Overview
At Commercial Technology & Innovation (CT&I), we’re reshaping the future of business by embedding AI, automation, and engineering into solutions that drive real-world impact. Our mission is to power possibility—partnering with bold thinkers to turn vision into reality and transform industries at scale.
We’re looking for passionate, curious, and purpose-driven engineers who want to make a difference. If you’re ready to innovate with intent, drive business outcomes, and help lead the AI-enabled transformation of one of the world’s most trusted organizations, your journey starts here.
The Opportunity
We’re seeking an innovative and versatile AI Engineer who combines strong machine learning expertise with modern application development skills. In this role, you’ll design and deploy AI-powered solutions that are scalable, user-friendly, and integrated within real-world applications. You’ll work cross-functionally with data scientists, ML engineers, backend / frontend developers, and product teams to deliver impactful AI products.
Responsibilities
Design and deploy AI-powered solutions that are scalable and integrated into real-world applications. Collaborate with data scientists, ML engineers, backend / frontend developers, and product teams to deliver AI products.
Qualifications
Basic Qualifications :
- Minimum Degree Required : Bachelor Degree
- Minimum Years of Experience : 3 years
Preferred Qualifications :
Degree Preferred : Master DegreePreferred Fields of Study : Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related fieldPreferred Knowledge / Skills :
Designing, training, and deploying machine learning models and Large Language Models (LLMs) into production environmentsDeveloping scalable, cloud-native microservices using Docker and KubernetesBuilding end-to-end AI applications integrated into web, mobile, or API-first platformsManaging CI / CD pipelines and observability for AI systems using GitHub Actions and MLflowImplementing vector databases, Retrieval-Augmented Generation (RAG) pipelines, and orchestration tools like LangChain and LlamaIndexBuilding and integrating multi-agent frameworks (e.g., LangGraph, LangFlow) to enable autonomous AI task executionTranslating complex business problems into software-engineered AI solutions aligned with best practicesDeploying on cloud platforms (AWS, GCP, Azure) and leveraging services such as SageMaker, Vertex AI, or DatabricksProficiency in Python and ML frameworks like PyTorch, TensorFlow, and Hugging Face TransformersCollaborating in cross-functional engineering environments including front-end (React, Next.js) and platform teamsFamiliarity with LLM providers (OpenAI, Anthropic, Meta, etc.) and working with chat / image-based model outputsHands-on experience with agent-based frameworks for intelligent orchestrationAdditional experience or qualifications considered a plus :
Delivering AI applications using RAG, vector databases, and agent-based frameworksWorking with multimodal inputs / outputs (text, image, audio)Fine-tuning models on domain-specific dataApplying Responsible AI practices including governance, bias mitigation, and ethicsEnsuring consistency and quality in model outputs in production or regulated environmentsContributing to open-source projects or AI / ML publicationsFull-stack development experience across front-end, back-end, and database layersSeniority and Employment
Mid-Senior levelFull-timeJob Function and Industries
Information Technology, Consulting, and EngineeringIndustries : IT Services and IT Consulting, Software Development, and IT System Custom Software DevelopmentData about referrals and location is not essential to the role description and has been omitted to focus on job-related content.
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