Artificial Intelligence Engineer

FORT; New York (NY); Presencial; USD 150.000 - 210.000; Jornada completa

Descripción de la vacante

FORT is hiring an Applied AI Engineer – Conversational Intelligence in New York City. You will own the end-to-end conversational intelligence layer, turning natural-language requests into real-world actions, and ship reliable AI-powered experiences for consumer discovery and booking.

You’ll work on a small, fast-moving team with a focus on accuracy, user outcomes and product quality. Strong TS/Python skills and a track record of shipping AI-driven features are required.

Formación

• 3+ years of experience as a backend or full-stack software engineer.
• Experience shipping consumer-facing products, not only internal tools or B2B software.
• Experience taking LLM-powered ranking, retrieval, search or recommendation systems into production.
• Experience building systems where a model interprets user preferences and surfaces relevant results.

Responsabilidades

• Own the complete agent architecture, including prompt systems, tool calling, multi-step reasoning and streaming.
• Develop Conversational state, memory and preference-recall infrastructure.
• Lead LLM-powered ranking, retrieval and personalised recommendations.
• Ensure multi-turn reliability with refinement loops, error recovery and graceful degradation.
• Build the rendering layer between agent outputs and the consumer-facing product.
• Define model-provider strategy across platforms (OpenAI, Anthropic, Gemini).
• Implement structured outputs, caching, routing and fallback behaviour.
• Create evaluation infrastructure for agent, retrieval and recommendation quality.

Conocimientos

Backend development

Full-stack engineering

Prompting & embeddings

System design

Product judgment

AI-native workflows

Herramientas

TypeScript

Python

Descripción del empleo

Applied AI Engineer – Conversational Intelligence - 5 days a week. xz

The Opportunity

We’re partnering with a well-funded, early-stage consumer AI company building an agentic platform that turns natural-language requests into real-world actions.

This is not a chatbot or experimental AI feature. The product combines conversational intelligence, live inventory and personalised recommendations to help consumers discover and book experiences through a single conversation.

You’ll join a small, exceptionally fast-moving engineering team and take end-to-end ownership of the product’s conversational intelligence layer. Your job is to make the system consistently produce accurate, useful actions—not simply convincing responses.

What You’ll Own

• The complete agent architecture, including prompt systems, tool calling, multi-step reasoning and streaming
• Conversational state, memory and preference-recall infrastructure
• LLM-powered ranking, retrieval and personalised recommendations
• Multi-turn reliability, including refinement loops, error recovery and graceful degradation
• The rendering layer between agent outputs and the consumer-facing product
• Model-provider strategy across platforms such as OpenAI, Anthropic and Gemini
• Structured outputs, caching, routing and fallback behaviour
• Evaluation infrastructure for agent, retrieval and recommendation quality
• Investigation and resolution of real-world production failure modes

What We’re Looking For

• 3+ years of experience as a backend or full-stack software engineer
• Experience building and shipping consumer-facing products—not solely internal tools or B2B software
• Proven experience taking LLM-powered ranking, retrieval, search or recommendation systems into production
• Experience building systems in which a model interprets user preferences and surfaces relevant results
• Broad capability across the applied AI stack, including prompting, embeddings, retrieval, memory and personalisation
• Practical experience defining, running and improving evaluations for ranking or retrieval quality
• The ability to explain specific AI-system failure modes you have diagnosed in production
• Strong product judgement and a focus on user outcomes
• Regular use of AI-native tools and workflows in your own development process

Technology

The primary application stack is TypeScript, although strong Python engineers are also encouraged to apply. Direct experience with every tool is not required; we care more about engineering fundamentals, learning speed and evidence that you can ship reliable AI products.

You’ll Thrive Here If You

• Move quickly without lowering your quality bar
• Enjoy owning ambiguous, technically difficult product problems
• Think across the entire system rather than specialising in one narrow part of the AI stack
• Test ideas by building and putting them in front of users
• Care deeply about reliability, latency and the quality of the final experience
• Have side projects or other evidence of independent, AI-native building

Why Join?

• Own a critical product layer from architecture through production
• Work on a genuinely agentic consumer experience with real-world utility
• Join a small team with unusually high individual ownership
• Build with strong financial backing and meaningful long-term runway
• Work alongside fast, product-minded engineers who ship at exceptional speed
• Receive a highly competitive compensation package and equity

Location

This is a full-time, in-person role in New York City. Candidates must already live in NYC or be willing to relocate.