Kforce IncRemote
Enterprise AI Solutions Engineer - Remote
United States of America
Contract
2 hours ago
H1B Sponsor Likely
Key skills
PythonAPI integrationData manipulationAutomation pipelinesLarge language modelsRetrieval-Augmented Generation (RAG)Agentic orchestration frameworksSQLFinancial data queryingOperational data queryingCloud environmentsGitAILLMLarge Language ModelsRAGLangChainLlamaIndexAgenticAutoGenAWSAzureGCPSource ControlPrototypingCommunication
About this role
Kforce Inc is building an enterprise AI capability and is seeking an Enterprise AI Solutions Engineer for a remote role. This position involves partnering with senior business leaders to translate business problems into AI solutions, managing the full lifecycle from prototyping to production readiness.
Responsibilities:
- Rapidly design and build AI-powered prototypes for business and executive use cases, delivering working demos in days rather than months
- Own end-to-end delivery of AI solutions, from initial scoping through production readiness
- Integrate and orchestrate LLMs across multiple providers using modern Python-based tooling
- Build agentic workflows that combine LLM reasoning with enterprise data, APIs, and systems
- Develop lightweight user interfaces that make AI capabilities accessible to non-technical users
- Partner closely with finance and business leaders to identify high-ROI AI opportunities and deliver measurable outcomes
- Present AI solutions clearly to senior stakeholders using plain, business-focused language
Requirements:
- 3+ years of software development or solutions engineering experience, including 1-2 years of working hands-on with large language models in production or near-production environments
- Strong Python skills, including API integration, data manipulation, and automation pipelines
- Experience working with multiple LLM providers and articulating tradeoffs across cost, latency, context limits, and tool use
- Hands-on experience with Retrieval-Augmented Generation (RAG) and at least one agentic orchestration framework (e.g., LangChain, LlamaIndex, CrewAI, AutoGen)
- SQL proficiency, with experience querying financial or operational data
- Demonstrated ability to build prototypes for non-technical business stakeholders, not just developer tools
- Experience working in cloud environments (Azure, AWS, or GCP) and using Git for source control
- Strong communication skills, with the ability to explain AI concepts clearly to senior and non-technical audiences