24/7 AI agents for service-based businesses that close sales across phone calls, texts, webchats, and lead aggregators
Deployment Engineer
Location
India
Posted
83 days ago
Salary
$50K - $100K / year
Seniority
Senior
Job Description
Deployment Engineer
Avoca
• 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.
Job Requirements
- 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
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
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