{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Machine Learning / Platform Engineer - Agentic AI","description":"

Now Hiring: Senior Machine Learning / Platform Engineer — Agentic AI

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Location: Houston, TX

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The world's largest independent energy trader, moving a meaningful share of global oil supply every day, with one of the most respected names in physical commodity trading
Six decades in business and marking its 60th anniversary, with a long track record of prudent financial management through every kind of market cycle
Consistently the most profitable trader in the sector, outperforming its rivals by a wide margin even in calmer markets
Growing and diversifying well beyond oil, with fast-expanding LNG and natural gas businesses and a newly built metals trading arm spanning iron ore, aluminium, and copper
Owned by its own people, where employee shareholders share directly in the firm's performance, so strong contributors benefit from the upside they help create
on site chef for breakfast, lunch and snacks -on-site gym --massages offered close to 5 times a week
Excellent benefits and unmatched bonus and profit sharing opportunities

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A firm in the energy, commodities, and trading space is seeking a Senior Machine Learning / Platform Engineer to design and build a production-grade agentic workflow platform. This is a pivotal, high-priority, hands-on individual-contributor role sitting within a core \"tiger team\" that is rapidly building out AI capabilities for the trading and commercial business, supporting business intelligence and analytics.

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The role sits at the intersection of LLM systems engineering, distributed platforms, and applied ML, with a strong emphasis on orchestration, reliability, and extensibility. The engineer will architect and implement agent-based workflows that integrate large language models, retrieval systems, structured knowledge, and external APIs — designed for robustness, observability, and real-world business use.

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This is not a role for someone who only does simple updates or rollouts, nor for someone purely in traditional ML/DS — the right person is actively building GenAI products day to day and can take full ownership of projects.

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WHAT YOU'LL DO

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• Design and implement single-agent and multi-agent workflows using orchestration patterns and tools, context engineering, memory management, and guardrail strategies • Design RAG pipelines incorporating vector search, hybrid retrieval, and citation tracking • Implement knowledge graph–backed reasoning, including ontologies, entity resolution, and graph-based context construction • Design evaluation frameworks for agent task-completion correctness, quality, cost, and latency • Develop and deploy ML models with a focus on production readiness, scalability, and performance • Collaborate with data scientists to transition experimental models into robust, production-grade applications • Integrate with collaboration platforms (e.g., Teams, alerting systems) for intelligent distribution of insights • Implement and manage CI/CD pipelines to automate deployment, testing, and monitoring • Architect and deploy systems on AWS, leveraging compute, storage, and security services

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WHAT THE TEAM IS LOOKING FOR (Must-Haves)

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• 6+ years of experience in software, ML, or platform engineering — most recently at an O&G, commodity, or banking firm • Hands-on individual contributor (not a lead/manager role) who takes hold of projects end to end • GenAI, LLM, NLP, and customer-facing chatbot experience • Agentic AI focus: agent / multi-agent architecture, orchestration, and guardrails • Platform engineering, ideally with the ability to drive the R&D of a platform • Strong proficiency writing production-grade Python • Hands-on with LangChain / LangGraph • Solid understanding of RAG architectures, embeddings, and vector search • Experience designing and consuming APIs (REST and/or async/event-driven) • Strong cloud engineering experience on AWS • Exceptional teamwork, especially within a dynamic, innovative \"tiger team\" building early-stage PoC systems • Bachelor's or master's in Computer Science, Engineering, or a related field

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NICE TO HAVE

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• Experience with Claude (or comparable frontier models, e.g., Crew AI) and with Claude Code or Cursor • AWS AgentCore (or comparable agentic frameworks) • MCP and LangSmith • Knowledge of fine-tuning frontier models to specific domain knowledge • Experience with distillation, quantization, and Small Language Models (SLMs) • MLOps experience deploying traditional ML models into production • Knowledge of distributed systems, large-scale model optimization, container orchestration, and cloud-native application design

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Interested, or know someone who'd be a great fit? Apply or reach out directly.

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#Hiring #MachineLearning #GenAI #LLM #AgenticAI #PlatformEngineering #LangChain #AWS #Python #HoustonJobs

","datePosted":"2026-07-21","hiringOrganization":{"@type":"Organization","name":"Talance Group"},"validThrough":"2026-08-20","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Inner Loop-Greenway Plaza","streetAddress":"Inner Loop-Greenway Plaza, Houston, Texas, United States, 77046","addressRegion":"Texas","postalCode":"None","addressCountry":"United States"}},"employmentType":"FULL_TIME","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","unitText":"YEAR","minValue":"0","maxValue":"0"}},"identifier":{"@type":"PropertyValue","name":"Talance Group","value":"17809037291320134795VAY"},"directApply":true,"industry":"None"}