Senior AI Engineer - Generative & RAG

Diksha Technologies Limited

Jakarta Barat

On-site

IDR 420,000,000 - 900,000,000

Full time

14 days+

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Job summary

Diksha Technologies Limited in Jakarta Barat seeks an experienced AI Engineer to design and implement production-grade AI solutions using Python, RAG, and modern foundation models. You will work with cross-functional teams in an Agile environment, applying prompt engineering, evaluation, and optimization to deliver scalable AI features with secure architectures.

Candidates should have strong programming skills in Python, hands-on experience with retrieval-augmented generation, and familiarity

Qualifications

  • 5+ years of experience as an AI Engineer / Machine Learning Engineer / Generative AI Engineer.
  • Bachelor’s Degree in Computer Science, IT, Engineering, Data Science, AI, or related field.
  • Strong programming experience with Python.
  • Hands-on experience with Retrieval-Augmented Generation (RAG).
  • General understanding of Foundation Models, including LLMs, embeddings, speech-to-text and text-to-speech.
  • Experience with FastAPI and OpenAPI.
  • Experience with LangGraph or similar AI Agent frameworks such as LangChain, AutoGen, CrewAI, etc.
  • Understanding of AI Agent architecture, prompt engineering, evaluation, and optimization.
  • Strong understanding of building secure, scalable, reliable, and production-ready AI solutions.
  • Experience working in Agile/Scrum environments and collaborating with cross-functional stakeholders.

Skills

5+ years of experience as AI Engineer
Python
RAG (Retrieval-Augmented Generation)
Foundation Models
LLMs & Embeddings
Prompt engineering
Agile/Scrum
Production-grade AI

Education

Bachelor’s Degree in Computer Science / IT / Engineering / Data Science / AI or related field

Tools

FastAPI
OpenAPI
LangChain
AutoGen
CrewAI

Job description

Diksha Technologies Limited in Jakarta Barat seeks an experienced AI Engineer to design and implement production-grade AI solutions using Python, RAG, and modern foundation models. You will work with cross-functional teams in an Agile environment, applying prompt engineering, evaluation, and optimization to deliver scalable AI features with secure architectures.

Candidates should have strong programming skills in Python, hands-on experience with retrieval-augmented generation, and familiarity

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