Full Stack Developer, Associate

LCG, Inc. is seeking a Full Stack Developer / AI Engineer – Associate to support their NIH client in developing innovative AI-powered solutions. The role involves designing and implementing AI-driven applications, enhancing existing tools, and collaborating with technical teams to improve operational efficiency.

Responsibilities:

• Develop and implement AI-powered applications using Azure OpenAI, LLM technologies, Retrieval-Augmented Generation (RAG) pipelines, and vector database architectures
• Design and build Generative AI applications, intelligent agents, and chatbot solutions that automate internal business processes and support staff workflows
• Implement semantic search and document retrieval systems using vector databases to support AI-driven knowledge retrieval
• Enhance and maintain the existing client AI Chat Tool, improving user experience and response accuracy through AI technologies
• Develop intelligent Generative AI applications supporting use cases such as:
• Compliance verification for new policies and funding opportunities
• Compliance verification for new policies and funding opportunities
• Policy and regulatory change analysis
• AI-driven meeting scheduling and coordination
• Monitoring of grant and clinical trial activities
• Knowledge retrieval from internal documentation and SOP repositories
• Support the configuration and enhancement of secure Azure cloud infrastructure used to host AI applications and services, including:
• Azure OpenAI services
• Azure Storage accounts
• Azure Applications and Database services
• Assist cloud and infrastructure teams with deploying AI-powered applications that leverage vector databases and RAG architectures
• Work within the existing Azure OpenAI environment to integrate AI services and ensure applications function effectively within the client’s cloud infrastructure
• Collaborate with cloud engineering and security teams to ensure AI solutions align with NIH cloud governance, security policies, and infrastructure standards
• Assist with documenting AI solution architecture and implementation components
• Develop full stack AI applications using React for front-end interfaces and Python-based APIs for backend services
• Build RESTful APIs and AI service endpoints using FastAPI to connect LLM services with enterprise applications
• Support development of RAG pipeline components integrating vector databases with enterprise data sources
• Assist in developing LLM-integrated applications and APIs that connect AI services with enterprise systems
• Implement data pipelines and integrations using SQL, NoSQL, and vector databases as well as external APIs
• Develop backend and automation services using Python, FastAPI, and modern API frameworks
• Utilize GitHub for version control, code collaboration, and maintaining source code repositories across development environments
• Collaborate with stakeholders to define, prototype, test, and deploy AI use cases
• Work with client staff to assess automation opportunities and evaluate operational efficiency improvements
• Support analysis of automation opportunities and document potential efficiency improvements
• Assist with analyzing and documenting cloud resource usage and cost considerations for AI deployments
• Leverage Microsoft Power Automate to support workflow automation and integrate AI-powered processes into existing business applications
• Utilize Power BI to develop dashboards and reports that visualize application performance, usage metrics, operational insights for stakeholders
• Prepare and complete status reports, providing updates on development progress, milestones, risks, and pilot outcomes to client leadership and stakeholders
• Conduct User Acceptance Testing (UAT) with pilot users and incorporate feedback into system improvements
• Develop technical documentation, including:
• Requirements documentation
• Architecture and design documents
• Testing plans and implementation strategies
• Standard operating procedures (SOPs)
• Create a fact sheets for Generative AI applications developed, summarizing functionality, key features, use cases, and benefit for stakeholders and end users
• Develop training materials and recorded training sessions to support user adoption