Jobs in the United States

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Senior Distributed Systems Engineer
OpenDataLabs
Remote, United States
We’re looking for a Distributed Systems Engineer to help design and build the scalable infrastructure powering data access and compute in the Vana network.
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VA
AI Developer
Vasst AI
United States
- $45,000 to $60,000 USD / year
…solutions. You’ll collaborate closely with cross-functional teams to design and deploy AI models that elevate user experience and push the boundaries of AI-driven…
Added just now
Electrical Engineer
VU Talent Partners
San Francisco, CA
…defense laser platforms. You will lead end‑to‑end beam‑train design, automated aiming, and materials‑testing efforts across pulsed and CW regimes, progressing from lab prototype to…
Added 1 min ago
Product Manager
Worship Initiative
Dallas, TX
Partner with Design, Engineering, and Content to deliver the features the product needs that solve problems for our users and unlock the desired outcomes of the business
Added 1 min ago
ZC
Full Stack Developer – Microsoft Cloud Platform (Azure, Power Platform)
Zero Carbon Company
United States
- £45,000 to £60,000 GBP / year
Design, develop, and maintain applications using the latest Microsoft Products (including Power Apps and Power Pages)
Added 1 min ago
Senior Data Scientist
Acrobat Genomics
CA · San Francisco, CA
As Senior Data Scientist, you'll lead the development of our computational platforms across multiple projects and technology areas and will work closely with our wet lab scientists to drive…
Added 1 min ago
Research Associate
Acrobat Genomics
San Carlos, CA
● Collect, organize, and analyze data to help make key decisions
Added 1 min ago
AR
Mid/Senior Level Robotics Software Engineer
AlphaOne Robotics
Dallas, TX
- $100,000 to $150,000 USD / year
Analyze production data, logs, and metrics to diagnose root causes and implement fixes.
Added 1 min ago
Technical / Solutions Architect
Anyday Inc.
Remote, United States
Some problems at Anyday are solved with great design. Some with great code. And some require someone who can zoom all the way out, look at a sprawling multi brand enterprise ecosystem, and…
Added 2 mins ago
HPC & MLOps Engineer
C-Gen.AI
Mountain View, CA
As an HPC & MLOps Engineer, you will be a foundational member of our Data Center team - integral to the design, deployment, and maintenance of high-performance computing (HPC) and MLOps…
Added 2 mins ago
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Pharmacy Solutions Architect
CareTria (Patient Access Solutions Division)
Remote, United States
- $95,000 to $120,000 USD / year
Omnichannel Experience Design: Architect intelligent IVR workflows leveraging APIs, CRM integrations, and dynamic data routing. Drive self-service containment strategies and personalization…
Added 2 mins ago
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Employee Experience Partner
Fireworks
San Mateo, CA
- $160,000 to $200,000 USD / year
…to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures,…
Added 2 mins ago
CL
Senior Fullstack Engineer
Circle Labs
New York City, NY · Boston, MA
- $135,000 to $200,000 USD / year
…our software applications and platforms that enable seamless data management, analysis, and visualization. You will collaborate closely with cross-functional teams, including…
Added 3 mins ago
Senior Product Manager
Credify Africa, Inc
United States
We are looking to onboard our first Product Manager on the team to lead the design, development, and implementation of our platform. The ideal candidate must be a leader with deep technical…
Added 3 mins ago
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Project Engineer - Building Group
Royal Electric
Pleasanton, CA
- $80,000 to $120,000 USD / year
Why Royal? At Royal Electric Company we provide expert electrical design, construction, and service with builders, contractors and facility owners who value relationships, trust, expertise,…
Added 3 mins ago
DL
Senior AWS Architect with Advanced Kubernetes
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Remote, United States
- $130,000 to $140,000 USD / year
Design, manage, and optimize CI/CD pipelines ensuring seamless deployments.
Added 3 mins ago
Founding AI Engineer
Daylight Infrastructure
San Francisco, CA
…buildout of GWs of energy for compute. We help hyperscalers, data center developers, real estate developers, and energy suppliers advance powered…
Added 3 mins ago
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Data Engineer V - US
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Remote, United States
- From $165,830 USD / year
Expert-level SQL, data modeling, and semantic-layer design; sets standards for the team's schema/pipeline design patterns.
Added 3 mins ago
Cloud Data Architect
Fourth Dimension Tech
Remote, United States
Design and implement cloud-based data architectures using AWS services.
Added 4 mins ago
Principal Recruiter
Jerry
Palo Alto, CA
…product management, business operations & analytics, product design/research, growth marketing, communications, legal, content, human resources, finance and…
Added 4 mins ago
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SVP, Data Science & AI Product Enablement
Monks
United States
- $225,000 to $275,000 USD / year
Monks is a global digital marketing and data company within the S4 Capital Group, helping the world's most ambitious brands grow through the integration of data, content, media, and…
Added 5 mins ago
Backend / Full Stack Developer (Mid to Senior)
Marketup Media
Remote, United States
Ψάχνουμε έναν/μια Backend Developer που να ξέρει το web σε βάθος. Θέλουμε κάποιον που καταλαβαίνει πώς ρέει ένα HTTP αίτημα μέσα από το σύστημα, μπορεί να σχεδιάσει καθαρό domain model, και…
Added 5 mins ago
MC
VP of Utility Solutions
Mercury Computing
Remote, United States
- $150,000 to $250,000 USD / year
We are actively piloting Mercury with Duke Energy in the Carolinas, where we have enabled the first flexible data center capacity expansion project with real-world AI workloads. We're…
Added 5 mins ago
MC
VP of Data Center Solutions
Mercury Computing
Remote, United States
- $150,000 to $250,000 USD / year
We are actively piloting Mercury with Duke Energy in the Carolinas, where we have enabled the first flexible data center capacity expansion project with real-world AI workloads. We’re…
Added 5 mins ago
M
Operations Manager
Mobena
Remote, United States
- $75,000 to $99,000 USD / year
…recruiting pipelines, optimize our interviewing loops, and design a world-class onboarding experience for new…

Memory Bridge

Sr. Backend Engineer

Remote, United States

IRR 800,000,000 to IRR 1,200,000,000 IRR / year

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Job details

Pay: IRR 800,000,000 to IRR 1,200,000,000 IRR / year
Experience: 4–6+ years of experience building robust backend systems
Posting language: English

Original job description

ما به سراغ یکی از چالش‌برانگیزترین مسائل هوش مصنوعی رفته‌ایم: اینکه چطور می‌توان با کمترین خدشه‌ به حریم خصوصی کاربران، حافظه‌ای بی‌نقص برای مدل‌های زبانی بزرگ فراهم کرد. اگر شما توسعه‌دهنده‌ی بک‌اندی هستید که عاشق طراحی سیستم‌های ماژولار، سریع، و قابل‌اعتمادید، و دلتان می‌خواهد کدی بنویسید که در دل یک محصول واقعی زندگی می‌کند، ما مشتاق آشنایی با شما هستیم. ما به‌دنبال کسی هستیم که هم از معماری داده لذت ببرد، هم بتواند با تیم ماشین لرنینگ همکاری نزدیک داشته باشد، و هم وقتی لازم است خودش تصمیم بگیرد و جلو برود.

At Memory Bridge, we're tackling one of the hardest problems in AI: giving large language models perfect memory while preserving user privacy. We're looking for an exceptional Backend Developer who understands that building a real-time memory layer for AI isn't just about connecting APIs - it's about architecting systems that can handle personal memories with low latency while maintaining bulletproof privacy guarantees. You'll design and build the infrastructure that powers our multi-tier memory system, privacy enforcement layer, and cross-platform integrations. This is a rare opportunity to join our team as the founding backend engineer, where your architectural decisions will directly shape how AI systems store, protect, and retrieve human memories. If you're a systems thinker who gets excited about distributed storage, real-time data pipelines, and privacy-first architecture, we should talk.

About You

The ideal candidate has built production backend systems that handle sensitive user data, understanding the delicate balance between performance and privacy. You've architected APIs that serve real-time requests, designed data models that scale, and implemented security measures that protect user information by default.
You're comfortable working across the stack when needed - from optimizing database queries to configuring deployment pipelines. You understand that in a startup, backend engineering means owning the full lifecycle of your services.
You thrive in collaborative environments and can work effectively with ML engineers to ensure smooth integration between backend services and ML pipelines.
You understand when to introduce complexity and when to keep things lean
You like working in small teams where decisions move fast and ownership is shared.
You love building resilient APIs with proper retries, circuit breakers, and fallback strategies.

Key Responsibilities

Design and implement the core backend architecture supporting multi-tier memory storage (working, episodic, semantic), with appropriate data models and access patterns for each tier
Build the privacy enforcement layer that ensures memory filtering happens before retrieval, implementing user-defined trust tiers and data sensitivity classifications with practical security measures
Develop high-performance APIs that handle real-time prompt augmentation, including intelligent caching strategies and query optimization
Architect secure multi-tenant data isolation ensuring one user's memories never leak to another, using proven patterns and appropriate encryption
Implement robust integration pipelines for LLM providers (OpenAI, Anthropic, etc.) with proper error handling, retry logic, and graceful degradation
Collaborate closely with the ML engineer on the hybrid retrieval system, providing backend support for vector search, keyword search, and graph queries
Design the cross-platform synchronization system that keeps memory consistent across browser extensions and desktop applications
Set up monitoring, logging, and alerting systems to ensure production reliability - you'll own what you build
Work with PM to translate product requirements into technical architecture that balances features with system constraints
Own deployment pipeline and basic infrastructure

Requirements (Must-haves)

4–6+ years of experience building robust backend systems
Expert-level Python development with strong architectural pattern
Deep understanding of asynchronous programming patterns and event-driven architectures
Proven ability to design and operate scalable RESTful APIs with proper versioning and documentation
Advanced PostgreSQL skills (query optimization, indexing strategies, understanding of ACID properties)
Experience with MongoDB or similar document stores for flexible data structures
Practical security knowledge: implementing authentication (JWT/OAuth), encryption at rest and in transit, and secure coding practices
Experience with Redis or similar caching solutions for performance optimization
Solid understanding of message queues for async processing
Strong testing practices across unit, integration, and end-to-end testing
Proficiency with Docker for containerized development and deployment
Experience with CI/CD pipelines and automated deployment processes
Comfort with owning production systems and debugging complex issues
Experience with Infrastructure as Code (Terraform)

Nice-to-Have Skills

Direct experience with LLM provider APIs and their quirks
Background in building memory systems, caching layers, or real-time data pipelines
Experience with observability platforms (Datadog, Prometheus/Grafana)
Knowledge of event streaming architectures
Experience with GitHub Actions for CI/CD automation
Basic understanding of ML concepts to better collaborate with ML engineers
Experience with browser extension backends

Tech Stack & Tools Core

Python – Primary backend language for agentic services
FastAPI – Our choice for HTTP server
Git/GitHub – Version control and collaboration
GitHub Actions – CI/CD automation and deployment pipelines

Databases & Caching

PostgreSQL – Primary database for user data and relational queries
MongoDB – Document store for flexible memory structures
Redis – Caching layer and session management
Vector database integration – Supporting infrastructure for ML features

Messaging & Integration

RabbitMQ or Kafka – For async processing and event-driven architecture
REST APIs – Primary integration pattern

Infrastructure & DevOps

Docker & Docker Compose – Containerization and local development
Basic cloud deployment – Scripted deployments, not over-engineered
Monitoring basics – Logging, metrics, and alerting (specific tools flexible)

Security & Integration

Authentication – JWT and OAuth 2.0 basics
HTTPS/TLS – Standard encryption in transit
Environment-based secrets management – Not necessarily a complex vault system
Rate limiting – Basic protection against abuse

•

How To Apply At Memory Bridge, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don't exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the updated resume is essential. Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process. Memory Bridge is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Memory Bridge does not discriminate based on someone's identity in any aspect of hiring or employment, as required by law and in line with our commitment to Diversity, Inclusion, Belonging, and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Memory Bridge will consider all qualified applicants, including those with criminal histories, consistent with applicable laws. The anticipated application window is 30 days from the date the job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled. How We Work We are a remote-native company, intentionally designed for deep work and focused execution. We hire the best minds, wherever they are, and empower them to solve some of the hardest problems in AI. Our culture thrives on asynchronous communication, radical transparency, and a commitment to sustainable performance - not burnout. If you're obsessed with building the infrastructure layer that will power the future of personalized AI and want to solve hard problems at the intersection of performance, privacy, and scale, we want to hear from you.

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More about this job

Skills

Data models
ML
Product comprehension
Python
API development
Documentation
PostgreSQL
MongoDB
Redis
Docker
CI/CD
Debugging
Infrastructure as code
IBM Terraform
Datadog
Prometheus
Grafana
GitHub
Apache HTTP Server
Git
Collaboration
RabbitMQ
Apache Kafka
DevOps

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