Production AI Engineer — Enterprise Systems (Hybrid)

DISTYL; New York (NY); Ibrido; USD 180.000 - 250.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Flexible time off

Healthcare benefits

Lunches and snacks

Hybrid NYC office

Descrizione del lavoro

Distyl AI seeks AI Engineers to design, implement, deploy, and iterate on end-to-end AI systems within customer environments. You will translate operational needs into concrete system behavior, build Python services, and work closely with SMEs and Distyl engineers to deliver robust production solutions.

The role emphasizes ownership of outcomes, hands-on building with LLMs, and a pragmatic, customer-focused mindset. This is a hybrid role with a New York office commitment.

Competenze

• 5+ years of software engineering experience.
• Fluent in French (Written and Spoken) with the ability to lead technical discussions and collaborate directly with French-speaking clients.
• Ownership mentality for AI systems. You take responsibility for whether the systems you build deliver their intended value in production.
• Experience building AI systems. You have built applications powered by LLMs or other AI models and are comfortable composing multiple components — prompts, agents, tools, retrieval, evaluators, workflows, and integrations — into end-to-end systems.
• Strong engineering fundamentals. You write clean, maintainable Python and are comfortable building production software systems.
• AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work.
• Comfort in customer environments. You are able to work directly with customer teams, ask good questions, and adapt quickly to new domains.
• Pragmatic delivery mindset. You can navigate ambiguity, make progress with incomplete information, and balance speed with robustness when building systems that need to work for production users.
• Willingness to travel. Travel is typically 10-30%, depending on the project, customer needs, and your role on the engagement.

Mansioni

• Build and operate AI systems deployed in customer environments, taking ownership of system behavior, reliability, and usefulness in production.
• Design and implement compound AI workflows that combine models, prompts, agents, tools, retrieval, evaluation, feedback loops, and execution into coherent production systems aligned with user and SME needs.
• Develop clean, maintainable Python services and application logic that integrate AI capabilities into customer workflows, data platforms, APIs, and existing applications.
• Operate on live systems by measuring behavior, identifying failure modes, debugging issues, and iterating rapidly to improve quality, reliability, and user value.
• Build evaluation frameworks, test cases, feedback mechanisms, and observability patterns that help teams understand and improve AI system performance over time.
• Work directly with customer stakeholders and subject matter experts to understand workflows, clarify requirements, reason about tradeoffs, and adapt systems as needs evolve.
• Use AI-native engineering tools to accelerate implementation, debugging, experimentation, data analysis, and system improvement.
• Collaborate with other AI Engineers, AI Strategists, and other Distillers to make pragmatic system design decisions that balance speed, robustness, maintainability, and customer impact.
• Take accountability for the production outcomes of the components, workflows, and systems you build.

Conoscenze

5+ years experience

French language

Ownership mentality

AI systems

Python proficiency

Customer-facing communication

Travel willingness

Strumenti

Python

Descrizione del lavoro

Distyl AI seeks AI Engineers to design, implement, deploy, and iterate on end-to-end AI systems within customer environments. You will translate operational needs into concrete system behavior, build Python services, and work closely with SMEs and Distyl engineers to deliver robust production solutions.

The role emphasizes ownership of outcomes, hands-on building with LLMs, and a pragmatic, customer-focused mindset. This is a hybrid role with a New York office commitment.