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.

Applied AI Engineer - (ML / AI / AGI)

Position Summary

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.
Experience with SageMaker Studio, AgentCore are plus
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.