Copy of Forward Deployed AI Engineer - IFS Loops
- Compensation
- Not disclosed
- Location
- Colombo, Western Province, lk
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Full time
- Experience
- 2+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 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
Full description
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
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
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.