Senior AI Consultant / Principal AI Engineer – LLM Strategy & Production AI Systems
We are looking for an experienced Senior AI Consultant / Principal AI Engineer to provide technical consultation and guidance on an existing or new AI-powered product.
This engagement is consultative and production-focused, aimed at helping teams design, validate, and de-risk AI features before or during implementation. The work emphasizes architecture, decision-making, and integration strategy, not academic research or live coding exercises.
Possible scope includes:
• Advising on the design of AI-powered features for real production systems
• Consulting on LLM-based functionality (chat, assistants, document processing, RAG, etc.)
• Defining prompt strategies, AI workflows, and guardrails aligned with business goals
• Reviewing or advising on backend integration (APIs, data sources, system boundaries)
• Assessing stability, scalability, and performance risks in existing AI implementations
• Providing clear technical recommendations, documentation, or implementation plans
Implementation support may be included asynchronous and scoped, depending on project needs.
This engagement has a clear scope and quick turnaround.
If collaboration goes well, there is potential for ongoing advisory or extended technical involvement.
Typical tech environment (varies by task):
Python | JavaScript | Node.js | REST APIs | LLMs | NLP | Cloud (AWS) | React
Apply tot his job
Apply To this Job
This engagement is consultative and production-focused, aimed at helping teams design, validate, and de-risk AI features before or during implementation. The work emphasizes architecture, decision-making, and integration strategy, not academic research or live coding exercises.
Possible scope includes:
• Advising on the design of AI-powered features for real production systems
• Consulting on LLM-based functionality (chat, assistants, document processing, RAG, etc.)
• Defining prompt strategies, AI workflows, and guardrails aligned with business goals
• Reviewing or advising on backend integration (APIs, data sources, system boundaries)
• Assessing stability, scalability, and performance risks in existing AI implementations
• Providing clear technical recommendations, documentation, or implementation plans
Implementation support may be included asynchronous and scoped, depending on project needs.
This engagement has a clear scope and quick turnaround.
If collaboration goes well, there is potential for ongoing advisory or extended technical involvement.
Typical tech environment (varies by task):
Python | JavaScript | Node.js | REST APIs | LLMs | NLP | Cloud (AWS) | React
Apply tot his job
Apply To this Job