Hybrid Senior Software Engineer, Applied AI

at Aircall

• Job title: Senior Software Engineer, Applied AI
• Job type: Full Time
• Experience level: Senior
• Salary: $181,000 - $220,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, Go
• Location requirements: Hybrid, Seattle, United States

About the role

• Senior Software Engineer building agentic systems for workflow automation in customer communication platform. Collaborating across departments to understand and automate workflows using AI agents.

Responsibilities

• Partner with internal stakeholders to understand their daily workflows to surface and document those that can be automated with AI.
• Build autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs to complete complex content operations.
• Learn and contribute to prompt engineering strategies, with guidance on building agentic workflows, memory systems, and multi-step reasoning.
• Build and operate MCP Servers that can be called by AI Agents.
• Design and build proprietary agent libraries, prompting strategies and benchmarking frameworks.
• Build and operationalize AI solutions with retrieval techniques (e.g., RAG, vector DBs) for context-aware applications.
• Prototype, test, and optimize AI-powered applications, including retrieval-augmented generation, workflow automation, and agentic experiences.
• Collaborate with cross-functional teams to align AI features with user needs and business goals, gaining exposure to product and platform thinking.
• Stay current on advancements in AI technologies, frameworks, and best practices, and evangelize AI capabilities internally and externally.
• Provide technical support, documentation, and training to facilitate adoption and effective use of AI solutions.
• Participate in technical discussions, architecture reviews, and sprint planning.
• Contribute to knowledge sharing and technical documentation.

Requirements

• 6+ years of software engineering experience, with at least 2 years working directly on AI/ML-powered applications.
• Strong fluency in AI tooling (e.g. OpenAI APIs, Anthropic APIs).
• Strong proficiency with modern backend languages (Python, Go, or similar)
• Practical understanding of LLMs, prompt engineering and agentic architectures.
• High degree of ownership and comfort in experimental, fast-moving environments.
• Ability to take complete ownership of AI solutioning end-to-end starting from gathering requirements from stakeholders to deploying solutions in production.

Benefits

• Medical, dental, and vision insurance is 100% covered
• 401k plan with company matching!
• Unlimited PTO — take the time you need to come to work feeling great!
• Wellness, internet, and childcare reimbursements
• Generous parental leave policy