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AI Developer

Location: 100% remoteDuration: 6 months contract; likely extensionsWork Authorization: AnyInterview: 3 roundsNotes:

AI Developer:

All qualities of Fullstack Developer (Python based) +
Working experience with LLMs (Azure OpenAI (this is what they use), OpenAI or HuggingFace)
Working experience with agentic frameworks like CrewAI, Langchain or Langgraph
Experience with agentic telemetry tools like AgentOp or Langsmith
Has experience with Chatgpt
Must have strong programming Python (will have to complete Leet code in the interview)
Experience with Microsoft tools/stack

Looking for someone with a Python Development background, not Data Scientist.

Will assist the client in building an in-house banking tool from scratch, must have experience with system design. Preferred if the candidate has built LLM s nd other AI tools from scratch in previous projects.

Job Description:

AI Developer

We are seeking a mid-to-senior level AI Developer to join a dynamic, fully remote team focused on building cutting-edge AI-driven applications. This role requires all the capabilities of a Python-based Fullstack Developer, plus deep, hands-on experience with Large Language Models (LLMs) particularly Azure OpenAI (preferred), OpenAI, or HuggingFace. The ideal candidate will also bring working knowledge of agentic frameworks such as Langchain, CrewAI, or Langgraph, and experience with agentic telemetry tools like AgentOp or Langsmith to monitor and enhance AI performance.

A strong background in ChatGPT, excellent programming skills, and familiarity with the Microsoft tech stack are essential. This person should be comfortable working independently, thrive in a collaborative environment, and have a strong attention to detail when building intelligent, scalable systems.

Location: 100% Remote

Duration: 6 months, with the potential for extension

Must be able to work independently and manage time effectively

Strong attention to detail and commitment to quality

Key Responsibilities:

Develop and maintain AI-driven applications using Python and relevant frameworks

Implement and optimize LLMs to enhance application capabilities

Integrate and utilize agentic frameworks to support AI functionalities

Monitor and analyze AI performance using telemetry tools

Collaborate with cross-functional teams to deliver innovative AI solutions

Key Technical Skills:

Fullstack Development (Python-based)