{"id":3148417,"url":"https://alion.io/job/felix-pago-machine-learning-data-engineer-llm-generative-ai","title":"Machine Learning Data Engineer (LLM & Generative AI)","company":{"id":175623,"name":"Félix Pago","domain":"felixpago.com","url":"https://alion.io/company/felix-pago","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":{"grade":"A","score":92,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":149000,"max_usd":286000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1268},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"CI/CD","optional":false},{"name":"DPO","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"RLHF","optional":false},{"name":"SFT","optional":false},{"name":"SQL","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"DeepEval","optional":true},{"name":"Flink","optional":true},{"name":"Milvus","optional":true},{"name":"Pinecone","optional":true},{"name":"Qdrant","optional":true},{"name":"TruLens","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-10-23T10:20:54Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-24T05:03:12Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Us\nAtFélix, we are building the indispensable financial companion for Latinos in the US. We combine an AI-powered, conversational-first interface with real-time financial infrastructure to make cross-border money movement as easy as sending a text. Starting with fast, affordable remittances powered by AI and crypto rails, we are expanding into credit, savings, and wallet services to support the complete immigrant financial journey. Our ambition is to deliver a white-glove financial experience with the simplicity of a conversation to a community the traditional financial system has historically overlooked.\nWe are a hyper-growth Series C company, backed by over $300 million in funding from top-tier global investors, including Andreessen Horowitz, QED, Castle Island, Switch Ventures, HTwenty, Monashees, General Catalyst Customer Value Fund. This isn't just about the numbers; it's a testament to the trust our investors have in our vision and our team. Additionally, Félix was selected as an “Endeavor Entrepreneur” and was a recipient of the CrossTech Fintech Startups Award.\nJoining Félix means you will be part of a team building a legacy, a company that will outlive us all. This is a rare opportunity to apply your skills to a deeply meaningful mission-serving a community that has been underserved for too long because we are obsessed with our customers. We get things done with urgency and focus, driven by extreme ownershipover our impact. We collaborate without ego, fostering radical transparency and fierce loyalty so we can grow together. Because we aim for insanely greatrather than just good enough, we stay insatiably curious-always experimenting, building the future today, and delivering a product that truly makes our users' lives better.\nAbout the Role\nWe are seeking an innovative and highly technical Machine Learning Data Engineer to build the foundational data infrastructure that powers our Large Language Models (LLMs) and autonomous AI agents. In this role, you will sit at the bleeding edge of generative AI, focusing on the end-to-end data lifecycle-from orchestrating real-time telemetry to architecting the pipelines that train and refine our models. You will be responsible for ensuring our models are fed with high-quality, diverse, and well-structured data to drive continuous performance improvements.\nResponsibilities\n Automated Fine-Tuning Pipelines: Design, build, and maintain highly scalable, automated data pipelines to extract, clean, and format massive datasets specifically for LLM fine-tuning (Supervised Fine-Tuning, RLHF, and DPO).\nReal-Time Agent & LLM Evaluation: Develop robust telemetry and sampling systems to ingest real-time production data. Use this data to continuously measure, evaluate, and benchmark the real-time performance, latency, and accuracy of live LLMs and AI agents.\nSynthetic Data Generation: Architect and scale synthetic data generation workflows. Leverage foundational models to create high-variance synthetic datasets to augment training data, cover edge cases, and mitigate bias where real-world data is scarce or privacy-restricted.\nData Quality & Curation: Implement automated data quality checks, deduplication strategies, and toxicity filtering to ensure the highest standard of data integrity entering the model training pipelines.\n Infrastructure & MLOps Integration: Partner closely with ML Researchers and DevOps to integrate data pipelines with model training infrastructure, ensuring seamless continuous integration and continuous deployment (CI/CD) for model updates.\n Vector Database Management: Manage and optimize data flows into vector databases to support Retrieval-Augmented Generation (RAG) capabilities for our agentic workflows.\nRequirements\nEducation: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.\nExperience: 5+ years of professional experience in Data Engineering, Machine Learning Engineering, or MLOps.\nProgramming Languages: Expert-level proficiency in Python and advanced SQL.\n Generative AI & LLMs: Demonstrated hands-on experience working with LLM APIs (OpenAI, Anthropic, etc.), open-source models (Hugging Face, Llama), and orchestration frameworks (LangChain, LlamaIndex, or AutoGen).\nSynthetic Data: Proven experience employing prompt engineering and programmatic techniques for high-quality synthetic data generation and validation.\nData Orchestration: Strong experience with workflow orchestration tools.\n Cloud & Big Data: Experience with scalable cloud infrastructure (GCP) and distributed data processing frameworks.\nThese are the applicable requirements, although equivalent competencies in any of the above will also be considered.\nNice to Have\nFamiliarity with vector search and vector databases (e.g., Pinecone, Milvus, Weaviate, Qdrant).\nExperience with LLM evaluation frameworks (e.g., RAGAS, TruLens, DeepEval) and building automated LLM benchmarking suites.\nUnderstanding of privacy-preserving techniques (PII redaction pipelines) for handling sensitive data in ML training.\nExperience deploying streaming data pipelines (Kafka, Flink, or Kinesis) for real-time analytics.\nBilingual (English/Spanish)\nExperience deploying streaming data pipelines (Kafka, Flink, or Kinesis) not just for analytics, but to feed real-time contextual data into our agentic workflows and streaming RAG systems.\nWhat We Offer\nCompetitive salary\nInitial stock options grant\nAnnual performance bonus\nUnlimited PTO\nPaid parental leave\nWork model: currently fully remote, with a future transition to a hybrid setup\nHealth, dental, and vision plans \n401(k) with employer matching, for US-based employees\nContinuous learning opportunities \nEmpowering opportunities for growth in a dynamic entrepreneurial environment\nEqual Opportunity Employer\nAt Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.\nWant to learn more about our privacy practices? Check out our Privacy Policy.","description_format":"text","description_chars":6279,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":true}]},"benefits":["Continuous learning","Parental leave","Stock options","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Stablecoins","Money Transfer & Remittances"],"lifecycle":[{"event":"open","at":"2026-10-23T11:13:19Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":38,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/felix-pago-machine-learning-data-engineer-llm-generative-ai","json_url":"https://alion.io/job/felix-pago-machine-learning-data-engineer-llm-generative-ai.json","meta":{"generated_at":"2026-10-24T08:36:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12174,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":175623},"rest":"https://alion.io/mcp/rest/get_company?id=175623"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffelix-pago-machine-learning-data-engineer-llm-generative-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffelix-pago-machine-learning-data-engineer-llm-generative-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffelix-pago-machine-learning-data-engineer-llm-generative-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/felix-pago-machine-learning-data-engineer-llm-generative-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffelix-pago-machine-learning-data-engineer-llm-generative-ai"}]}