GenAI/AI Software Engineer (Junior) — RAG & LLM Pipelines

Marktine; Hinoba-an; On-site; PHP 400,000 - 700,000; Full time

Benefits offered by this job

Docker experience

Linux environment

Cloud deployment (AWS/GCP)

Job summary

Marktine Technology Solutions Pvt ltd is hiring an AI / GenAI Software Engineer (Junior / Associate) to build production LLM applications and RAG pipelines. You will integrate multiple LLM APIs, work with vector stores, and drive AI-native coding practices to ship reliable software.

You will collaborate on developing agent workflows, and implement guardrails, tests, and logging to monitor quality and cost. The role emphasizes hands-on coding and rapid delivery in a modern AI-enabled stack.

Qualifications

• Solid foundation in Python with async, REST APIs, and clean OO code.
• Hands-on experience with vector databases and embedding models.
• Daily use of CLI or IDE tools to guide AI agents and inspect code.
• At least one shipped or working project beyond basic chat.

Responsibilities

• Build, optimize, and maintain end-to-end RAG pipelines with ingestion, embeddings, indexing, retrieval, and reranking.
• Integrate LLM APIs into scalable backend services using Python/FastAPI.
• Leverage AI-native coding setups to explore codebases and speed deployments.
• Design structured outputs, tool calling, and agent workflows with LangChain or similar.
• Implement basic evals, guardrails, and logging to reduce hallucinations and manage costs.

Skills

Python programming

REST APIs

Async code

Object-oriented design

Git

Vector databases

Embeddings

AI tooling usage

Tools

Docker

Linux

AWS

GCP

Job description

Marktine Technology Solutions Pvt ltd is hiring an AI / GenAI Software Engineer (Junior / Associate) to build production LLM applications and RAG pipelines. You will integrate multiple LLM APIs, work with vector stores, and drive AI-native coding practices to ship reliable software.

You will collaborate on developing agent workflows, and implement guardrails, tests, and logging to monitor quality and cost. The role emphasizes hands-on coding and rapid delivery in a modern AI-enabled stack.