Woolbright Development
Overview
We are seeking a highly skilled and innovative AI Developer with expertise in Large Language Models (LLM), vision modeling, production-ready frameworks, and Python programming to join Woolbright Development. This role is ideal for individuals passionate about advancing AI technologies and applying their skills to develop cutting-edge solutions. As an AI Developer at our company, you will design, develop, and deploy production-grade AI applications and systems that leverage both language and vision models to solve complex problems and deliver value to our organization and partners. Key Responsibilities
Design and implement AI solutions using Large Language Models (LLMs), including commercial models (e.g., OpenAI GPT, Anthropic, Gemini) and open-source models (e.g., LLaMA, Mistral). This includes customization, fine-tuning, and integration into production pipelines to meet project requirements. Develop computer vision and multimodal AI solutions (e.g., SAM, DETR, Vision Transformers) and integrate them with LLMs for applications requiring visual and language understanding. Build applications and services with production-ready frameworks (LangChain, LlamaIndex) to integrate LLMs into broader systems and workflows. Write robust, efficient, and maintainable Python code, following software engineering and AI system integration best practices. Collaborate with cross-functional teams to define project specifications, identify challenges, and devise innovative solutions. Stay abreast of the latest advancements in AI, language models, and related technologies, and evaluate their applicability to current and future projects. Conduct rigorous testing and validation of models and applications to ensure accuracy, scalability, and resilience in real-world conditions. Provide technical guidance and support to team members, contributing to their growth and the overall project success. Document development processes, architectures, and decisions to ensure clarity, maintainability, and long-term system sustainability. Qualifications
Bachelor's degree in Computer Science, Data Science, Statistics, or related field; advanced degrees (MS or PhD) or equivalent experience preferred. Proven expertise in developing, fine-tuning, and deploying LLMs in production environments, including retrieval-augmented generation (RAG) pipelines and enterprise workflows. Strong proficiency in Python programming and experience in software development and AI model integration. Experience with LLM orchestration frameworks such as LangChain or LlamaIndex for creating, managing, and deploying language model–powered applications. Familiarity with containerization technologies (Docker, Kubernetes) and DevOps practices. Solid understanding of machine learning, natural language processing, and their practical applications. Ability to work in a fast-paced, collaborative environment and manage multiple projects simultaneously. Proficiency with software development within an Azure cloud infrastructure. Excellent problem-solving skills and creative thinking. Strong verbal and written communication skills for conveying complex technical concepts to non-technical stakeholders. Experience with cloud platforms (Azure preferred; AWS, GCP valuable) and their AI/ML services. Familiarity with modern DevOps/MLOps practices, including CI/CD, monitoring, and model lifecycle management. Experience with both commercial LLMs (e.g., OpenAI GPT, Anthropic Claude, Google Gemini) and open-source models (e.g., LLaMA, Mistral). Experience with LangChain, PyTorch, LlamaIndex, or similar frameworks; advanced prompt engineering and retrieval-augmented generation (RAG). Familiarity with vector databases (e.g., Pinecone, ChromaDB) and knowledge of retrieval pipelines. Experience with computer vision and multimodal AI (e.g., SAM, DETR, Vision Transformers) and integrating visual and textual models. Seniority
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology
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We are seeking a highly skilled and innovative AI Developer with expertise in Large Language Models (LLM), vision modeling, production-ready frameworks, and Python programming to join Woolbright Development. This role is ideal for individuals passionate about advancing AI technologies and applying their skills to develop cutting-edge solutions. As an AI Developer at our company, you will design, develop, and deploy production-grade AI applications and systems that leverage both language and vision models to solve complex problems and deliver value to our organization and partners. Key Responsibilities
Design and implement AI solutions using Large Language Models (LLMs), including commercial models (e.g., OpenAI GPT, Anthropic, Gemini) and open-source models (e.g., LLaMA, Mistral). This includes customization, fine-tuning, and integration into production pipelines to meet project requirements. Develop computer vision and multimodal AI solutions (e.g., SAM, DETR, Vision Transformers) and integrate them with LLMs for applications requiring visual and language understanding. Build applications and services with production-ready frameworks (LangChain, LlamaIndex) to integrate LLMs into broader systems and workflows. Write robust, efficient, and maintainable Python code, following software engineering and AI system integration best practices. Collaborate with cross-functional teams to define project specifications, identify challenges, and devise innovative solutions. Stay abreast of the latest advancements in AI, language models, and related technologies, and evaluate their applicability to current and future projects. Conduct rigorous testing and validation of models and applications to ensure accuracy, scalability, and resilience in real-world conditions. Provide technical guidance and support to team members, contributing to their growth and the overall project success. Document development processes, architectures, and decisions to ensure clarity, maintainability, and long-term system sustainability. Qualifications
Bachelor's degree in Computer Science, Data Science, Statistics, or related field; advanced degrees (MS or PhD) or equivalent experience preferred. Proven expertise in developing, fine-tuning, and deploying LLMs in production environments, including retrieval-augmented generation (RAG) pipelines and enterprise workflows. Strong proficiency in Python programming and experience in software development and AI model integration. Experience with LLM orchestration frameworks such as LangChain or LlamaIndex for creating, managing, and deploying language model–powered applications. Familiarity with containerization technologies (Docker, Kubernetes) and DevOps practices. Solid understanding of machine learning, natural language processing, and their practical applications. Ability to work in a fast-paced, collaborative environment and manage multiple projects simultaneously. Proficiency with software development within an Azure cloud infrastructure. Excellent problem-solving skills and creative thinking. Strong verbal and written communication skills for conveying complex technical concepts to non-technical stakeholders. Experience with cloud platforms (Azure preferred; AWS, GCP valuable) and their AI/ML services. Familiarity with modern DevOps/MLOps practices, including CI/CD, monitoring, and model lifecycle management. Experience with both commercial LLMs (e.g., OpenAI GPT, Anthropic Claude, Google Gemini) and open-source models (e.g., LLaMA, Mistral). Experience with LangChain, PyTorch, LlamaIndex, or similar frameworks; advanced prompt engineering and retrieval-augmented generation (RAG). Familiarity with vector databases (e.g., Pinecone, ChromaDB) and knowledge of retrieval pipelines. Experience with computer vision and multimodal AI (e.g., SAM, DETR, Vision Transformers) and integrating visual and textual models. Seniority
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology
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