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Silstone Health
Actively Hiring

Junior AI Engineer

Posted: 3 weeks ago
Hires remotely in
Remote Work Policy

Remote only

Company Location
Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
LLM Frameworks (Langchain, Claude, LLamaIndex) RAG Technologies Embedding Models Vect
RAGs, ChatGPT, Hugging Face, LangChain, LlamaIndex, Transformers, VectorDB

About the job

Jr. AI Engineer
Experience: 1–2 Years

Location: Remote

Employment Type: Full-Time

About the Role
We are looking for an AI Engineer with 1–2 years of hands-on experience to work on cutting-edge AI solutions involving Generative AI, RAG (Retrieval-Augmented Generation), and Agentic AI.

You will collaborate with our engineering team to build, test, optimize, and deploy AI-powered applications.

Key Responsibilities
Build AI applications using LLMs.
Develop and optimize RAG pipelines and Agentic AI workflows.
Integrate AI models with APIs and databases.
Write clean, scalable, and maintainable Python code.
Work with AI frameworks and tools to develop production-ready solutions.
Research and experiment with emerging AI technologies.
Contribute to the design and development of AI-powered products.
Debug, test, and optimize AI applications.
Required Skills
1–2 years of professional experience in AI/ML or AI Engineering.
Strong Python programming skills.
Hands-on experience with Generative AI, RAG, and/or Agentic AI.
Experience with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or similar.
Understanding of vector databases and REST APIs.
Experience working with Git and GitHub.
Understanding of LLM-based application development.
Mandatory Requirements
Active GitHub profile with public repositories showcasing AI/LLM, RAG, or Agentic AI projects.
Hands-on experience building AI-powered applications.
Must have a personal laptop capable of handling AI development tasks.
Must have a reliable high-speed internet connection for remote collaboration.
Good to Have
Experience with FastAPI or Flask.
Exposure to Docker and cloud platforms such as AWS, Azure, or GCP.
Knowledge of embeddings and vector databases.
Experience with AI agents and tool/function calling.
Familiarity with prompt engineering and LLM evaluation.
What We Offer
Full-time permanent remote opportunity.
Opportunity to work on real-world Generative AI and Agentic AI products.
Exposure to modern AI technologies and frameworks.
Collaborative and growth-oriented engineering environment.

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