Skip to main content

Bland

Agent Solutions Engineer

San Francisco$120k–$200kfulltimemidAdded 3 weeks ago

About this role

Bland AI seeks a Forward Deployed Engineer to design and deploy custom AI voice agents for enterprise customers. You'll work directly with clients to understand their workflows, build production-ready solutions, and drive adoption—combining technical depth with strong customer relationships and on-site support.

What you'll do

  • Design and deploy AI agents tailored to customer workflows, integrating APIs and data sources
  • Own end-to-end delivery from discovery through production deployment and iteration
  • Prototype rapidly and refine solutions based on real-world customer feedback
  • Collaborate with customer engineering, product, and operations teams to ensure performance and scale
  • Drive adoption by training teams, sharing results, and identifying expansion opportunities
  • Build customer relationships through on-site visits, training sessions, and stakeholder engagement

What they're looking for

  • Full-stack or solutions engineering (3–10 years)
  • AI/LLM integration and SDK implementation
  • Python or JavaScript scripting
  • REST APIs and JSON data handling
  • Git and modern development tools (NPM/PNPM)
  • Technical communication to mixed audiences
  • Problem-solving and ownership mindset
  • Customer discovery and requirements translation

Benefits

  • Work on cutting-edge AI voice agents for industry-leading companies
  • Fast-paced startup environment with high ownership and learning opportunities
  • Opportunity to see your work deployed and solving real customer problems
  • Direct collaboration with customers and leadership at a well-funded Series B company
  • Flexibility for strong performers without traditional background experience
Apply on the employer's site

Opens the official application on the employer’s site. No login required.

Bland

Bland builds AI voice agents for enterprise customers, handling millions of daily calls through custom deployments and proprietary audio and language technologies. The company is hiring Forward Deployed Engineers to work directly with clients on production solutions, and ML researchers to advance multimodal LLMs and audio technologies for real-time conversational AI.

View all jobs at Bland

Likely interview questions

  • Tell us about a time you took a fuzzy, undefined problem from a customer and shipped a production solution end-to-end. How did you handle ambiguity and iterate based on feedback?
  • Describe your experience integrating LLMs or AI SDKs into applications. What was challenging, and how did you solve it?
Unlock all 7 questions free — and practice them live →