Upslope Advisors is an 8(a) certified business consulting and professional services firm dedicated to delivering high-impact solutions to federal clients. They are seeking an AI Developer/Engineer to design, build, evaluate, deploy, and sustain production AI and machine-learning solutions for a federal civilian agency.

Responsibilities:

Design, develop, train, evaluate, and optimize artificial intelligence and machine-learning models
Build production retrieval-augmented generation applications, advanced chatbots, document-processing services, predictive models, and automation tools
Select appropriate models, algorithms, embeddings, vector stores, and retrieval strategies
Develop model-performance metrics and document experiments, assumptions, limitations, and results
Support the development of fraud-detection, forecasting, public-sector analytics, and other mission-focused AI capabilities
Evaluate model accuracy, groundedness, hallucination risk, bias, drift, reliability, security, and overall performance
Implement model guardrails, human-in-the-loop controls, logging, and operational monitoring
Conduct prompt testing, retrieval-quality testing, hallucination testing, and performance validation
Identify model limitations and recommend appropriate technical or operational controls
Support continuous evaluation and improvement of deployed AI solutions
Develop Python-based artificial intelligence, data-processing, and API services
Perform data preprocessing, feature engineering, statistical analysis, and data-quality validation
Work with large and complex datasets from multiple structured and unstructured sources
Integrate AI and machine-learning models into full-stack applications and enterprise technology platforms
Support front-end, middleware, database, API, and back-end integration
Refactor and onboard externally developed AI applications into controlled enterprise environments
Develop infrastructure as code using Terraform or comparable tools
Build and maintain Git-based continuous integration and continuous delivery pipelines
Implement automated testing, deployment controls, and release-management processes
Integrate observability, alerting, performance monitoring, and model-monitoring capabilities
Support the deployment and operation of AI applications in secure cloud and enterprise environments
Troubleshoot application, model, data, integration, and production-performance issues
Prepare architecture, build, operating, security, model, and user documentation
Document models, experiments, processes, technical decisions, assumptions, and limitations
Collaborate with product owners, data scientists, software engineers, cloud engineers, security teams, and customer stakeholders
Support demonstrations, technical reviews, knowledge transfer, and user adoption activities
Support accessibility, security authorization, data-governance, and continuous-monitoring activities

Requirements:

Bachelor's or master's degree in computer science, artificial intelligence, machine learning, data science, or a related field
Five to ten years of relevant software-development, data-science, or AI and machine-learning engineering experience
Strong proficiency in Python
Demonstrated experience designing and deploying machine-learning solutions
Experience integrating AI and machine-learning models into production applications
Strong understanding of model evaluation, optimization, testing, and performance measurement
Experience working with large and complex datasets
Experience with data preprocessing, feature engineering, statistical analysis, and data-quality validation
Experience with Git, continuous integration and continuous delivery, automated testing, and infrastructure as code
Experience integrating monitoring or observability tools into AI systems
Familiarity with deep-learning frameworks and modern AI and machine-learning tools
Ability to document models, experiments, processes, and technical decisions
Strong analytical, troubleshooting, communication, and collaboration skills
U.S. citizenship is required
The selected candidate must be able to obtain and maintain a federal public trust determination
Production experience with Azure AI Foundry, Azure OpenAI, Azure Machine Learning, AWS SageMaker, GCP Vertex AI, or comparable platforms
Experience developing retrieval-augmented generation applications, vector-search solutions, and advanced chatbots
Experience with embeddings, vector databases, retrieval strategies, and document-ingestion pipelines
Experience with prompt engineering, large language model evaluation, guardrails, drift monitoring, and hallucination testing
Experience with ServiceNow AI, Microsoft 365 Copilot, Salesforce Einstein, or comparable enterprise AI tools
Experience supporting federal cloud environments and FedRAMP requirements
Knowledge of National Institute of Standards and Technology controls and federal security-authorization processes
Experience working with Controlled Unclassified Information or personally identifiable information
Experience developing accessible applications that meet Section 508 requirements
Experience supporting disaster-response, grants, fraud-detection, forecasting, or public-sector analytics programs
Existing favorable federal background investigation

Tableau Developer

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