AI Engineer – LLMs & Python
Intellibus · New York, New York, United States
FULL TIMEpermanent
Job Description
Intellibus designs and engineers technology platforms for established FinTech and financial-services firms. We build production-grade systems that help organizations solve complex business problems through software engineering, data, and emerging technologies.
Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying.
We are looking for engineers who can turn AI capabilities into practical, reliable applications that deliver measurable business value.
The AI Engineer RoleWe are hiring hands-on AI Engineers to design, develop, integrate, and deploy AI-powered applications using large language models (LLMs), Python, prompt engineering, SQL, and modern data platforms.
You will work across the AI application lifecycle, from understanding business requirements and preparing data to building LLM integrations, evaluating outputs, and deploying production-ready solutions.
This is an engineering role, not a research-only or strategy-only position. We need candidates who can write code, work directly with data, troubleshoot technical issues, and deliver functioning applications.
Experience with Microsoft Azure and Microsoft Fabric is especially relevant.
What You Will DoAI & LLM EngineeringBuild and integrate applications powered by large language models.Develop, test, and refine prompts to improve response quality, consistency, and relevance.Design reusable AI workflows and integrate LLM capabilities into existing enterprise applications.Evaluate model outputs, manage edge cases, and improve the reliability of AI-generated responses.Apply appropriate validation, security, and error-handling practices.
Python DevelopmentDevelop production-quality Python applications, services, and automation.Build APIs and backend components that connect AI models, data sources, and enterprise systems.Write maintainable code, perform debugging, and contribute to testing and deployment.
Data Engineering & ModelingWork with SQL, relational data, and structured or unstructured data sources.Develop data models and data-processing workflows that support AI applications.Prepare, validate, transform, and retrieve data for LLM-based solutions.Use Microsoft Fabric and Azure data services to support data integration and AI workflows.
Azure & Production DeliveryDevelop and deploy AI-enabled solutions using Microsoft Azure.Integrate AI services with enterprise applications, APIs, and data platforms.Monitor application performance, troubleshoot issues, and optimize reliability.Collaborate with engineering and business teams to deliver working solutions against defined requirements.
What Sets You ApartWe are looking for engineers who demonstrate several of the following:
You have hands-on experience building applications using Python.You have practical experience working with LLMs, generative AI, and prompt engineering.You understand how to integrate AI capabilities into real applications rather than relying solely on AI tools.You have strong SQL skills and an understanding of data modeling.You have experience with Microsoft Azure and, ideally, Microsoft Fabric.You can work with APIs, data pipelines, and enterprise application integrations.You understand testing, debugging, and production deployment.You can explain technical decisions and deliver solutions independently.
Technology EcosystemAI: LLMs, generative AI, prompt engineering, AI application development, model evaluationProgramming: Python, APIs, backend developmentData: SQL, data modeling, data transformation, data integrationCloud: Microsoft Azure, Azure AI servicesData Platform: Microsoft FabricEngineering Practices: Testing, debugging, deployment, monitoring, production support
Compensation: $75 - $85 / Hour
Our ProcessInitial Screening: 15-minute video call with the Recruiting Team.Assessments: One proctored GQ multiple-choice assessment and a SlideWare presentation (under 2 hours). Interview Rounds: Three 30-minute video interviews with the Technical Team, Project Lead, and Executive Team.Offer: Final decision and job offer. xzbcwsv
If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.
Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying.
We are looking for engineers who can turn AI capabilities into practical, reliable applications that deliver measurable business value.
The AI Engineer RoleWe are hiring hands-on AI Engineers to design, develop, integrate, and deploy AI-powered applications using large language models (LLMs), Python, prompt engineering, SQL, and modern data platforms.
You will work across the AI application lifecycle, from understanding business requirements and preparing data to building LLM integrations, evaluating outputs, and deploying production-ready solutions.
This is an engineering role, not a research-only or strategy-only position. We need candidates who can write code, work directly with data, troubleshoot technical issues, and deliver functioning applications.
Experience with Microsoft Azure and Microsoft Fabric is especially relevant.
What You Will DoAI & LLM EngineeringBuild and integrate applications powered by large language models.Develop, test, and refine prompts to improve response quality, consistency, and relevance.Design reusable AI workflows and integrate LLM capabilities into existing enterprise applications.Evaluate model outputs, manage edge cases, and improve the reliability of AI-generated responses.Apply appropriate validation, security, and error-handling practices.
Python DevelopmentDevelop production-quality Python applications, services, and automation.Build APIs and backend components that connect AI models, data sources, and enterprise systems.Write maintainable code, perform debugging, and contribute to testing and deployment.
Data Engineering & ModelingWork with SQL, relational data, and structured or unstructured data sources.Develop data models and data-processing workflows that support AI applications.Prepare, validate, transform, and retrieve data for LLM-based solutions.Use Microsoft Fabric and Azure data services to support data integration and AI workflows.
Azure & Production DeliveryDevelop and deploy AI-enabled solutions using Microsoft Azure.Integrate AI services with enterprise applications, APIs, and data platforms.Monitor application performance, troubleshoot issues, and optimize reliability.Collaborate with engineering and business teams to deliver working solutions against defined requirements.
What Sets You ApartWe are looking for engineers who demonstrate several of the following:
You have hands-on experience building applications using Python.You have practical experience working with LLMs, generative AI, and prompt engineering.You understand how to integrate AI capabilities into real applications rather than relying solely on AI tools.You have strong SQL skills and an understanding of data modeling.You have experience with Microsoft Azure and, ideally, Microsoft Fabric.You can work with APIs, data pipelines, and enterprise application integrations.You understand testing, debugging, and production deployment.You can explain technical decisions and deliver solutions independently.
Technology EcosystemAI: LLMs, generative AI, prompt engineering, AI application development, model evaluationProgramming: Python, APIs, backend developmentData: SQL, data modeling, data transformation, data integrationCloud: Microsoft Azure, Azure AI servicesData Platform: Microsoft FabricEngineering Practices: Testing, debugging, deployment, monitoring, production support
Compensation: $75 - $85 / Hour
Our ProcessInitial Screening: 15-minute video call with the Recruiting Team.Assessments: One proctored GQ multiple-choice assessment and a SlideWare presentation (under 2 hours). Interview Rounds: Three 30-minute video interviews with the Technical Team, Project Lead, and Executive Team.Offer: Final decision and job offer. xzbcwsv
If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.
Details
| Company | Intellibus |
| Location | New York, New York, United States |
| Type | FULL TIME |
| Niche | tech |
| Experience | permanent |