RESPONSIBILITIES:<br>ML Model Deployment & Platform Management<br>• Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints.<br>• Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments.<br>• Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance.<br>• Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines.<br>Generative AI & LLM Operations<br>• Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q& A, enabling business teams to query fund documents, investor letters, and market research.<br>• Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents.<br>• Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance.<br>• Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications.<br>• Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy.<br>• Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution.<br>Automation & CI/CD Pipelines<br>• Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles.<br>• Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools.<br>• Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
<p><strong>Job Title</strong></p><p>Senior Software Engineer</p><p><br></p><p><strong>Company Overview</strong></p><p>A leading investment management firm is focused on delivering innovative financial solutions through advanced technology and data-driven insights. The organization is investing heavily in modern engineering practices and emerging technologies, including artificial intelligence, to drive operational efficiency and competitive advantage. Their technology team plays a central role in building next-generation platforms that power critical business functions.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Senior Software Engineer will function primarily as a Full-Stack Software Developer with strong exposure to AI-driven applications and Salesforce integrations. Based in Los Angeles or New York this role will focus on building scalable applications, integrating AI capabilities, and connecting systems across the enterprise. This is a unique opportunity to join a growing AI-focused team and contribute to cutting-edge initiatives that shape the firm’s future technology landscape.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop full-stack applications supporting AI-enabled business workflows</li><li>Build and maintain integrations between Salesforce and internal/external systems using APIs</li><li>Develop backend services using ASP.NET Core, C#, Python, and SQL-based data models</li><li>Leverage AI technologies to automate processes, enhance data workflows, and improve decision-making</li><li>Implement and support integrations using modern protocols and patterns, including emerging standards for AI connectivity</li><li>Configure and extend Salesforce for workflow automation and data integration (not as a primary development focus)</li><li>Collaborate with stakeholders to gather requirements and translate them into technical solutions</li><li>Integrate with data platforms and support analytics workflows across structured and unstructured data sources</li><li>Contribute to system architecture, scalability, and performance improvements</li><li>Support production systems, troubleshoot issues, and implement long-term solutions</li></ul><p><strong>Compensation & Benefits</strong></p><ul><li>$180,000–$190,000, plus discretionary bonus</li><li>Comprehensive, competitive benefits package</li><li>Opportunity for long-term incentives and career growth within a high-performing team</li><li>Strong investment in innovation, technology, and employee development</li></ul><p><strong>Additional Details</strong></p><ul><li>Hybrid 2-3x onsite per week in Los Angeles or New York</li><li>Opportunity to be part of a newly forming AI-focused engineering team</li><li>High visibility role working closely with senior leadership</li><li>Fast-paced, collaborative environment driving cutting-edge initiatives</li></ul>
<p>We are seeking a motivated and resourceful Technical Support Engineer to join a growing engineering team supporting enterprise networking, cloud, storage, and media technology environments. This position is ideal for someone who enjoys troubleshooting complex technical issues, learning new technologies, and working collaboratively in a fast-paced environment.</p><p>The successful candidate will be a strong team player with excellent problem-solving skills, a methodical troubleshooting approach, and a desire to expand their technical expertise across multiple disciplines.</p><p>Key Responsibilities</p><ul><li>Provide technical support for enterprise networking and infrastructure environments</li><li>Troubleshoot network connectivity issues using a structured and logical methodology</li><li>Configure and support enterprise-grade networking equipment, including switches, routers, and firewalls</li><li>Monitor, diagnose, and resolve system and network incidents</li><li>Manage support tickets and escalate issues when appropriate</li><li>Participate in an on-call support rotation for critical infrastructure incidents</li><li>Assist with cloud, virtualization, storage, and containerized environments</li><li>Support file transfer and video streaming technologies</li><li>Collaborate with engineering teams on infrastructure improvements and operational initiatives</li><li>Contribute to automation and scripting efforts to improve efficiency</li></ul><p>For immediate consideration, direct message Reid Gormly on LinkedIn and APPLY NOW!</p>
<p>Full Stack Engineer</p><p>Location: Encino, CA (Primarily Onsite)</p><p>Compensation: $140,000–$160,000 Base Salary (DOE) + Bonus Incentives</p><p>Benefits:</p><ul><li>100% employer-paid Medical, Dental, and Vision coverage</li><li>Unlimited PTO</li><li>Flexible work hours (7–4, 8–5, 9–6, or 10–7)</li><li>Strong candidates may be considered for a hybrid schedule of 3 days onsite</li></ul><p>A growing digital media and technology organization is seeking a highly skilled Full Stack Engineer to join its engineering team. This role offers the opportunity to work on both new product development and ongoing enhancements to a large-scale digital platform, including premium subscription offerings and user-facing features.</p><p><br></p><p>Following a recent modernization of its web platform, the organization is continuing to expand its in-house engineering capabilities. The ideal candidate will thrive in a collaborative environment, take ownership of projects, and contribute to both front-end and back-end development efforts.</p><p>Responsibilities</p><ul><li>Lead the full software development lifecycle from concept through deployment</li><li>Design, build, test, and deploy scalable web applications and services</li><li>Own feature development from architecture through implementation</li><li>Maintain, optimize, and enhance existing production systems</li><li>Develop and maintain APIs and backend services</li><li>Architect intuitive and responsive front-end experiences</li><li>Collaborate closely with product, design, and engineering teams</li><li>Participate in code reviews and contribute to engineering best practices</li><li>Improve automated testing and deployment processes</li><li>Ensure applications are optimized for performance and scalability</li><li>Support cross-functional initiatives and contribute wherever needed</li></ul><p>What We're Looking For</p><p><br></p><p>The ideal candidate is a hands-on engineer who enjoys solving complex technical challenges, collaborating across teams, and building high-quality products that deliver meaningful impact. This role is well-suited for someone who combines strong technical expertise with a practical, team-first approach and a desire to contribute beyond their immediate responsibilities.</p><p><br></p><p>For immediate consideration, apply now and direct message Reid Gormly on LinkedIn</p>
<p><strong>Job Title</strong></p><p>Systems Engineer</p><p><br></p><p><strong>Company Overview</strong></p><p>A well-established organization in the media and entertainment sector, based in Los Angeles, California, is dedicated to supporting creative professionals and advancing industry standards through technology and innovation. The organization operates a highly collaborative environment where technology plays a critical role in enabling seamless operations and high-quality member services.</p><p><br></p><p><strong>Role Summary</strong></p><p>This on-site Systems Engineer role in Los Angeles, California is responsible for supporting and optimizing enterprise infrastructure across hybrid environments. Working closely with senior technology leadership, this position plays a key role in maintaining system reliability, enhancing performance, and contributing to infrastructure initiatives, including major storage and systems projects.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Support the design, implementation, and maintenance of infrastructure systems across on-premise and cloud environments</li><li>Administer and manage Microsoft 365 and cloud-based platforms, including identity and access management systems</li><li>Maintain backup, recovery, and disaster recovery processes to ensure business continuity</li><li>Monitor system performance, security, and reliability; recommend and implement improvements</li><li>Manage and support Windows and Linux servers, virtual machines, storage systems, and network components</li><li>Troubleshoot complex technical issues across systems, endpoints, and enterprise applications</li><li>Handle escalations from technical support teams and provide guidance and mentorship when needed</li><li>Maintain documentation and resolve incidents through a structured ticketing system</li><li>Contribute to infrastructure projects, including storage system migrations and system upgrades</li><li>Participate in after-hours support as needed to maintain operational continuity</li></ul><p><strong>Compensation & Benefits</strong></p><ul><li>$100,000 – $110,000 + discretionary bonus</li><li>Comprehensive medical, dental, and vision coverage</li><li>401(k) with employer match</li><li>Pension program in addition to retirement savings plan</li><li>Flexible spending accounts and life insurance</li><li>Paid time off and sick leave</li><li>Long-term disability coverage</li><li>Additional employee perks and wellness offerings</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: 100% on-site</li><li>Standard business hours with occasional after-hours support</li><li>Hands-on role with opportunities to contribute to key infrastructure initiatives</li></ul>
<p><strong>Job Title</strong></p><p>Senior Infrastructure Engineer</p><p><br></p><p><strong>Company Overview</strong></p><p>A well-established technology consulting firm based in Santa Barbara, California specializes in delivering tailored IT solutions to small and mid-sized businesses. The organization is dedicated to helping clients leverage technology to improve operations, enhance security, and support long-term growth through a high-touch, service-oriented approach. With a collaborative and engaging culture, the company emphasizes innovation, client success, and continuous learning.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Senior Infrastructure Engineer is a highly client-facing, technical leadership role responsible for managing and optimizing client IT environments across Santa Barbara, California and surrounding areas. This position plays a critical role in designing, implementing, and supporting infrastructure, cloud, and security solutions while serving as a trusted advisor to business stakeholders. The ideal candidate thrives in dynamic environments, takes ownership of complex technical challenges, and delivers exceptional client experiences.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Own and manage client IT environments end-to-end, including design, implementation, maintenance, and escalation support</li><li>Lead technical projects from planning through execution, ensuring timely and successful delivery</li><li>Design and implement cloud, infrastructure, and security solutions aligned to client needs</li><li>Serve as a strategic advisor to clients, recommending improvements and technology roadmaps</li><li>Install, configure, and support networks, servers, cloud platforms, and endpoint systems</li><li>Monitor system health, manage backups, apply updates, and ensure security best practices</li><li>Troubleshoot and resolve complex technical issues across infrastructure, applications, and networks</li><li>Provide clear communication to both technical and non-technical stakeholders, including executives</li><li>Mentor junior team members and collaborate across technical teams</li><li>Maintain documentation, track work progress, and ensure high service quality standards</li></ul><p><br></p><p><strong>Compensation & Benefits</strong></p><ul><li>$100,000 - $150,000</li><li>Performance-based bonuses and incentive opportunities</li><li>Comprehensive benefits package including medical, dental, vision, and life insurance</li><li>Retirement plan with employer contribution</li><li>Paid time off and company holidays</li><li>Professional development support, including training and certifications</li><li>Additional perks such as wellness benefits, team events, and employee recognition programs</li></ul><p><strong>Additional Details</strong></p><ul><li>Hybrid with a mix of on-site client work and office collaboration</li><li>Client-facing position requiring regular travel to support regional clients</li><li>Fast-paced, collaborative environment with strong emphasis on autonomy and accountability</li></ul>
We are looking for a Data Engineer to help transform business data into reliable, accessible insights that support decision-making across the organization. This role partners with teams such as asset management, acquisitions, accounting, and HR to build reporting solutions, improve data quality, and streamline access to critical information. Based in Los Angeles, California, the position is well suited for someone who enjoys combining technical expertise with business collaboration in a fast-moving environment.<br><br>Responsibilities:<br>• Build and enhance dashboards, reports, and automated data workflows using tools such as Python, Excel, and Power BI.<br>• Translate business questions into scalable reporting and analytics solutions by working closely with stakeholders across multiple departments.<br>• Examine large and complex datasets to uncover trends, exceptions, and actionable insights that support operational and strategic decisions.<br>• Design and maintain data extraction, transformation, and loading processes, including query development and performance optimization.<br>• Monitor data accuracy through regular validation, issue resolution, and ongoing improvements to data governance practices.<br>• Support and guide entry-level BI team members by reviewing work, sharing best practices, and encouraging career growth.<br>• Explain technical findings in a clear way to non-technical audiences to promote understanding and adoption of data solutions.<br>• Lead or contribute to cross-functional initiatives that improve data accessibility, usability, and reporting effectiveness across the business.<br>• Administer BI platforms to maintain performance, reliability, and appropriate security controls.<br>• Deliver user support and training to help employees make effective use of reporting tools and interpret data confidently.
<p>IT Generalist / Systems & Network Engineer (Onsite – Beverly Hills Area)</p><p><br></p><p>A growing boutique IT consulting firm is seeking a highly skilled IT Generalist to provide white-glove technology support for a high-profile client in the Beverly Hills area. This role is ideal for a well-rounded technical professional who thrives in fast-paced environments, enjoys direct client interaction, and can confidently manage systems, networks, and end-user support.</p><p><br></p><p>This position is fully onsite and requires a consultative, customer-focused mindset. The ideal candidate is equally comfortable troubleshooting executive-level workstation issues, managing cloud platforms, and designing network solutions.</p><p>Candidates with experience in Managed Service Provider (MSP) environments or those who have served as the primary IT resource for an organization are highly encouraged to apply.</p><p><br></p><p>Key Objectives</p><ul><li>Provide efficient, thorough support for a dynamic client environment.</li><li>Maintain critical IT systems, including workstations, security tools, SaaS applications, file services, email platforms, networking equipment, and server infrastructure.</li><li>Implement and maintain backup, security, and business continuity solutions.</li><li>Automate repetitive tasks and leverage technology to improve operational efficiency.</li><li>Assess existing technology environments and proactively identify improvements.</li><li>Collaborate directly with business stakeholders to understand needs and deliver effective solutions.</li><li>Contribute to a team culture focused on knowledge sharing and continuous improvement.</li></ul><p>Responsibilities</p><ul><li>Resolve advanced desktop and end-user support issues across Windows and macOS environments.</li><li>Manage user accounts and permissions across cloud services and business applications.</li><li>Architect, deploy, and troubleshoot network infrastructure, including routers, switches, wireless systems, and firewalls.</li><li>Build and maintain strong relationships with client stakeholders.</li><li>Coordinate with third-party vendors and oversee technical implementations.</li><li>Create and maintain clear technical documentation.</li><li>Support identity and access management initiatives.</li><li>Assist with endpoint management and device deployment strategies.</li></ul><p><br></p><p><br></p><p>Ideal Candidate Profile</p><p><br></p><p>You are a technology generalist who enjoys solving complex problems, working directly with people, and taking ownership of environments from endpoint to infrastructure. You can seamlessly transition between desktop support, systems administration, cloud services, networking, and project work while maintaining a professional, customer-first approach.</p><p><br></p><p>For immediate consideration, direct message Reid Gormly on LinkedIn and Apply now!</p>
We are looking for a Data Engineer to support a long-term contract assignment in Beverly Hills, California. This position focuses on preparing, validating, and organizing access-related data to help deliver reliable site deployments and ensure accurate user provisioning across connected systems. The role works closely with Facilities, Identity, Security, and vendor teams to improve data quality, support implementation activities, and maintain consistent rollout processes across locations.<br><br>Responsibilities:<br>• Collaborate with Facilities and cross-functional partners to collect, cleanse, and verify access control information before deployment activities begin.<br>• Reconcile user, badge, and permission records across legacy tools, Workday, Active Directory, and related platforms to maintain consistent data alignment.<br>• Build and validate migration files, import templates, and assignment lists needed for loading records into Genea and associated systems.<br>• Execute data upload activities with internal stakeholders and external vendors, then perform detailed checks to confirm completeness and accuracy.<br>• Translate site and business access needs into structured mappings that connect users with the appropriate access groups and permissions.<br>• Coordinate with Identity and Security teams to ensure access group design aligns with Active Directory, Okta, and established governance standards.<br>• Support go-live and cutover efforts by preparing final data sets, applying last-minute updates, and assisting teams during rollout windows.<br>• Maintain clear documentation for templates, mappings, validation steps, and repeatable processes while incorporating lessons learned for future deployments.<br>• Provide post-launch support by troubleshooting data issues, correcting access assignments, and helping sites transition into steady-state operations.
We are looking for a Machine Learning Engineer to build and support production-ready AI systems in Los Angeles, California. This position focuses on creating reliable machine learning infrastructure, enabling scalable model operations, and advancing generative AI solutions that improve access to business-critical information. The ideal candidate will combine strong platform engineering skills with hands-on experience deploying models, automating workflows, and maintaining high standards for quality, governance, and performance.<br><br>Responsibilities:<br>• Build and maintain scalable machine learning infrastructure in Databricks, including experiment tracking, model management, and serving capabilities for production use.<br>• Create and improve MLOps frameworks and automated deployment pipelines that support model release, monitoring, and lifecycle management.<br>• Establish disciplined processes for model version control, retraining, and artifact governance using tools such as Unity Catalog.<br>• Develop and administer a feature store strategy that keeps training and inference data consistent across machine learning workflows.<br>• Design retrieval-augmented generation solutions that allow internal teams to search and interact with documents such as fund materials, investor communications, and research content.<br>• Implement and manage vector search platforms to support semantic retrieval across large collections of enterprise documents.<br>• Customize and fine-tune large language models using proprietary datasets while protecting data privacy and meeting compliance expectations.<br>• Build document ingestion and transformation pipelines that handle parsing, segmentation, and embedding creation for generative AI applications.<br>• Introduce prompt design standards, evaluation methods, and application safeguards to improve response quality, reduce hallucinations, and provide source-backed outputs.<br>• Automate training, testing, orchestration, and deployment workflows through CI/CD pipelines and tools such as Databricks Workflows, GitHub Actions, Azure DevOps, Airflow, or Prefect.
<p>We are looking for an experienced Application Developer to support enterprise business intelligence and reporting initiatives in Southern California. This Long-term Contract position will focus on building governed reporting solutions, developing modern dashboards, and translating complex data into clear insights for business stakeholders. The role also contributes to dashboard modernization efforts, advanced database development, and high-quality analytics delivery across warehouse and lake house environments.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain enterprise reports, dashboards, and analytical products that support strategic and operational decision-making.</p><p>• Create and manage semantic models, including business metrics, hierarchies, prompts, and security rules, to ensure consistent reporting standards.</p><p>• Write and optimize advanced SQL for warehouse and lakehouse platforms, using joins, CTEs, stored procedures, and other complex query techniques.</p><p>• Partner with data engineering teams to design curated datasets, aggregation structures, and performance-focused data assets for reporting use cases.</p><p>• Investigate and resolve data quality issues by profiling source data, validating results, and reconciling discrepancies across reporting layers.</p><p>• Apply dimensional modeling and modern data warehousing principles to align reporting solutions with governed enterprise architecture.</p><p>• Lead the transformation of legacy BI outputs into modern web-based dashboards while preserving calculation accuracy, filtering logic, and drill functionality.</p><p>• Use approved AI-assisted development tools to accelerate report creation, documentation, validation, and dashboard modernization with strong human oversight.</p><p>• Support security validation, regression testing, and production readiness activities before releasing reporting solutions to end users.</p>
We are looking for a Senior Developer to support analytics and reporting initiatives for studio-focused stakeholders in Glendale, California. This Long-term Contract position centers on building scalable data models, executive-facing dashboards, and web-based reporting tools that turn complex operational information into clear business insight. The role blends hands-on development with close partnership across technical and business teams, requiring someone who can translate evolving needs into reliable, high-performing solutions.<br><br>Responsibilities:<br>• Design, build, and enhance dashboards, reporting products, and data visualizations that support operational teams and executive decision-making.<br>• Develop and maintain MicroStrategy reporting assets while improving usability, accuracy, and overall system performance.<br>• Create and evolve custom web-based analytics applications using React to deliver modern reporting experiences.<br>• Convert business questions into technical specifications for data models, visual layers, and underlying database structures.<br>• Support the modernization of legacy analytics solutions by moving selected reporting capabilities into a React-based framework.<br>• Apply AI-assisted development tools to speed up prototyping, documentation, and coding tasks while preserving quality and review standards.<br>• Partner with architects and technical leads to introduce new development practices, technology approaches, and scalable reporting solutions.<br>• Optimize semantic models, queries, and reporting performance to ensure dependable and efficient analytics delivery.<br>• Collaborate effectively with distributed teammates and end users to refine requirements, troubleshoot issues, and deliver useful reporting outcomes.