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.