AI Engineer, AI Builder
- V3IT Solutions
56 Min Ago
NA
C2C
Springfield-IL
8-10 Years
Required Skills: REST APIs, JSON, databases, AI agents
Job Description
We are looking for a hands-on AI Engineer / AI Builder to prototype, develop, and deploy internal AI-powered tools and workflow automations. The ideal candidate is a strong coder who can quickly turn business requirements into working AI solutions and proof-of-concepts.
Key Responsibilities:
- Build and prototype AI-powered internal tools, applications, and automations.
- Develop solutions using Python and modern AI/ML frameworks and APIs.
- Integrate LLMs, Generative AI APIs, and AI agents into internal workflows.
- Build RAG-based applications, document processing, chatbots, and intelligent assistants.
- Develop integrations with internal systems, databases, APIs, and SaaS platforms.
- Create rapid POCs/MVPs, test ideas, and iterate based on user feedback.
- Automate repetitive business processes using AI and workflow automation.
- Work with stakeholders to identify high-value opportunities for AI adoption.
- Deploy and maintain AI prototypes in cloud or internal environments.
- Ensure solutions are secure, scalable, reliable, and practical for business use.
Required Skills:
- Strong hands-on Python development experience.
- Experience building Generative AI / LLM applications.
- Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM APIs.
- Strong understanding of prompt engineering, embeddings, vector databases, and RAG.
- Experience with REST APIs, JSON, databases, and system integrations.
- Experience building AI agents or agentic workflows.
- Familiarity with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
- Experience with Git, Docker, and cloud platforms (AWS/Azure/GCP).
- Strong problem-solving skills and ability to work independently in a fast-paced environment.
Nice to Have:
- Experience with Power Automate, n8n, Zapier, or similar automation platforms.
- Experience with FastAPI, Streamlit, or similar tools for quickly building internal applications.
- Experience with Azure AI / AWS Bedrock / Google Vertex AI.
- Knowledge of AI security, governance, and responsible AI practices.
