Ai Engineer Jobs

About The Position

Requirements

• At least 3 years of software engineering experience, focused on backend, data, and/or cloud infrastructure systems.
• Experience with LLM-based applications and/or multi-agent systems, including judgment in model evaluation and experimental iteration to improve product accuracy and behavior.
• Ability to lead in fast-paced startup environments with minimal structure, shifting priorities, and limited resources.
• Collaborative, impact-driven mindset and ability to work across research and engineering teams.
• Experience deploying and maintaining applications on AWS, working with ECS or EKS, Postgres for data storage, and S3 for large-scale object storage.
• Strong familiarity with observability and monitoring tools.

Nice To Haves

• Excellent communication skills and ability to explain complex technical concepts to a range of audiences.
• Strong project management skills, including coordinating internal and external stakeholders, leading recurring meetings, and driving pilots to completion.
• Hands-on experience with infrastructure-as-code tools such as Terraform or deployment systems such as Kubernetes.
• Familiarity with day-to-day SRE workflows and pain points.

Responsibilities

• Lead the design and implementation of scalable, robust backend systems that support AI agents and observability tools.
• Prototype and evaluate prompting strategies, reasoning workflows, and tool-use policies for agents working with large-scale observability data and complex troubleshooting workflows.
• Collaborate with AI researchers, product engineers, and infrastructure teams on cross-cutting upgrades to the core platform and product offerings.
• Provide white-glove deployment support for Traversal’s platform and products in enterprise environments.
• Build long-term customer relationships and proactively identify opportunities for AI deployment throughout the engagement lifecycle.
• Represent and champion Traversal’s mission in the field.
• Use customer deployment learnings to drive large-scale strategic upgrades to the platform, product, and AI, contribute to the engineering roadmap, orchestrate cross-team initiatives, and explore new business opportunities.

Benefits

• Competitive compensation and startup equity.
• Health insurance.
• Additional benefits.
• Tech setup.
• Flexible time off.
• In-office snacks.
• Competitive salary and equity packages.