Job Description

We help the world Be Everyday Ready

(TM)

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

1. 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.

2. 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

.

3. 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

.

4. 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

.

5. 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.