Specialist Software Engineer AppliedAI
Job Summary
The Specialist Software Engineer will join the AppliedAI - Custom GPT Practice team to design, develop, and deploy secure, scalable AI agents. You will partner with cross-functional teams to drive enterprise-wide GenAI adoption and automation. This role requires technical expertise in LLMs, RAG frameworks, and seamless system integration.
Responsibilities
- Design and deploy GenAI-powered agents and Custom GPTs.
- Implement RAG frameworks and vector databases.
- Develop integration layers using n8n and API orchestrations.
- Mentor engineering teams on GenAI best practices.
- Ensure compliance with security and data privacy standards.
Required Skills
- 5+ years software development experience.
- 3+ years building production GenAI/Custom GPTs.
- Python proficiency and LLM library expertise.
- Knowledge of AWS cloud services.
- Experience with Scaled Agile methodologies.
Job Details
### Position Overview
The Specialist Software Engineer role offers a unique opportunity to join an innovative AppliedAI team. You will be an integral member of the AppliedAI - Custom GPT Practice team, which empowers teams to build high‑value, purpose‑driven Custom GPTs through expert design and development support. You will play a key role in driving adoption of this program across multiple organizations by partnering with cross‑functional teams and senior leaders.
### Key Responsibilities
**GenAI / AI Delivery**
* Design, develop, and deploy GenAI‑powered agents using large language models (LLMs), embeddings, vector databases, RAG frameworks, and prompt engineering.
* Develop, test, and deploy Custom GPTs using the ChatGPT Enterprise UI.
**Collaboration & Enablement**
* Partner with functional teams, product owners, data engineers, platform teams, DevOps, and business SMEs to translate business requirements into reliable, production‑grade solutions.
* Produce technical design documentation, runbooks, and handover materials.
* Mentor engineers and provide technical leadership to accelerate GenAI adoption.
* Drive platform adoption through best practices, reusable patterns, and shared assets (e.g., agent templates, prompt patterns, Databricks notebooks, n8n workflows).
* Implement Model Context Protocols (MCPs) and build integration layers using n8n to connect systems and implement human‑in‑the‑loop processes.
* Ensure solutions comply with data privacy, security, and regulatory standards.
### Qualifications
**Basic Qualifications**
* Master's degree with 5+ years of experience in Computer Science/IT OR Bachelor's degree with 8+ years of experience.
* Professional experience in software development and system design.
* 3+ years of hands‑on experience building and deploying Generative AI applications or Custom GPTs in production.
**Technical Skills & Competencies**
* Proficiency in Python and GenAI libraries (Transformers, LangChain, Hugging Face).
* Experience with cloud-native solutions (AWS Bedrock, Lambda, SageMaker).
* Strong understanding of vector databases, embedding models, and retrieval pipelines.
* Familiarity with API gateways, RESTful services, and integration tools like n8n.
* Ability to work effectively in global, distributed teams using Scaled Agile methodologies.
* Excellent analytical, communication, and problem-solving skills.