Easy Apply
Easy Apply
Design and implement AI-native backend infrastructure, build high-throughput systems for machine learning, and collaborate across teams to enhance AI applications.
Manifest is seeking an experienced Senior Backend Engineer - AI with a passion for building high-performance, intelligent systems that power modern AI-driven platforms. In this role, you’ll lead the design and scaling of backend services and data pipelines to support advanced analytics, machine learning workflows, and intelligent automation across the platform. You’ll work in a fast-paced, data-intensive environment where your contributions will have immediate and significant impact.
The impact you will have:
- Architect and implement AI-native backend infrastructure, including scalable data pipelines and intelligent services
- Partner with AI/ML teams to bring machine learning models and LLMs into production at scale
- Design resilient, high-throughput systems that enable intelligent workflows and automated decision-making
- Influence product direction and system design with a strong backend perspective on AI capabilities
- Contribute to a culture of innovation, performance, and reliability across the engineering team
As a Senior Backend Engineer - AI, you will:
- Build infrastructure that powers real-time AI applications and intelligent APIs
- Develop high-throughput systems that support AI/ML workloads and model inference pipelines
- Collaborate with cross-functional teams (ML engineers, product, business development) to bring intelligent features to production
- Design modular, scalable architectures that support AI system evolution over time
- Contribute to performance monitoring, testing, and reliability best practices in AI systems
- Help maintain a culture of engineering excellence, mentorship, and technical ownership
What it is essential that you will bring to the team:
- 8+ years of backend software engineering experience, preferably with AI/ML or data-intensive systems
- Proven success scaling distributed systems that support large-scale inference, data processing, or intelligent services
- Deep understanding of data pipelines, API design, and backend architecture for AI applications
- Experience collaborating with machine learning or data science teams to productize models
- Ability to learn new technologies quickly, with a focus on building systems that enable AI innovation
- Strong communication and cross-team collaboration skills
Bonus but not required:
- Experience deploying or scaling LLMs, fine-tuning models, or integrating generative AI into products
- Awareness of modern tooling and platforms supporting AI/ML (e.g., LangChain, Hugging Face, Ray, etc.)
- Experience with Typescript, Python, and Go
- Experience with SQL and NoSQL databases
The benefits of working at Manifest include:
- 🔍 Help organizations get new-found visibility into their software, and be more secure!
- 🌎 Fully remote work (with potential for hybrid co-working)
- 🌴 Unlimited PTO (which we take seriously)
- 🏥 Medical/dental/vision insurance coverage for you and your dependents paid at 100%!
- 💵 Competitive salary & meaningful stock options
- 🏦 401(k) and retirement options
- ⚒️ Help get in at the ground floor of a well-funded, early stage startup!
- 🦄 Additional benefits to come (retirement, holiday gifts, etc.)
Top Skills
Go
NoSQL
Python
SQL
Typescript
Similar Jobs
Automotive • Edtech • Kids + Family • Mobile • Social Impact • Transportation
The Strategic Account Executive at HopSkipDrive will drive revenue growth by establishing relationships, negotiating B2B contracts, and collaborating with internal teams to address client needs. In-person engagement and prospecting are key responsibilities, alongside delivering tailored presentations and proposals.
HR Tech • Information Technology • Professional Services • Sales • Software
As a GTM Business Analyst, you will bridge business needs and technology, analyzing processes, gathering requirements, and developing strategies to improve operational efficiency and support business growth.
Top Skills:
ExcelSalesforceSnowflakeSQLTableau
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
The role involves handling inbound sales calls, influencing customer decisions on EchoStar products, and maintaining strong customer relationships.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute



