Full Stack AI Developer
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Mid–Senior AI Developer
Location: Washington DC
Company: InSite (Energy & Infrastructure Technology Platform)
Reports To: Platform & Applied AI Manager
About InSiteInSite is a technology platform focused on energy, infrastructure, and building performance intelligence. We integrate operational data, market data, and external signals to deliver analytics, optimization, and AI-driven insights across healthcare, industrial, hospitality, and commercial portfolios. We are entering our next phase of platform evolution embedding AI models directly into enterprise workflows and developing intelligent agents capable of answering complex operational, financial, and market-driven questions.
Role Overview:
We are seeking a Mid-to-Senior AI Developer (3+ years experience) who can design, build, deploy, and integrate AI/ML models into a production-grade SaaS environment.
This role requires someone who understands both:
- The theory and mechanics of modern AI models, including LLMs, RAG models, and agentic structures, as well asThe practical engineering required to integrate them into enterprise systems
- You will work at the intersection of machine learning, data engineering, and full-stack application development building AI tools that operate on real-world building, energy, and market data.
- Key ResponsibilitiesAI & Model Development
- Design, train, fine-tune, and deploy ML/AI models (predictive, optimization, NLP).Build, train, test, and deploy custom agents using the Model Context Protocol
- Integrate LLMs and open-source models into enterprise applications.
- Develop AI pipelines that incorporate:
- Enterprise operational data (IoT, building systems, CHP/turbines)
- Market data (weather, commodity prices, grid signals)
- External contextual datasets
- Implement model evaluation, validation, and performance monitoring.
- Optimize models for latency, cost, and production scalability.
Platform Integration:
Embed AI models into a SaaS platform architecture.
Build APIs and services to expose model outputs to applications and dashboards.
Ensure secure, multi-tenant data handling and model isolation.
Collaborate with data engineers to structure clean, model-ready datasets.
Full Stack Development:
- Develop backend services (Python, Node, or similar).Build or contribute to front-end interfaces (React or similar frameworks).Create scalable cloud infrastructure (AWS, Azure, or GCP).Implement CI/CD workflows and MLOps best practices.
- Design schemas and performance queries for SQL database managementAI Strategy & Application
- Translate business problems into model architectures.
- Evaluate when to use:
- Fine-tuned models vs. RAGOpen-source vs. proprietary LLMsClassical ML vs. deep learning
- Analytical tools vs. reasoning models
- Contribute to the roadmap for AI agents and automation tools within InSite.
Required Qualifications:
3+ years experience in AI/ML development
Strong proficiency in:
- Python (PyTorch, TensorFlow, scikit-learn, numpy, pandas, Django)LLM integration and prompt engineeringSQL databases and RAG architectures
- Experience integrating AI models with enterprise datasets
- Experience with open-source AI tools and frameworks
- Solid full-stack development skills:
- Backend API development
- Frontend frameworks (React or similar)
- Cloud deployment (AWS/Azure/GCP)
- Experience with containerization (Docker, Kubernetes)
- Understanding of model monitoring, drift detection, and production lifecycle
Preferred Qualifications:
- Experience in energy systems, building operations, CHP, turbines, microgrids, or IoTFamiliarity with time-series forecasting (load, demand, pricing)
- Experience working in Agile/Scrum environments
- Experience building AI agents or conversational systems
- Knowledge of energy markets, grid dynamics, or energy procurement analytics
- Experience working within multi-tenant SaaS environments