Woolbright Development
Position 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 our dynamic team. 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 play a pivotal role in designing, developing, and deploying 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 both commercial (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 specific project requirements. * Develop computer vision and multimodal AI solutions such as SAM, DETR, Vision Transformers, and integrate them with LLMs for applications that require both visual and language understanding. * Build applications and services with production-ready frameworks (LangChain, LlamaIndex) to integrate LLMs into broader systems and workflows, enhancing their utility and effectiveness. * Write robust, efficient, and maintainable Python code, following best practices in software engineering and AI system integration. * Collaborate with cross-functional teams, software engineers, data analysts, graphic designers and other members of management, 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 under real-world conditions. * Provide technical guidance and support to team members, contributing to their growth and the overall success of the project. * Document development processes, architectures, and decisions to ensure clarity, maintainability, and long-term system sustainability.
Required Skills and Qualifications:
* Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Advanced degrees (MS or PhD) or equivalent work experience are preferred. * Proven expertise in developing, fine-tuning, and deploying Large Language Models (LLMs) in production environments, including integration into retrieval-augmented generation (RAG) pipelines and enterprise workflows. * Strong proficiency in Python programming, with experience in software development and AI model integration. * Demonstrable experience with LLM orchestration frameworks such as LangChain or LlamaIndex for creating, managing, and deploying language model-powered applications. * Familiarity with containerization technologies (e.g., Docker, Kubernetes) and DevOps practices. * Solid understanding of machine learning concepts, natural language processing (NLP), and their practical applications. * Ability to work in a fast-paced, collaborative environment and manage multiple projects simultaneously. * Proficient and comfortable with software development within an Azure cloud infrastructure * Excellent problem-solving skills and the capacity to think creatively and outside the box. * Strong verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. * Local Candidates Only * Applicants must be authorized to work in the United States without the need for current or future sponsorship.
Desirable Skills/Knowledge:
* Experience with cloud computing platforms (Azure preferred; AWS, GCP also valuable) and their AI/ML services. * Familiarity with modern DevOps/MLOps practices, including CI/CD pipelines, monitoring, and model lifecycle management. * Python programming. * Experience working with both commercial LLMs (e.g., OpenAI GPT, Anthropic Claude, Google Gemini) and open-source models (e.g., LLaMA, Mistral). * LangChain, PyTorch, LlamaIndex, or similar frameworks. * Advanced prompt engineering, structured output design, and evaluation techniques. * Strong background in Retrieval-Augmented Generation (RAG), including design and optimization of retrieval pipelines. * Vector databases (GCP Vector Search, ChromaDB, Pinecone, PQ Vector, or similar). * Experience with computer vision and multimodal AI (SAM, DETR, Vision Transformers), and integrating visual and textual models in applied solutions.
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 our dynamic team. 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 play a pivotal role in designing, developing, and deploying 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 both commercial (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 specific project requirements. * Develop computer vision and multimodal AI solutions such as SAM, DETR, Vision Transformers, and integrate them with LLMs for applications that require both visual and language understanding. * Build applications and services with production-ready frameworks (LangChain, LlamaIndex) to integrate LLMs into broader systems and workflows, enhancing their utility and effectiveness. * Write robust, efficient, and maintainable Python code, following best practices in software engineering and AI system integration. * Collaborate with cross-functional teams, software engineers, data analysts, graphic designers and other members of management, 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 under real-world conditions. * Provide technical guidance and support to team members, contributing to their growth and the overall success of the project. * Document development processes, architectures, and decisions to ensure clarity, maintainability, and long-term system sustainability.
Required Skills and Qualifications:
* Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Advanced degrees (MS or PhD) or equivalent work experience are preferred. * Proven expertise in developing, fine-tuning, and deploying Large Language Models (LLMs) in production environments, including integration into retrieval-augmented generation (RAG) pipelines and enterprise workflows. * Strong proficiency in Python programming, with experience in software development and AI model integration. * Demonstrable experience with LLM orchestration frameworks such as LangChain or LlamaIndex for creating, managing, and deploying language model-powered applications. * Familiarity with containerization technologies (e.g., Docker, Kubernetes) and DevOps practices. * Solid understanding of machine learning concepts, natural language processing (NLP), and their practical applications. * Ability to work in a fast-paced, collaborative environment and manage multiple projects simultaneously. * Proficient and comfortable with software development within an Azure cloud infrastructure * Excellent problem-solving skills and the capacity to think creatively and outside the box. * Strong verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. * Local Candidates Only * Applicants must be authorized to work in the United States without the need for current or future sponsorship.
Desirable Skills/Knowledge:
* Experience with cloud computing platforms (Azure preferred; AWS, GCP also valuable) and their AI/ML services. * Familiarity with modern DevOps/MLOps practices, including CI/CD pipelines, monitoring, and model lifecycle management. * Python programming. * Experience working with both commercial LLMs (e.g., OpenAI GPT, Anthropic Claude, Google Gemini) and open-source models (e.g., LLaMA, Mistral). * LangChain, PyTorch, LlamaIndex, or similar frameworks. * Advanced prompt engineering, structured output design, and evaluation techniques. * Strong background in Retrieval-Augmented Generation (RAG), including design and optimization of retrieval pipelines. * Vector databases (GCP Vector Search, ChromaDB, Pinecone, PQ Vector, or similar). * Experience with computer vision and multimodal AI (SAM, DETR, Vision Transformers), and integrating visual and textual models in applied solutions.