Role overview

Qualifications

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.
Experience integrating with enterprise systems via APIs (e.g., Microsoft 365 / Graph, ServiceNow, Jira, GitHub) and handling authentication and access controls.

Responsibilities

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.
Configure and integrate MCP (Model Context Protocol) servers, and work within Kiro spec-driven development workflows, hooks, and steering rules.
Pair with customer developers in joint build sessions, demonstrating implementation techniques and helping them become self-sufficient.

Key facts

Remote from: United States
Fixed term
Expert & Leadership (>10 years)
AI Operations (AI Ops) Engineer
English

Hard skills

Amazon Web Services Python (Programming Language) Generative Artificial Intelligence TypeScript Node.js (Javascript Library) Java (Programming Language) Serverless Computing Microsoft 365 ServiceNow JIRA Vector Data Embedding Bing Search CI/CD Infrastructure as Code (IaC) Ethical AI

Other skills

Communication
Collaboration

About the company

Numentica LLC

Numentica LLC, founded in 2008, is a team of software experts who have built enterprise software at fortune 500 companies and helped them achieve success. We have worked across industries such as ECommerce, Finance, Marketing and Supply Chain Automation - each of these industries have unique needs, but they share one particular challenge: They need to manage large amounts of structured and unstructured data. Numentica's team specializes in helping companies wrangle big data and making sense of it. We are a niche consulting firm specializing in software product development, business intelligence, and data management. We believe that our success is built on the success of our clients, and we do what it takes to give our clients a sustained competitive edge through value and innovation. By formalizing our experience into innovative tools and frameworks, we help our customers accelerate time-to-market, improve the quality of products and reduce costs. Our unique culture promotes excellence and drives innovation through trust, pride and teamwork. Some key differentiators that help us build enduring relationships with our clients include Mindshare: Our engagement model, partnership mindset and organization structure ensure that our customers get all the mindshare that they need, and more. Team stability: Our staff retention and longevity provides immense confidence to our customers that the investment they make in their teams with us shows excellent ROI. Service orientation: We never forget that we are in the software services business, an attitude that carries tremendous weight in our recruitment process. Our customers get teams that always go the extra mile to advance their businesses. Partnership mindset: As a company, we take a very long-term view to each and every relationship. We invest time and effort that we know is required for the relationship to mature.

Company details

Company typeSME

Company size201 - 500

Links

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Job description

This is a remote position.

Role Summary

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.

Key Responsibilities

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.

Required Qualifications

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.

Preferred Qualifications

Experience with MCP server configuration and with Kiro or other spec-driven development tooling.
Experience with vector databases, embeddings, and search/retrieval tooling.
Familiarity with CI/CD, infrastructure-as-code, and testing best practices on AWS.
Exposure to regulated or public-sector environments and responsible-AI / PHI-PII handling.
AWS associate-level certification.

Location & Travel

This is a US-only position; candidates must be authorized to work in and based in the United States.
The role is primarily remote but may require travel up to 10% to 15% during the engagement for on-site workshops and customer sessions.

Experience Level

5 to 10 years experience with at least 2 years of relevant technical stack experience.