Design, build, deploy, and support AI agents, copilots, and automations using Microsoft Copilot Studio, Azure, Python/C#, and APIs.
Partner with business stakeholders to translate ambiguous needs into secure, scalable, and maintainable technical solutions.
Apply SDLC, governance, security, and testing practices to deliver production-quality AI solutions.
IMA Financial Group is an independent insurance brokerage offering business insurance, employee benefits, and wealth management solutions. The company is a growing, nationally recognized firm with an entrepreneurial, employee-owned culture.
Build and harden production AI solutions, including RAG and knowledge graph-based member experiences.
Serve as technical counterpart to AI vendors, reviewing designs/code and leading knowledge transfer to insource work.
Implement MLOps/LLMOps, data pipelines, and engineering standards for reliable, secure AI systems.
ISACA champions the global workforce advancing trust in technology through knowledge, credentials, training, and networking. With over 195,000 members and 230 chapters worldwide, ISACA supports careers in security, governance, assurance, risk, privacy, and emerging tech.
Design, build, and productionize machine learning and agentic AI functionality.
Partner with product engineering squads to embed AI capabilities into Arkestro's product.
Contribute to AI/ML architecture decisions and own evals and ground truth for your projects.
Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations, helping teams move from reactive supplier bidding to data-driven offers. It is a hyper-growth, remote-first startup with a collaborative culture focused on meaningful work and significant impact.
Lead CBM+ AI/ML initiatives from concept through production deployment, aligning technical solutions with mission and business objectives.
Architect scalable data pipelines, including ingestion, ETL/ELT, feature engineering, and validation for production workflows.
Provide technical leadership, mentoring junior engineers and guiding best practices for model development, MLOps, and secure deployment.
Redhorse Corporation is a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. They foster a collaborative culture of trusted partners and skilled professionals who thrive on building technology-agnostic solutions.
Build AI applications, agents, skills, connectors, and workflow automations that solve business problems.
Translate ambiguous business needs into AI-native workflows and own engineering from discovery to production launch.
Work closely with internal teams to embed AI solutions and drive measurable gains in quality, speed, and cost.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and about 130 million daily active visitors, it is one of the internet's largest sources of information.
Design, build, and deploy production ML and LLM-based systems for enterprise clients
Own technical delivery end-to-end, from architecture to deployment and monitoring
Mentor junior ML engineers and shape internal best practices and tooling
TensorOps is a boutique AI consultancy that bridges strategy and execution, designing and shipping production-grade AI systems for enterprise clients. We are a 100% remote, fast-growing team that values autonomy, open communication, and continuous learning.
Designs and deploys scalable AI/ML models for predictive analytics and intelligent decision-support systems.
Integrates AI solutions into secure enterprise environments with compliance to federal cybersecurity standards.
Provides oversight of MLOps, model validation, and bias mitigation practices.
M9 Solutions provides IT services and solutions to the Federal Government, with capabilities including Data Delivery & Analytics, Cyber Security, and Cloud Migration. With over 15 years of growth and past performance, they have supported more than 30 Federal Agencies and multiple commercial customers nationwide, fostering a fun and rewarding culture.
Design, deploy, and optimize large-scale ML systems for retrieval, ranking, and LLM-powered features.
Lead ML projects from concept to production, improving answer relevance and user experience.
Collaborate with Product, Data Science, and Engineering teams to shape technical direction.
The hiring partner is a technology company focused on building advanced AI systems that help users discover relevant answers from large collections of online conversations. It values innovation, collaboration, and responsible AI development, offering a remote work environment within the United States.
Apply clustering, classification, and anomaly detection techniques to cybersecurity data problems in the ICS/OT domain.
Integrate ML model outputs into data pipelines and product workflows, supporting batch and near-real-time processing.
Write clean, maintainable Python or Rust code and troubleshoot ML component behavior in production.
Dragos is the global leader in operational technology (OT) cybersecurity, combining technology, threat intelligence, and expert services to protect critical infrastructure. The company is a remote-first mission-driven team across North America, Europe, the Middle East, and APAC, built on authenticity, transparency, and trust.
Serve as the technical engineer deploying AI security solutions in customer environments, translating requirements into scalable architectures.
Partner with cross-functional teams to integrate AI security controls, secure pipelines, and operationalize guardrails for LLMs and agentic workflows.
Develop reusable deployment patterns, support technical proposals, and mentor engineers to accelerate AI security implementations.
AHEAD builds platforms for digital business, helping enterprises deliver on digital transformation through cloud infrastructure, automation, and analytics. They prioritize a culture of belonging and equal opportunity, with a diverse and inclusive workplace.
Build and maintain shared agent tools and capabilities in production.
Configure prompt agents and customize tools for each use case.
Deploy agents, monitor fleet health, and optimize in production.
EQT builds a fleet of AI agents that work alongside our people. The company emphasizes transparent leadership, connected impact, and supported growth, fostering a collaborative culture where every voice is heard.
Develop, train, and optimize machine learning models using Python and common ML libraries.
Support data preprocessing, feature engineering, and CI/CD integration for scalable ML solutions.
Collaborate with data engineers and stakeholders in an Agile environment to align ML solutions with business needs.
Makpar is a professional and technical solutions provider for the Federal government, specializing in cloud engineering, data management, cybersecurity, and emerging technologies. The company's connected and engaged workforce is dedicated to delivering success for clients and the American people.
Lead the design, development, and deployment of enterprise AI solutions, architecture, and governance.
Collaborate with IT, data, cybersecurity, and business teams to build AI applications and copilots.
Integrate manufacturing data for predictive maintenance, quality improvement, and process optimization.
Jobgether uses AI to match candidates with job opportunities. This position is listed on behalf of a partner company, who manages all applications and next steps. The role offers remote flexibility and full-time work within the United States.
Design, build, and maintain agentic features across products from early prototype to scaled production.
Develop thorough evaluation frameworks covering accuracy, grounding, latency, and reliability using offline evaluations and real-world signals.
Embed privacy-by-design principles across the AI stack ensuring compliance and secure handling practices.
Osano is a leading data privacy platform that helps organizations comply with laws like GDPR, CCPA, and other global privacy regulations. The company is a B-corporation with a mission to make privacy a fundamental right, backed by top-tier investors and recognized as a Great Place to Work for four years running with 97% of employees saying it's a great place to work.
Independently build, test, and improve LLM, RAG, and tool-using agent workflows using maintainable, tested Python code.
Apply established evaluation frameworks to select technical approaches and diagnose retrieval misses, incorrect answers, and workflow failures.
Communicate findings and technical tradeoffs to engineering, product, and domain partners to support production reliability.
Definitive Healthcare turns data, analytics, and expertise into meaningful healthcare intelligence for smarter decisions. With over 2,400 customers globally and multiple workplace honors, it fosters a collaborative, inclusive culture.
Design, build, and operate data pipelines across the Accelerator's medallion architecture, ensuring data quality and versioned schema contracts.
Develop and operate ML and NLP enrichment pipelines, including language identification, translation, and classification at scale.
Collaborate with research teams to define data products and provide direct technical support on the platform.
Princeton University is a leading Ivy League institution that advances education and research across disciplines. Its Accelerator supports computational social scientists with a shared data and compute platform, fostering a collaborative and innovative environment.
Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows.
Develop backend services, APIs, and application architectures that integrate AI capabilities into enterprise systems.
Deploy AI solutions into production with appropriate security, observability, monitoring, evaluation, and governance.
We are a market-leading data, AI, analytics, and operations research advisory and solution engineering firm. We help organizations design, build, and operationalize enterprise-grade data and AI platforms with production-grade engineering discipline.
Design and evolve the AI Platform architecture for agentic systems, MCP integration, and model gateway.
Guide engineering teams through architectural decisions and hands-on mentorship.
Partner with product to turn roadmaps into scalable platform designs and standards.
PointClickCare is a leading health tech company providing a cloud platform for long-term and post-acute care, with 30,000+ provider organizations and a large partner marketplace. It is founder-led, privately held, and recognized as one of Canada's Most Admired Corporate Cultures.
Serve as senior security engineering partner for AI product initiatives, working side by side with AI engineers from architecture through production.
Design, build, and secure AI-enabled applications, including agents, MCP servers, RAG pipelines, and cloud foundations with identity, data protection, and observability.
Partner with Privacy, Compliance, and Legal to meet healthcare security requirements, and coach developers on secure paved-road patterns.
Abacus Insights is transforming how data and AI work for health plans, helping them break down data silos to create a trusted data foundation. Backed by $100M from top investors, the company is collaborative, bold, and curious, embracing the thoughtful use of AI and automation.