Ai Automation Engineer

# Ai Automation Engineer ## Company Overview Design, develop, and deploy tailored AI and automation solutions based on client-specific needs and objectives. ● Translate business problems into scalable AI workflows using tools such as Python, n8n, OpenAI APIs, and vector databases. ● Act as a technical partner for retainer clients—owning solution delivery, refinement, and maintenance. ● Create technical documentation, client demos, and internal playbooks to support reuse and scalability. ● Stay current on emerging AI tools, libraries, and methodologies to continuously enhance solution quality and delivery speed. **Success in This Role Looks Like:** ● Solutions delivered to clients consistently meet or exceed expectations and show measurable business impact (e.g., time saved, cost reduced, conversion increased). ● Retainer clients view you as a go-to engineering partner—relying on your expertise to expand AI usage and optimize existing workflows. ● You bring creativity and a strategic approach to problem solving and your solutions designs. **Qualifications:** ● 3–5+ years of experience in software engineering. ● Demonstrated project work in AI and automation (e.g., GPT APIs, workflow automation tools, embeddings, etc.) ● Driven to innovate to find better and more efficient solutions to daily challenges. ● Proven ability to deliver custom AI solutions with real business outcomes. ● Strong experience with Python and relevant frameworks, and familiarity with prompt engineering, RAG pipelines, and integration tools (like n8n, Make, etc). ● Excellent problem-solving skills and ability to translate ambiguous client goals into technical implementations. ● Experience supporting client relationships and managing multiple priorities in parallel. ● Self-directed, collaborative, and excited by both deep technical builds and scrappy prototyping. **Nice to Have:** ● Experience building and maintaining SaaS or agentic platforms. ● Familiarity with MLOps tools, vector databases (e.g., Pinecone, Weaviate), and deploying solutions in cloud environments like Azure. ● Prior consulting experience or work in fast-paced startup environments ## Job Summary - - Not specified. ## Salary - Not specified. ## Growth Opportunities - Not specified. ## Benefits - Not specified.