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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 2 mins ago
Product Manager (Forward-Deployed)
Ume Intelligence, Inc.
Remote, United States
…restaurant brands. We build modern analytics and automation infrastructure, paired with hands-on digital operations that turn operational data into measurable…
Added 2 mins ago
VA
Founding Engineer (Hybrid)
Voxology AI
Austin, TX
- $150,000 to $250,000 USD / year
We’re hiring a Founding Engineer to join us full-time on-site in Austin, TX. You’ll take end-to-end ownership of our technical roadmap, working closely with leadership to design, build, and…
Added 2 mins ago
VA
Founding Engineer
Voxology AI
Austin, TX
- $150,000 to $250,000 USD / year
We’re hiring a Founding Engineer to join us full-time on-site in Austin, TX. You’ll take end-to-end ownership of our technical roadmap, working closely with leadership to design, build, and…
Added 5 mins ago
DN
Founding Senior Software Engineer
Double Nickel
Brooklyn, NY
- $190,000 to $220,000 USD / year
You'll be one of the earliest senior engineers on the team, working directly with the CTO and CEO to define our technical direction. You'll own critical systems end to end, make…
Added 6 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
Added 7 mins ago
Senior/ Staff Software Engineer, Platforms
Sagora
Boston, MA
Establish the technical architecture and the defaults that every project here starts from, and build the shared infrastructure that makes them real.
Added 7 mins ago
AI Systems Engineer
Sagora
Boston, MA
We are hiring an AI Systems Engineer who blends strong systems instincts with enthusiasm for AI. This is not a role for someone who wishes AI would “go away”; we want engineers who lean…
Added 8 mins ago
Principal Agentic AI Security Engineer
HPE
Spring, TX
The Agentic AI Engineer is responsible for designing, building, and operating production-grade agentic systems that combine foundation models, software services, enterprise data, tools, and…
Added 8 mins ago
SA
CTO (Co-founder)
Straffing AI
New York, NY
- $141,000 to $150,000 USD / year
Design scalable, secure, and reliable software systems
Added 8 mins ago
Senior Full-Stack Engineer
Tokenize
San Francisco, CA
An excellent, confident engineer: You know how to build robust systems cleverly and efficiently, and you choose the right technology for the task.
Added 8 mins ago
Senior Generative AI Engineer / Architect
Cinter Career
Plano, TX
…the ability to translate business requirements into practical technical solutions.Design, develop, and implement AI/ML solutions, including generative AI applications, LLM-based systems,…
Added 9 mins ago
Software Engineer
Actioneer
Mountain View, CA
We’re hiring an experienced Software Engineer to join our engineering team. You’ll own features end to end, from prototyping and design to implementation and production. The typical…
Added 11 mins ago
EA
Full Stack Engineer
Ember AI
San Francisco, CA
- $140,000 to $180,000 USD / year
Build internal evaluation infrastructure for AI and LLM healthcare finance applications.
Added 14 mins ago
M
Senior Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
The Quantum Fleet Platform team builds the shared infrastructure that powers Microsoft’s quantum computing efforts. It owns the foundational software, services, and tooling that provision,…
Added 14 mins ago
M
Software Engineer, Teamwork Experiences Internship Opportunities
Microsoft
WA · Redmond, WA · Redmond
- $5,690 to $12,250 USD / month
…researchers, signers, and linguistic experts while going deeper on a technical project aligned with your interests, experience, and the team’s priorities. You may contribute to model…
Added 14 mins ago
M
Senior Software Engineering Manager
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
Technical Oversight: Provide hands-on technical guidance, review designs, code implementation and Pull Requests (PRs), define Application Programming Interfaces (APIs)/data contracts,…
Added 14 mins ago
M
Principal Software Engineer - AI Infrastructure
Microsoft
WA · Redmond, WA · Redmond
- $142,800 to $304,200 USD / year
As a Principal Software Engineer on this team, you will own the architecture and technical direction of major components of the training platform and drive them from ambiguous problem…
Added 15 mins ago
M
Principal Software Engineer
Microsoft
WA · CA · Redmond, WA · Mountain View, CA · Redmond · Mountain View
- $165,600 to $331,200 USD / year
The Agent 365 Foundation team builds the shared infrastructure behind Microsoft's agent platform. Agents across Microsoft 365, Dynamics 365, Power Platform and beyond are deployed, secured,…
Added 15 mins ago
M
Senior Software Engineer
Microsoft
WA · CA · Redmond, WA · Mountain View, CA · Redmond · Mountain View
- $119,800 to $261,000 USD / year
We are looking for a Senior Software Engineer to build the telemetry and observability foundation behind business applications and emerging agent workloads. This is a hands-on software…
Added 39 mins ago
J
Forward Deployed Product Engineer (Client Facing)
Jobgether
Remote, United States
- $180,000 to $220,000 USD / year
…collaboration. You will work directly with health plan and payer technical teams to integrate a healthcare platform into their existing systems and workflows. From discovery and prototyping…
Added 39 mins ago
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Data Engineer 3
Jobgether
Remote, United States
- $95,000 to $120,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer 3 based in the United States.
Added 41 mins ago
Lead Engineer
Pattern AI
Remote, United States
Actively work on creating cloud infrastructure to support scaling up systems, removing manual processes, and increasing the speed of product development
Added 45 mins ago
Senior Forward Deployed Engineer (FDE Lead
ewminds consulting Services
East Pittsburgh, PA
14+ years of software engineering and technical leadership experience, including ownership of production systems and large-scale delivery initiatives.
Added 48 mins ago
IT System Engineer (Desktop Support)
Apexon
Austin, TX
We are seeking a skilled IT System Engineer to support and maintain both virtual and physical infrastructure for our organization. This role encompasses a broad range of IT functions,…

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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