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Job DescriptionAbout GoodLeap:GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. About The Role We’re looking for a passionate and experienced Principal AI Agent Engineer to join our team that owns the core of our payments technology. In this role, you’ll help design, build, and scale both our payments platform and customer-facing payment products, ensuring they are secure, reliable, and performant. You’ll collaborate closely with product managers, designers, and fellow engineers to deliver seamless payments experiences that power every transaction. At the heart of this role is helping to shape and execute our AI strategy with Agents powered by LLMs and other AI technologies. You’ll explore and implement how intelligent agents can transform payments — from automating complex workflows to delivering personalized and adaptive product experiences. You’ll balance near-term product needs with building long-term platform capabilities that enable innovation at scale. Key Responsibilities • Design and lead backend architecture that supports AI/ML-powered features across Web, Mobile, SMS/Voice, and API surfaces, • Own end-to-end technical strategy for embedding LLMs, embedding stores, MCP Servers, and personalized content delivery, • Architect and implement agentic workflows, enabling LLM-powered Agents to orchestrate tools, APIs, and data sources to deliver intelligent, adaptive payment experiences, • Partner with product and design to scope features, validate feasibility, and ensure execution aligns with business impact, • Build tools and services (including MCP Server integrations) to help other team members experiment and ship AI-enhanced features responsibly and efficiently, • Influence engineering standards and promote excellence in observability, performance, and security, • Mentor engineers across teams, helping them level up in areas of backend architecture, AI integration, and delivery quality, • Collaborate with cross-functional partners across QA, Mobile, Data, Product, and Marketing Required Qualifications, • 8+ years of experience in backend development, with at least 2+ years working with AI/ML solutions or LLMs, • Experience developing and deploying MCP Servers and working with the Model Context Protocol ecosystem, • Hands-on experience designing and implementing agentic workflows using LLMs, including orchestration across APIs, tools, and data sources, • Experience working with vector databases, embeddings, and semantic search, • Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools, • Strong experience in one or more of the following languages: Node.js, Python, C#, TypeScript, • Strong experience designing and building APIs, including REST, GraphQL, gRPC, and event-driven architectures (e.g., Webhooks, Pub/Sub, Kafka), • Strong experience with cloud architecture on at least one major provider (AWS, GCP, or Azure) Preferred Qualifications, • Experience with frameworks for Agent orchestration (e.g., LangChain, Semantic Kernel, Haystack, or custom-built frameworks), • Familiarity with Retrieval-Augmented Generation (RAG) patterns in production systems, • Knowledge of payments infrastructure, PCI compliance, and financial-grade security practices is a plus, • Track record of technical leadership, including mentoring and influencing engineering culture Preferred Skills, • Experience with AWS Bedrock Soft Skills & Cultural Fit, • Strong collaboration skills with a willingness to mentor junior developers and contribute to code reviews, • Problem-solving ability: capable of breaking down complex problems and taking ownership of tasks from start to finish

Job DescriptionWho We Are: At Emburse, you’ll not just imagine the future – you’ll build it. As a leader in travel and expense solutions, we are creating a future where technology drives business value and inspires extraordinary results. Our AI-powered platform helps organizations modernize financial operations, increase visibility, and optimize spend across the enterprise. Emburse SDETs contribute to the development of an engaging and interconnected set of system solutions. As an engineer, you will enhance the experiences of your customers, solve interesting challenges, and design new solutions. Emburse, known for its innovation and award-winning technologies, is strong on engineering. This ensures you will have access to the best and brightest minds in our industry to grow your experience and career within Emburse.What you will do : • Technical, • Data testing & validation: Design, implement and maintain unit, integration, regression, pipeline, acceptance and data-quality tests for ETL/ELT jobs, streaming pipelines and data services (batch and real-time)., • Automation: Build and own test automation frameworks and test harnesses for data pipelines (e.g., Python/pytest, dbt tests, Great Expectations), including synthetic dataset generators, golden datasets and fixture management., • Data systems: Deep experience testing data platforms and tooling: cloud data systems (Snowflake, BigQuery, Redshift, Microsoft Fabric), relational databases (MS SQL) and cloud providers like Azure , orchestration tools (Airflow), and columnar file formats (Parquet, Avro, ORC)., • SQL & code: Expert in SQL for analytical validation and in at least one programming language used for data engineering such as Python. Build scripts, tools and automation to validate schema, data lineage, transformations, aggregation correctness, null/missing value handling and performance characteristics., • Observability & monitoring: Implement automated checks and alert logic for data freshness, schema drift, volume anomalies and metric regressions using observability/data quality tools (e.g., Great Expectations, Monte Carlo, custom monitoring)., • Performance & scale testing: Design and run performance, throughput and scalability tests for pipelines and data services; profile and tune ETL jobs and queries to identify bottlenecks., • Data contracts & governance: Work with engineering and product teams to enforce data contracts, contract tests for data APIs, and validate PII handling, access controls and compliance requirements., • Debugging & triage: Investigate, reproduce and document data defects, root causes and remediation plans; apply production debugging skills against ETL jobs, queries and logs., • Process, • Follow SDLC and agile practices, including writing and reviewing tests as code, peer code reviews, CI/CD pipeline integration of tests, and release gating based on automated data quality checks., • Maintain and follow coding and test case management standards; ensure test suites are deterministic, reproducible and fast enough to run in CI and nightly/rolling regression schedules., • Own quality for analytics deliverables and data platform features within your area. Establish test strategies and define appropriate test coverage for pipelines, models and metrics., • Drive improvements in data quality and reliability through automation, test architecture, and proactive detection of data problems., • Contribute to data documentation (data dictionaries, lineage diagrams, assumptions) and raise the bar for data governance and observability across teams., • Communication, • Collaborate with Data Engineers, Analytics Engineers, Data Scientists, Product Managers and Platform Engineers to design tests and validate business logic in analytical pipelines., • Explain technical tradeoffs, testing coverage and risk to non-technical stakeholders and suggest pragmatic compromises when necessary., • Produce clear, evidence-based defect reports and remediation plans; participate in post-mortems focused on data incidents.Education & Experience :, • Education:, • Required: 4+ years of testing or SDET experience with a strong emphasis on data systems and analytics. Demonstrated experience writing tests for data pipelines, validating analytical outputs, or building test frameworks for ETL/ELT processes., • Required: Proficiency in SQL and at least one general-purpose programming language used for data processing (Python preferred; Scala/Java acceptable)., • Required: Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift), and familiarity with at least one orchestration or streaming technology (Airflow, Kafka, Spark)., • Preferred: Experience with dbt, data observability platforms (e.g., Monte Carlo), data modeling, and analytical/BI tools (Looker, Tableau, PowerBI, etc.). Experience testing ML models, A/B test validation, or statistical methods is a plus., • Experience within Travel industryWhat we are looking for :, • Strong SQL skills for complex analytical validation: joins, window functions, aggregation correctness and performance tuning., • Proficient in Python for test automation, data manipulation (pandas/pyarrow), and building test harnesses., • Demonstrable experience designing automated data quality checks and defining acceptance criteria for analytics deliverables., • Experience with CI/CD systems (GitHub Actions, Jenkins, CircleCI) and integrating test runs into pipelines., • Familiarity with data formats (JSON, Avro, Parquet) and schema evolution strategies., • Solid understanding of distributed data processing, consistency, eventual consistency tradeoffs, and data lineage., • Ability to reason statistically about datasets—detecting outliers, sampling strategies, and validating model/metric correctness., • Excellent debugging skills across code, SQL, job logs and metadata; ability to produce reproducible test cases and remediation paths.

Job DescriptionSiepe is a fast-growing technology company headquartered in Dallas, TX – focused on helping investment managers turn complexity into clarity. We build software and data solutions that give hedge funds and financial services firms the visibility, speed, and confidence they need to make better decisions – faster. Our platform delivers a unified source of truth that empowers our clients with real-time, actionable insights. We don’t just serve the industry – we help modernize it! Siepe is profitable, privately held, and growing fast. We offer more than just competitive pay and great benefits—we offer the chance to do impactful work alongside sharp, driven teammates in a culture that rewards curiosity, initiative, and follow-through. Whether you come from finance, tech, or are charting a new path, you’ll find meaningful problems to solve, real ownership, and the momentum to grow your career with purpose. We’re looking for a technically fluent, client-facing Sales Engineer who thrives in fast-moving environments and can translate complex investment-management requirements into clear, executable solutions. This role sits at the center of Sales, Product, and Implementation, owning technical discovery, demo configuration, and scoping to ensure every new client engagement starts with clarity, confidence, and precision. What You'll Be Doing • Partner with Sales to lead technical discovery and solution design for prospective clients., • Configure and deliver tailored demos that highlight Siepe’s platform, workflows, and integrations., • Translate business, operational, and reporting requirements into clear technical scope and documentation., • Identify data sources, integration points, and dependencies across client systems., • Act as the technical liaison between clients, Product, and Implementation teams., • Support pricing, timelines, and feasibility assessments during the sales cycle., • Contribute to RFP responses, due diligence, and complex deal support., • Capture recurring requirements to inform product enhancements and scalable standards. What You’ll Bring, • Bachelor’s degree in Computer Science, Engineering, Finance, or a related field., • 4+ years of experience in Sales Engineering, Solutions Engineering, or Implementation within FinTech, SaaS, or financial services., • Strong understanding of investment operations, data flows, and front-to-back workflows., • Ability to translate business needs into technical requirements and system designs., • Proficiency with SQL, data mapping, and API-based integrations preferred., • Excellent written and verbal communication skills with both technical and non-technical stakeholders., • Highly organized, detail-oriented, and comfortable managing multiple complex engagements simultaneously.

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity We are looking for a Senior Sales Engineer - AI to join our team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey. This position is based in Dallas, Texas. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Execute high-impact proof of value that moves beyond technical feasibility to demonstrate ROI, such as cost per token or measurable accuracy gains in production using H2O AI Enterprise Platform: Predictive, Generative, and Agentic AI, • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluations, RAG, and Agentic pipelines., • Design and build sophisticated Agentic Workflows, beyond simple RAG to multi-agent systems that can reason, use tools, and execute complex business logic autonomously., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Architect integrated solutions that leverage the full H2O stack: using Driverless AI for predictive features, h2oGPTE for unstructured data synthesis, • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure their applications are production-ready., • Work closely with Product Management to influence the product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Master the art of technical storytelling, the ability to whiteboard a complex Kubernetes deployment for an IT Director, then pivot to explaining the risk-mitigation benefits of 'Guardrails' to a Chief Risk Officer., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR Udz4nhSBg9

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, and they are seeking a Business Intelligence Engineer to join their Enterprise Support Strategy and Ops team.The role involves driving revenue and growth through data analysis, developing metrics and da

Job DescriptionSiepe is a fast-growing technology company headquartered in Dallas, TX – focused on helping investment managers turn complexity into clarity. We build software and data solutions that give hedge funds and financial services firms the visibility, speed, and confidence they need to make better decisions – faster. Our platform delivers a unified source of truth that empowers our clients with real-time, actionable insights. We don’t just serve the industry – we help modernize it! Siepe is profitable, privately held, and growing fast. We offer more than just competitive pay and great benefits—we offer the chance to do impactful work alongside sharp, driven teammates in a culture that rewards curiosity, initiative, and follow-through. Whether you come from finance, tech, or are charting a new path, you’ll find meaningful problems to solve, real ownership, and the momentum to grow your career with purpose. Siepe is seeking a Senior Software Engineer to join our CLO Compliance engineering team and help modernize and extend a mission-critical SaaS platform that powers complex compliance workflows, regulatory reporting, and risk management for CLO investment management firms. This role is ideal for an engineer who thrives in AI-first development workflows using tools like Claude Code and GitHub Copilot to accelerate delivery, while maintaining high standards for correctness, testing, and production reliability in a mature, domain-rich financial system with 2,600+ business rules governing indenture compliance. What You’ll Be Doing Application Development (70%) • Use AI tools (Claude Code, GitHub Copilot, ChatGPT) to accelerate feature delivery across multiple workstreams while maintaining strong engineering rigor., • Build and maintain .NET 8 / C# REST APIs for CLO compliance, testing, and reporting., • Implement complex business logic for indenture compliance tests and financial rules., • Enhance domain models for CLO structures, positions, compliance tests, and results., • Extend dynamic rule execution frameworks (LINQ, expression trees, dynamic runtime)., • Apply CQRS patterns for scalable command/query separation and high-performance I/O. Platform Modernization & AI Enablement (15%), • Make the codebase “AI-ready” by upgrading legacy .NET components, removing obsolete libraries, and improving architecture boundaries without breaking production behavior., • Produce guiding documentation and examples for AI-assisted development (prompting patterns, review checklists, test scaffolding, safe refactor approaches)., • Introduce/strengthen unit + integration test coverage to create safe feedback loops for AI-generated changes., • Build context systems that improve AI effectiveness (e.g., curated architecture notes, service maps, dependency graphs, domain vocabulary). Testing & Quality (15%), • Write unit tests with NUnit and mocking frameworks (e.g., Rhino.Mocks) and expand integration coverage across APIs and data layers., • Participate in code reviews with a focus on validating AI-generated code for correctness, security, maintainability, and performance., • Troubleshoot production issues using logs/metrics (Serilog, health checks), debug root causes, and ship safe fixes with strong test coverage.What You'll Bring, • AI-first workflow mindset — confidently direct, review, and validate AI-generated code to ship features safely and fast, • Strong .NET/C# fundamentals: SOLID, design patterns, DI, and testing discipline in real production environments, • 3+ years professional C#/.NET experience (modern .NET 6+; ideally .NET 8/10), • Experience building ASP.NET Core Web APIs and designing maintainable REST services, • SQL Server skills (complex queries, joins, stored procedures; performance tuning), • Familiarity with DI/IoC patterns (Unity and/or built-in DI) and clean service registration, • Experience with NUnit (or similar) and automated testing practices (unit + integration), • Git-based collaboration workflows and comfort working across a multi-service backend, • Experience modernizing legacy systems (e.g., migrating .NET Framework to modern .NET, replacing obsolete libraries, incremental refactors with production stability), • Understanding of LLM integration patterns: tool use, agentic loops, embedding pipelines, prompt engineering, semantic search, • “Embedding-driven” context assembly concepts (e.g., using metadata like stored procedures, property catalogs, sample queries to build context-relevant prompts), • Expression tree / Roslyn experience (strong plus), • Fintech / investment management / compliance platform experience (CLOs, structured credit, regulatory workflows), • Observability patterns (Serilog, health checks, monitoring), Docker/containerization exposure, • Performance optimization for data-intensive financial systems

Job DescriptionWho We Are: At Emburse, you’ll not just imagine the future – you’ll build it. As a leader in travel and expense solutions, we are creating a future where technology drives business value and inspires extraordinary results. Our AI-powered platform helps organizations modernize financial operations, increase visibility, and optimize spend across the enterprise. Emburse software engineers contribute to the development of an engaging and interconnected set of system solutions. As an engineer, you will enhance the experiences of your customers, solve interesting challenges, and design new solutions. Emburse, known for its innovation and award-winning technologies, is strong on engineering. This ensures you will have access to the best and brightest minds in our industry to grow your experience and career within Emburse.What you will do : • Technical, • Self-sufficient in at least one large area of the codebase, • Mastery of at least one language and developing mastery of multiple other languages, frameworks and tools, • Identifies viable alternative solutions and presents them, • Understanding of relational databases, development frameworks, and commonly used industry libraries., • Understanding of testing and integration testing techniques, • Moderate understanding of how a handful of key sub-systems interoperate, • Ability to read and understand existing code and offer recommendations for improvement, • Understanding of OWASP, • Process, • SDLC processes are followed, including adopting agile-based processes/meetings, peer code-reviews, and technical preparations required for scheduled releases., • Understands product roadmap and how one contributes to the overall objectives, • Capability of prioritizing tasks, • Estimates their own work, • Learns and applies secure software development practices, reviews code for vulnerabilities and raises awareness of secure programming practices, • Impact, • Fixes bugs of moderate complexity and demonstrates proficient debugging skills, • Reviews code for team members, providing in-depth comments, • Develops new features or enhancements with minimal supervision, • Delivers medium level refactoring, • Implements unit testing and integration testing where needed, • Produces quality technical documentation, • Makes technical documentation/knowledge base contributions and technical team presentations, • Communication, • Gives constructive feedback to team members, • Understanding of industry jargon and business concepts, • Raises roadblocks and updates estimations as neededWhat we are looking for :, • Required: Bachelor’s degree in Computer Science or related field, or equivalent years’ experience, • Required: Minimum of 8 years of experience in software engineering, • Experience with C# in a distributed web application development environment (e.g. microservices, APIs, DB integration, queues, topics, caches, containers, serverless), • Experience with Azure services and APIs, or equivalent cloud vendor experience, • Experience working in Windows and Linux environments, • Experience designing and building REST services and APIs, • Experience with source control such as Git, • Experience with CI/CD pipelines and deployment methodologies, • Experience working in an Agile software development environment (e.g. scrum), • Experience working with 3rd party APIs, workflow and integration architectures, • Experience with large-scale or distributed web applications, • Desirable: Experience with data processing or data engineering, integration with AI and ML services, APIs or models.

Job DescriptionSiepe is a fast-growing technology company headquartered in Dallas, TX – focused on helping investment managers turn complexity into clarity. We build software and data solutions that give hedge funds and financial services firms the visibility, speed, and confidence they need to make better decisions – faster. Our platform delivers a unified source of truth that empowers our clients with real-time, actionable insights. We don’t just serve the industry – we help modernize it! Siepe is profitable, privately held, and growing fast. We offer more than just competitive pay and great benefits—we offer the chance to do impactful work alongside sharp, driven teammates in a culture that rewards curiosity, initiative, and follow-through. Whether you come from finance, tech, or are charting a new path, you’ll find meaningful problems to solve, real ownership, and the momentum to grow your career with purpose. The Lead Project Manager is responsible for leading client-facing projects, including new client onboardings and major initiatives for existing clients, from pre-contract handoff through successful delivery and transition to ongoing support. This role ensures projects are executed efficiently, accurately, and in alignment with client goals and Siepe’s delivery standards. The Project Manager collaborates closely with Sales Engineers, Product, Implementation, Operations, Technology, and Relationship Management teams to translate client requirements into actionable project plans, track deliverables, and maintain strong communication with both internal and external stakeholders. A successful onboarding experience defines the client’s first impression and sets the foundation for long-term satisfaction and retention. The Project Manager plays a pivotal role in ensuring each new engagement is well coordinated, clearly scoped, and delivered on time, establishing trust and confidence from day one. What You'll Be Doing • Convert intake documentation provided by the Sales Engineer into a detailed Statement of Work (SOW) and Project Plan., • Define project scope, milestones, deliverables, timelines, and success criteria., • Coordinate project kickoff meetings with clients and internal stakeholders., • Manage client projects from start to finish, ensuring timely delivery of all milestones., • Hold regular client-facing calls to review progress, discuss blockers, and align on next steps., • Provide consistent, clear, and proactive status updates to both internal and external stakeholders., • Track open tasks, dependencies, and decisions across teams to ensure forward momentum., • Partner with Product, Implementation, Operations, Technology, and Relationship Management teams to drive completion of configuration, data integration, and validation activities., • Identify and escalate risks, delays, and scope changes early to maintain transparency and control., • Hold both internal and external stakeholders accountable for deliverables and deadlines., • Document lessons learned and contribute to process standardization for future onboardings., • Identify recurring onboarding challenges and collaborate with leadership to optimize workflows., • Champion client advocacy and operational excellence across all onboarding engagements. What You’ll Bring, • 7+ years of project management experience within B2B financial technology, SaaS, or managed services., • Experience working with investment managers or alternative investment technology and service providers (CLOs, private credit, structured finance) is strongly preferred., • Proven ability to manage multiple complex projects simultaneously with high attention to detail., • Strong organizational, communication, and stakeholder management skills., • Demonstrated ability to translate business requirements into actionable project plans., • Familiarity with tools such as Azure DevOps, Asana, Smartsheet, or Microsoft Project is a plus., • PMP or other project management certification preferred but not required.

Job DescriptionAbout GoodLeap:GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. Position SummaryGoodLeap’s Consumer Solutions Business Unit is redefining how homeowners manage and benefit from sustainable home solutions. As a Staff Software Engineer, you will lead the designand delivery of our intelligent platform capabilities that power delightful, data-driven consumer experiences.This is a high-impact role for a technical leader who thrives on marrying architectural excellencewith AI/LLM innovation. You’ll help shape how our systems interact with and serve personalized, secure, and scalable content across mobile and web apps, all while mentoring others and influencing the broader engineering culture. This is a hybrid role reporting one day a week into the nearest tech hub. Key Responsibilities • Design and lead backend architecture that supports AI/ML-powered features across mobile and API surfaces, • Own end-to-end technical strategy for embedding LLMs, embedding stores, and personalized content delivery, • Partner with product and design to scope features, validate feasibility, and ensure execution aligns with business impact, • Build tools and services to help other team members experiment and ship AI-enhanced features responsibly and efficiently, • Influence engineering standards and promote excellence in observability, performance, and security, • Mentor engineers across teams, helping them level up in areas of backend architecture, AI integration, and delivery quality, • Collaborate with cross-functional partners across QA, Mobile, Data Science, Product, and MarketingRequired Qualifications, • 8+ years of experience in backend development, with at least 2+ years working with AI/ML solutions or LLM, • Experience working with vector databases, embeddings, and semantic search, • Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools, • Strong experience in Node.js, TypeScript, GraphQL, and REST APIs, • Deep familiarity with AWS architecture — especially Lambda, ECS, S3, DynamoDB, API Gateway, and Step Functions, • Experience building and integrating LLM features (e.g., via OpenAI, Claude, Vertex AI, or similar), including prompt design, vector storage, and retrieval strategies, • Fluency in system design principles, scalability, reliability, fault-tolerance, • Ability to drive clarity and make architectural tradeoffs, balancing idealism with pragmatism, • Strong communication and collaboration skills, able to work effectively across product and engineering orgsPreferred Skills, • Experience with AWS Bedrock, • Familiarity with mobile tech stacks (Flutter, Kotlin, Swift)Soft Skills & Culture Fit, • Strong collaboration skills with a willingness to mentor junior developers and contribute to code reviews., • Problem-solving ability: capable of breaking down complex problems and taking ownership of tasks from start to finish., • Customer-centric mindset: ability to align development decisions with delivering an excellent user experience.Opportunities for Growth, • At GoodLeap, there are always opportunities for team members to grow and advance within the company. As you outgrow your current role, we will support your development into new opportunities.In addition to the above salary, this role may be eligible for a bonus. Additional Information Regarding Job Duties and Job Descriptions: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today! We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our Employment Privacy Policy and Recruiting Policy on AI. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Company Overview: Join Allied Universal® Technology Services, a global leader in transforming the security industry. We integrate advanced technology - video surveillance, electronic access control, alarm monitoring and augmented solutions with physical security to help people feel safe. Whether you're an installation technician, service technician, engineer, or project manager, you'll discover rewarding opportunities to grow your career as part of a valued team. Apply today and be phenomenal-build a meaningful career while protecting what matters most through innovative security technology. Job Description Allied Universal® is hiring a Finance Support Specialist. The Finance Support Specialist is responsible for Sales and Strategic Operations business analysis, metrics, and reporting, including customer, pipeline, sales team quota attainment, rankings, etc. This role will work with Business Intelligence tools including DOMO to standardize dashboards and reports and will be a key stakeholder in all aspects of sales planning, strategy, insights, trending, and identifying key drivers and opportunities. The company is growing rapidly, and this position requires the ability to adapt to a dynamic and fluid environment including acquisition integrations. This position is a full-time exempt position and reports to the Director of Financial Planning & Analysis. • Seeking an outcome‑focused, analytically minded self‑starter who operates comfortably with autonomy and partners closely with Finance, Sales, and Operations to drive results., • Help leaders connect the numbers to day‑to‑day operations so they can improve performance and grow the business., • In‑office role based in Dallas, TX or Omaha, NE, supporting a fast‑moving, data‑driven business. RESPONSIBILITIES: • Develop ongoing periodic and ad hoc reports and analyses supporting Sales and Strategic Operations teams, • Work with corporate and regional leadership and accounting teams to drive strong financial and operational performance, investigate issues, identify opportunities, and develop sales team goals, metrics, and accountability, • Present financials and corresponding operational details to senior leadership team monthly and as needed, • Work with other Finance and Accounting personnel to develop best practices and recommendations for process improvement and data integrity, • Serve as a liaison to newly acquired entities to facilitate the integration of data into consolidated reporting, • Assist with the development of annual plans, financial analysis, and modeling, participating in strategy development, policies, procedures, and monitoring results, • Ad hoc reporting and analysis or other duties as needed by the organization assigned by the Chief Financial Officer / executive team QUALIFICATIONS: • High school diploma or equivalent, • A minimum of three (3) years of business finance or related experience in a quantitatively heavy role, • Cloud-based SAP Enterprise Resource Planning (ERP) experience, • Excellent Office 365 products skills, including Excel, PowerPoint, and Word, • Ability to handle pressure with a professional customer service-oriented approach, • Strong organizational skills and detail oriented, • Demonstrated ability to take initiative, successfully handle and prioritize multiple competing assignments and effectively manage competing deadlines, • Professional, articulate, and able to use excellent independent judgment and discretion, • College degree in Finance, Business Administration, or related field, • SalesForce.com and WeSuite experience, • Medical, dental, vision, retirement plan, basic life, AD&D, and disability insurance, • Eight paid holidays annually, five sick days, and four personal days, • Vacation time is offered at an accrual rate of 3.08 hours biweekly. Unused vacation is only paid out where required by law. #LI-26 Closing Allied Universal® is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race/ethnicity, age, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, disability, protected veteran status or relationship/association with a protected veteran, or any other basis or characteristic protected by law. For more information: If you have difficulty using the online system and require an alternate method to apply or require an accommodation, please contact our local Human Resources department. To find an office near you, please visit: . Requisition ID 2026-1550258

Job DescriptionAs a senior engineer on our team, you will have the opportunity to build solutions from the ground up, lead projects, and take real ownership of products and features. Our rapid growth and open culture provide the freedom to create, experiment, and contribute. Autonomy and curiosity are not just encouraged, they are essential. Much of your work will focus on our proprietary Level5 platform, an industry-leading analytics and management tool trusted by some of the nation’s largest and most sophisticated companies. The technology you create will be relied on by top energy experts to manage and analyze billions of dollars’ worth of procurement contractsWhat you’ll be doing: • Ideate, develop, release, and maintain features across our core system., • Work directly with large data pools that power analysis, historical tracking, and client management., • Make key technical decisions in open forums, guiding the team toward maintainability and growth., • Handle migrations and refactors to stay up to date with modern tools and best practices., • Own integrations with external services and middleware for data ingest, processing, and automation., • Improve observability, performance, and technical mapping across the platform., • Take initiative on everything from quick bug fixes to major re-architecture efforts., • Use your expertise to empower teammates and refine development practices., • Collaborate with stakeholders across the business, communicating clearly about trade-offs and solutions., • Enhance productivity with AI-assisted tools such as JetBrains, Cursor, Claude Code, and CodeRabbit., • Stay current with the latest frameworks, design patterns, and development practices.Bonus points if you bring experience with AI/agentic workflows (tool use, retrieval pipelines, orchestration) or energy industry expertiseWhat you’ll bring:, • Languages & Frameworks, • PHP 8.x, Laravel (Eloquent, Queues/Jobs, Events, Policies, Resources, Migrations), • MySQL (indexes, query plans, transactions, deadlock diagnosis, migration strategies), • Python (scripting automations & AWS Lambdas), • AWS (RDS MySQL, Lambda, DynamoDB, ElastiCache, ECS, Step Functions, EventBridge, etc.), • Bonus: AWS ML (Athena/SageMaker w/ Jupyter Notebooks), • Containers & IaC (Docker, Ansible), • CI/CD (GitHub Actions for build/test/deploy automation), • Observability & QA (Sentry, CloudWatch, metrics/logs/traces), • Systems thinking with clear boundaries and contracts, • Event-driven patterns (async processing, backpressure strategies), • Safe refactor and migration strategies (blue/green, canary, expand-and-contract, feature toggles), • Performance & reliability (caching, read/write splitting, query tuning)

Job Description Capgemini is at the forefront of Generative AI innovation, helping Financial Services clients industrialize GenAI and Agentic AI platforms at enterprise scale. We are seeking an experienced and innovative AI Product Engineer – Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS‑ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC, who can partner directly with clients to envision, design, develop, and deploy Agentic AI platforms in regulated environments. In this role, you will work at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production‑grade, governed, multi‑agent systems. You will apply leading GenAI frameworks and LLM platforms — including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases—while operating across the full Agentic SDLC. P&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role. We are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers. Requirements Client Advisory & Product Vision • Partner directly with Financial Services clients to identify, prioritize, and shape Agentic AI use cases across customer operations, underwriting, claims, risk, compliance, finance, and technology., • Lead client workshops to define agent personas, responsibilities, autonomy boundaries, human‑in‑the‑loop checkpoints, and escalation logic., • Translate evolving business needs into agentic product backlogs, roadmaps, and MVP definitions., • Design and implement multi‑agent architectures using modern GenAI tooling, including:, • Planner, executor, reviewer/critic, and supervisor agents, • Tool‑calling and function‑calling agents, • Memory‑enabled agents (conversation, semantic, episodic, and structured memory), • Leverage LangChain and LangGraph for agent orchestration, workflows, and control flow., • Apply DSPy and declarative prompt optimization techniques for repeatability, performance tuning, and regression control., • Design agent interaction patterns such as hierarchical agents, collaborating agents, and event‑driven agent workflows., • Own delivery across the full Software Development Lifecycle (SDLC), extending it into a formal Agentic SDLC, including:, • Agent design specifications and behavior contracts, • Prompt, policy, and tool versioning, • Simulation environments and offline evaluation, • Automated testing of agent flows and guardrails, • Controlled rollout, telemetry‑driven optimization, and continuous learning, • Build production‑grade AI services primarily using Python, integrating:, • LLM providers such as Anthropic (Claude), OpenAI, and open‑source models, • Retrieval‑Augmented Generation (RAG) using vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate), • Implement CI/CD pipelines for agent code, prompts, and policies., • Implement agent observability including tracing, decision logging, tool usage, and failure analysis., • Apply evaluation frameworks for hallucination detection, consistency checks, and fitness scoring., • Design feedback loops incorporating human‑in‑the‑loop review and reinforcement., • Design Agentic AI platforms aligned with Financial Services regulatory expectations, including:, • Auditability and traceability of agent decisions, • Model and prompt explainability, • Data privacy and security controls, • Resilience and fail‑safe mechanisms, • Embed guardrails and policies addressing hallucination risk, bias, unauthorized actions, and escalation failures., • Provide technical leadership and mentorship to consulting delivery teams., • Contribute to internal GenAI accelerators, agent frameworks, and reusable assets., • Support RFPs, proposals, and client solution designs with credible GenAI and agentic architectures. This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally known group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • *Note: Benefits differ based on employee level About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 420,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2025.

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