Opencall.ai

| AI Prompt & Agent Developer Location: On-site (San Francisco or New York) About Opencall At Opencall, we’re building AI call centers for non-technical businesses. We’re solving a unique challenge: pushing the limits of AI at millisecond performance to have the best human-like customer service experience at enterprise scale. Our AI is faster, cheaper, more powerful, and more reliable than anything else on the market. We’re looking for versatile engineers to help scale our proprietary system from millions of calls to billions of calls annually. We’re looking for an AI Prompt & Agent Developer to help us design, test, and scale next-generation AI agents that deliver measurable impact for our customers. You’ll work at the intersection of LLMs, software engineering, and customer operations, building systems that directly shape how companies interact with their customers. Responsibilities Prompt Engineering & QA: Design, build, and refine prompts for real-world agent tasks (Q&A, classification, lead qualification, appointment booking, knowledge lookup). Develop robust evaluation pipelines to measure accuracy, reliability, compliance, and business outcomes of AI prompts at scale. AI Agent Development: Architect and implement multi-step AI agents that integrate with telephony (Twilio, SIP), CRMs, and customer systems. Ensure agents are reliable, scalable, and cost-optimized in high-volume environments. Testing & Continuous Improvement: Lead QA workflows for AI agents, simulating real-world customer scenarios and measuring outcomes. Monitor production agent performance and iterate rapidly to improve. Cross-Functional Collaboration: Work closely with product, ops, and engineering to design features driven by business needs. Partner with sales and customer success teams to translate client requirements into effective agent behavior. Requirements 2+ years of experience with AI/ML, NLP, or prompt engineering. Demonstrated experience building and deploying AI prompts and/or agents in production. Strong analytical and problem-solving mindset; comfort with ambiguity. Excellent written and verbal communication skills. Bachelor’s degree in Computer Science, Engineering, Math, or related field. Preferred Qualifications Strong programming skills in Python (experience with APIs, data pipelines, testing frameworks). Hands-on experience with multiple LLMs (GPT, Claude, LLaMA, Gemini, Mistral, or fine-tuned models). Familiarity with telephony platforms (e.g., Twilio) or conversational AI systems. Prior exposure to contact center, SaaS, or customer-facing technology. Master’s or PhD in a technical discipline is a plus. FAQ What motivates us? We hate bad customer service and the “press 1, press 2” headache. Let’s get end customers what they want without the suffering. Company outlook? We have more customers than we can handle. That’s why we need you! Can I work from anywhere? We prefer candidates in San Francisco or New York, but are open to exceptional remote applicants.

| Location: San Francisco/New York Type: Full-time Overview At Opencall, we’re building AI call centers for non-technical businesses. We’re solving a unique challenge: pushing the limits of AI at millisecond performance to have the best human-like customer service experience at enterprise scale. Our AI is faster, cheaper, more powerful, and more reliable than anything else on the market. We’re looking for versatile engineers to help scale our proprietary system from millions of calls to billions of calls annually. Role: Senior Software Engineer As a Senior Software Engineer at Opencall, you'll be a cornerstone in building our technological foundation. The ideal candidate can draw insight from every part of the business to prioritize effectively in a fast-paced environment. Deep understanding and empathy for our users is critical to success in this space. Key Responsibilities Architecture & Development: Develop systems for high volume traffic and data processing Design with performance in mind. Our customers need unusually low latency and cost Data Engineering: Design and build robust data pipelines to collect, preprocess, and analyze large datasets from diverse sources Oversee the development of our analytics platform Cloud Infrastructure: Scale our existing containerized infrastructure (Docker, Kubernetes) to >100x our current traffic Explore and integrate advanced cloud services and architectures to enhance our infrastructure capabilities Product/Frontend development Work closely with customers to prioritize feature development Implement features quickly in a modern frontend stack Leadership We’re looking for someone who can start as an individual contributor, but transition into growing and running an organization. Hiring, delegation, and mentorship will be part of the role Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Experience: 6+ years in software engineering, focusing on infrastructure Technical Skills: Proficiency in Python and Typescript. Experience with cloud platforms (e.g., AWS, GCP, Azure). Strong knowledge of data structures, algorithms, and software design principles. Expertise in scalable infrastructure, microservices architecture, containerization (Docker, Kubernetes), and distributed systems. Passion for maintainable code and idiot-proof systems High-Energy: Passionate about what you do and eager to innovate. Ambition: A desire to create groundbreaking solutions and push the boundaries of technology. FAQ What motivates us? We hate bad customer service and the press 1, press 2 headache. Let’s get end customers what they want without the suffering. Customers? More than we can handle, so help us deliver! Can I work from anywhere? We prefer candidates in San Francisco or New York, but are open to exceptional remote applicants.