We help the world Be Everyday Ready™
Today's threatscape is relentless. So are we. At Cyderes, we specialize in building practical IAM, exposure management, and risk programs, and stopping active threats fast with MDR that works with your existing security tools — all augmented by AI and driven by seasoned operators. Our tireless global team is laser-focused on cybersecurity, arming organizations with the people, platforms, and perspectives they need to conquer whatever tomorrow throws their way.

Role Summary

We are hiring a Full-Stack AI Engineer to design, build, and operate production-grade agentic AI systems. The role focuses on prompt engineering, PromptOps, Python backend services, Azure-native cloud architecture, and full-stack delivery of reliable AI workflows at scale.

Responsibilities

Prompt Engineering & Agentic Systems
Design, test, and optimize enterprise-grade prompts, system instructions, schemas, and agent workflows
Build multi-step agentic pipelines, self-refining loops, and deterministic fallback logic
Implement PromptOps: versioning, evaluations, regression testing, hallucination mitigation, token optimization, and governance
Build RAG pipelines, vector search, memory layers, and grounding strategies
Backend & Full-Stack Engineering
Build and maintain Python-based microservices (FastAPI, async patterns, REST APIs)
Deliver full-stack AI applications (React, TypeScript) used by analysts for multi-turn AI interactions
Manage GitHub, CI/CD, testing, branching, and release automation
Integrate AI services via serverless, containerized, and event-driven architectures
Azure Cloud & Infrastructure
Deploy AI workloads on Azure App Services, Functions, AKS, Logic Apps, Event Grid
Implement IaC using Azure Bicep / ARM
Enforce security, RBAC, Key Vault, secrets management, and runtime policies
Optimize cost, performance, observability, and reliability
ML, Data & Observability
Build and maintain embeddings, feature pipelines, telemetry, and drift detection
Perform data analysis and experimentation using KQL and Splunk SPL
Support model selection, fine-tuning strategies, safety constraints, and evaluation frameworks
Cross-Functional Ownership
Translate ambiguous business needs into measurable AI workflows
Partner with security, engineering, and product teams
Produce clear documentation (architecture, prompts, runbooks)
Act as an internal SME for agentic systems and modern AI development patterns

Required Skills

Advanced prompt engineering (Gemini, GPT, Claude; multi-model systems)
Strong Python, FastAPI, async programming
Deep experience with Azure cloud services and serverless patterns
Hands-on RAG and vector databases (Azure Search, Pinecone, FAISS, etc.)
Agent frameworks (LangChain, LlamaIndex, AutoGen, or custom)
Frontend experience with React + TypeScript
Strong CI/CD, GitHub Actions, and DevOps practices

Preferred

Multi-agent or autonomous systems experience
AI in security operations or automation
Azure / ML Ops certifications
SOC2 / ISO / AI governance exposure
Open-source or AI tooling contributions

Cyderes is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to race, religion, color, sex, age, disability, sexual orientation, genetic information, national origin, or veteran status.

Note: This job posting is intended for direct applicants only. We request that outside recruiters do not contact us regarding this position.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Full-Stack AI Engineer (Prompt Engineering & Agentic Systems) Python, Azure