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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, mid-level AI role with broad LLM/agent requirements drives high competition.
Core LLM and agent engineering skills are transferable, though regulated-gaming experience increases domain sensitivity.
Explicit 3–4 years plus mandatory LLM, agent, cloud, and security skills make screening stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and evolve Flutter's enterprise AI assistant and multi-agent platforms integrating with internal applications and data.
Develop and deploy LLM-based AI applications using LiteLLM, AWS Bedrock, and agentic AI frameworks like LangChain to enhance productivity across 20+ regulated markets.
Own end-to-end AI solutions including context engineering, guardrails for safety and compliance, API integration, and secure AI development in a hybrid work environment.
Minimum Requirements
Bachelor's degree in Computer Science, AI, or related STEM field.
3–4 years of hands-on AI/ML or software development experience.
Proficiency in Python with frameworks such as FastAPI or Flask and asynchronous programming.
Experience with LLM inference platforms like AWS Bedrock or LiteLLM, agentic AI frameworks (e.g. LangChain), and security considerations relevant to AI systems.
Ideal Candidate Profile
Experienced in implementing full-stack AI solutions with ownership from model integration to user-facing interfaces, preferably including React/TypeScript experience.
Strong understanding of advanced AI concepts including context engineering, model tokenomics, guardrails, and multi-agent orchestration.
Comfortable working in regulated environments and cross-functional collaboration across global teams to deliver business-impacting AI solutions.