Junior GenAI Engineer — LLMs, ML Apps & Deployment

V2 Solutions; Hinoba-an; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

V2 Solutions is seeking a Data Analytics/GenAI Engineer in the Philippines to build LLM-powered apps and RAG pipelines, leveraging embeddings and vector search. You will develop APIs with FastAPI/Flask and deploy to AWS/Azure, ensuring quality and security.

The role emphasizes hands-on GenAI/LLM work plus ML components, observability, and best practices in deployment and governance. Strong Python skills are required.

Qualifications

• Python programming with strong fundamentals and API development.

Responsibilities

• GenAI / LLM Engineering: Build LLM-powered applications (chatbots, copilots, summarization, knowledge assistants) using OpenAI/Azure OpenAI/Anthropic/Gemini or open-source LLMs; implement RAG pipelines with data ingestion, chunking, embeddings, vector search, prompt assembly, response generation; improve response quality via prompt engineering and retrieval tuning.
• ML Engineering (non-platform): Develop and deploy ML components (classification, NLP, forecasting) using scikit-learn / PyTorch / TensorFlow; produce production-grade services with FastAPI/Flask; write clean Python modules and follow best practices.
• Deployment Operations (LLMOps exposure): Support deployment to AWS or Azure; establish observability (logs, latency, token usage); assist with quality, safety, governance (PII redaction, content filtering, prompt-injection mitigation, access controls).

Skills

GenAI / LLM engineering

RAG pipelines

Embeddings

Vector databases

Python programming

API development

Cloud deployment (AWS/Azure)

Git

CI/CD

Containerization

Education

Bachelor of Engineering

Tools

FastAPI

Flask

Docker

Kubernetes

LangChain

LangGraph

LlamaIndex

Semantic Kernel

GitHub Actions

Azure DevOps

Jenkins

Airflow

Databricks

Job description

V2 Solutions is seeking a Data Analytics/GenAI Engineer in the Philippines to build LLM-powered apps and RAG pipelines, leveraging embeddings and vector search. You will develop APIs with FastAPI/Flask and deploy to AWS/Azure, ensuring quality and security.

The role emphasizes hands-on GenAI/LLM work plus ML components, observability, and best practices in deployment and governance. Strong Python skills are required.