Role Title: Applied AI Engineer - (ML / AI / AGI) ECLARO: A quick Summary ECLARO is an award-winning professional services firm headquartered in New York City and operating in the U.S., Canada, UK, Ireland, Australia and the Philippines. We are dedicated to a singular purpose: providing the Right People to meet every client's needs and solve business challenges through strategic staffing, permanent placement, custom outsourcing & offshoring. Utilizing our proprietary TRINIT-E Service Maturity Model, we help clients implement programs to promote innovation, automation and process improvement. About the Role: The Applied AI Engineer designs and builds intelligent services and agentic workflows that sit on top of the cloud, data, and application stack. This role creates production-ready solutions for ranking, summarization, retrieval, classification, recommendation, and decision support using Python and governed enterprise AI development practices. Key Responsibilities: . Design and implement AI solutions for ranking, summarization, extraction, classification, recommendation, and conversational workflows. . Develop prompt-based and model-based solutions using Python and modern AI orchestration patterns. . Work with structured and unstructured data stored or processed in S3, Redshift, Athena, Glue, EMR, and Databricks. . Build evaluation, testing, and monitoring approaches for AI-enabled workflows and agentic systems. . Partner with business, engineering, and governance stakeholders to translate operational pain points into production AI features. . Support reusable prompt libraries, agent patterns, and service interfaces for internal AI products. . Contribute to responsible AI practices including grounding, escalation paths, review controls, and measurable success criteria. Qualifications: . 5+ years of experience in ML engineering, applied AI, NLP, LLM engineering, or a related field. . Strong Python experience. . Experience productionizing AI or ML workflows on AWS or similar cloud platforms. . Familiarity with Databricks, MLflow, model evaluation, and governed data environments. . Experience working with SQL and distributed processing tools such as PySpark. . Strong communication and product collaboration skills. Preferred Qualifications . Experience with enterprise search, retrieval, recommendation systems, or document intelligence workflows. . Exposure to responsible AI controls, policy constraints, or model risk/compliance frameworks. . Experience in insurance, financial services, HR tech, staffing, or workflow automation is a plus.
