Full Stack Developer responsible for developing and maintaining web applications in .NET for a global IT consulting firm. Collaborating in a hybrid environment with a focus on innovation and system integration.
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Hybrid Full-Stack AI Engineer, Prompt Engineering, Agentic Systems, Python, Azure
Posted 2 weeks ago
About the role
- Full-Stack AI Engineer designing and building agentic AI systems for cybersecurity. Role emphasizes prompt engineering, PromptOps, and Azure-native cloud architecture.
Responsibilities
- 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.
- 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**.
- 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**.
- Build and maintain **embeddings, feature pipelines, telemetry, and drift detection**.
- Perform **data analysis and experimentation** using KQL and Splunk SPL.
- Translate ambiguous business needs into **measurable AI workflows**.
- Partner with security, engineering, and product teams.
- Produce **clear documentation** (architecture, prompts, runbooks).
Requirements
- 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.
- 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.
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