Applied AI Engineer - (ML / AI / AGI)

ECLARO; Philippines; On-site; PHP 1,800,000 - 2,400,000; Full time

Job summary

ECLARO is seeking an Applied AI Engineer in the Philippines to design and build intelligent services and agentic workflows atop cloud data and applications. You will deliver production-ready solutions for ranking, summarization, retrieval, classification, and recommendation using Python.

Collaborate with business, engineering, and governance teams to translate pain points into AI features, contribute to reusable prompt libraries, and advance responsible AI practices with measurable success

Qualifications

• 5+ years of experience in ML engineering, applied AI, NLP, LLM engineering, or a related field.
• Strong Python experience.
• Experience productionizing AI/ML workflows on AWS or similar cloud platforms.
• Familiarity with Databricks, MLflow, model evaluation, and governed data environments.
• Experience with SQL and distributed processing tools such as PySpark.
• Experience with SageMaker Studio, AgentCore are plus.
• Strong communication and product collaboration skills.

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.

Skills

Python

ML engineering

NLP

LLM engineering

AWS

Databricks

MLflow

SageMaker Studio

PySpark

Communication

Tools

Databricks

MLflow

SageMaker Studio

AgentCore

Job description

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.