We are looking for an experienced AI Backend Engineer to join our fast-growing company during an exciting stage of innovation. In this role, you'll design and develop Agent and LLM-based features, engineer and optimize context and high-quality prompts, implement agentic architectures in production and evaluate and monitor applications effectively. If you're passionate about staying at the forefront of Large Language Model AI applications and collaborating with a team of experts, wed love to hear from you!
What Will You Do?
Take part in all development aspects, from design to production, of Agent and LLM-based features and applications.
Take part in all the development and planning aspects of a backend application, understanding scale, performance, observability.
Craft and optimize high-quality prompts to enhance application functionality and output quality.
Develop datasets and benchmarks to evaluate and monitor LLM-based applications effectively.
Stay up to date with state-of-the-art research in the field of Large Language Models and apply relevant advancements to improve our applications.
Collaborate closely with other team members and contribute to a culture of innovation and continuous improvement.
Mentor new team members and share your expertise to strengthen the team's collective knowledge.
Requirements: What Should You Bring to the Table?
Significant real-world experience (at least 5 years) of developing software for production backend systems (Go, Python, Typescript, Node etc).
Proficiency in LLM application concepts and techniques such as Agentic Memory, Retrieval-Augmented Generation (RAG), embeddings, Multiagent systems, and more.
Hands-on experience with measuring AI systems - developing datasets, evaluation benchmarks, and performance monitoring systems for LLM applications.
A solid understanding of state-of-the-art advancements in the field of Large Language Models .
Ability to take initiative, scope work iteratively, and make meaningful design decisions to drive projects to completion.
Preferred Qualifications:
A strong focus on data and data quality, with the ability to optimize data flows for developing cutting-edge LLM-based applications.
Familiarity with Langchain, LangGraph or other LLM-based frameworks
The ideal candidate possesses a data science mindset combined with an engineer's agility and focus on swiftly bringing solutions into production.
This position is open to all candidates.