engineering
Posted 2 weeks agoForward Deployed Engineer
at Bland AI
San Francisco, United StatesOn-site
Python$120,000
Responsibilities
- Build the first version quickly, get it into production, and refine based on real-world feedback. - Collaborate deeply.
- - Track record of ownership and grit — moments where you built something from scratch, solved hard problems, or exceeded expectations.
Requirements
- Forward Deployed Engineer ABOUT BLAND AI We’re a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio.
- Bland.ai http://Bland.ai builds AI voice agents that handle real phone calls for some of the largest companies in the world.
- WHY THIS ROLE EXISTS Every customer is different — the problems they’re solving, the data they have, and the impact they want to create with AI.
- What You’ll Do - Design and deploy AI solutions.
- experience in full-stack, AI, or solutions engineering roles where you owned builds from concept to production. - Proven
- experience building and integrating AI or automation features into real-world applications. - Hands-on
- experience integrating LLMs or AI SDKs into web applications.
- - Strong comfort working with REST/JSON, scripting languages (Python or JavaScript), and modern dev tools (Git, NPM/PNPM).
- - Excellent communication skills — you can explain complex AI concepts clearly to both technical and non-technical audiences.
- experience experimenting with or deploying LLM-powered tools or agents. - Prior startup or founder
- experience — you know what it takes to build without a playbook. - Curiosity about AI agent design, orchestration, and automation systems. -
- Experience working directly with customers to identify pain points and turn them into shipped solutions. - A portfolio of personal or side projects that showcase creativity, technical depth, and persistence. - Exceptional new grads with strong ownership and ambition are welcome to apply.
- WHY YOU'LL LOVE WORKING HERE You’ll be joining one of the fastest-moving AI teams in the world — where speed, creativity, and ownership are the default.
- You’ll ship real agents used by real customers, working directly with teams that are transforming how humans and AI collaborate.
- experience but you’re a fast learner who’s excited for a new challenge – and you have the intangibles our team is looking for – please reach out.
Benefits
- COMPENSATION & PERKS - Salary: $120k – $180k base + meaningful equity + benefits. - Gorgeous office in Jackson Square, San Francisco (rooftop views & great coffee shops nearby).
Contact
- Our software runs inside critical workflows at companies like Samsara, Gallup, TripAdvisor, Snapchat, Signant Health, Better.com http://Better.com, and others.
Additional details
- We’re looking for someone who thrives in that ambiguity, who can take fuzzy goals and transform them into working, production-ready agents that deliver real value.
- You’ll work directly with customers to understand their workflows, build tailored agents, and help shape how Bland is adopted across their organization.
- Work closely with customers to translate their challenges into functional agents, integrating APIs and data sources to automate real business processes. - Prototype fast, iterate faster.
- Partner with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes. - Own end-to-end delivery.
- From discovery call to deployment, you’ll lead the technical build, testing, and iteration — ensuring the
- experience feels natural, human, and on-brand. - Drive adoption and expansion.
- Share results, train teams, and embed yourself within the customer organization to uncover new opportunities for automation and scale. - Be the face of Bland.
- You are the customer’s champion, their best employee, and you treat them with unreasonable hospitality.
- - Thrives in a fast-moving, high-intensity environment — motivated by challenge, curiosity, and the pursuit of great work.
- - Willingness to work in-person frequently (SF HQ and customer sites) to collaborate and accelerate learning.