Prama - AI Integration Engineer

Description:

Position: AI Integration Engineer

Company Info: Prama (HQ : Chandler, AZ, USA)

Prama.ai specializes in AI-powered and Generative AI solutions across Data, Cloud, and APIs, helping businesses build intelligent platforms and scalable AI-driven products.

With 500+ projects delivered globally and 30+ engagements currently in progress, Prama.ai brings deep expertise in Data Engineering, AI/ML, and Advanced Analytics across industries such as SaaS, FinTech, Healthcare, and EdTech. We have also built 6 proprietary products, reflecting our strong product engineering DNA.

Finomics.ai is Prama.ais in-house financial intelligence and analytics platform, reinforcing our commitment to building practical, real-world solutions that deliver measurable business impact.

Location : Ahmedabad | Bangalore | Remote

Benefits : 5 Day Working | Career Growth | Flexible working | Medical Insurance

About the Role :

We are looking for AI Integration Engineers to support a large-scale integration initiative involving approximately 300 API integrations using MCP (Model Context Protocol). The project focuses on enabling AI chatbots to interact seamlessly with multiple backend systems and APIs through a standardized integration framework.

This role sits at the intersection of API engineering, AI chatbot integration, and system interoperability. While familiarity with AI/ML concepts is helpful, this is not a core ML model-building role. The primary emphasis is on API integration, protocols, and chatbot enablement.

Key Responsibilities :

- Design, develop, and implement API integrations using REST standards to support AI chatbot interactions.

- Work with Model Context Protocol (MCP) to enable structured communication between AI chatbots and backend services.

- Integrate AI chatbots with multiple enterprise systems and external APIs through MCP servers.

- Develop and maintain scalable integration workflows supporting high-volume, multi-system integrations.

- Collaborate closely with US-based engineers and leads to communicate progress, explain implementations, and support client-facing discussions.

- Ensure integrations are secure, reliable, and compliant with enterprise standards.

- Participate in design discussions to standardize integration patterns and reusable components.

- Troubleshoot integration issues and optimize API performance and reliability.

- Maintain clear technical documentation for integrations, APIs, and chatbot workflows.

- Demonstrate strong ownership, ethical practices, and commitment to delivery timelines.

Required Skills :

- Strong understanding of REST APIs, API standards, and integration best practices.

- Experience working with API-driven architectures and backend service integrations.

- Familiarity with AI chatbot integrations and conversational system workflows.

- Working knowledge or exposure to MCP (Model Context Protocol) or similar integration protocols (preferred, not mandatory).

- Basic understanding of AI/ML concepts (no requirement to build or train ML models).

- Experience with JSON, HTTP methods, authentication mechanisms, and API security.

- Ability to work collaboratively in distributed teams across geographies.

- Strong communication skills to explain technical work to US-based leads and stakeholders.

- Willingness to work with partial overlap in US time zones.