Senior AI Engineer

Quick Facts

• Role: Senior AI Engineer (agentic workflows, AI-powered enterprise applications)

Description

Design and build agentic workflows and AI-powered applications for enterprise software products. You will integrate LLM-based agents across the development lifecycle, coordinating tools, services, data, and human approvals. Establish standards for agent evaluation, observability, reliability, security, and governance, and help move prototypes into production systems.

Responsibilities

• Design and build agentic workflows that coordinate tools, services, data, and human approvals.

• Develop reusable patterns for agent orchestration, tool use, context management, memory, and multi-agent collaboration.

• Use agentic coding tools across planning, implementation, testing, debugging, refactoring, code review, and documentation.

• Integrate agents into software development, testing, deployment, support, and operational workflows.

• Establish standards for agent evaluation, observability, reliability, security, and governance.

• Prototype new agentic capabilities and productionize successful experiments.

• Build complete, usable products—not just demos or isolated model integrations.

• Improve engineering productivity and product delivery through agentic development.

• Mentor engineers and help shape an agentic-first technical strategy.

• Collaborate with product and engineering leaders to connect capabilities to meaningful outcomes.

Requirements

• 5+ years of software development experience in a software product development environment.

• Strong proficiency with Java and Spring Boot.

• Strong proficiency with JavaScript and React.

• Strong proficiency with relational databases.

• Hands-on experience building AI agents, tool-using LLM applications, or orchestrated workflows.

• Experience with multi-agent systems, RAG, vector search, agent evaluation, or human-in-the-loop workflows.

• Experience using agents to support coding, code review, testing, release management, or incident response.

• Senior-level experience building and operating production software systems.

• Experience with TypeScript and Python.

• Experience with RESTful APIs.

• Hands-on experience with AWS infrastructure.

• Experience with APIs, workflow engines, event-driven architectures, integrations, or distributed systems.

• Strong understanding of testing, observability, security, permissions, and failure recovery.

• Ability to turn ambiguous opportunities into practical, reliable technical solutions.

• Strong communication skills and ability to influence engineering practices across a team.

• Ability to use AI coding agents as productive engineering collaborators across an application codebase.

• Ability to provide agents clear context, constraints, architecture, acceptance criteria, and technical direction.

• Strong judgment in reviewing, testing, securing, and improving agent-generated code.

• Ability to decompose complex application work into agent-ready tasks while maintaining architectural consistency and product intent.

• Experience creating workflows where agents reason, select tools, call APIs, manage state, recover from failures, and escalate to people when appropriate.

• Ability to design agentic applications around real user needs, including permissions, audit trails, and meaningful error handling.

• Ability to move from prototype to production by addressing performance, scalability, security, monitoring, evaluation, cost, and ongoing maintenance.

• Product mindset and ability to deliver complete solutions.

• Upper-intermediate English level.

Benefits

• Professional growth with mentorship, TechTalks, and personalized growth roadmaps.

• Competitive USD-based compensation and budgets for education, fitness, and team activities.

• Flexible schedule with remote and office options.

• Opportunity to work on exciting projects with Fortune 500 enterprises and leading product brands.