Senior AI & Data Engineer — Python & GenAI

KMC Solutions; Muntinlupa; On-site; PHP 900,000 - 1,800,000; Full time

Benefits offered by this job

Health Insurance/HMO

Learning & growth opportunities

Accessible Cloud HR platform (Sprout)

Above standard leaves

Job summary

KMC Solutions is seeking an AI + DATA ENGINEER to design, build, and deploy AI solutions powering healthcare insights, recruiter automation, and personalized experiences. You will work hands-on with LLMs, ML models, and scalable data pipelines, in collaboration with the Head of Engineering to productionize services.

Ideal candidates have 3–6 years of AI engineering experience, proficiency in Python, PyTorch/TensorFlow, FastAPI, LangChain, and vector databases, plus ML Ops and data orchestration

Qualifications

• 3–6 years of professional experience in AI engineering, machine learning, or related fields.
• Proficiency in Python, PyTorch/TensorFlow, FastAPI, LangChain, and Vector Databases (e.g., Pinecone, FAISS).
• Hands-on experience with ML Ops, model deployment, and data pipeline orchestration.

Responsibilities

• Design and develop AI-driven modules for healthcare professional targeting, clustering, and lead scoring.
• Build and deploy LLM-based recruiter agents utilizing LangChain and RAG pipelines.
• Train and fine-tune machine learning models for content personalization, CME recommendations, and second-opinion chatbots.
• Develop and maintain data pipelines and feature stores to support robust AI infrastructure.
• Collaborate with Head of Engineering to operationalize AI services in production environments.

Skills

Python

PyTorch/TensorFlow

FastAPI

LangChain

Vector Databases

ML Ops

Model deployment

Data pipelines

Healthcare datasets

Startup environment

Hands-on coding

Ownership

Tools

LangChain

Pinecone

FAISS

Job description

KMC Solutions is seeking an AI + DATA ENGINEER to design, build, and deploy AI solutions powering healthcare insights, recruiter automation, and personalized experiences. You will work hands-on with LLMs, ML models, and scalable data pipelines, in collaboration with the Head of Engineering to productionize services.

Ideal candidates have 3–6 years of AI engineering experience, proficiency in Python, PyTorch/TensorFlow, FastAPI, LangChain, and vector databases, plus ML Ops and data orchestration