Artificial Intelligence Engineer

Eclaro; Philippines; On-site; PHP 2,400,000 - 3,600,000; Full time

Job summary

Eclaro seeks an Experienced Applied AI Engineer to design and deploy production-ready AI services and agentic workflows atop cloud and data stacks. You will build ranking, summarization, extraction, and recommendation pipelines using Python in governed enterprise environments.

You will collaborate with business and governance teams to translate real-world pain points into robust AI features, maintain reusable prompt libraries, and ensure responsible AI practices across projects.

Qualifications

• 5+ years of experience in ML engineering, applied AI, NLP, LLM engineering, or a related field.
• Strong Python experience.
• Experience deploying AI/ML workloads on AWS or similar cloud platforms.
• Familiarity with Databricks, MLflow, model evaluation, and governed data environments.
• Experience with SQL and distributed processing tools like PySpark.
• Knowledge of SageMaker Studio, AgentCore is a 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 in S3, Redshift, Athena, Glue, EMR, and Databricks.
• Build evaluation, testing, and monitoring for AI-enabled workflows and agentic systems.
• Partner with business, engineering, and governance stakeholders to translate 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

Applied AI

NLP

Communication

Tools

Databricks

MLflow

SageMaker Studio

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.
• 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.