Manifest Logo

Manifest

Senior Backend Application Engineer - AI

Sorry, this job was removed at 05:09 a.m. (CST) on Tuesday, Mar 10, 2026
Remote
Hiring Remotely in US
Remote
Hiring Remotely in US

Similar Jobs

21 Minutes Ago
Remote or Hybrid
United States
102K-169K Annually
Senior level
102K-169K Annually
Senior level
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Lead development and continuous improvement of EHS safety management systems and DriveSafe program. Oversee driver scorecards, performance analytics, dashboards, and ad hoc reporting. Partner with EHS, operations, IT, and leadership to align systems, ensure data governance, drive projects, implement EHS technologies, train users, support compliance, and use data-driven insights to reduce incidents and improve safety outcomes.
Top Skills: BenchmarkDatabasesGensuite
22 Minutes Ago
Remote or Hybrid
Georgia, USA
67K-101K Annually
Senior level
67K-101K Annually
Senior level
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Lead a billing team for transportation services, ensuring accurate, timely billing and payment processing. Collaborate with IT and Business Process teams to design and support billing solutions, drive continuous process improvements, monitor compliance (SOX, RevRec606), resolve billing issues, and report status to management.
2 Hours Ago
Remote or Hybrid
Virginia, USA
256K-320K Annually
Senior level
256K-320K Annually
Senior level
Edtech • Information Technology • Software
The Senior Federal Account Executive will manage strategic relationships with U.S. Federal Civilian agencies, driving growth through simplified acquisitions and complex pursuits, leveraging technical skills and education solutions.
Top Skills: Cloud ComputingSaaS

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.)

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account