AI/RAG engineer

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Job Title: AI/RAG Engineer

CoinMarketCap is currently seeking a skilled AI/RAG Engineer to join their dynamic team. This role will primarily focus on the development of AI search agents utilizing various frameworks and implementing state-of-the-art technologies in the field of Artificial Intelligence. The position is full-time and offers a chance to work remotely from the United Arab Emirates.

Responsibilities

As an AI/RAG Engineer, you will be responsible for:

• Building AI search agents, including frameworks such as ReAct, LangGraph, Dify, or CrewAI.
• Creating end-to-end retrieval-augmented generation (RAG) pipelines that include processes from data ingestion to managing hybrid vector searches, preferably using Opensearch.
• Operating and monitoring vector/hybrid indexes (like OpenSearch) within production environments.
• Implementing grounding techniques to provide citation links that trace generated answers back to their specific source passages.
• Automating evaluation metrics using methods such as synthetic QA and retrieval hit-rate tracking to ensure continuous performance accuracy and detect any shifts in parameters.
• Orchestrating external tools or databases while efficiently monitoring their latency and costs during large-scale production.

Required Skills and Qualifications

Candidates looking to apply for this position must meet the following qualifications:

• A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related area.
• A minimum of 3 years experience in developing AI systems, specifically in retrieval-augmented generation (RAG) methods.
• A demonstrable track record in building and optimizing comprehensive RAG pipelines.
• Experience in the development of AI search agents using frameworks such as ReAct, LangGraph, Dify, or CrewAI.
• Proficiency with OpenSearch or similar vector search technologies.
• Strong programming skills in Python and familiarity with relevant machine learning frameworks, including PyTorch and TensorFlow.
• A solid understanding of data handling techniques like ingestion, chunking, embeddings, and different hybrid vector search methods.
• Experience in the management of production environments for AI systems.
• Knowledge regarding grounding and citation tactics for AI-generated outputs.
• Understanding of synthetic QA datasets and evaluation metrics used in AI performance assessments.

Salary Information

The job listing does not provide specific salary information. However, prospective candidates can expect a compensation package that is competitive and aligns with industry standards for roles in AI and machine learning, particularly from a prominent company such as CoinMarketCap.

Benefits of the Position

Apart from competitive pay, joining CoinMarketCap provides unique opportunities to be at the forefront of AI technology. The remote working environment offers flexibility and the chance to collaborate with diverse and innovative teams. Moreover, working with such a reputable company can enhance one’s career trajectory in the tech field, especially within AI development.

Application Process

Interested candidates are encouraged to view the original job posting and apply if they meet the qualifications above. This position is a great opportunity for those passionate about AI, looking to build impactful technological solutions in a remote work setting

In summary, this role as an AI/RAG Engineer at CoinMarketCap focuses on pioneering the development of AI search technologies and frameworks, requiring strong programming skills, significant experience in artificial intelligence, machine learning, and a solid educational background. Candidates should prepare applications that showcase their credentials and experiences in these areas.

This job offer was originally published on himalayas.app