Senior Applied AI Engineer / Forward Deployed Engineer

Expleo•Minneapolis, MN

12d•$75 - $85•Remote

About The Position

Trissential is hiring a Senior Applied AI Engineer / Forward Deployed Engineer to join our client’s team and help design, build, and deploy AI solutions that solve real business problems in complex enterprise environments. This is not a research-only role. It’s an opportunity to work closely with real users, tackle ambiguous challenges, and deliver production-ready AI systems that create measurable business value. If you thrive at the intersection of engineering, data, and business impact—and enjoy turning ideas into working systems—this role is built for you.

Requirements

5+ years of experience in software engineering, applied AI, or enterprise systems
Strong Python development experience building production-grade APIs or services
Hands-on experience with large language model applications
Experience with Azure OpenAI Service, OpenAI APIs, or similar platforms
Proven experience designing and building RAG systems
Strong understanding of prompt design, grounding, context management, and LLM limitations
Experience integrating with enterprise data sources, APIs, and document systems
Ability to work directly with business stakeholders and translate needs into working solutions
Experience working within secure, governed enterprise environments
Strong communication, systems thinking, and problem-solving skills
Ability to balance speed, usability, scalability, and maintainability

Nice To Haves

Experience in a forward-deployed, consulting, or solutions engineering role
Hands-on experience with Azure AI Search or similar vector/hybrid search platforms
Experience with reranking, relevance tuning, and retrieval evaluation
Familiarity with frameworks such as LangChain, LlamaIndex, or Semantic Kernel
Experience with LLM evaluation frameworks and quality measurement
Background in building AI agents or workflow automation systems
Experience with Microsoft 365, SharePoint, Graph API, or Copilot Studio
Familiarity with Azure AI Foundry or similar tooling
Cloud architecture, CI/CD, observability, and production support experience in Azure

Responsibilities

Partner with business and technical stakeholders to understand workflows, challenges, and success metrics
Translate ambiguous problems into clear technical solutions, designs, and delivery plans
Design and build AI-powered applications using LLMs, APIs, and enterprise data systems
Develop production-grade backend services using Python and frameworks like FastAPI or Flask
Build and maintain RAG systems, including: Document ingestion and normalization, Chunking, metadata, and embedding strategies, Vector, keyword, and hybrid search, Reranking and relevance tuning, Source attribution and grounding
Integrate AI solutions with SharePoint, Microsoft Graph, SQL databases, internal APIs, and business applications
Design secure systems that respect access control, governance, and enterprise compliance requirements
Build observable, reliable, and maintainable AI workflows in production environments
Establish evaluation frameworks for LLM systems (accuracy, groundedness, latency, completeness, and failure modes)
Iterate rapidly through prototypes, pilots, and production releases based on user feedback
Collaborate with engineering, data, security, and product teams to ensure adoption and long-term sustainability
Make pragmatic technology choices across Azure OpenAI, Azure AI Search, and open-source tools
Document architecture, decisions, trade-offs, and operational requirements

Benefits

Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
Paid Time Off
Fully Remote Work

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