Applied AI Engineer - (ML / AI / AGI)

ECLARO; Quezon City; On-site; PHP 1,200,000 - 2,800,000; Full time

Job summary

ECLARO is seeking an Applied AI Engineer to design and build intelligent services atop cloud data stacks, using Python to deliver production-ready AI features for ranking, summarization, extraction, and classification.

You will collaborate with business and engineering teams, implement prompt-based and model-based solutions on AWS-like platforms, and contribute to responsible AI practices while advancing agentic workflows.

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.

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

Communication

Tools

SageMaker Studio

Databricks

MLflow

PySpark

Job description

Applied AI Engineer - (ML / AI / AGI)

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.