New Graduate AI Engineer, Distyl
+ Equity
In office Tuesday - Thursday
3 days a week in office
Generative AI solutions for enterprises
Job no longer available
Generative AI solutions for enterprises
101-200 employees
Job no longer available
+ Equity
In office Tuesday - Thursday
3 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
- We’re hiring early-career / new-graduate AI Engineers who are excited to build real-world AI systems and grow quickly in a fast-paced, customer-facing environment
- This role is ideal for candidates who have strong technical fundamentals, a passion for AI, and a desire to learn how cutting-edge GenAI systems are built and deployed in enterprise settings
- We’re excited to meet candidates who are curious, motivated, and eager to learn
- A degree in Computer Science, Engineering, AI/ML, or a related field
- Proficiency in Python or TypeScript, with strong software engineering fundamentals
- Academic, internship, or project experience with LLMs or GenAI systems, such as:
- Prompting and prompt experimentation
- RAG pipelines
- Simple AI agents or tool-using systems
- Familiarity with LLM tooling or frameworks (e.g., LangChain, LlamaIndex, Agents SDK, or similar), or strong interest in learning them
- Experience building projects end-to-end (school projects, internships, hackathons, or open-source)
- Comfort working in collaborative environments and learning from feedback
- Basic familiarity with cloud platforms (AWS, GCP, or Azure), Docker, or CI/CD is a plus, but not required
What the job involves
- As a new grad at Distyl, you’ll be a hands-on contributor from day one, working alongside experienced engineers to design, implement, and deploy production-grade AI systems powered by Large Language Models (LLMs)
- This role offers structured exposure to both technical engineering work and real-world business applications of AI
- You’ll begin by learning through hands-on development and shadowing customer work, and over time grow into greater ownership of technical decisions and solution design
- Design, implement, and deploy GenAI applications under the guidance of senior engineers
- Contribute to prompt design, agent logic, retrieval-augmented generation (RAG), and model evaluation
- Help build full-stack AI applications that deliver measurable business value
- Gain exposure to customer-facing work by initially shadowing technical conversations and learning how business needs are translated into system design, with opportunities over time to take on more responsibility in technical decision-making and implementation
- Partner with senior engineers to understand customer problems and translate requirements into technical solutions
- Participate in customer discussions, solution design sessions, and iterative delivery
- Help improve Distillery, Distyl’s internal LLM application platform, by building reusable components, tools, and workflows
- Learn best practices for scalable, maintainable AI infrastructure
- Write clean, well-tested, and observable code that meets reliability, performance, and security standards
- Learn how production AI systems are monitored, debugged, and improved over time
- Assist with evaluating AI systems across accuracy, latency, cost, and robustness
- Apply feedback from users and metrics to improve system performance
- Continuously develop your skills in LLMs, software engineering, and AI through mentorship, code reviews, and hands-on project work
- Learn modern development workflows and deployment practices used in enterprise AI
- In your first year, you’ll:
- Ship production AI features used by real customers
- Develop a strong foundation in LLM systems and AI engineering best practices
- Grow into owning meaningful components of customer-facing AI systems
- Build confidence working across the full lifecycle of AI development—from problem definition to deployment
- Gain structured customer exposure—starting by shadowing technical discussions and learning how business requirements map to technical solutions, and gradually taking on more ownership in both technical execution and customer-facing conversations
- Mentorship from experienced AI engineers through hands-on project work, code reviews, and design discussions
Application process
- Due to the high volume of interest, we’re not able to review or respond to all direct emails or LinkedIn messages
- We will be in touch with every applicant once we’ve completed our review, regardless of the decision
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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