Senior Software Engineer, Applied AI

Job Description

Senior Software Engineer, Applied AI

Company: Aircall

Location: Seattle, WA

Type: On-site, Remote, Full-time

Salary: $139.40K - $183.80K/yr (Estimated pay)

Machine Learning & Artificial Intelligence

Posted: 16 hours ago

Job Description

Aircall is looking for a Senior Software Engineer to help build agentic systems that would automate workflows for different internal functional departments. This role combines deep software engineering skills with a desire 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.
• Learn and contribute to prompt engineering strategies.
• 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.
• Collaborate with cross-functional teams to align AI features with user needs and business goals.
• Stay current on advancements in AI technologies, frameworks, and best practices.
• Provide technical support, documentation, and training.
• Participate in technical discussions, architecture reviews, and sprint planning.
• Contribute to knowledge sharing and technical documentation.

Minimum 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.

Desirable Attributes

• Exposure to customer-facing roles or user research for AI product development.
• Familiarity with retrieval techniques (e.g., vector databases, RAG).
• Excellent problem-solving, communication, and teamwork skills.
• Bachelor’s Degree in Computer Science, Engineering, or a related field.

The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.

Machine Learning & Artificial Intelligence