Jobs in the United States

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Added 1 min 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 1 min ago
Junior Full Stack Engineer
Co-Intelligence Labs
Austin, TX
As a Junior Fullstack Engineer, you'll contribute to our next-generation healthcare recommendation platform while learning from experienced engineers. You'll work across the technology…
Added 1 min ago
Full Stack Engineer
Co-Intelligence Labs
Austin, TX
As a Fullstack Engineer, you'll own the complete technology stack of our next-generation healthcare recommendation platform. You'll build everything from elegant frontends to robust…
Added 1 min ago
CW
Digital Marketing Supervisor
CURICH WEISS AMPLIFY
New York City, NY
- $95,000 to $115,000 USD / year
Identify platform, audience, and cultural insights to inform recommendations and elevate client programs.
Added 1 min ago
DIGITAL MARKETING EXECUTIVE
CURICH WEISS AMPLIFY
New York City, NY
Conduct platform, audience, cultural, and competitive research to inform recommendations and campaign planning.
Added 2 mins ago
DB
Founding Senior Scientist, Chemoproteomics / Surfaceomics
Deliverome Bio
Cambridge, MA
- $130,000 to $160,000 USD / year
…internalization. We’re hiring a founding team to generate the data that could expand what targeted therapies can…
Added 2 mins ago
Founding Computational Scientist, Proteomics
Deliverome Bio
Cambridge, MA
You will build and own the computational side of our proteomics platform: the pipelines, analysis, and data infrastructure that turn raw spectra from surface-enrichment experiments into…
Added 3 mins ago
PAID SOCIAL SPECIALIST
Goodbye Vanilla
MN · Edina, MN
You’re energized by executing paid media tactics, optimizing campaigns, managing budgets, analyzing data, and making real-time recommendations
Added 3 mins ago
Backend Engineering & Security Intern
Intelura
Remote, United States
Help maintain and improve Timmy HR's backend, database, APIs, and security as the platform supports live clients and handles sensitive employee and organizational information.
Added 3 mins ago
MB
Sr. Backend Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
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
Added 4 mins ago
Call for Team Members (Volunteer)
My First Job
United States
…(National Service Personnel) and using National Service jobs as a platform to gain practical experience, refine their abilities, and enhance their employability, ensuring a seamless…
Added 4 mins ago
H
Part-Time Social Media and Content Manager
Helaina
New York, NY
- $20 to $28 USD / hour
- Part-time
Our vision is to build a nutrient platform that powers the future of consumer health by introducing bioactive proteins to the market for the very first time. Our journey was inspired by…
Added 4 mins ago
H
Lead Scientist, Analytics
Helaina
New York City, NY
- $110,000 to $160,000 USD / year
The company's vision is to build a nutrient platform that powers the future of consumer health through bioactive proteins. Our journey was inspired by breast milk - a unique substance that…
Added 4 mins ago
J
Director, Data Engineering
Remote, United States
- $165,000 to $175,000 USD / year
We are seeking an experienced Director of Data Engineering to lead our enterprise data engineering strategy, platform modernization, and operational excellence initiatives. This role will…
Added 4 mins ago
Paralegal
Los Angeles, CA
Manage and support all phases of eDiscovery processes, including electronic data collection, processing, review, and production, while ensuring data integrity and compliance with discovery…
Added 4 mins ago
Engagement Manager
Realize 2050
Remote, United States
Help shape internal IP and toolkits for engagement repeatability and reusable product or platform concepts
Added 5 mins ago
Founding Marketing Lead - Social Media App
Rounder
New York City, NY
Rounder is an early-stage startup, venture-backed social platform for the betting generation. You join your friends on the app and create bets, talk trash, and settle scores, from betting…
Added 5 mins ago
Integration Engineer - Fintech Platform
Sonar Search
Remote, United States
Our client, a fast-growing fintech startup, is seeking an Integration Engineer to build and maintain critical data integrations for their financial analytics platform. Success in this…
Added 5 mins ago
AI Engineer - Fintech Platform
Sonar Search
Remote, United States
…agents and LLM-powered features for their financial automation platform. Success in this position means creating AI systems that transform complex financial data into actionable insights,…
Added 5 mins ago
Principal Agentic AI Security Engineer
HPE
Spring, TX
…help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to…
Added 5 mins ago
WO
Senior Paid Media Manager
Well-Oiled Operations
Remote, United States
- $85,000 to $100,000 USD / year
This is a hands-on role for an experienced media buyer who is just as strong in strategy and data analysis as they are in campaign setup. You are not just pressing buttons. You are…
Added 5 mins ago
SA
CTO (Co-founder)
Straffing AI
New York, NY
- $141,000 to $150,000 USD / year
We are supporting a funded early-stage startup building an AI-powered platform focused on transforming healthcare payment and revenue-cycle operations.
Added 5 mins ago
T
Founding Marketer
Tokenize
San Francisco, CA
- $145,000 to $225,000 USD / year
…strategies, and positioning for our innovative AI usage management platform in a rapidly growing global…
Added 6 mins ago
Junior Software Engineer
Xpert Development
Remote, United States
Collaborate with the team to build and improve features across our platform.
Added 6 mins ago
Software Engineer
Actioneer
Mountain View, CA
At Actioneer, we’re building a voice-first customer engagement platform to help enterprises provide intuitive, consumer-grade experiences for their customers. Our suite is designed for…

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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