Remote Applied AI Engineer (Agentic Workflows)

at Built In

Posted 3 days ago 2 applied

Description:

  • 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.