Jobs in the United States

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Added 25 mins ago
Senior / Staff Software Engineer
Axella
Boston, MA
AI systems and agents. You’ll build and deploy agentic systems based on frontier models (Claude, Open AI) for real manufacturing workflows, design tool-augmented agents using MCP and…
Added 27 mins ago
CV
AI Software Engineer
Cosmic Ventures
Remote, United States
- $30 to $50 USD / hour
At Cosmic Ventures, we don't just "consult." We build and deploy high-stakes agentic systems for Fortune 500 leaders across healthcare, finance, and e-commerce. We move at the speed of the…
Added 30 mins ago
Founding Engineer
Marlow
New York City, NY
Marlow is building the agentic operating system for nursing homes - a system that can handle all of the administrative and back-office work so staff can fully focus on care. Today, Marlow…
Added 33 mins ago
Head of Forward Deployed Engineering
Newcode.ai
Chicago, IL
Client delivery takes place in pods comprising a senior legal engineer, a forward-deployed engineer, and an account manager focused on retention and expansion. The senior legal engineer…
Added 33 mins ago
Z
Software Quality Engineer
ZipLiens
Franklin, TN
- $77,000 to $104,000 USD / year
…funds more quickly and accurately. We are looking for a quality engineer who is passionate about building the testing and evaluation that keeps complex, data-heavy products working…
Added 33 mins ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Chicago, IL
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 33 mins ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Peoria, IL
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 33 mins ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Irving, TX
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 33 mins ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Broomfield, CO
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 35 mins ago
RH
Founding Engineer (AI / Full Stack)
Rovi Health
New York City, NY
- $150,000 to $220,000 USD / year
Experience building automation or agentic systems in production
Added 37 mins ago
Senior Data Engineer
Leopard (NYC)
New York, NY
…distributed, and experienced. We are seeking a full-time Senior Data Engineer who is excited to help us build the next-generation, AI-native life insurance platform - from the capabilities…
Added 39 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 39 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 41 mins ago
Machine Learning Engineer - Agentic solutions that move the music industry
Discovery
Remote, United States
We’re looking for a Machine Learning Engineer to help us weaponize messy rights data into structured, actionable intelligence. You’ll work directly with the founding team to build real-time…
Added 41 mins ago
Founding AI Engineer
Daylight Infrastructure
San Francisco, CA
…infrastructure development and software. We’re hiring a founding AI engineer to build the core intelligence layer of our…
Added 45 mins ago
Senior Principal Software Engineer (Python) – Founding Engineer - Seattle
Solvin AI
WA · Seattle, WA
As a Founding Engineer, you will be a cornerstone of our technical team. You will have a pivotal role in designing, building, and deploying the foundational elements of our product. We're…
Added 46 mins ago
TH
Founding Engineer
Tally HQ
San Francisco, CA
- $150,000 to $200,000 USD / year
As Founding Full-stack Engineer at Tally, you’ll play a crucial role in building the initial product experience and APIs, agentic systems, and internal tools to transform a massive tax and…
Added 47 mins ago
AI Engineer
The Agency Fund
Remote, United States
…better data use. We are now looking for a seasoned software engineer to join our team (as a contract role), contributing expertise while building with our partner…
Added 48 mins ago
Founding Engineer, Agentic Systems
Champ AI
San Francisco, CA
We're looking for a Founding Engineer (Agentic Systems) to own core pieces of our agent runtime and developer/product surface area. You'll build the systems that let agents operate safely,…
Added 49 mins ago
Senior/Staff/Principal Software Engineer
Ease Health
New York City, NY
Senior/Staff/Principal Software Engineer - Ease Health
Added 49 mins ago
Frontend Software Engineer
Ease Health
New York City, NY
The behavioral health market is massive ($141B), fragmented, and desperately needs modern technology. We're building an agentic EHR in a greenfield market, starting with proven assets and…
Added 49 mins ago
DN
Founding Senior Software Engineer
Double Nickel
Brooklyn, NY
- $190,000 to $220,000 USD / year
…jobs, we're using it to connect real people to real ones. Our agentic recruiting software helps fleets hire faster and smarter so drivers actually get on the…
Added 49 mins ago
DN
Founding Engineer
Double Nickel
Brooklyn, NY
- $160,000 to $200,000 USD / year
…jobs, we're using it to connect real people to real ones. Our agentic recruiting software helps fleets hire faster and smarter so drivers actually get on the…
Added 51 mins ago
MB
Sr. ML Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
This is a rare opportunity to join our team as the founding ML engineer, where your code will directly shape how AI systems remember and learn. If you’re a strong programmer who has evolved…
Added 51 mins ago
MB
Sr. Backend Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
Collaborate closely with the ML engineer on the hybrid retrieval system, providing backend support for vector search, keyword search, and graph queries

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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