C
Generative AI Engineer
ChaTeck,Inc
3 hours ago
Full-time
On-site
Tampa, Florida, United States
Software Developer – Generative AI & Python Model Implementation
Location: Dallas, TX and Tampa, FL ( Onsite Role)
Long Term
Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.
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 . xsgimln Experience with model monitoring, observability, and AI evaluation.
-- Regards Kevin ChaTeck Inc. 972-597-5008 (D) People .Consulting .Technology .Outsourcing
Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.
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 . xsgimln Experience with model monitoring, observability, and AI evaluation.
-- Regards Kevin ChaTeck Inc. 972-597-5008 (D) People .Consulting .Technology .Outsourcing