Built In is seeking an experienced Applied AI Engineer to design and develop intelligent, agentic systems that take action on behalf of users.
The role involves working at the intersection of AI automation and user experience, focusing on building conversational UIs and AI-driven workflows that address real-world problems with minimal user input.
Responsibilities include architecting and building agentic workflows that interpret intent, planning tasks, and executing operations on behalf of users.
The engineer will develop and iterate on chat-based user interfaces for rich, dynamic interactions.
The position requires leveraging LLM platforms (e.g., OpenAI, Anthropic) and orchestration tools like LangChain, Semantic Kernel, or custom frameworks.
Collaboration with backend engineers, product managers, and designers is essential to integrate conversational features into the platform.
The engineer will design robust systems for evaluating agent performance, user feedback loops, and improving reliability.
Staying current with cutting-edge developments in LLM tools, RAG pipelines, memory/state handling, and prompt engineering is also a key aspect of the role.
Requirements:
Candidates must have 4+ years of experience in a Data Science, Machine Learning, or Applied AI role.
A deep experience with Python, LLM APIs, and libraries such as transformers, langchain, and OpenAI is required.
Experience in building chatbots or conversational UIs, along with a strong understanding of natural language processing, is necessary.
A solid grasp of SQL, APIs, and structured/semi-structured data is essential.
Familiarity with vector databases, tool use orchestration, and agent memory design is expected.
Excellent collaboration and communication skills, particularly in cross-functional teams, are required.
Bonus qualifications include experience in reinforcement learning, retrieval-augmented generation (RAG), or AI monitoring systems.
Benefits:
Employees will have the opportunity to help shape intelligent systems that act autonomously in real-world environments.
The company promotes a product-led, engineering-driven culture.
Built In offers a remote-first team environment with a collaborative and flexible work structure.
There are opportunities for leadership and technical ownership in AI development.