Live opening · Posted 2 days ago
The key details from the original listing.
Live timing from JobBeeper.
Description supplied by the original job listing.
We are looking for an AI Engineer with 3-5 years of experience to build and deploy Agentic AI solutions. The ideal candidate should have hands-on experience with LLMs, AI agents, RAG pipelines, prompt engineering, and integrating AI models into production applications.
Responsibilities:
Design, develop, and deploy AI agents and autonomous workflows.
Build and optimise RAG (Retrieval-Augmented Generation) systems.
Integrate LLMs such as GPT, Claude, Gemini, or open-source models into applications.
Develop multi-agent systems for complex business use cases.
Work with vector databases, embeddings, and knowledge retrieval frameworks.
Collaborate with product, engineering, and data teams to deliver AI-powered features.
Monitor, evaluate, and improve AI system performance in production.
Requirements:
3-5 years of software engineering experience with Python.
Hands-on experience with Agentic AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar.
Strong understanding of LLMs, Prompt Engineering, RAG, and AI evaluation techniques.
Experience with vector databases (Pinecone, Weaviate, Chroma, FAISS, etc. ).
Knowledge of REST APIs, microservices, and cloud platforms (AWS/GCP/Azure).
Experience deploying AI applications in production environments.
Good to Have:
Experience with fine-tuning/open-source LLMs.
Knowledge of MLOps, Kubernetes, and Docker.
Exposure to AI observability and monitoring tools.
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field.
Experience
3-5 yrs
Recently tracked roles with full details and direct application links.