Senior Python AI Engineer: LLM Agents & Cloud

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

Job summary

ECLARO in Manila, Philippines, seeks a Senior Python Developer to design and build AI-powered applications with strong Python code and solid software engineering fundamentals.

You will integrate LLMs using frameworks like Pydantic AI, implement RAG workflows, and ensure secure, observable AI systems on AWS with containers and CI/CD pipelines.

The role emphasizes building REST APIs, managing databases, monitoring performance, cost, and reliability for production-grade AI solutions.

Qualifications

• Strong Python and software engineering fundamentals.
• Pydantic AI or similar agent frameworks.
• LLM integration and AI-powered application development.
• RAG: document processing, chunking, vector/hybrid search, retrieval optimization.
• Backend development: REST APIs, databases, architecture.
• Cloud (AWS preferred), containerization, CI/CD.
• AI testing and evaluation (validating outputs, reliability).
• AWS (Step Functions, Lambda, API Gateway, EKS)

Responsibilities

• Build and maintain AI agents with Pydantic AI or similar
• Establish AI agent safeguards: secure agents and tools, safe model interactions, controlled database access, query validation, authorization enforcement
• Validate, test, and monitor AI-generated actions and outputs before production
• Monitor deployed agents for accuracy, latency, cost, and failures

Skills

Python

Software engineering fundamentals

LLM integration

AI-powered app development

RAG and vector search

REST APIs

Databases and architecture

Cloud computing (AWS)

Containerization

Observability / monitoring

AI testing and evaluation

Tools

Pydantic AI

AWS

Lambda

API Gateway

Step Functions

EKS

CI/CD

Job description

ECLARO in Manila, Philippines, seeks a Senior Python Developer to design and build AI-powered applications with strong Python code and solid software engineering fundamentals.

You will integrate LLMs using frameworks like Pydantic AI, implement RAG workflows, and ensure secure, observable AI systems on AWS with containers and CI/CD pipelines.

The role emphasizes building REST APIs, managing databases, monitoring performance, cost, and reliability for production-grade AI solutions.