Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.
Goodfit is seeking a highly motivated AI Engineer to design and deliver AI-powered proof-of-concepts in a fast-paced, research-driven environment. You will work with Large Language Models to build intelligent applications, craft prompts, and optimize function-calling logic for LLM systems.
You will also integrate external APIs, handle structured and unstructured data, and collaborate with cross-functional teams using Git workflows.
We are looking for a highly motivated AI Engineer with strong hands-on development skills and a passion for building AI-powered proof-of-concepts. The ideal candidate thrives in a fast-paced, research-driven environment and enjoys experimenting with cutting-edge AI and Large Language Model (LLM) technologies to solve real-world problems.
Design, develop, and deliver AI-powered proof-of-concepts (POCs) and prototypes
Work hands-on with Large Language Models (LLMs) to build intelligent applications
Develop and optimize prompts, workflows, and function-calling logic for LLM-based systems
Integrate external and internal APIs, handling both structured and unstructured data
Collaborate with cross-functional teams using Git-based development workflows
Rapidly experiment, iterate, and validate AI solutions in a research-oriented environment
Translate complex problems into practical AI-driven solutions
Hands-on experience building working AI proof-of-concepts
Strong experience with Large Language Models (LLMs)
Prompt engineering and LLM function/tool calling
API integration and data handling (structured & unstructured)
Strong analytical and problem-solving skills
Familiarity with Git and collaborative development practices
Strong AI + Python with Lang Chain experience (would be plus), with limited Java experience would be fine.
Experience building Agentic AI systems
Experience with Conversational AI, chatbots, or summarization tools
Hands-on experience with OpenAI or similar LLM platforms
Familiarity with Streamlit, FastAPI, or Flask for building demos or UI tools
Exposure to machine learning frameworks or AI cloud services