AI Application Engineer

Job not on LinkedIn

🕒 July 7

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

💻 Application Engineer

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Numentica

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2008

🔌 API

🤖 Artificial Intelligence

🤝 B2B

API • Artificial Intelligence • B2B

Numentica is a comprehensive service provider specializing in data services, analytics, application development, and BPO services aimed at transforming business operations through innovative technology solutions. With a focus on harnessing the power of AI and cloud data strategies, Numentica partners with leading businesses across various industries to drive digital transformation and enhance operational efficiency. They provide expert guidance in data governance, master data management, and business intelligence, ensuring that organizations leverage their data assets effectively for growth and competitive advantage.

📋 Description

• The AI Application Engineer builds the prototypes, services, workflows, and integrations that bring generative AI use cases to life on AWS. • This is a hands-on role: the engineer pairs directly with the customer's developers in joint build sessions, turning designs into working software while transferring knowledge so the customer's team becomes self-sufficient. • The work spans Bedrock applications and agents, enterprise integrations, MCP-based tooling, and spec-driven development. • Build prototypes and pilot-ready services implementing AI use cases on Amazon Bedrock, including RAG and Bedrock Agents. • Develop APIs, UI components, and workflow integrations connecting AI capabilities to enterprise applications and data sources. • Build document intake, classification, and extraction workflows using services such as Amazon Textract and Step Functions where relevant. • Configure and integrate MCP (Model Context Protocol) servers, and work within Kiro spec-driven development workflows, hooks, and steering rules. • Implement integrations with the Microsoft 365 ecosystem (SharePoint, Outlook/Exchange, Teams, OneDrive) and delivery/observability tools such as ServiceNow, Jira, GitHub, Dynatrace, or Wiz where approved. • Pair with customer developers in joint build sessions, demonstrating implementation techniques and helping them become self-sufficient. • Implement guardrails, evaluation tests, and grounding/citation behavior according to the architect's designs. • Write clean, tested, documented code following reusable development standards, and contribute reusable templates and playbook material.

🎯 Requirements

• Strong software engineering skills in a common language such as Python, TypeScript/Node.js, or Java. • Hands-on experience integrating with LLM or generative AI APIs (Amazon Bedrock preferred) and building RAG or agent-style features. • Working knowledge of core AWS services for compute, storage, APIs, and identity, including security fundamentals beyond the AI stack. • Comfort building REST/serverless services, integrations, and automation. • Experience integrating with enterprise systems via APIs (e.g., Microsoft 365 / Graph, ServiceNow, Jira, GitHub) and handling authentication and access controls. • Ability to work directly with a customer's developers in a collaborative, pairing-oriented way and contribute to knowledge transfer. • Good written and verbal communication. • Experience with MCP server configuration and with Kiro or other spec-driven development tooling (preferred). • Experience with vector databases, embeddings, and search/retrieval tooling (preferred). • Familiarity with CI/CD, infrastructure-as-code, and testing best practices on AWS (preferred). • Exposure to regulated or public-sector environments and responsible-AI / PHI-PII handling (preferred). • AWS associate-level certification (preferred).

🏖️ Benefits

• Remote work options