Applied AI Software Engineer

Responsibilities

• Design and develop AI applications, such as agents based on large language models (LLMs).
• Lead teams, oversee end-to-end solutions, and advise clients.
• Provide technical support to teams and share best practices.
• Collaborate closely with different teams across Tomoro.
• Build trusted relationships with business decision-makers and technical leaders.
• Ensure the reliability, performance, and security of AI solutions through testing and quality assurance best practices.
• Contribute to the responsible development of AI by addressing privacy, security, and transparency concerns.
• Support clients in adopting AI solutions through training and ongoing support.

Requirements

• Proven experience delivering AI solutions in production.
• Design of microservices (including data pipelines using frameworks like Spark).
• Data technologies (Python, SQL).
• Experience with LLMs and fine-tuning (open-source models and OpenAI APIs).
• Software solution design, mainly focused on data-driven applications using Python, SQL, and related technologies.
• Ability to solve complex problems and perform technical analysis.
• Comfortable with client-facing interactions.
• Autonomous and able to thrive in a dynamic environment.
• Passionate and positive.
• Curious and creative.
• Strong sense of responsibility and ethics.

ATS Keywords

Hard Skills: AI applications; large language models; microservices; data pipelines; Python; SQL; LLMs; fine-tuning; software solution design; data-driven applications.

Soft Skills: leadership; problem-solving; client-facing interactions; autonomous; dynamic environment; responsibility; ethics; curiosity; creativity; positive attitude.