AI Engineer

Trebecon LLC
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Artificial Intelligence
Applications Architecture
Azure
Big Data
Cloud Engineering
Computer Programming
Python
Machine Learning
MongoDB
Azure
Software Construction
Software Deployment
Software Engineering
Systems Integration
Unstructured Data
Google Cloud Platform
Data Ingestion
Large Language Models
Generative AI
Backend
Build Management
SAPBasis
Deployment Automation
Front End Software Development
Virtual Agents
Api Design
Data Pipelines

Job description

  • Design, develop, test, and maintain full-stack Python-based AI applications.
  • Build and deploy GenAI solutions utilizing Retrieval-Augmented Generation (RAG) frameworks in production environments.
  • Develop and optimize document ingestion pipelines and data processing workflows.
  • Implement and manage vector database solutions, including MongoDB Atlas.
  • Collaborate with product, engineering, and business teams to deliver scalable and reliable AI solutions.
  • Participate throughout the software development lifecycle, from architecture and design through deployment and maintenance.
  • Deploy, monitor, and maintain AI applications on cloud platforms such as Azure and Google Cloud Platform.
  • Integrate Agentic AI and Model Context Protocol (MCP) technologies into enterprise AI solutions.
  • Support AI use cases involving large-scale data processing, reconciliation, and intelligent automation.
  • Create technical documentation and communicate effectively with both technical and non-technical stakeholders.

Requirements

The ideal candidate will possess strong expertise in AI technologies, full-stack Python development, GenAI application architecture, document processing pipelines, and cloud-native AI deployments. This role requires hands-on development experience and the ability to deliver scalable, production-grade AI solutions while collaborating with cross-functional teams and business stakeholders., * 8+ years of hands-on software engineering and programming experience with a focus on AI and Machine Learning.

  • Strong expertise in Generative AI (GenAI), Agentic AI, and Large Language Models (LLMs).
  • Experience working with public cloud platforms, preferably Azure, including Azure AI services and tools.
  • Strong hands-on experience in full-stack Python development, including frontend, backend, and API development.
  • Proven experience designing, building, and deploying production-grade GenAI applications using Retrieval-Augmented Generation (RAG) architectures.
  • Experience developing document ingestion pipelines and processing large-scale unstructured data.
  • Hands-on experience with vector databases, preferably MongoDB Atlas.
  • Strong understanding of software engineering best practices, scalability, and application deployment.

Preferred Qualifications

  • Experience working within healthcare enterprises or healthcare-related AI projects.

  • Experience designing and developing AI/ML models for:

  • Predictive analytics

  • Forecasting

  • Anomaly detection

  • Data-driven decision-making

Experience tuning and optimizing machine learning models.

Experience working with SAP environments and integrations.

Exposure to Google Cloud Platform (Google Cloud Platform).

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