Python GenAI Developer
Apptad Inc.
Charlotte, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 114KJob location
Remote
Charlotte, United States of America
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Data Security
Python
Machine Learning
Open Source Technology
TypeScript
Flask
Large Language Models
Generative AI
FastAPI
HuggingFace
REST
GPT
Programming Languages
Microservices
Job description
We are seeking a skilled Python GenAI Developer to design, develop, and deploy generative AI solutions. The ideal candidate will have strong experience in Python programming, large language models (LLMs), and building scalable AI-driven applications. You will work closely with data scientists, ML engineers, and product teams to create intelligent systems that enhance business processes., * Design and develop generative AI applications using Python
- Integrate and work with LLMs (e.g., GPT, open-source models) for real-world use cases
- Build and optimize prompts, embeddings, and retrieval-augmented generation (RAG) pipelines
- Develop APIs and microservices to deploy AI solutions
- Fine-tune models and improve performance, accuracy, and scalability
- Work with cloud platforms (AWS/GCP/Azure) for deployment and monitoring
- Collaborate with cross-functional teams to translate business requirements into AI solutions
- Ensure data security, compliance, and best practices in AI development
- Stay updated with the latest advancements in GenAI and machine learning, Role Overview As a Python + Typescript Developer, you will leverage your expertise in both programming languages to drive impactful AI training initiatives. This role is perfect fo…
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Requirements
- Strong proficiency in Python
- Hands-on experience with Generative AI and LLM frameworks (e.g., LangChain, LlamaIndex)
- Experience with APIs such as OpenAI, Hugging Face, or similar platforms
- Solid understanding of NLP concepts and machine learning fundamentals
- Experience with vector databases (e.g., Pinecone, FAISS, Weaviate)
- Familiarity with REST APIs, FastAPI/Flask
- Experience with cloud platforms (AWS, GCP, or Azure)
- Strong problem-solving and analytical skills
About the company
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