Full Stack Developer

Position Summary & Responsibilities:

Located in Lexington, KY, this role builds the technical foundation of our internal AI platform, supports its rollout across the firm, and helps establish a repeatable deployment model for our portfolio companies.

• Conduct architecture and infrastructure reviews of the AI platform, recommending improvements to design, scalability, and reliability; review proposed local-server specifications and other infrastructure investments.
• Design and develop full-stack applications end-to-end — backend services and APIs, data models, and responsive front-end interfaces — that power internal intelligent systems.
• Integrate large language models (OpenAI, Anthropic Claude, and comparable) into production services, applying retrieval-augmented generation (RAG), prompt engineering, and structured outputs to deliver context-aware, reliable AI features.
• Build and refine model orchestration and routing, context and memory strategies, and the supporting service layers for AI-driven workflows.
• Develop user-interface and administrative tooling, reporting interfaces, and role-based access controls for internal users.
• Set up and maintain development, staging, and production environments; containerize and deploy services (Docker) to cloud platforms (AWS or Azure) and establish CI/CD pipelines.
• Implement observability, logging, performance tuning, cost optimization, and security hardening across the platform.
• Develop connectors and integrations to approved internal systems and data sources for the platform and internal workflows.
• Support firm-wide rollout to approximately 100 internal users — onboarding, departmental workflow design, knowledge-capture patterns, training support, and adoption-focused refinements.
• Lead and execute AI-platform rollouts across MiddleGround’s portfolio companies on an ongoing basis — planning each deployment, adapting the standard template to the company’s environment, and driving the engagement from kickoff through go-live.
• Perform hands-on integration work at portfolio companies, connecting their systems of record (ERP, CRM, Snowflake, and other approved sources) through ingestion, normalization, and reporting pipelines.
• Partner with and enable portfolio-company technical and executive teams — providing guidance, technical direction, and training so their staff can own and sustain the platform after deployment.
• Design executive and C-suite workflows for portfolio-company leadership, and continuously refine the repeatable deployment playbook and template to make each successive rollout faster and more consistent.
• Write clear technical documentation and maintain work in Azure DevOps; handle all firm and portfolio-company data in accordance with confidentiality and data-security requirements.

Required Qualifications:

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 4–7 years of professional full-stack development experience delivering production-grade applications.
• Strong backend development with Java and Spring Boot (or a comparable mainstream stack such as Python or Node.js), building RESTful microservices.
• Proficiency in modern front-end development with React (Redux, Hooks, component libraries) and TypeScript/JavaScript.
• Demonstrated experience integrating LLM APIs (OpenAI, Claude, or comparable) into real applications — including RAG, prompt engineering, and sound reasoning about cost, latency, and output reliability.
• Hands-on cloud experience (AWS or Azure), including Docker containerization and CI/CD pipelines (e.g., Jenkins, GitHub Actions, or Azure DevOps Pipelines).
• Solid relational database skills (PostgreSQL, MySQL, or Oracle), including schema design and query optimization.
• Experience implementing secure authentication and authorization (OAuth 2.0, JWT, role-based access control).
• Proven ability to work independently and own delivery with minimal supervision.
• Strong written and verbal communication with technical and non-technical stakeholders.

Preferred Qualifications:

• Master’s degree in Computer Science or a related field.
• Experience with data engineering and pipelines, particularly Snowflake, and with ERP and CRM system integration.
• Familiarity with model orchestration frameworks and AI tooling (e.g., LangChain) and AI-assisted development workflows (e.g., GitHub Copilot).
• Experience with event-driven and messaging systems (Apache Kafka, RabbitMQ).
• Exposure to private equity, financial services, or another data-sensitive, regulated environment.
• Experience leading multi-organization technology rollouts or client-facing deployment programs, including guiding and enabling external teams.
• Experience with infrastructure-as-code (Terraform) and observability tooling (Prometheus, Grafana, ELK Stack).

Technical Skills:

Languages: Java (8–17), Python, JavaScript/TypeScript, SQL, HTML5, CSS3

Backend: Spring Boot, Spring MVC, Spring Security, Spring Data JPA, Spring Cloud, Node.js

Frontend: React.js, Redux, Hooks, Material UI / component libraries

AI / Intelligent Systems: OpenAI API, Anthropic Claude API, RAG, prompt engineering, LLM integration, model orchestration & routing, LangChain

Cloud & DevOps: AWS, Azure, Docker, Kubernetes, CI/CD (Azure DevOps, Jenkins, GitHub Actions), Terraform

Databases & Data: PostgreSQL, MySQL, Oracle, MongoDB, Redis, Snowflake; ERP/CRM integration

Security: OAuth 2.0, JWT, RBAC, TLS/SSL, secrets management

Observability: Prometheus, Grafana, ELK Stack, CloudWatch