AI Engineer

Intellibee Inc; Malvern; On-site; GBP 89,000 - 111,000; Full time

Job summary

Intellibee Inc in Malvern, PA seeks an AI Engineer to lead integration of advanced AI into flagship products. You will define standards for AI-ready data curation and architect scalable AI data strategies.

Responsibilities include designing production-grade AI tools, executing PoCs, and guiding AI methodologies across business logic. Strong Python, AWS, and distributed systems experience are essential.

Qualifications

• 6-8+ years of experience in AI/ML design and implementation.
• 8+ years of software engineering experience.
• 3+ years hands-on AI/ML engineering experience.
• Advanced Python programming skills.
• Experience with Generative AI and Large Language Models.
• Experience designing Retrieval-Augmented Generation (RAG) architectures.
• Knowledge of vector databases and embedding models.
• Experience deploying AI solutions on AWS cloud platforms.
• Experience with CI/CD pipelines and DevOps practices.
• Strong understanding of distributed systems and scalable backend architectures.

Responsibilities

• Lead integration of advanced AI into flagship products.
• Design proprietary AI tools and execute high-impact PoCs.
• Architect data structures for robust AI/ML scaling.
• Collaborate with stakeholders to align AI capabilities with business needs.

Skills

AI/ML design & implementation

Advanced Python

Production AI

Generative AI & LLMs

RAG architectures

Distributed systems

CI/CD pipelines

Education

Bachelor’s or Master’s in CS/AI/Data Science/Software Eng

Tools

AWS SageMaker

AWS Bedrock

Databricks

Kubernetes

Docker

GitHub Actions

Job description

AI Engineer

AI Engineer, Malvern, PA, US

Job Description

Technical Stack & Requirements: AI/ML Stack: Amazon SageMaker, AWS Bedrock. Design Focus: Vector databases, knowledge graphs, and semantic layers. Databricks: Experience with Databricks and Databricks Genie is highly desirable. Core Mandate: Define the standards for "AI-ready" data curation and direct the integration of AI methodologies into existing Service Experience and Financials business logic. Qualifications: 6-8+ years of experience. Strong background in AI/ML design and implementation. Ability to architect semantic layers and knowledge graphs. Experience with GitHub Actions for managing codebases. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. 8+ years of software engineering experience. 3+ years of hands-on AI/ML engineering experience. Advanced Python programming skills. Strong experience building production-grade AI applications. Experience with Generative AI and Large Language Models. Experience designing Retrieval-Augmented Generation (RAG) architectures. Knowledge of vector databases and embedding models. Experience deploying AI solutions on AWS cloud platforms. Experience with CI/CD pipelines and DevOps practices. Strong understanding of distributed systems and scalable backend architectures. Excellent communication and stakeholder management skills. Preferred Qualifications Experience with Agentic AI frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel). Experience with AWS Bedrock, Amazon SageMaker, Azure OpenAI, or Vertex AI. Experience implementing Responsible AI frameworks. Financial services, fintech, or investment management domain experience. Experience building recommendation engines, intelligent assistants, or AI copilots. Knowledge of Kubernetes, Docker, and cloud-native microservices. AWS AI/ML certifications or equivalent.

Job Responsibilities

We are looking for a visionary AI Engineer to lead the integration of advanced artificial intelligence into our flagship products. You will be at the forefront of innovation, designing proprietary AI tools, executing high-impact Proof of Concepts (POCs), and architecting the data structures necessary for robust AI/ML scaling.