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• Diagnose business problems before building solutions • Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration • Design, develop, and ship AI-powered solutions quickly • Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput • Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms • Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible • Partner closely with stakeholders across functions to understand the real constraints • Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable • Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law. To be considered for this position candidates are required to submit an application for employment through our career site and be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.
Role Description Serve as the engineering lead for Agentic AI delivery across Supply Planning and Manufacturing — owning the design, development, and deployment of production-grade AI agent solutions. - Architect and build multi-agent AI systems using Azure AI Agent Service, AutoGen, Semantic Kernel, and/or LangChain/LangGraph — including orchestrator-executor patterns, tool calling, memory management, and agent coordination. - Implement the MCP to surface enterprise data as structured context for AI agents operating in supply chain and manufacturing workflows. - Build and deploy generative AI solutions on Azure AI Foundry — RAG-based knowledge agents, decision support for forecasting and capacity planning, and document intelligence for maintenance work orders and recipes. - Design and deliver AI copilots and topic-based agents using Microsoft Copilot Studio — enabling Supply Planning and Manufacturing teams to access insights and take action directly from Teams and Outlook. - Act as the AI delivery owner for agentic use cases — scoping business problems with stakeholders, defining agent capabilities and tool surfaces, prioritizing the roadmap, and driving adoption. - Apply emerging agentic AI patterns — including ReAct, Plan-and-Execute, reflection, and human-in-the-loop — for supply chain and operational use cases. - Partner with Supply Chain leadership, Demand Planning, Process Engineering, Maintenance Ops, and Plant teams to identify, scope, and deliver AI use cases that influence operational decisions. - Define and maintain AI agent governance — prompt versioning, tool auditing, evaluation frameworks, observability, and safety guardrails for production deployments. - Develop on Azure Databricks — PySpark and SQL against gold/platinum Delta tables, notebooks for transformation and feature work, and orchestration via Workflows. - Build and maintain Power BI reports and semantic models that serve as grounding data for AI agents and executive dashboards across Supply Planning and Manufacturing. - Own Supply Chain AI metrics alignment cadence — keeping priorities, status, and roadblocks visible to Supply Chain and Manufacturing leadership. - Mentor analysts and engineers on agentic AI design patterns, MCP, and AI delivery best practices. Qualifications - Master’s degree in Mathematics, Computer Science, Data Science, Information Systems, Engineering, or a related field with 5+ years of relevant analytics / AI experience, OR - Bachelor’s degree in Chemical, Industrial, Computer Science, or related fields with 8+ years of relevant analytics / AI experience. Requirements - Hands-on experience with the MCP — building or consuming MCP servers/clients; ability to expose enterprise data sources (databases, APIs, SharePoint, ERP) as MCP tools for AI agents. - Hands-on experience with multi-agent system design — designing and implementing multi-agent architectures; orchestrator-executor patterns, tool calling, memory management, and agent coordination using AutoGen, Semantic Kernel, LangChain/LangGraph, or Azure AI Agent Service. - Strong Python engineering skills — building production-grade AI agents and pipelines, including REST API integration, prompt versioning, evaluation frameworks, and observability for LLM-based systems. - Compulsory — must have hands-on experience with two or more of the following: - Azure AI Foundry (RAG pipelines, prompt flows, agent service) - Microsoft Copilot Studio (agents, topics, actions, Power Automate integration) - Microsoft 365 Copilot extensibility (plugins, connectors, Graph APIs) - Microsoft Power BI (DAX, semantic modeling, performance tuning) - Strong proficiency in Databricks (Python, SQL, Delta Lake, PySpark, notebooks). - Strong functional understanding of Supply Planning (S&OP, demand/supply planning, inventory, order management) and/or Manufacturing (plant maintenance, capacity planning, OEE). - Experience with SAP ECC / S/4HANA supply chain and manufacturing modules (MM, PP, SD, PM). - Ability to translate business problems into agentic AI solutions and communicate clearly to technical and executive audiences. - Strong collaboration and stakeholder management skills in cross-functional environments. Preferred Qualifications - Experience deploying AI agents in production — evaluation frameworks, safety guardrails, logging, and human-in-the-loop workflows. - Familiarity with agentic design patterns (ReAct, Plan-and-Execute, reflection, structured tool outputs). - Familiarity with knowledge graphs or graph databases (e.g., Neo4j) for agent reasoning and grounding. - Strong Power BI experience — semantic modeling, performance optimization, executive dashboard design. - Experience in chemicals, manufacturing, or process industries. - Experience with Palantir Foundry (pipelines, ontology, Workshop, AIP). - Exposure to MLOps on Azure (Azure ML, MLflow, Databricks Asset Bundles, CI/CD for analytics). - Experience designing operational KPI frameworks (MAPE, OTIF, service level, OEE, downtime). - Experience with containerization (Docker), version control (Git), and modern software engineering practices. Other We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law. To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.
Role Description A well-funded seed-stage startup building the next generation of autonomous trading technology. You are building the intelligence layer on top of a purpose-built execution system for AI agents operating with real capital around the clock. What You'll Own - Learning System & RL Loop (~70%): - Design and implement the pipeline that connects live trade outcomes back to strategy improvement — signal quality, position sizing, timing, risk parameters. - Build the evaluation framework that separates genuine predictive signal from noise across agents, market conditions, and configurations. - Automate the strategy generation and testing cycle — the system should explore new configurations, validate them against real fleet data, and surface deployment candidates. - Detect regime shifts in market conditions and adapt fleet behavior accordingly. - Decompose every trade into its component drivers — signal quality, execution efficiency, exit timing — and wire those attributions back into strategy design. - Manage fleet-level coordination: concentration risk, capital allocation, and the exploration vs. exploitation balance. - Build the telemetry and data capture layer that makes all of the above possible. - Model & Inference Infrastructure (~30%): - Own the build-vs-buy decision on model hosting — evaluate proxied external APIs versus fine-tuned models on owned infrastructure and execute the chosen path. - Determine whether domain-specific training on trading data meaningfully outperforms prompted general-purpose models — then build the pipeline to act on that answer. - Optimize inference for the specific demands of a large autonomous agent fleet: concurrent agents, structured outputs, cost efficiency at scale. - Build the agent telemetry layer capturing every decision, signal score, and evaluation across the fleet. Qualifications - A production closed-loop system — model outputs drove real-world actions, outcomes were measured, and that feedback automatically improved the next decision. - Practical RL or online learning experience — you understand the challenges of learning from real-world feedback rather than static datasets. - Full-stack ML ownership — you build the pipeline, deploy the model, and own the outcome; Python primary, comfortable with Go or TypeScript in production services. - High-stakes sequential decision-making domain experience — finance preferred but not required; robotics, autonomous vehicles, game AI, ad bidding, and supply chain all transfer. Nice to Have - LLM fine-tuning and open-source model serving in production (vLLM, TGI, PEFT/LoRA). - Multi-agent system design. - Financial ML — signal generation, execution optimization, portfolio construction. - Onchain or DeFi experience. Interview Process - Fast — target first call to offer within two weeks. - Intro call with founders (60 min) — fit, motivation, your closed-loop experience. - Technical deep-dive (60 min) — open-ended system design, no right answer, evaluating how you think. - Paid trial project (1 week, part-time) if needed — real problem, compensated.
The CES Family of Companies is a collection of strong brands and businesses providing food equipment, supplies, service.
• Design and implement AI/GenAI features across applications and SDLC workflows • Build AI solutions using platforms like Azure AI Foundry and LLM APIs • Develop agent-based workflows using frameworks such as LangChain, LangGraph, or Semantic Kernel • Implement RAG-based solutions and prompt engineering strategies • Leverage GitHub Copilot for AI-assisted development and productivity • Build full-stack applications using Python, JavaScript/TypeScript, and/or C# (.NET) • Develop APIs, backend services, and integrate with databases (SQL/NoSQL) • Ensure application quality through testing, monitoring, and observability • Collaborate with cross-functional teams (product, UX, data science) • Troubleshoot and optimize AI models, pipelines, and integrations
Personal data collected during the recruitment process will be processed in accordance with the Privacy Notice of Aplaz, S.A. de C.V. (“Aplazo”), available at our Privacy and Policy Notice. Aplazo does not discriminate on the basis of race, religion, skin color, sex, gender, age, ethnic or national origin, marital status, disability, social or economic status, sexual preferences, or any other condition or characteristic. Selection is based solely on the qualifications and merits of the candidates.
Role Description We are looking for an AI Engineer to help build and scale a company-wide AI platform that will power customer-facing assistants, internal tools and future AI-driven products. This role is not a data science position. You will focus on systems, platforms, reliability and integration, ensuring AI capabilities are safe, scalable, cost-effective and reusable across teams. - Designing and building the core AI platform (gateways, orchestration, retrieval, tooling) - Integrating and operating LLMs via APIs and self-hosted solutions - Creating reusable infrastructure that enables product teams to ship AI features quickly - Implementing safety, compliance and observability for production AI systems - Partnering closely with Product, Backend, Data Science and Security teams to define AI capabilities Qualifications - 4+ years of experience in backend, platform or infrastructure engineering - Strong experience building production APIs and distributed systems - Experience with cloud platforms (AWS, GCP or Azure) - Solid understanding of system design, scalability and reliability - AI & ML literacy (not DS-heavy) - Practical experience integrating AI/ML models via APIs - Understanding of how LLMs work at a systems level (prompts, tokens, latency, cost) - Familiarity with concepts like: - Retrieval-augmented generation (RAG) - Model limitations and hallucinations - AI safety and guardrails - Ability to reason about AI behavior, risks and trade-offs Requirements - Strong programming skills in one or more backend languages (e.g., Python, Java, Go, Node.js) - Experience with data stores (SQL, NoSQL, Redis, search engines) - Familiarity with event-driven or async architectures - Experience with observability tools (logs, metrics, tracing) Nice to have - Experience building internal platforms or developer tooling - Exposure to fintech, payments or regulated environments - Experience with vector databases or search systems - Prior work on chatbots, assistants or workflow automation - Experience designing systems used by multiple teams What success looks like - Product teams can ship AI features without rebuilding infrastructure - AI systems are reliable, safe and cost-controlled in production - New AI use cases plug into a shared platform with minimal effort - Leadership has visibility into AI performance, quality and impact Benefits - Build foundational AI infrastructure used across the company - Work at the intersection of AI, platforms and real business impact - Shape how AI is safely deployed in a fintech/BNPL environment - High ownership, high visibility and long-term technical impact #Ly-remote Personal data collected during the recruitment process will be processed in accordance with the Privacy Notice of Aplaz, S.A. de C.V. (“Aplazo”), available at our Privacy and Policy Notice. Aplazo does not discriminate on the basis of race, religion, skin color, sex, gender, age, ethnic or national origin, marital status, disability, social or economic status, sexual preferences, or any other condition or characteristic. Selection is based solely on the qualifications and merits of the candidates.
Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.
Role Description We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. Work with partners at OpenAI to integrate Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. At Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. How You Will Make an Impact: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. Qualifications - 3+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. Requirements - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a "how can we" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. Benefits - Comprehensive benefits package including health, dental, and vision coverage. - Paid time off and paid parental leave. - 401(K) plan with employer matching. - Wellness benefits. - Equity opportunities may also be part of your total rewards package.
Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.
Role Description We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. Work with partners at OpenAI to integrate Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. At Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. How You Will Make an Impact: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. Qualifications - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. Requirements - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a "how can we" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. Benefits - Comprehensive benefits package including health, dental, and vision coverage. - Paid time off and paid parental leave. - 401(K) plan with employer matching. - Wellness benefits. - Equity opportunities may also be part of your total rewards package. Company Description Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. - Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. - We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. - We have more than 5 million customers — and we’re just getting started. - Founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.
Work for a Fortune 500 company that rewards performance, invests in your growth, and provides a launchpad for a high-earning remote sales career. This isn’t just a job — it’s your path to leadership, income, and long-term success.
Role Description Remote Career Opportunity — Your Future Starts NOW! - Make outgoing calls, emails, texts, and chats with clients. - Help families understand and choose the right benefit programs. - Maintain accurate records while delivering excellent service. - Collaborate with teammates to maximize customer satisfaction. - Provide caring support to clients by phone or online. Qualifications - Strong communicators with problem-solving abilities. - Adaptable multitaskers who thrive in fast-paced settings. - Must be willing to get Licensed in Life and Health Insurance. - Reliable and coachable candidates eager to learn and grow. - Must be a U.S. Resident. Requirements - No experience? No problem. We provide complete training. Benefits - High Earnings Potential — Earn $60K–$80K in your first year, with unlimited bonuses. - Fast Career Growth — Promotions, leadership roles, and continuous training await. - Flexible Lifestyle — Full-time or part-time hours designed around your life. - Supportive Team Culture — Work with motivated peers who celebrate wins together. - Free Full Training — No prior experience required; we coach you every step of the way. Company Description Join the fast-growing team at Globe Life AO and take control of your future with flexible schedules, uncapped bonuses, and rapid career growth. Get hired in as little as 24–48 hours and begin building your success story today!
Role Description Under the supervision of the Dispatch Program Manager, the Dispatch Core 1 and Core 2 Agents are responsible for processing inbound and outbound calls to the point of resolution, including customer service assistance, inquiries, and complaints. They will provide the highest quality service while ensuring that the caller’s needs are met. Dispatch Resolution Representatives will focus on meeting monthly goals in NPS, CPE, AHT, QWT, and more. Work Location and Schedule - Location: Mesa, AZ and Irving, TX - Work Week: 40+ hours, including at least 1 weekend day. - Job Type: Full-Time Compensation - $16.00 per hour base pay. - Eligible for bonus incentives based on performance metrics upon completion of training(s) & passing all exams. - Average Dispatch Agent compensation after incentives is up to $19 per hour or more. Benefits - Medical, dental, vision, disability, FSAs, and life insurance - Paid Time Off and paid holidays - 401K - Pet Insurance - 5-day work week - Employee Assistance Program - Training and Development Programs - Legal Coverage - Identity Theft Protection - Referral Program - And so much more… Responsibilities and Duties - Provide roadside assistance to customers. - Working Dispatches for Core 1 (Light Duty) and Core 2 (Medium and High Duty). - Answer Member and Vendor Call Backs. - Work Digital Dispatches. - Dispatching Mobile Dispatching. - Work White Glove and Manual Closed Loop as needed. - Troubleshooting and resolving problems encountered by customers. - Educate and explain membership benefits and coverage. - Keep current on all benefit/training information. - Keep current all company and departmental policies and procedures. - Maintaining or exceeding minimum requirements of the CSR Standards of Measurements. - Adhere to all company and department policies. - Log into network and e-mail and adhere to equipment policies. - Maintain acceptable levels of performance to include but not limited to attendance, adherence, fulfillment, and all other productivity and efficiency targets and objectives. - Support safety and ergonomic standards. - Acknowledging employee’s birthdays and anniversaries. - Support your fellow teammates. - Adhere to our Core Values. - Other duties as assigned. Qualifications - Minimum 6 months Customer Service Dispatching skills. - Excellent Customer Service Skills. - Good verbal/written communication skills. - Good analytical and problem-solving skills. - Computer/keyboard experience and Internet knowledge. - Ability to function in a team environment. - Ability to think outside of the box. - Mapping with Bing or Google maps and searching skills. - Ability to work varied shifts and varied days off as needed. Education - High School Diploma or Equivalent
• Design and implement contemporary data transfer methodologies that seamlessly loads data into a modern OLTP • Leverage AI for faster migration, efficient data reconciliation, and smooth user transition • Partner with internal collaborators and develop strong stakeholder relationships across architecture, security, networking, platform, and application teams
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Python, JavaScript, TypeScript, NoSQL, SQL, GraphQL
