Deployment Engineer (India)

About Avoca Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, including booking jobs, qualifying leads, and driving higher revenue—all at a speed and consistency unmatched by human call centers. We’ve expanded to 100 employees in under two years, backed by a high-energy, in-office culture across our NYC headquarters and Santa Barbara office. In a $500B+ market where missed calls mean lost business, we’re building the category-defining platform for AI-driven customer engagement. We’re serving the largest brands in home services, and grew 10x in 2025. With a high-performance, in-office team in NYC, we’re moving fast to capture a massive, underserved market where 85% of missed calls go to competitors. Every hire here has an immediate and visible impact. Role Overview We are seeking a highly skilled and motivated Deployment Engineer (DE) to join our remote team. DEs are highly technical self-starters who take ownership of deployments, integrations, and operational support of Avoca’s voice agent products in customer environments. This role requires deep technical expertise, strong root-cause diagnosis skills, and exceptional communication to ensure our solutions operate reliably in complex production environments. Key Responsibilities Deploy, integrate, and maintain Avoca voice agent products in complex customer infrastructures. Diagnose production issues and perform deep root-cause analysis across distributed systems, APIs, and LLM-powered workflows. Analyze and resolve complex technical scenarios involving Large Language Models (LLMs), system architecture, and scalability challenges . Collaborate with cross-functional teams and customers to understand requirements and deliver tailored technical solutions. Monitor and optimize product performance in production environments leveraging LLMs and distributed systems . Communicate complex technical issues clearly to both technical and non-technical stakeholders . Document solutions, best practices, and troubleshooting processes to improve team knowledge and operational efficiency. Take initiative to improve deployment tooling, reliability, and system observability. Core Competencies Troubleshooting & Root Cause Analysis Systematically diagnose and resolve complex technical problems. Perform structured debugging across infrastructure, APIs, networking, and application layers. Communication Clearly explain technical concepts and tradeoffs to diverse audiences including customers. Fundamental Knowledge Strong foundation in computer science, system architecture, networking, databases, and distributed systems . Ability to reason from first principles . Domain Knowledge Understanding of Large Language Models (LLMs) , their limitations, and operational considerations. Decision Making Make fast, effective decisions that balance technical solutions with business impact. Ownership & Self-Starter Mentality Proactively take ownership of problems, deployments, and improvements. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field , or equivalent practical experience. Hands‑on experience with: Microservices architectures APIs SQL / NoSQL databases Networking and distributed systems Experience diagnosing and debugging production systems and integration environments . Familiarity with AI/ML systems, Prompt Engineering, particularly LLM-powered applications , is highly desirable. Strong analytical and problem‑solving skills . Excellent verbal and written communication . Experience in customer‑facing technical roles is a plus. Why Join Avoca Work remotely while collaborating with a high‑performing team across US time zones . Join a fast‑moving startup environment where engineers have real ownership and impact. Contribute to cutting‑edge voice agent technology transforming service industries. Solve challenging real‑world AI deployment problems at scale. Continuous learning and growth in a high‑velocity, innovation‑driven culture . #J-18808-Ljbffr Avoca