Avoca AI is hiring a Deployment Engineer (India)

The Deployment Engineer will join Avoca's remote team to deploy, integrate, and maintain Avoca’s voice agent products in customer environments. This role requires strong technical expertise, root-cause analysis skills, and clear communication to ensure reliable operation in complex production systems.

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.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• Hands-on experience with Microservices architectures.
• Hands-on experience with APIs.
• Hands-on experience with SQL / NoSQL databases.
• Hands-on experience with Networking and distributed systems.
• Experience diagnosing and debugging production systems and integration environments.
• Strong analytical and problem-solving skills.
• Excellent verbal and written communication.

Preferred Qualifications

• Familiarity with AI/ML systems, Prompt Engineering, particularly LLM-powered applications.
• Experience in customer-facing technical roles.

Technical Stack

Microservices architectures, APIs, SQL, NoSQL databases, Networking, Distributed systems, Large Language Models (LLMs), LLM-powered applications

Benefits

• 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.

Work Arrangement

Remote (Country) — India — Remote work within India, collaborating across US time zones.