Generative AI Engineer

ChaTeck,Inc; Tampa (FL); Presencial; USD 120.000 - 150.000; Jornada completa

Descripción de la vacante

ChaTeck Inc. in Dallas, TX and Tampa, FL is seeking a Software Developer – Generative AI & Python Model Implementation to design, develop, and deploy AI-powered applications. You will bring strong Python expertise and hands-on experience with Generative AI/LLMs to production.

You will build and optimize Python-based pipelines, integrate AI models with APIs and services, and collaborate with Data Scientists, ML Engineers, and software teams to deliver scalable solutions.

Formación

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
• 3+ years of software development experience, preferably with Python.
• Strong proficiency in Python programming, object‑oriented programming, APIs, and software development principles.
• Hands‑on experience implementing machine learning or Generative AI models.
• Understanding of LLMs, transformers, embeddings, vector databases, and AI inference.
• Experience with at least one ML framework such as PyTorch or TensorFlow.
• Experience with REST APIs and microservices.
• Familiarity with Git, CI/CD, testing, debugging, and production software development.
• Experience working with relational and/or NoSQL databases.

Responsabilidades

• Develop and maintain scalable Python applications and AI/ML solutions.
• Implement and integrate Generative AI models, Large Language Models (LLMs), and AI APIs into production applications.
• Develop Python-based pipelines for model inference, data processing, evaluation, and automation.
• Work with frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, or similar AI/ML technologies.
• Implement techniques such as prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector search, and fine‑tuning where appropriate.
• Build APIs and services for AI models using frameworks such as FastAPI or Flask.
• Optimize models and inference pipelines for performance, scalability, reliability, and cost.
• Integrate AI solutions with databases, cloud services, enterprise applications, and existing software systems.
• Develop automated testing and evaluation frameworks to assess model accuracy, quality, latency, and reliability.
• Collaborate with Data Scientists, ML Engineers, Software Engineers, Product Managers, and other stakeholders.
• Troubleshoot model, application, integration, and production issues.
• Follow software engineering best practices, including Git, CI/CD, code reviews, documentation, and automated testing.

Conocimientos

Python development

3+ years experience

REST APIs

Git CI/CD Testing

AI/ML fundamentals

Educación

Bachelor's degree in CS/Software Eng/Data Science

Herramientas

PyTorch

TensorFlow

Hugging Face

LangChain

FastAPI

Flask

Docker

Kubernetes

Pinecone

Weaviate

Milvus

FAISS

Descripción del empleo

Location: Dallas, TX and Tampa, FL ( Onsite Role)

Long Term

No Sponsorship provided, Need an Independent VISA Holder only

Need to work on W2/1099/ C2C with Own Corp(No C2C)

Job Summary

We are seeking a skilled Software Developer – Generative AI & Python Model Implementation to design, develop, integrate, and deploy AI-powered applications and machine learning models. The ideal candidate will have strong Python development experience, hands‑on knowledge of Generative AI/LLMs, and experience taking AI models from experimentation through production.

Key Responsibilities

• Develop and maintain scalable Python applications and AI/ML solutions.
• Implement and integrate Generative AI models, Large Language Models (LLMs), and AI APIs into production applications.
• Develop Python-based pipelines for model inference, data processing, evaluation, and automation.
• Work with frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, or similar AI/ML technologies.
• Implement techniques such as prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector search, and fine‑tuning where appropriate.
• Build APIs and services for AI models using frameworks such as FastAPI or Flask.
• Optimize models and inference pipelines for performance, scalability, reliability, and cost.
• Integrate AI solutions with databases, cloud services, enterprise applications, and existing software systems.
• Develop automated testing and evaluation frameworks to assess model accuracy, quality, latency, and reliability.
• Collaborate with Data Scientists, ML Engineers, Software Engineers, Product Managers, and other stakeholders.
• Troubleshoot model, application, integration, and production issues.
• Follow software engineering best practices, including Git, CI/CD, code reviews, documentation, and automated testing.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
• 3+ years of software development experience, preferably with Python.
• Strong proficiency in Python programming, object‑oriented programming, APIs, and software development principles.
• Hands‑on experience implementing machine learning or Generative AI models.
• Understanding of LLMs, transformers, embeddings, vector databases, and AI inference.
• Experience with at least one ML framework such as PyTorch or TensorFlow.
• Experience with REST APIs and microservices.
• Familiarity with Git, CI/CD, testing, debugging, and production software development.
• Experience working with relational and/or NoSQL databases.

Preferred Qualifications

• Experience with OpenAI, Anthropic, Google Gemini, Azure OpenAI, or other foundation‑model APIs.
• Experience implementing RAG applications and agentic AI workflows.
• Experience with vector databases such as Pinecone, Weaviate, Milvus, or FAISS.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of Docker, Kubernetes, and cloud‑based model deployment.
• Experience with model monitoring, observability, and AI evaluation.

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Regards

Kevin

ChaTeck Inc.

972-597-5008 (D)

[e-mail]

www.chateck.com

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