At a Glance
- Tasks: Design and deploy AI solutions for enterprise customers, solving real-world problems.
- Company: Join a forward-thinking tech company focused on innovative AI applications.
- Benefits: Competitive salary, flexible time off, 401K contributions, and tuition assistance.
- Other info: Collaborative culture with opportunities for community involvement and professional growth.
- Why this job: Make a real impact by delivering cutting-edge AI solutions in a dynamic environment.
- Qualifications: 2-5 years in software engineering with Python and AI/ML frameworks experience.
The predicted salary is between 170000 - 170000 £ per year.
About the Role
As a Forward Deployed AI Engineer, you’ll work directly with enterprise customers to deliver custom, production‑ready AI solutions that solve real‑world problems. You’ll lead the design and deployment of intelligent agents across customer workflows—owning everything from discovery and prototyping to configuration, testing, and launch. This is a fast‑paced, hands‑on role that combines engineering, customer collaboration, and applied AI. You will serve as a critical link between our product and the customer’s needs—ensuring rapid value delivery and laying the foundation for long‑term success.
What You’ll Do
- Partner with enterprise customers to scope and implement AI Agent use cases across complex workflows
- Integrate IFS Loops platform with customer systems
- Tune agent behavior and logic to deliver measurable outcomes (e.g., lower costs, increase in efficiency, fewer errors)
- Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption
- Collaborate closely with Product, Engineering, and Customer Success to feed customer insights into the roadmap
- Document technical decisions and hand off stable deployments to customer engineering or support teams
Qualifications
What We’re Looking For
- 2–5 years of experience in a software engineering, solutions engineering, or ML deployment role
- Proficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)
- Familiarity with building LLM applications, RAG systems, or conversational AI workflows
- Experience integrating with enterprise systems via APIs or middleware (e.g. Salesforce, ServiceNow, SAP, Oracle)
- Ability to translate business problems into technical solutions—and deliver them fast
- Strong interpersonal skills; you’re just as comfortable on a whiteboard with a customer as you are in code
- Bias toward action, ownership, and continuous learning in dynamic environments
Nice to Have
- Background in SaaS, customer experience, support operations, or manufacturing systems
- Experience deploying AI in mission‑critical environments
- Prior work with enterprise AI platforms or multi‑agent orchestration
Additional Information
What We’re Offering
- Salary Range: List $150,000 to $170,000 annually + bonus
- Flexible paid time off, including sick and holiday
- 401K with Company contribution
- Flexible spending accounts
- Life insurance and disability benefits
- Tuition assistance
- Community involvement and volunteering events
Contact Details:
Copperleaf Technologies Inc. Recruitment Team
