Jobs in the United States

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Added 1 min ago
Full-Stack Mobile Software Engineer
Spirit AI
Alexandria, VA · Arlington, VA · Fairfax, VA · Tysons, VA · Washington, DC
This role is perfect for someone who loves both creative engineering and product thinking - designing interfaces that feel magical while ensuring the systems behind them are fast, secure,…
Added 1 min ago
Associate AI Engineer
Core VC
Los Angeles, CA
You'll work 1:1 with Core's Head of AI to design, build, and run experiments across sourcing, research, and our data platform. You won't be handed a backlog of tickets. You'll have a real…
Added 1 min ago
Lead Application Engineer
Deliberately.ai
San Francisco, CA
Lead the design, development, and deployment of complex projects across the application stack (UI, backend, infrastructure).
Added 2 mins ago
Chief Technology Officer (CTO)
Dwellci AI
NY · New York City, NY
…strategy, product development, and AI innovation. You will lead the engineering team, oversee AI model development, and ensure the scalability and efficiency of our technology. This is an…
Added 3 mins ago
QL
Full-Stack TypeScript Developer
Qatalyst Labs
United States
- $18,000 to $36,000 USD / year
…experts to build innovative products and agentic systems in HR Tech, EdTech, and Health…
Added 4 mins ago
S
Head of Engineering
Seer
San Francisco, CA
- $140,000 to $160,000 USD / year
As the Head of Engineering, you will architect our platform strategy. You'll work on everything from developing new features, adding enhancements, troubleshooting bugs, and directly…
Added 5 mins ago
JR
Founding Engineer
JumpStars Rocket Roles
San Francisco, CA
- $130,000 to $200,000 USD / year
End-to-End Ownership: Lead engineering projects from initial concept and design through to deployment, monitoring, and iteration, ensuring robust and scalable solutions.
Added 5 mins ago
T
Full Stack Engineer
Talented.co
Bellevue, WA
- $140,000 to $180,000 USD / year
We are a rapidly growing tech company focused on AI Voice. We are looking for a talented and passionate Full Stack Engineer to join our dynamic team and contribute to the development of…
Added 5 mins ago
Backend Engineer - ONDC
Kirana Pro
United States
…product managers, ONDC protocol teams, and cross-functional engineering groups to develop and maintain reliable APIs and backend infrastructure aligned with ONDC…
Added 6 mins ago
Senior Backend Engineer - India
Lighthouz AI
Remote, United States
We're looking for a Backend Engineer with familiarity with front end tech to join our fast-growing engineering team. You'll play a key role in building and scaling the core infrastructure…
Added 6 mins ago
Full Stack Developer
THE LNK
United States
Collaboration: Work closely with product managers, designers, engineering managers, and other stakeholders to significantly contribute to the success of THE LNK’s business and engineering…
Added 7 mins ago
Creative Strategist
Withings
Boston, MA
We combine medical-grade engineering with elegant French design. We are backed by 150 clinical studies and have sold over 10 million devices worldwide. The US is now our primary growth…
Added 7 mins ago
Solution Sales Engineer
Expereo
Reston, VA
We are looking for an experienced Solution Sales Engineer to work in close partnership with Product, Engineering, Marketing, and regional Sales teams to drive strategic revenue growth…
Added 8 mins ago
Founding Software Engineer
Perceptis AI
Everett, WA · San Francisco, CA · Seattle, WA · Sunnyvale, CA
We care about thoughtful design and robust software engineering.
Added 9 mins ago
Senior/Staff Software Engineer [Full Stack]
Prudentia Sciences
Boston, MA · New York, NY
API & Integration Engineering: Design and maintain clean, scalable APIs between the core LLM orchestration layer and the platform. Collaborate closely with ML engineers to expose model…
Added 10 mins ago
TB
Wankered Software Engineer
The Big Brother
Los Angeles, CA
- $450,000 to $575,000 USD / year
…creatively come up with solutions to solve customer's needs. Our tech stack currently involves TypeScript, React, styled-components, and…
Added 10 mins ago
S
Founding Engineer
Shift
San Francisco, CA
- $150,000 to $210,000 USD / year
You’re allergic to over-engineering and legacy theater. Simple beats clever; boring tech that scales beats shiny tech that flakes.
Added 12 mins ago
S
Senior Software Engineer
Source
Remote, United States
- $155,000 to $175,000 USD / year
Lead product and engineering teams through the technical design and development of new features, from data model documentation to API designs and backend microservices.
Added 12 mins ago
S
Senior Platform / Infra Engineer
Skylink
New York City, NY
- $150,000 to $190,000 USD / year
…code. You thrive in ambiguous settings and know how to balance tech debt and "doing things right". You want to be part of a small, fast-paced, and energetic team looking to impact global…
Added 14 mins ago
AR
Mid/Senior Level Robotics Software Engineer
AlphaOne Robotics
Dallas, TX
- $100,000 to $150,000 USD / year
Bachelor's or Master's degree in Robotics, Electrical Engineering, Mechanical Engineering, Software/Computer Engineering, Mechatronics, Automation, or a closely related field
Added 14 mins ago
Sr Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government
Amazon Web Services, Inc.
Jessup, MD · Arlington, VA · Seattle, WA · New York, NY · Denver, CO · Herndon, VA
A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering…
Added 14 mins ago
Sr Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government
Amazon Web Services, Inc.
Jessup, MD · Arlington, VA · Seattle, WA · New York, NY · Denver, CO · Herndon, VA
A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering…
Added 15 mins ago
SH
Founding Product Engineer
Stealth Health Startup
San Francisco, CA
- $140,000 to $210,000 USD / year
As Clara scales, your responsibilities will evolve. You'll have the opportunity to grow into engineering leadership, mentor new hires, shape our design system, and own increasingly complex…
Added 15 mins ago
SH
Founding Data Engineer
Stealth Health Startup
San Francisco, CA
- $145,000 to $215,000 USD / year
Design and maintain data models optimized for AI retrieval and clinical workflows
Added 15 mins ago
CT
AI Native Founding Engineer
Coquina Tech
New York City, NY
- $120,000 to $180,000 USD / year
We’re hiring a Founding AI-Native Engineer to design and implement AI-first business processes on both sides of our marketplace. In the coming quarters, this role will also be responsible…

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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