AI Developer (Local Candidates Only) - Woolbright Development : Job Details

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.