Is the Copilot Agent Engineer position at Madiff fully remote?

Yes, this Copilot Agent Engineer position at Madiff is fully remote and you can work from anywhere in the world.

Is this a full-time or part-time Copilot Agent Engineer role?

This is a full-time Copilot Agent Engineer position at Madiff.

What benefits does Madiff offer for this position?

Madiff offers the following benefits: Remote Work, Flexible Hours, Health Insurance, 401k Matching, Professional Development.

How do I apply for the Copilot Agent Engineer position at Madiff?

You can apply for this Copilot Agent Engineer position by clicking the "Apply Now" button on this page, which will take you to Madiff's application portal.

Copilot Agent Engineer at Madiff

Worldwide

This is a remote position.<\/p> We are looking for a Copilot Agent Engineer to design the intelligence layer of an enterprise-grade AI assistant. The role focuses on shaping how the agent reasons, retrieves information, interprets intent, and operates across complex business workflows. This includes building structured reasoning frameworks, retrieval pipelines, evaluation layers, and ensuring enterprise-grade safety, auditability, and reliability.<\/span><\/span> <\/span> <\/div> <\/span><\/span> <\/span> <\/div> <\/span> <\/div> Responsibilities<\/span><\/b><\/span> <\/span> <\/div> <\/span> <\/div> <ul> <li>Design advanced prompt architectures and behavioural frameworks for Copilot<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Build persona logic, agent roles, and structured conversational flows<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Develop retrieval pipelines integrating Data Lake, Knowledge Graphs and internal APIs<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Implement enterprise-grade RAG patterns with strong factual grounding and compliance<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Create evaluation chains, deterministic rules and quality gates for sensitive workflows<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Optimise agent outputs for accuracy, reliability, explainability, and traceability<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Translate business policies and workflows into structured agent behaviour<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Collaborate with engineering, platform, data, and business teams across workstreams<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Ensure the Copilot meets strict audit, governance, and safety requirements<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Build agent logic and orchestration flows using Python or TypeScript<\/span><\/span><\/span><\/span> <\/span><\/span> <\/span><\/li> <\/ul> <\/div> <\/div> <\/div><\/span> <h3>Requirements<\/h3> <ul> <li>4–6 years of experience in AI or backend engineering<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Hands-on experience building <\/span><\/span>LLM-powered agents<\/span><\/span><\/b> (RAG, prompt engineering, orchestration)<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Strong understanding of vector search, chunking strategies, embeddings and context optimisation<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Ability to convert business logic into deterministic rules and reasoning structures<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Experience with <\/span><\/span>Copilot Studio, LangChain, Semantic Kernel<\/span><\/span><\/b> or similar agent frameworks<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Familiarity with prompt lifecycle management and output evaluation<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Experience working in regulated environments where accuracy and compliance are critical<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Strong technical experience with:<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <\/ul> <ul> <li>Azure OpenAI / GPT models<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Vector databases (Pinecone, Weaviate, Chroma, Azure Cognitive Search)<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Knowledge graphs and structured domain modelling<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>API orchestration and messaging layers<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <\/ul> <\/blockquote> <ul> <li>Proficiency in Python or TypeScript<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Certifications such as:<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <\/ul> <ul> <li>Microsoft Azure AI Engineer / Azure Data Fundamentals<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Generative AI or Applied AI Engineering foundations<\/span><\/span><\/span><\/span><\/span> <\/li> <\/ul> <\/span><\/span><\/span><\/span><\/span> <\/div> <\/blockquote> Nice to have<\/b><\/span><\/span> <\/div> <\/b><\/span><\/span> <\/span><\/span><\/span> <\/div> <ul> <li>Azure OpenAI Specialisation<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Exposure to knowledge engineering or ontology design<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Additional cloud certifications<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Experience with evaluation tooling (LangSmith, TruLens, custom eval frameworks)<\/span><\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Background in conversational orchestration or tool-calling architectures<\/span><\/span><\/span><\/span> <\/span><\/li> <\/ul> <\/div> <\/div><\/span> <h3>Benefits<\/h3> <ul> <li>Solid, competitive salary<\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Work in multinational environment on international projects<\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Comprehensive healthcare<\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Long-term B2B contract with stable project pipeline<\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <li>Fully remote model<\/span><\/span><\/span> <\/span><\/span><\/span><\/li> <\/ul> <\/div><\/span> <\/body> <\/html></li></li></li></li></li></ul></h3></li></li></li></li></li></ul></li></li></ul></li></li></ul></li></li></li></li></ul></li></li></li></li></li></li></li></li></ul></h3></li></li></li></li></li></li></li></li></li></li></ul>

Apply Now

Remote Opportunity

Copilot Agent Engineer

Q: What are the main requirements for the Copilot Agent Engineer role?

Key requirements include: Design advanced prompt architectures and behavioural frameworks for Copilot, Build persona logic, agent roles, and structured conversational flows, Develop retrieval pipelines integrating Data Lake, Knowledge Graphs and internal APIs, and more.

Join Madiff as a senior professional working remotely from Worldwide. Explore the role, benefits, and apply in one place.

Copilot Agent Engineer

Madiff

Full Time

$120,000 - $180,000*

10 months ago

Worldwide

Senior

Python

APIs

Machine Learning

+2 more

Job Description

This is a remote position.<\/p> We are looking for a Copilot Agent Engineer to design the intelligence layer of an enterprise-grade AI assistant. The role focuses on shaping how the agent reasons, retrieves information, interprets intent, and operates across complex business workflows. This includes building structured reasoning frameworks, retrieval pipelines, evaluation layers, and ensuring enterprise-grade safety, auditability, and reliability.<\/span><\/span>
<\/span> <\/div> <\/span><\/span>
<\/span> <\/div>
<\/span> <\/div> Responsibilities<\/span><\/b><\/span>
<\/span> <\/div>
<\/span> <\/div>

Design advanced prompt architectures and behavioural frameworks for Copilot<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Build persona logic, agent roles, and structured conversational flows<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Develop retrieval pipelines integrating Data Lake, Knowledge Graphs and internal APIs<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Implement enterprise-grade RAG patterns with strong factual grounding and compliance<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Create evaluation chains, deterministic rules and quality gates for sensitive workflows<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Optimise agent outputs for accuracy, reliability, explainability, and traceability<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Translate business policies and workflows into structured agent behaviour<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Collaborate with engineering, platform, data, and business teams across workstreams<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Ensure the Copilot meets strict audit, governance, and safety requirements<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Build agent logic and orchestration flows using Python or TypeScript<\/span><\/span><\/span><\/span>
<\/span><\/span>
<\/span><\/li> <\/ul>
<\/div>
<\/div>
<\/div><\/span>
Requirements<\/h3>

4–6 years of experience in AI or backend engineering<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Hands-on experience building <\/span><\/span>LLM-powered agents<\/span><\/span><\/b> (RAG, prompt engineering, orchestration)<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Strong understanding of vector search, chunking strategies, embeddings and context optimisation<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Ability to convert business logic into deterministic rules and reasoning structures<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Experience with <\/span><\/span>Copilot Studio, LangChain, Semantic Kernel<\/span><\/span><\/b> or similar agent frameworks<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Familiarity with prompt lifecycle management and output evaluation<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Experience working in regulated environments where accuracy and compliance are critical<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Strong technical experience with:<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li> <\/ul>

Azure OpenAI / GPT models<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Vector databases (Pinecone, Weaviate, Chroma, Azure Cognitive Search)<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Knowledge graphs and structured domain modelling<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
API orchestration and messaging layers<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li> <\/ul> <\/blockquote>

Proficiency in Python or TypeScript<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Certifications such as:<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li> <\/ul>

Microsoft Azure AI Engineer / Azure Data Fundamentals<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Generative AI or Applied AI Engineering foundations<\/span><\/span><\/span><\/span><\/span>
<\/li> <\/ul> <\/span><\/span><\/span><\/span><\/span>
<\/div> <\/blockquote> Nice to have<\/b><\/span><\/span>
<\/div> <\/b><\/span><\/span>
<\/span><\/span><\/span> <\/div>

Azure OpenAI Specialisation<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Exposure to knowledge engineering or ontology design<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Additional cloud certifications<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Experience with evaluation tooling (LangSmith, TruLens, custom eval frameworks)<\/span><\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Background in conversational orchestration or tool-calling architectures<\/span><\/span><\/span><\/span>
<\/span><\/li> <\/ul>
<\/div>
<\/div><\/span>
Benefits<\/h3>

Solid, competitive salary<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Work in multinational environment on international projects<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Comprehensive healthcare<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Long-term B2B contract with stable project pipeline<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li>
Fully remote model<\/span><\/span><\/span>
<\/span><\/span><\/span><\/li> <\/ul>
<\/div><\/span>
<\/body> <\/html>

Requirements

Design advanced prompt architectures and behavioural frameworks for Copilot
Build persona logic, agent roles, and structured conversational flows
Develop retrieval pipelines integrating Data Lake, Knowledge Graphs and internal APIs
Implement enterprise-grade RAG patterns with strong factual grounding and compliance
Create evaluation chains, deterministic rules and quality gates for sensitive workflows

Benefits

Remote Work
Flexible Hours
Health Insurance
401k Matching
Professional Development

Skills

Python

APIs

Machine Learning

Data Lake

Knowledge Graphs

About AI-Estimated Salary

The salary range shown was not provided by the employer. Our AI has estimated it based on the job title, required experience, location, and industry standards (confidence: 80%). This estimate should be used as a general guide only and may not reflect the actual compensation. Always confirm salary details directly with the employer during the application process.

Ready to Apply?

Join Madiff today

Salary Range (AI-Estimated)*

$120,000 - $180,000

80% confidence

Posted 10 months ago

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