Remote jobs in the United States

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added 14 mins ago
WA
Agentic Full-Stack Engineer
Weekday AI
Remote, United States
- ₹2,000,000 to ₹5,000,000 INR / year
Candidates must reside in or within commuting distance of San Jose, California, or Albuquerque, New Mexico
Added 14 mins ago
WA
Agentic Full-Stack Engineer
Weekday AI
Remote, United States
- ₹2,000,000 to ₹5,000,000 INR / year
Candidates must reside in or within commuting distance of San Jose, California, or Albuquerque, New Mexico
Added 14 mins ago
WA
Agentic Full-Stack Engineer
Weekday AI
Remote, United States
- ₹2,000,000 to ₹5,000,000 INR / year
Candidates must reside in or within commuting distance of San Jose, California, or Albuquerque, New Mexico
Added 14 mins ago
WA
Agentic Full-Stack Engineer
Weekday AI
Remote, United States
- ₹2,000,000 to ₹5,000,000 INR / year
Candidates must reside in or within commuting distance of San Jose, California, or Albuquerque, New Mexico
Added 33 mins ago
Agentic Full-Stack Engineer
Weekday AI
Remote, United States
Candidates must reside in or within commuting distance of San Jose, California, or Albuquerque, New Mexico
Added 5 hours ago
Solutions Engineer
Crogl
Remote, United States
- Working knowledge of at least one scripting or programming language (Python, TypeScript, or Go); you don't need to be a full-stack engineer, but you should be able to roll up your sleeves
Added 7 hours ago
Full Stack Software Engineer
Ever.green
Remote, United States
This role is an excellent opportunity for someone with full stack software engineering experience who is passionate about sustainability and clean energy, and wants to make a huge impact on…
Added 7 hours ago
Software Development Engineer
Mirantis
Remote, United States
…and devops portability, a single pane of glass, and automated full-stack lifecycle management with continuous…
Added 10 hours ago
Senior Software Engineer (AI & Automation)
GD Information Technology, Inc.
Remote, United States
As a Senior Software Engineer (AI & Automation), the work you’ll do at GDIT will be impactful to the mission of the United States Postal Service through the application of agentic AI to the…
Added 10 hours ago
Staff, AI Product Manager (Development Engine)
GlaxoSmithKline LLC
Remote, United States
Partner daily with FDE and full-stack engineering leads to steer engagements end-to-end.
Added 12 hours ago
Senior Full-Stack Product Engineer (Forward-Deployed)
Zipdev
Remote, United States
We are seeking a Senior Full-Stack Product Engineer to join a high-priority, newly funded product engineering team developing an agentic AI platform that processes large-scale datasets for…
Added 12 hours ago
BV
Application Developer (Java, JavaScript) (Full-Stack)
Broadway Ventures
Remote, United States
- $55 to $70 USD / hour
…instrumentation logic that keeps monitoring safe and repeatable. Agentic components may summarize and draft, but they do not make final compliance calls, and your code enforces that…
Added 13 hours ago
G
Designated Technical Support Engineer - West
Glean
Remote, United States
- $143,000 to $170,000 USD / year
…be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to…
Added 13 hours ago
G
Designated Technical Support Engineer - Central/East
Glean
Remote, United States
- $120,000 to $170,000 USD / year
…be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to…
Added 16 hours ago
Full-Stack AI Engineer (Agentic Solutions) | USC/GC | W2 Only.
Xlysi
Remote, United States
Strong full-stack engineering in Python and/or C#/.NET, plus API and integration development.
Added 19 hours ago
J
Agentic-First Software Engineer (Irvine / San Francisco)
Jiffy
Remote, United States
- $195,000 to $265,000 USD / year
Jiffy.com is seeking Agentic-First Software Engineers (Snr/Staff/Principal) with deep hands-on experience orchestrating AI coding agents to ship production software at pace. Reporting…
Added 19 hours ago
J
Agentic-First Software Engineer (Relocate to Miami)
Jiffy
Remote, United States
- $150,000 to $265,000 USD / year
Jiffy.com is seeking Agentic-First Software Engineers (Snr/Staff/Principal) with deep hands-on experience orchestrating AI coding agents to ship production software at pace. Reporting…
Added 19 hours ago
J
Agentic-First Software Engineer (Irvine / San Francisco)
Jiffy
Remote, United States
- $195,000 to $265,000 USD / year
Jiffy.com is seeking Agentic-First Software Engineers (Snr/Staff/Principal) with deep hands-on experience orchestrating AI coding agents to ship production software at pace. Reporting…
Added 19 hours ago
J
Agentic-First Software Engineer (Miami)
Jiffy
Remote, United States
- $150,000 to $265,000 USD / year
Jiffy.com is seeking Agentic-First Software Engineers (Snr/Staff/Principal) with deep hands-on experience orchestrating AI coding agents to ship production software at pace. Reporting…
Added 19 hours ago
J
Agentic-First Software Engineer (Relocate to Miami)
Jiffy
Remote, United States
- $150,000 to $265,000 USD / year
Jiffy.com is seeking Agentic-First Software Engineers (Snr/Staff/Principal) with deep hands-on experience orchestrating AI coding agents to ship production software at pace. Reporting…
Added 23 hours ago
SI
Principal Platform Solution Engineer
Salesforce, Inc.
Remote, United States
- $173,460 to $255,150 USD / year
…and strategic insight to help customers securely harness the full power of the Salesforce Platform. You’ll work closely with stakeholders to design secure, scalable solutions and play a…
Added 1 day ago
D
Staff AI Product Engineer | REMOTE
Distru
Remote, United States
- $200,000 to $300,000 USD / year
You’ll be working directly on the AI system from the ground up and make strong, opinionated calls on the agentic stack and where it goes next. The AI space moves fast and the specifics will…
Added 1 day ago
S
Field Engineer, Life Sciences
SpaceXAI
Remote, United States
- $164,500 to $224,000 USD / year
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models,…
Added 1 day ago
Go-to-Market Engineer
GOARC
Remote, United States
This is a high-visibility, high-ownership founding role. You will own the full go-to-market tech stack. You will work side by side with the CEO and head of sales. You will turn go-to-market…
Added 1 day ago
Staff Software Engineer, Job Seeker Apps
ZipRecruiter
Remote, United States
End-to-End Systems Engineering: Operate across multiple problem spaces - from data engineering to backend infrastructure and full-stack integration.

Memory Bridge

Sr. Backend Engineer

Remote, United States

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

Apply on app.dover.com About employer

Applications open in a new tab.

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.

Apply on app.dover.com About employer

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

Report this job

Work requirements

Remote jobs in the United States