Live opening · Posted 18 hours ago
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About the role
Description supplied by the original job listing.
Bloom AI is looking for a hands-on AI Engineer with 3-4 years of experience building and deploying AI solutions, ideally for marketing teams. You will develop multi-agent workflows that help teams improve market intelligence, content creation, personalization, campaign execution, and performance analysis. This is a practical engineering role spanning solution design, development, and deployment. You will work closely with clients, consultants, and other engineers to turn business workflows into reliable AI solutions.
Responsibilities:
Design and build multi-agent solutions for marketing use cases.
Develop agents that combine enterprise data, external signals, and business context.
Build workflow orchestration, tool integrations, APIs, and retrieval pipelines.
Deploy solutions within clients' Microsoft environments.
Establish evaluation, monitoring, and human-review mechanisms.
Translate marketing requirements into clear technical designs.
Participate in client discussions, demonstrations, and solution workshops.
Requirements:
3-4 years of software, data, or AI engineering experience.
Experience building production-grade generative AI or agentic applications.
Good understanding of models, APIs, and MCPs.
Hands-on experience with multi-agent orchestration, RAG, LLM APIs, and structured outputs.
Understanding of marketing workflows such as content, campaigns, customer intelligence, personalization, or analytics.
Strong Python skills and experience working with APIs and cloud services.
Familiarity with evaluation, observability, security, and responsible AI practices.
Strong problem-solving and communication skills.
Preferred Experience:
Microsoft Copilot Studio, Azure AI Foundry/Studio, and Azure OpenAI.
Power Platform, Microsoft Fabric, SharePoint, or Dynamics 365
Building AI solutions within enterprise environments.
Working directly with marketing or commercial teams.
Skills
AI, GenAI, LLM, Python, RAG, artificial intelligence, large language model, retrieval augmented generation, retrieval pipeline, retrieval-augmented generation
Experience
3-7 yrs
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