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.
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:
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.
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.
