Artificial Intelligence Engineer
Job Title:
Forward Deployed Engineer (FDE) / Integration Engineer – AI & MCP-RemoteDomain: Generative AI / LLM / Enterprise Application Integration Technical Focus: MCP, Python, LLM Platforms, API Integration
Experience: 15 YearsJob Summary
We are looking for a highly skilled Forward Deployed Engineer (FDE) / Integration Engineer with hands-on experience in Large Language Models (LLMs), Model Context Protocol (MCP), and enterprise-level system integration. The selected candidate will be responsible for developing and implementing robust, secure, and scalable integration solutions that enable AI agents and LLM-based applications to communicate with enterprise platforms, business applications, databases, APIs, and third-party services. The role involves working with various AI ecosystems, including OpenAI, Azure OpenAI, Anthropic, and Google Gemini, to build and support intelligent applications and agent-driven business workflows. The candidate will work closely with solution architects, engineering teams, application developers, security professionals, and business stakeholders to convert business needs into reliable, production-ready AI integration solutions.
Roles & Responsibilities:
Develop and implement integration solutions using leading LLM technologies, including OpenAI, Azure OpenAI, Anthropic, Google Gemini, and other similar platforms.
Build, configure, enhance, and support MCP servers, tools, and connectors to facilitate communication between AI agents and enterprise systems.
Establish integrations between AI-powered applications and enterprise software, REST APIs, databases, and external services.
Design reusable integration components and frameworks that support secure, scalable, and efficient agentic AI workflows.
Work in collaboration with architecture, infrastructure, platform engineering, development, and business teams to deliver complete AI-driven solutions.
Identify, troubleshoot, and resolve technical issues related to system integrations, ensuring optimal performance, reliability, and security.
Convert functional and technical business requirements into scalable integration architectures and production-ready implementations.
Required Technical Skills & Experience:
Minimum 8+ years of professional experience in software development, API engineering, microservices, and enterprise system integration.
Practical experience developing MCP servers and implementing integrations using the Model Context Protocol.
Good understanding of LLM technologies, AI ecosystems, agent-based architectures, and workflow orchestration frameworks.
Strong programming experience in Python, along with REST API development and JSON-based data exchange.
Experience working with enterprise integration architectures and connecting multiple applications, services, and databases.
Familiarity with cloud infrastructure and cloud-native application development using Azure, AWS, or Google Cloud Platform (GCP).Ability to develop secure, scalable, maintainable, and reusable integration solutions for enterprise environments.
Preferred Skills:
- (Additional Advantage)
- Previous experience designing and delivering enterprise-grade AI and Generative AI applications.
- Knowledge of authentication and identity management mechanisms such as OAuth, Single Sign-On (SSO), and Microsoft Entra ID.Understanding of enterprise security requirements, access management, and secure communication between integrated services.
- Experience supporting and maintaining production-level AI applications and integration frameworks.
- Core Technical Skill Requirements
- Primary Skills:
- Model Context Protocol (MCP)MCP Server Development
- Python ProgrammingRESTful API Development
- Microservices ArchitectureLLM Platform Integration
- Enterprise Application IntegrationAI Agents and Agentic AI Workflows
Additional / Preferred Skills:
OpenAI and Azure OpenAIAnthropic and Google GeminiAI Agent Frameworks and Orchestration Tools Microsoft Azure / AWS / GCPOAuth / SSO / Microsoft Entra IDEnterprise Application and Database Connectivity"VForce Infotech is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other legally protected status".