Senior Software Engineer, Aircall
Applied AI
$181-220k
+ Equity
AI-powered communications platform
Open for applications
AI-powered communications platform
501-1000 employees
Open for applications
$181-220k
+ Equity
501-1000 employees
Company mission
To empower every professional to have rich conversations, so they can focus on closing deals and delighting customers.
Role
Who you are
- Ideal candidates bring curiosity, a love for solving ambiguous problems, and hands-on experience applying LLMs in production
- 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
- 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, with the ability to explain complex AI concepts to non-technical stakeholders
- Bachelor’s Degree in Computer Science, Engineering, or a related field
What the job involves
- We are looking for a Senior Software Engineer to help build agentic systems that would automate workflows for different internal functional departments at Aircall
- This role combines deep software engineering skills with a desire to understand and automate workflows of stakeholders across Marketing, Sales, Customer Support, Customer Success, Finance, HR, Legal, Engineering, Product and many other functional areas using AI agents
- 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
Our take
Call centres have been a mainstay of sales teams for decades, with the human touch delivering an impression conversion rate of about 30% for inbound calls. However analogue call centres are physical infrastructure-heavy and unable to take advantage of the flexibility afforded by remote and hybrid ways of work. Aircall exists to change that, providing a cloud-based call centre infrastructure that allows sales teams to work from their home offices.
Aircall isn't the only company in this space, and it faces heavy competition from Cloudtalk, another cloud-based call centre solution. However Aircall stands out in the market by its use of open APIs and webhooks, making integration with existing productivity and helpdesk tools much easier, and its superior call quality. Aircall has developed a significant customer base with these strengths, with over 20,000 companies using its platform.
The company has raised significant funding in recent years, highlighting the confidence investors have in their offering. With a rapidly expanding presence in the US, European, UK and Australian markets and the recent addition of AI voice agents to handle business calls 24/7, Aircall is clearly set on innovating at scale.
Steph
Company Specialist at Welcome to the Jungle
Insights
0% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2021
$120m
SERIES D
May 2020
$65m
SERIES C
Total funding: $225.6m
Company HQ
NoMad, New York, NY
Leadership
Scott Chancellor
(CEO)Prior to joining Aircall as CEO in 2023, Scott was CEO of Humu and Chief Product/Technology Officer at Apptio. He also spent 7 years at Amazon Web Services as a Director and General Manager of AWS Insights.
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