Applied AI Engineer at Taktile working on building AI agents for automated decisioning. Combining backend engineering with applied machine learning for real customer workflows.
Responsibilities
Build and operate AI agents in production.
Design, implement and maintain agent based systems in Python using frameworks from the modern agents ecosystem.
Create and maintain datasets that capture real world scenarios and edge cases.
Develop backend services in Python and FastAPI, hosted on AWS.
Contribute to internal libraries and patterns for building, evaluating and deploying agents.
Partner with product managers, data scientists and forward deployed engineers.
Deepen your understanding of LLM capabilities and limitations.
Requirements
Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication.
Strong engineering fundamentals with a passion for simplicity, precision and reliability.
Curiosity about how to apply AI safely and effectively in real world products.
Comfortable getting hands-on and truly understanding the data.
Prior industry experience with Python backend development, or as a data scientist or ML engineer shipping models or LLM based features into production.
At least 3 years of professional experience in software development with an emphasis on machine learning and natural language processing.
Hands on experience with large language models using APIs like OpenAI, Anthropic, Azure OpenAI or similar.
Experience with at least one agent or orchestration framework, for example LangChain, ADK, Strands or equivalent custom tooling.
Experience with databases and a major cloud provider (AWS preferred).
Proficiency in RESTful API design and implementation.
Benefits
Work with colleagues that lift you up, challenge you, celebrate you and help you grow.
Experience a truly flat hierarchy and communicate directly with founding team members.
Learn from experienced mentors and achieve tremendous personal and professional growth.
Receive a top of market equity and cash compensation package.
Get access to a self development budget you can use to for example attend conferences, buy books or take classes.
Receive a new Apple MacBook Pro, as well as meaningful home office set up.
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