Software Development Engineer, AI Assistant Team

Amadeus • New York, NY

1d • Hybrid

About The Position

We build the production systems that connect AI Assistants to Amadeus’ travel capabilities. By joining our AI Assistant team, you’ll be part of an end-to-end product incubation team focused on designing, validating, and scaling AI-native solutions for how travelers plan, book, and service trips through emerging AI interfaces. The AI Delivery Hub is a key engine in Amadeus’ transformation toward an AI-first organization. It brings together focused, multidisciplinary teams to design, build, and deliver AI product solutions end-to-end. Working closely with product and platform teams across different business lines, the Hub accelerates delivery and scales AI across Amadeus’ portfolio by turning proven work into reusable capabilities and real product outcomes. As a Software Engineer in the AI Assistant team, you build and operate the services, APIs, and integration layers that enable AI Assistants to deliver end-to-end travel experiences. You work in a spec-driven, AI-augmented engineering workflow: you write clear specifications, work alongside AI coding agents to generate implementations, and apply rigorous review and testing to ship systems that are production-ready, secure, and performant. You collaborate closely with architects on system design and technical direction, and with product and design on experience requirements. You deliver quickly through a disciplined, traceable workflow.

Requirements

• 4+ years of software engineering experience, with strong fundamentals in system design, API development, and production operations.
• Proficiency in Python and at least one additional backend language (Java, Go, TypeScript, or similar).
• Experience with AI-augmented development tools (AI code assistants, agentic coding tools, spec-driven workflows), or a strong appetite and aptitude to adopt them as a primary working method.
• Solid understanding of modern CI/CD practices, containerization, and cloud-native architectures.
• Experience building and operating APIs and microservices in production at scale.
• Comfort with ambiguity and iterative delivery, this is an end-to-end incubation team where the landscape evolves rapidly.
• Strong code review skills and attention to quality, security, and maintainability, especially important when reviewing AI-generated output.
• Collaborative mindset: able to work closely with product, design, ML engineers, and cross-business platform teams.
• Writes specifications precise enough that implementations succeed on the first pass, treats specification quality as a core engineering skill.
• Reviews AI-generated code with the same rigour as human-written code; catches subtle domain errors, security issues, and architectural drift.
• Thinks in systems: understands how services connect, where latency lives, how failures cascade, and brings the right questions to architects early.
• Moves through an AI-augmented workflow with judgement intact, knows when to trust AI output and when to intervene.
• Maintains clear traceability between specifications and the code that implements them.
• Communicates clearly with architects, product, and cross-functional stakeholders.
• Translates technical constraints into business language.

Nice To Haves

• Experience with AI Assistant platform integration patterns (plugins, skills, function calling, MCP, conversational APIs).
• Familiarity with spec-driven or intent-driven development methodologies.
• Background in travel, marketplace, or multi-sided platform domains.
• Experience with policy-as-code, automated compliance, or DevSecOps practices.
• Familiarity with LLM application patterns (RAG, orchestration, function calling), enough to build integrations, even if not the ML systems themselves.
• Experience in innovation labs, end-to-end delivery teams, or incubation environments taking products from early concept to production.

Responsibilities

• Write clear, well-scoped specifications that lead to high-quality implementations, by AI coding agents and by humans alike.
• Review and steer AI-generated specifications, code, and tests with rigour, ensuring domain correctness, security, and performance.
• Decompose work into small, well-scoped units that can be reasoned about completely, end-to-end.
• Build and maintain the production-ready services, APIs, and integration layers that connect AI Assistant platforms to Amadeus travel content, availability, booking, and payment capabilities.
• Collaborate with architects on system design, technical direction, and architectural decisions, ensuring implementations stay aligned with the broader system vision.
• Instrument systems for observability, telemetry, and continuous validation. Quality is measured incrementally, not batch-checked at the end.
• Work within the delivery pipeline: golden paths, automated compliance controls, and policy-as-code guardrails, not manual gates.
• Partner with product and design to translate travel experience requirements into feasible technical designs.
• Collaborate with Amadeus platform teams (Universal Distribution, Hospitality, Payments) to integrate the content and APIs that power the travel experience, and help turn proven work into reusable capabilities where it makes sense.
• Continuously improve the practices, prompts, and patterns the team uses to get reliable, high-quality output from AI tools.

Benefits

• competitive remuneration
• individual and company annual bonus
• vacation and holiday paid time off
• health insurances
• other competitive benefits
• Professional development to broaden your knowledge and enhance your skills with on-line learning hubs packed with technical and soft skills training that allow you to develop and grow.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed