Agentic AI ArchitectureDesign and implement production-grade agentic systems using models such as Claude. Agent orchestration, tool calling, function calling, multi-agent architectures, planning and task decomposition, agent memory, context management, state machines and workflow engines, long-running agents, human-in-the-loop systems, autonomous execution, recovery and retry mechanisms, observability, and evaluation. You understand the difference between LLM → Agent → Workflow → Autonomous System, and when each is appropriate.
Agentic Loops & Self-OptimizationA major part of the role is building closed-loop systems: Goal → Plan → Execute → Observe → Evaluate → Learn → Re-plan → Execute. Systems that evaluate their own outputs, detect failed actions, identify root causes, adjust strategies, optimize prompts and tool selection, keep what works, roll back what does not, and improve over time. Reflection, critique, self-evaluation, feedback loops, reward signals, evaluation frameworks, automated experimentation, memory, retrieval, state management.
Claude / LLM EngineeringDeep practical experience with Claude/Anthropic APIs is highly desirable. Tool use, structured outputs, streaming, context management, prompt engineering, system prompts, long-context workflows, model routing, token optimization, latency and cost optimization, context compression, agent memory, LLM evaluation. Experience with other frontier models (OpenAI, Gemini, Llama or equivalent) is a plus.
...
Collaborate with the sales team and lead deep-dive sessions with customers to understand their current infrastructure, pain points, and future goals, and translate them into technical solutions.
Conduct live product demonstrations, presentations, and manage Proof of Concept (PoC) evaluations to prove the value of proposed solutions.
Provide pre-sales support, including preparing bill of materials, technical proposals, and technical specifications.
...
Collaborate with the sales team and lead deep-dive sessions with customers to understand their current infrastructure, pain points, and future goals, and translate them into technical solutions.
Conduct live product demonstrations, presentations, and manage Proof of Concept (PoC) evaluations to prove the value of proposed solutions.
Provide pre-sales support, including preparing bill of materials, technical proposals, and technical specifications.
...