Artificial Intelligence Engineer

ECLARO; Philippines; On-site; PHP 1,500,000 - 2,700,000; Full time

Job summary

ECLARO is seeking an Applied AI Engineer to design and build intelligent services and agentic workflows on top of a cloud and data stack. You will deliver production-ready solutions for ranking, summarization, retrieval, classification, recommendation, and decision support using Python and enterprise AI practices.

You will prototype and deploy prompt-based and model-based solutions, handle data across AWS services and Databricks environments, and contribute to responsible AI governance and

Qualifications

• 5+ years in ML engineering, applied AI, NLP, LLM engineering, or a related field.
• Experience deploying AI/ML workflows on AWS or similar cloud platforms.
• Familiarity with Databricks, MLflow, model evaluation, and governed data environments.

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

Experience with ML engineering

Strong communication skills

Product collaboration skills

Tools

SageMaker Studio

AgentCore

Databricks

MLflow

PySpark

SQL

AWS

Job description

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.
• 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.