Clarity Innovations, Inc.

Product Designer

• As a UX Designer at Clarity Innovations, you will play a pivotal role in the success of our products.
• Join the design team and immerse yourself in the space domain working with the United States Space Force to develop a mobile and web friendly home for career, training and mission relevant information.
• Build user empathy through qualitative and quantitative research methods
• Synthesize findings and create actionable outcomes
• Advocate for end users in the application design development with research backed data
• Facilitate tailored product communication
• Monitor overall application look and feel

UX Designer

Controller

• Prepare Estimate At Completion (EAC) for all programs in the portfolio and review with PMs and leadership team on a monthly basis
• Prepare variance analysis and make recommendations for key financial metrics improvements
• Support operations monthly Program Management Reviews (PMRs) with financial data and analysis
• Support Accounting month-end close with program cost accrual analysis and EAC adjustments in accordance with ASC 606 revenue recognition standards
• Review detailed costs reports to ensure accuracy in recording
• Review monthly project costs and revenue, monitor actual cost and profit performance against plans/budgets, prepare variance analysis, reports, and present timely to project managers and stakeholders; identify areas for improvement
• Monitor contract funding, backlog and unbilled balances on a monthly basis, as well as track commitments, develop funding requirements projections and coordinate with contracts for required notifications on limitations and requests for additional funding
• Identify "at risk" funding and mitigation solutions
• Review invoices to ensure compliance with contract requirements
• Project Setup and People Assignments in Unanet in accordance with the contractual, financial compliance, and operational reporting requirements
• Participate in collaboration meetings to ensure project setup optimizes Unanet capabilities for project revenue, billing, and reporting requirements
• Support development of cost and price proposals for bids, ROMs and equitable adjustment requests
• Other duties as assigned

Program Controller – Products Mission Vertical

Marketing

• Creating, editing, and maintaining commercial and marketing materials to support sales and marketing initiatives
• Supporting content creation, including image and video assets for marketing initiatives
• Drafting and distributing newsletters to engage and nurture our audience
• Assisting in planning, coordinating, and executing marketing events, including logistics and promotional activities

Marketing Intern

AI Engineer

• Product-Centric Development: Designing and executing experiments to improve GenAI capabilities. This isn't just about 'accuracy' in a vacuum—it's about optimizing for user value, reliability, and cost-effectiveness.
• Evaluation Systems: Building the 'Golden Path' for quality. You will design and implement robust, multi-dimensional evaluation suites (e.g., using 'LLM-as-a-judge,' semantic checks, and unit tests) to ensure our features are production-ready and hallucination-resistant.
• Advanced RAG & Reasoning Optimization: Implementing and tuning advanced retrieval strategies (e.g., hybrid search, reranking, agentic retrieval) and optimizing complex reasoning loops (e.g., CoT, ReAct) to make our current and future agents smarter and more reliable.
• Production-Grade Model Tuning: Overseeing supervised fine-tuning (SFT) and Parameter-Efficient Fine-Tuning (LoRA) workflows to adapt models to our specific product domains.
• Performance & Cost Engineering: Balancing the 'Quality-Cost-Latency' triangle. You will find ways to maintain high-quality outputs while optimizing token usage and reducing inference latency.

Staff AI Engineer

Data Scientist

• Supporting the development and improvement of machine learning models used in sustainability analytics
• Cleaning, processing, and transforming large structured and unstructured datasets
• Conducting exploratory data analysis to identify trends, patterns, and anomalies in ESG and sustainability data
• Assisting in building data pipelines and analytical workflows to improve data quality and efficiency
• Collaborating with data scientists and engineers to test and evaluate model performance
• Creating visualizations and summaries to communicate analytical findings clearly
• Contributing to documentation and internal tools that improve data accessibility and reproducibility

Data Science Intern

Full-stack Engineer

• Serve as the team's Java subject matter expert, providing technical guidance, code reviews, and architectural input on Java-based components.
• Design and implement custom Apache NiFi processors to support UDM data processing and routing requirements.
• Lead and assist in the migration of existing analysis pipelines to NiFi-based workflows, ensuring continuity, correctness, and performance parity.
• Collaborate with data transport, platform, and infrastructure engineers to align pipeline design with enterprise standards.
• Troubleshoot complex integration issues across data pipeline stages, including format conversion, schema validation, and service connectivity.
• Contribute to technical documentation, architecture decision records, and pipeline design artifacts.
• Mentor junior and mid-level engineers on Java best practices, NiFi patterns, and integration design.
• Deliver within an Agile/Scrum framework, actively participating in sprint planning, backlog refinement, and technical reviews.

Principal Software Engineer

Platform Engineer

• GenAI Platform Engineering: Designing and developing the core platform that enables the efficient deployment, scaling, and management of LLMs and multi-agent systems.
• Infrastructure for Agents: Building specialized infrastructure to support long-running agentic workflows, including state management, tool-calling interfaces, and complex reasoning loops.
• High-Scale Productionization & Model Serving: Scaling inference for LLMs to handle global demand while optimizing for latency, throughput, and cost. Implement standard batch and online serving with controlled rollback.
• Build & Delivery: Establishing the "Golden Path" for model deployment through a self-service path to move code, data, and models to production safely and reproducibly, including automated evaluation frameworks, safety guardrails, and CI/CD/CT pipelines.
• Strategic Vision & Product Management: Continuously monitoring the AI ecosystem and proactively evolving our platform to maintain a competitive edge. This includes adopting best practices in Platform Product Management and driving the adoption of golden-path solutions.
• End-to-End Observability: Implementing deep observability for LLMs, tracking not just system health but providing unified visibility into health, impact, and root cause across data, ML, and GenAI (including model hallucinations, token usage, and RAG performance).
• Collaborative Foundation: Providing the tools and abstractions that allow Data Scientists and stakeholders to move from a "tuned model" to a "production service" with zero friction.