:
Do you know anyone that works at Red Buffer?
Can we contact you about other jobs at Red Buffer?
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Undergraduate Engineering Intern
Build sustainable habitats in extreme environments using autonomous robotics and large-scale 3D printing for space agencies and remote industrial organizations.
Benefits:
Paid internship opportunity
Education Requirements:
Pursuing a degree in Engineering (Mechanical, Electrical, Aerospace, or Computer Engineering) from an accredited U.S. university
Rising Sophomore or Junior with a strong academic record
Experience Requirements:
Past experience with, and a desire to, work hands-on with physical projects
Other Requirements:
Must be a U.S. citizen
Curious about new challenges and willing to work outside your comfort zone
Ability to work effectively in a collaborative team environment
Strong problem-solving skills and taking initiative
Excellent communication and organizational skills
Responsibilities:
Assist SpaceFactory engineers in building and testing prototypes
Assemble equipment and conduct experimental tests under supervision
Participate in NASA-related research and development
Engage in multidisciplinary team discussions and contribute to problem-solving sessions
Support ongoing projects with design, analysis, and implementation of technical solutions
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Research Engineer
Build high-performance vision applications with an efficient VLM that enables real-time image tagging, robotics navigation, and resilient UI automation testing.
Benefits:
Health
dental
vision
paid parental leave
relocation support
Experience Requirements:
Trained models from scratch
Ability to implement research papers quickly
Proficiency in CUDA or Triton
Experience with PyTorch performance
Other Requirements:
Must be in-person in San Francisco
No remote work
Responsibilities:
Design the architecture
Train the model
Write the kernel
Analyze failures and figure out why
Make technical decisions closest to the problem
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Machine Learning Engineer
Optimize complex systems in real-time for industrial enterprises using physics-informed AI to improve efficiency, scale operations, and reduce carbon emissions.
Benefits:
Remote-first company environment
Work from anywhere in the U.S.
Work with a world-class team of AI engineers
Lead the next frontier of AI adoption in Energy
Solve high-value challenges impacting the future
Experience Requirements:
3+ years of ML engineering experience
Expertise in Python, TensorFlow or PyTorch, NumPy/SciPy, and FastAPI
Experience building and managing ML pipelines (CI/CD, Git, Docker)
Demonstrated ability to deploy and manage ML models at scale
Other Requirements:
U.S. work authorization required
Strong understanding of neural networks and optimization algorithms
Familiarity with physics-informed ML or simulation-based learning
Strong collaboration and problem-solving skills
Experience in modeling physical processes is a plus
Responsibilities:
Design, refactor and optimize ML models into production code
Develop and maintain training pipelines and deployment workflows
Collaborate with Solutions Architects on integration requirements
Implement and test physics-informed and hybrid ML models
Manage model performance for real-time decision-making
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Growth & GTM Engineer
Gain visibility into AI and human software development lifecycles to improve code quality, accelerate delivery, and measure the real ROI of generative AI tools.
Benefits:
Early-stage leverage
Real ownership
High Learning Velocity
High trust, high autonomy
Experience Requirements:
2 to 4 years
Proven track record in B2B Growth, Demand Gen, or Marketing Ops
Other Requirements:
HubSpot (CRM/MA), Clay (Enrichment), GA4, and Automation/IPaaS tools
Expertise in Zapier/n8n/make.com, APIs, SQL, and CRM architecture
Systems Thinker: You build for reuse and scalability
High proficiency in data interpretation and experiment design
Responsibilities:
GTM Architecture & Strategic Modeling
Technical Stack & Data Engineering
Campaign Engineering & AI Implementation
Full-Funnel Analytics & Optimization
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Senior Data Infrastructure Engineer
Gain visibility into AI and human software development lifecycles to improve code quality, accelerate delivery, and measure the real ROI of generative AI tools.
Benefits:
Build the data foundation for AI-driven engineering insights
Work directly with founders and senior architects
Work visible in dashboards viewed by CTOs and CEOs
Shape productivity measurement for thousands of engineers
Fast-moving, no-ego, design-driven culture
Experience Requirements:
5 to 10 years
6–10 years as a Backend or Data Engineer
Deep hands-on expertise with Java and AWS
Experience fetching data from GitHub, Jira, or Jenkins APIs
Expertise in Postgres performance tuning
Other Requirements:
Strong fundamentals in data modeling and incremental updates
Experience handling 100M+ records in multi-tenant environments
Knowledge of AWS (S3, ECS, RDS, Lambda, CloudWatch)
Ability to build self-healing, production-grade pipelines
Responsibilities:
Build and scale multi-source data ingestion from Git and Jira
Refactor and optimize Java-based ETL pipelines
Design and implement parallel, event-driven processing (Kafka/SQS)
Own Postgres optimization (schema, partitioning, indexing)
Maintain data orchestration, lineage, and observability
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Lead Security Engineer
Automate complex banking resolutions and enhance member wellness for credit unions and community banks with agentic AI that ensures 24/7 financial-grade compliance.
Education Requirements:
Bachelor's degree in Computer Science, Information Security, or a related field.
Experience Requirements:
6+ years of experience in security engineering with a primary focus on application and cloud security
Proficiency with programming languages like Java, Python, JavaScript and SQL
In-depth knowledge of application security vulnerabilities and threat modeling
Deep familiarity with AWS security architecture and services
Experience with DevSecOps tools (SAST, DAST, container scanning)
Other Requirements:
Certifications such as OSCP, AWS Security Specialty, or CISSP preferred
Experience in high-compliance industries (financial services, healthcare) preferred
Responsibilities:
Perform security assessments across our application stack
Build and maintain secure SDLC practices
Design and maintain secure configurations for AWS environments
Champion a shift-left approach to security
Support compliance initiatives by building and documenting controls
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SDE III - Backend
Automate complex banking resolutions and enhance member wellness for credit unions and community banks with agentic AI that ensures 24/7 financial-grade compliance.
Experience Requirements:
4+ years of experience in backend engineering
Strong backend programming skills like Java, Node.JS, or similar
Proven experience building and scaling distributed services, APIs, and event-driven systems
Familiarity with infrastructure tools such as Docker, Kubernetes, and CI/CD pipelines
Experience integrating services with data stores and message queues
Other Requirements:
Experience working on AI-enabled or ML-integrated platforms preferred
Prior experience working in fast-paced, high-growth product teams
Responsibilities:
Design and build high-availability, low-latency services
Contribute to orchestration logic for tool invocation and session management
Integrate backend systems with AI components like language models
Identify and resolve performance bottlenecks and scalability challenges
Participate in design and architecture reviews and mentor junior engineers
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Platform Engineer
Automate complex banking resolutions and enhance member wellness for credit unions and community banks with agentic AI that ensures 24/7 financial-grade compliance.
Experience Requirements:
5–8 years of core DevOps experience building infrastructure from scratch
Deep expertise in Docker, Kubernetes, Helm, and container orchestration
Hands-on with Terraform, Crossplane, and declarative infrastructure management
Proven ability to deploy AI/LLMs and agent workflows reliably in production
Expertise with vector databases (tuning and scaling)
Other Requirements:
Proficiency in monitoring and logging tools (Prometheus, Grafana)
Proficiency in scripting/programming (Python, Bash, Go)
Knowledge of security best practices in cloud environments
Responsibilities:
Design, implement, and scale infrastructure across AWS, GCP, or Azure
Build and manage Kubernetes clusters and service mesh
Architect CI/CD pipelines (ArgoCD/GitOps, Jenkins)
Define and track key metrics for AI/LLMs and agent workflows
Implement end-to-end tracing for multi-turn queries using OpenTelemetry
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