Cynet Health is hiring a Senior AI Prompt Engineering Lead to architect, govern, and optimize complex LLM systems at the intersection of Agentic AI and Hiring Automation. This is a systems engineering role focused on designing cognitive architectures and building deterministic, scalable agents for our production environment.

What You'll Do

Engineer production-grade prompt infrastructures for complex workflows including candidate evaluation, resume parsing, interview automation, and autonomous stakeholder communication.
Deploy advanced prompting paradigms including Chain-of-Thought, Tree-of-Thought, Self-Consistency, and Instruction Hierarchies to ensure high-precision reasoning.
Architect robust guardrails and instruction-following protocols to maintain system safety and prevent jailbreaks.
Build and manage stateful, multi-agent workflows using LangGraph and LangChain.
Design complex, multi-step decision trees that incorporate human-in-the-loop checkpoints, autonomous error recovery, and conditional branching.
Optimize execution paths for latency and token cost without compromising system reliability.
Architect Retrieval-Augmented Generation (RAG) pipelines that ensure high-fidelity context injection and minimize hallucinations.
Manage integration with vector databases such as Pinecone, Weaviate, and Chroma, and implement advanced retrieval strategies.
Define and implement automated evaluation frameworks (LLM-as-a-Judge) to conduct regression testing on prompts.
Make strategic decisions regarding model routing and determine the viability of fine-tuning versus context-window optimization.
Establish strict documentation standards for prompt versioning and reproducibility.

What We're Looking For

Extensive hands-on experience with LangChain and LangGraph is non-negotiable.
Mastery of prompt engineering for frontier models (GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro).
A proven track record of deploying independent AI applications, specifically within HR Tech, Recruitment Automation, or Workflow Orchestration.
Ability to conceptualize and build end-to-end AI systems, moving beyond isolated prompts to integrated cognitive architectures.

Nice to Have

B.Tech/M.Tech from top-tier institutes is highly preferred.
Experience operating in high-velocity, product-first environments where ownership and autonomy are paramount.
Experience with OpenAI Assistants API and Function Calling.
Familiarity with LLM observability platforms (LangSmith, Weights & Biases, PromptLayer).
Expertise in adversarial prompting and security hardening for LLMs.