API Integrations

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Today

API Integration & Agentic AI Engineer

AAA Washington Bellevue, WA

Bellevue, WA

Today

$121k - $145k/yr Full time Backend Developer Agentic Ai Ai Agent

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Job Description

The role focuses on designing, building, securing, and operating enterprise integrations and agentic AI connections. You will work with MuleSoft Anypoint Platform and Microsoft Azure to deliver production-ready APIs, event-driven workflows, and AI agent integrations.

Responsibilities

Design, develop, test, deploy, and maintain REST, SOAP, and event-driven APIs and integrations.
Build integration solutions using MuleSoft Anypoint Platform, Azure API Management, and Azure Functions.
Apply API-led connectivity patterns, including System, Process, and Experience APIs.
Implement API security using OAuth 2.0, mTLS, JWT, TLS, rate limiting, and security policies.
Build event-driven integrations using Azure Service Bus and Azure Event Hubs.
Connect AI agents to enterprise APIs, data services, and business workflows.
Implement MCP for agent-to-tool integration and A2A for agent-to-agent communication.
Develop integration and agent components using Python, Java, or C#.
Deploy applications and infrastructure using Bicep or equivalent Infrastructure as Code (IaC).
Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions.
Implement automated testing, monitoring, logging, and production observability.
Monitor and support production services using Application Insights, Azure Monitor, and Splunk.
Troubleshoot production issues and participate in the on-call rotation.
Maintain API specifications, technical documentation, and operational runbooks.
Other duties as assigned.

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Business, or equivalent experience.
Experience in API development, integration engineering, or software development.
Experience with MuleSoft Anypoint Platform and/or Microsoft Azure integration services.
Experience designing and developing REST, SOAP, and event-driven integrations.
Experience with OAuth 2.0, JWT, TLS/mTLS, and API security.
Experience with Azure Functions, Azure Service Bus, and Azure Event Hubs.
Proficiency in Python, Java, or C#.
Experience with Infrastructure as Code and CI/CD practices.
Experience supporting applications and integrations in production.

Technologies

MuleSoft Anypoint Platform
Microsoft Azure integration services
REST, SOAP, event-driven integrations
Microsoft Azure API Management
Azure Functions
Model Context Protocol (MCP)
Agent2Agent (A2A)
OAuth 2.0, mTLS, JWT, TLS
Azure Service Bus, Azure Event Hubs
Python, Java, C#
Bicep, Infrastructure as Code (IaC)
Azure DevOps, GitHub Actions
Application Insights, Azure Monitor, Splunk

Preferred Qualifications

Experience with Salesforce Agentforce, Microsoft Copilot Studio, LangChain, Microsoft AutoGen.
Knowledge of Model Context Protocol (MCP) and Agent2Agent (A2A).
Experience with DataWeave, RAML, or OpenAPI Specification (OAS).
Experience with Application Insights, Azure Monitor, and Splunk.
Experience integrating Salesforce, Azure, SaaS, and on-premises systems.

Certificates and Licenses

MuleSoft Certified Developer – Level 1 (MCD) preferred.
Microsoft Certified: Azure Developer Associate (AZ-204) preferred.
Additional MuleSoft or Microsoft Azure certifications are a plus.

Benefits

Health insurance (medical, vision, dental and prescription drug)
Up to 22 days of Paid Time Off (PTO) in the first year
Eleven paid holidays in addition to PTO
401(k) with Employer Match
Life, Short-Term Disability and Long-Term Disability insurance
Flexible Spending Accounts
4 Hours of Volunteer Time Off per year
On-Demand Pay / Earned Wage Access
Free Premier RV AAA Washington Membership
Travel, Insurance, and Membership Discounts and Perks
Paid, on-going training throughout your career
THRIVE wellness program
Tax-advantaged commuter benefit
Free parking
Financial Literacy Education

Salary

Hiring Range: $120,666 - $144,840 per year. Discretionary bonus based on company performance.

Work Environment and Physical Demands

Hybrid work from home and office required.
Physical environment is typical of a standard office space.
Must be able to remain in a stationary position, sitting for more than 50% of the time.
Requires occasional movement inside the office to access equipment and cabinets.
May work around office equipment that can be noisy (for example, copiers and fax machines).

Other Information

Equipment used: Computer, phone, various virtual technologies, other office equipment
Travel: Rarely Travel

Education

Bachelor’s degree in Computer Science, Information Systems, Business, or equivalent experience.

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26d ago

Senior Manager, AI Engineer Intelligence Layer

Alvarez & Marsal Chicago, IL

Chicago, IL

26d ago

$190k - $210k/yr Full time Backend Developer Manager Senior

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Job Description

Alvarez & Marsal is hiring a Senior AI Engineer to build and scale the Intelligence Layer, an A&M knowledge-graph-based platform that securely makes structured and unstructured knowledge available through search experiences. This role combines platform engineering with AI integration and agentic workflow development, with a focus on secure access, governance, and production reliability.

Location: Chicago, IL (onsite) | Salary: USD 190,000 - 210,000 per year

What you’ll build

Components of the Intelligence Layer, including ingestion pipelines, knowledge graph models, retrieval services, APIs, and user-facing capabilities.
Graph schemas and queries using Neo4j and Cypher (or comparable graph technologies).
Integrations that connect enterprise structured data and unstructured content, while preserving source permissions, metadata, and governance requirements.
LLM integrations, including applying the Model Context Protocol (MCP) so Intelligence Layer capabilities are available to approved AI tools.
Production-grade agentic pipelines with multi-step orchestration, tool routing, MCP-based tool use, retrieval, state management, evaluation, guardrails, observability, and human-in-the-loop controls.
Secure, maintainable software that supports client confidentiality, access control, reliability, and observability.

How the work is delivered

Partner with the Lead and Architect and delivery partners on implementation, testing, debugging, code review, and technical documentation.
Communicate risks and blockers early and help the team make practical technical decisions as priorities evolve.

What you bring

5+ years of software engineering experience building production applications or data platforms.
Hands-on experience with knowledge graphs, graph data modeling, and graph query languages, ideally Neo4j and Cypher.
Full-stack development experience with strong Python and back-end skills, plus working experience with a modern front-end framework (React is listed).
Experience designing, building, and consuming APIs and integrating multiple structured and unstructured data sources.
Practical experience with Claude, ChatGPT, or comparable large language model platforms.
Hands-on experience building production agentic pipelines or workflows, including orchestration, tool use, retrieval, state management, evaluation, guardrails, observability, or human oversight.
Working knowledge of Model Context Protocol, including how MCP servers expose tools and data to AI clients.
Experience working directly with third-party delivery vendors on implementation, technical review, issue resolution, and delivery coordination.
Strong problem-solving, communication, and documentation skills.
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Technologies you’ll use

Neo4j, Cypher, Python
Large language model platforms, Claude, ChatGPT
Model Context Protocol (MCP)
OAuth 2.0, OpenID Connect, Microsoft Entra ID, Microsoft Azure
React, APIs, agentic pipelines

Benefits

Healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages for regular employees working 30+ hours per week.
401(k) retirement savings plan, including an annual discretionary contribution when eligibility requirements are met.
Paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part-time employees), ten federal holidays, one floating holiday, and parental leave.

First-year outcomes

Support delivery of the initial production iteration of the Intelligence Layer knowledge graphs.
Deliver reusable agentic pipeline components supporting secure, governed workflows across business units and use cases.
Enable global search and business unit specific search across approved structured and unstructured data sources.
Ship tested ingestion, graph, retrieval, API, and user-interface components internal teams can operate and extend.
Establish reusable engineering patterns and documentation to expand to additional business units and data sources.

Preferred qualifications

Hands-on experience building MCP servers, agent tools, or custom AI integrations.
Experience with Microsoft Azure services for application hosting, data, search, identity, or AI.
Experience implementing enterprise authentication and authorization using Microsoft Entra ID, OAuth 2.0, OpenID Connect, token scoping, or on-behalf-of flows.

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API Integrations Data Jobs

API Integration & Agentic AI Engineer

Senior Manager, AI Engineer Intelligence Layer

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