Senior Backend Engineer (Python) | WFH, Midshift

KMC Solutions; Metro Manila; Remote; PHP 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

On-site 1–2 days/month

Job summary

GRG Health, based in Metro Manila, is hiring an AI Backend Engineer to build and scale backend services powering AI features. You will integrate LLMs, RAG pipelines, and vector databases into production-grade APIs, collaborating with AI/ML, data, and frontend teams.

You will develop APIs with Python and FastAPI, ensure security and scalability, and deploy in cloud environments with observability. Hybrid work with occasional on-site presence is required.

Qualifications

• 3+ years of backend engineering experience with Python.
• Strong expertise in FastAPI and REST API design.
• Hands-on experience integrating LLM APIs and building RAG pipelines.
• Experience with vector databases (Pinecone, Weaviate, Chroma, FAISS, etc.).
• Working knowledge of PostgreSQL and MongoDB.
• Familiarity with LLM orchestration frameworks such as LangChain or LangGraph.
• Understanding of cloud-native deployments, scalability, and distributed systems.

Responsibilities

• Develop backend services and APIs using Python and FastAPI for AI-driven features.
• Integrate LLMs, embeddings, and RAG pipelines into production systems.
• Build and consume APIs for AI services, agents, and data-intensive workflows.
• Work with PostgreSQL, MongoDB, and vector databases for AI applications.
• Implement authentication, authorization, and security best practices.
• Optimize the performance, reliability, and scalability of AI backend services.
• Collaborate with AI/ML, data, and frontend teams to deliver end-to-end AI features.
• Contribute to deployment, monitoring, and observability of AI systems on cloud infrastructure.

Skills

Python

FastAPI

REST API design

LLM integration

RAG pipelines

Vector databases

PostgreSQL

MongoDB

Cloud-native deployments

LangChain/LangGraph

Tools

PostgreSQL

MongoDB

Pinecone

Weaviate

Chroma

FAISS

Job description

GRG Health is a global leader in healthcare professional (HCP) market research, data, and engagement, building AI-driven platforms for global pharmaceutical and life sciences organizations.

Role Overview

This role is responsible for building and scaling the backend services that power GRG Health's AI and LLM-driven features. The AI Backend Engineer integrates LLMs, RAG pipelines, and vector databases into production-grade APIs, working across the AI and data stack to deliver intelligent, reliable, and scalable systems.

Key Responsibilities

• Develop backend services and APIs using Python and FastAPI for AI-driven features
• Integrate LLMs, embeddings, and RAG pipelines into production systems
• Build and consume APIs for AI services, agents, and data-intensive workflows
• Work with PostgreSQL, MongoDB, and vector databases for AI applications
• Implement authentication, authorization, and security best practices
• Optimize the performance, reliability, and scalability of AI backend services
• Collaborate with AI/ML, data, and frontend teams to deliver end-to-end AI features
• Contribute to deployment, monitoring, and observability of AI systems on cloud infrastructure

Required Experience & Skills

• 3+ years of backend engineering experience with Python
• Strong expertise in FastAPI and REST API design
• Hands-on experience integrating LLM APIs and building RAG pipelines
• Experience with vector databases (Pinecone, Weaviate, Chroma, FAISS, etc.)
• Working knowledge of PostgreSQL and MongoDB
• Familiarity with LLM orchestration frameworks such as LangChain or LangGraph
• Understanding of cloud-native deployments, scalability, and distributed systems

Work Culture & Expectations

• Startup-lean environment with enterprise-grade engineering standards
• High-ownership role with accountability for architecture, delivery, and outcomes
• AI-first product stack with real-world production usage
• Strong bias toward execution, clarity, and technical excellence
• Engineers are expected to take end-to-end responsibility for systems and outcomes

Location: Metro Manila

Work Arrangement: Hybrid (1-2 times a month on-site required)

Schedule: Monday - Friday, 11:30AM - 8:30PM