Interview- 2 Step (also screening HACKERANK ROUND)( & coder pad test with client)
Top Skills - Must Haves
- Agentic AI
- Agile
- Development
- jenkins
- Design
- Restful api/Fast API
- mysql
- aws
- javascript
- github
- unit testing
- Python
- Sql
- Java
- Automation
Top Skills' Details
- Experience architecting multiagent systems capable of planning, tool use, and coordinated execution across complex workflows. Experience designing and optimizing RAG pipelines, including hybrid retrieval, reranking, and contextwindow strategies. Finetuning and evaluation of language models experience of varying sizes for domainspecific reasoning and summarization. Must have developed prompt engineering frameworks, guardrails, and automated evaluation suites for agent reliability. Senior in building scalable ML services and APIs for production deployment in distributed environments.
Secondary Skills - Nice to Haves
- Cloud
- Api
- J2ee
- Web service
- Rest
- Kubernetes
- Docker
- Git
Job Description
PG is partnered with a software company in Raleigh that needs to hire Senior AI Engineers for their flagship product, which accounts for over half of the enterprise's revenue, bringing in over $2 billion dollars each year. The product is an online legal research solution that allows end users to search and cite published cases, laws, case opinions and judgments, briefs, motions, and more. The product is the winner of the prestigious 2013 Codie Award for best legal information system. It s a large-scale product that is used in over 100 countries and it utilizes information from leading legal industry sources that is searchable in under two seconds via cutting-edge technology. Job Description:
Seeking highly skilled AI Engineers with expertise in Multi-Agent Retrieval-Augmented Generation (RAG) and strong Python programming skills to join our innovative team. The ideal candidate will have a deep understanding of AI and machine learning principles, experience with RAG models, and a passion for developing cutting-edge AI solutions.
Key Responsibilities:
Test, evaluate and implement AI models with a focus on Retrieval-Augmented Generation (RAG).
Strong prompt engineering and prompt testing skills to derive the desired outcome
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Optimize and fine-tune RAG models for performance and scalability cost saving.
Conduct research and stay up-to-date with the latest advancements in AI and machine learning.
Write clean, efficient, and maintainable code in Python.
Perform data preprocessing, feature engineering, and model evaluation.
Troubleshoot and debug AI models and applications in a mono-repo settings.
Document AI models, processes, and workflows.
Qualifications:
Proven experience as an AI Engineer or similar role.
Strong proficiency in Python programming.
In-depth knowledge of Retrieval-Augmented Generation (RAG) models.
Proven experience in prompt engineering
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
Proficiency in data preprocessing and feature engineering techniques.
Excellent problem-solving skills and attention to detail.
Strong communication and teamwork abilities.
Preferred Skills:
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
Knowledge of natural language processing (NLP) techniques.
Familiarity with version control systems (e.g., Git).
Experience with deploying AI models in production environments.
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