Deployment Engineer (India)

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.
• 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.
• 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.