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
Social Impact • Software
The Senior Account Executive for Enterprise AI will manage client relationships, drive revenue growth, and align Gloo's AI solutions with enterprise needs while collaborating with internal teams.
Top Skills:
AICrm SoftwareHubspotSaaSSalesforce
Artificial Intelligence • Cloud • Hardware • Machine Learning • Software • Infrastructure as a Service (IaaS)
Oversee data center deployment projects, manage resources, risks, and budgets, ensure quality, communicate with stakeholders, and travel to project sites as needed.
Top Skills:
AshraeNvidia GpusProject Management ToolsTia-942Uptime Institute Guidelines
eCommerce • Food • Pet
The Veterinary Medical Affairs Manager will enhance TFD's interactions with veterinarians, support customer needs, and generate insights for improved veterinary relationships. They will provide education to customer experience teams and lead engagement initiatives while collaborating across teams to deliver impactful solutions.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center



