Remote Full-Stack AI Engineer: Build & Orchestrate AI Agents

Whiz Global LLC; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Whiz Global LLC is seeking a Senior Full-Stack AI Engineer to design, build and deploy agentic AI solutions remotely. You will lead end-to-end development of coding agents, orchestration, data pipelines, and evaluation across Azure-based tooling and vector stores.

Ideal candidates have 6+ years in software engineering, with 2+ years in LLM/agent solutions, prompt design and CI/CD—plus strong communication for agile collaboration with business teams.

Qualifications

• Strong full-stack engineering in Python and/or C#/.NET with API and integration development.
• Hands-on delivery of LLM/agent applications: prompt design, function and tool calling, RAG and workflow orchestration.
• Experience with at least one of Azure AI Foundry, Copilot Studio or Microsoft Agent Framework.
• Experience with document intelligence services (Azure AI Document Intelligence or similar) on real, messy documents.
• Experience with a vector database or search index: embeddings, chunking, hybrid search and relevance tuning.
• Working knowledge of context engineering and token handling.
• Evaluation practice: building golden datasets, running evals in CI, and interpreting results for non-deterministic output.
• OpenTelemetry instrumentation and use of Azure Monitor, Application Insights or equivalent observability tools.

Responsibilities

• Size stories with product owner, flag effort and risks, and confirm data access.
• Test the spec for buildability, prep the repo and agent context, record open questions.
• Slice stories into tasks, estimate in story points, and commit the sprint with the POD.
• Build with coding agents: code, unit/integration tests, and documentation.
• Implement agents on Copilot Studio, Azure AI Foundry Agents or Microsoft Agent Framework, including prompts, tools and workflows.
• Develop data and retrieval layer: document extraction, embedding and vector search.
• Apply context engineering: write/version prompts, manage context windows and token budgets.
• Handle LLM calls with retries, fallbacks, caching and rate limits.
• Build evaluation sets and run evals on every release; fix findings and resubmit.
• Instrument agents with OpenTelemetry; build traces and dashboards for latency and cost.
• Run A/B tests as designed; capture metrics and readouts.
• Deploy through CI/CD, produce release evidence and support handover.

Skills

Full-stack engineering

Python

C#/.NET

API development

LLM/agent apps

Prompt design

RAG workflows

Azure AI Foundry

Copilot Studio

Microsoft Agent Framework

Document Intelligence

Vector databases

Embeddings

Context engineering

Token handling

OpenTelemetry

Azure Monitor

CI/CD

Git workflows

Azure fundamentals

Tools

Azure AI Foundry

Copilot Studio

Microsoft Agent Framework

Azure AI Document Intelligence

Azure AI Search

OpenTelemetry tooling

Azure Monitor

CI/CD pipelines

Job description

Whiz Global LLC is seeking a Senior Full-Stack AI Engineer to design, build and deploy agentic AI solutions remotely. You will lead end-to-end development of coding agents, orchestration, data pipelines, and evaluation across Azure-based tooling and vector stores.

Ideal candidates have 6+ years in software engineering, with 2+ years in LLM/agent solutions, prompt design and CI/CD—plus strong communication for agile collaboration with business teams.