Senior Software Engineer - ( AI Chatbot or Agent Developer)

What You'll Do

Overview

We are looking for a AI Software Engineer to help design our agentic systems and integrations. You will be hands-on and technical, contributing to multiple layers of the Agentic SDLC from AI agent development to flow orchestration and observability. This is a fully remote role.

What Your Responsibilities Will Be

Main Responsibilities

AI & Agentic Development

• Develop LLM-based agents to automate and expand engineering workflows.
• Implement secure context management and reasoning mechanisms that allow agents to work with the Avalara ecosystem responsibly.
• Integrate LLM frameworks (OpenAI, Anthropic, Google ADK, LangChain, or CrewAI) with enterprise systems through MCP (Model Context Protocol) connectors.

System Integration & Engineering

• Maintain MCP servers.
• Contribute to the evolution of the Agentic Fabric by improving performance, interoperability, and observability - not exclusively but collaboratively.

Reliability & Observability

• Enhance fault tolerance, telemetry, and logging using OpenTelemetry and structured logging frameworks.
• Support troubleshooting, optimization, and production stability across the Agentic SDLC ecosystem.

Collaboration & Delivery

• Partner with architecture, infrastructure, and AI research teams in the US and India.
• Produce and maintain high-quality technical documentation and architectural diagrams.
• Communicate complex technical concepts in clear English across global teams.

Work Model

• Location: India (Remote)
• Team: Agentic SDLC Engineering (ASE) part of Avalara's Architecture & AI Systems organization
• Reporting To: ASE Team Manager
• Engagement: Full-time employee

What You'll Need to be Successful

Qualifications

Required

• Bachelor's degree in computer science, Engineering, or equivalent.
• 3+ years of software engineering experience with Python as the main programming language.
• Experience in AI system development (LLM apps, agentic frameworks, or orchestration platforms).
• Knowledge of APIs, distributed systems, and cloud-native design (Docker, Kubernetes).
• Hands-on experience with CI/CD (GitLab preferred), OAuth2, and RESTful architectures.
• Experience communicating updates and resolutions to customers and other partners in English.
• Experience with LangChain, CrewAI, or Google ADK.
• Familiarity with MCP or A2A protocols, or similar agent communication models.
• Background in AI observability, including tracing and instrumentation.
• Knowledge of AWS (S3, RDS, Lambda, and ECS).