AI Engineer, Distyl
French Speaker
$150-250k
This role is eligible for meaningful equity
More information about location
3-5 days a week in office
Generative AI solutions for enterprises
Be an early applicant
Generative AI solutions for enterprises
101-200 employees
Be an early applicant
$150-250k
This role is eligible for meaningful equity
More information about location
3-5 days a week in office
101-200 employees
Company mission
To create the most customer-centric AI company that revolutionizes how enterprise thrive in the AI-assisted economy.
Role
Who you are
- 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. You are comfortable making technical decisions, learning from system behavior, and owning the results of your work
- 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. You reason about system behavior holistically rather than treating models as black boxes
- Strong engineering fundamentals. You write clean, maintainable Python and are comfortable building production software systems. You understand core engineering concepts like versioning, debugging, testing, performance, code review, and production readiness
- AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You are curious about new model capabilities and techniques, and actively incorporate them into how you build and iterate on systems
- Comfort in customer environments. You are able to work directly with customer teams, ask good questions, and adapt quickly to new domains. You communicate clearly about system behavior, limitations, and tradeoffs, and can operate effectively in high-trust, high-visibility situations
- 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
What the job involves
- AI Engineers build and operate production AI systems that deliver business value inside customer environments
- This role is for engineers who thrive in ambiguous problem spaces, take ownership of outcomes, and want to work directly on AI systems that must perform reliably under enterprise constraints
- AI Engineers are hands-on builders
- They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers
- They translate messy operational needs into concrete system behavior, build the software and AI workflows required to support that behavior, and continuously improve systems through evaluation, feedback, integration, and production iteration
- This is not a demo-building role
- AI Engineers are expected to make AI systems work in practice: with users, data, constraints, and accountability for production outcomes
- 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
Our take
Distyl helps large enterprises adopt AI by providing tailored AI solutions. Its platform combines AI-native software with a top engineering team, enabling rapid implementation of AI across industries like healthcare, telecom and retail.
The company uses precision-engineered software and tools like Distillery to automate operations, transforming knowledge into AI processes. This results in faster decision-making and improved efficiency, allowing enterprises to stay competitive and optimise their operations.
With impressive funding secured, Distyl has quickly gained traction from Fortune 100 companies, delivering stunning outcomes like a 47% reduction in task resolution time. Having broken into Unicorn territory with a $1.7 billion valuation within two years of founding, the company is growing and expanding its customer base and product capabilities.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Sep 2025
$175m
LATE VC
Nov 2024
$20m
SERIES A
Total funding: $202m
Company benefits
- Equity options and healthcare
- Collaborative and supportive work environment
- Strong focus on personal and professional growth
Company HQ
SoMa, San Francisco, CA
Leadership
Arjun Prakash
(Co-Founder & CEO)Previously the Head of Solutions at Snorkel AI, a Business Development Head at Palantir Technologies and an Associate at BlackRock.
Derek Ho
(Co-Founder & COO)Previously the VP of Customers at Mendel.ai and also worked in Business Development at Palantir Technologies.
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