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AI & Automation Software Engineer

Job

De Novo HRConsulting & Business Advisory

Bryn Athyn, PA (In Person)

Full-Time

Posted 1 week ago (Updated 2 days ago) • Actively hiring

Expires 7/22/2026

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Job Description

Our client is seeking a highly capable AI & Automation Software Engineer. You will not just be writing basic scripts; you will be architecting the data pipelines and AI agents that power our managed services. We need a builder who can securely bridge Large Language Models with our enterprise infrastructure using modern frameworks like the Model Context Protocol (MCP) and Databricks/SQL Database ETL pipelines. Note to
Applicants:
A verifiable portfolio of your work (GitHub, architecture teardowns, or live projects) is an absolute requirement for this role. We are looking for proven execution.
Core Responsibilities Agentic Workflows & MCP:
Design and deploy custom Model Context Protocol (MCP) servers (using Python or .NET) to allow AI agents (like Copilot Studio) to securely interact with our infrastructure and APIs.
ETL & Data Engineering:
Build and maintain scalable data pipelines using PySpark, Databricks, and SQL Databases. Implement Medallion Architecture (Bronze, Silver, Gold layers) for robust data ingestion from third-party REST APIs.
AI & Vector Databases:
Architect RAG (Retrieval-Augmented Generation) pipelines. Deploy, populate, and maintain vector databases to feed contextual data to LLMs.
Model Training & Fine-Tuning:
Curate large, complex datasets to fine-tune machine learning models and LLMs for highly specific IT and managed service use-cases.
Cloud Orchestration:
Develop within the Azure ecosystem, utilizing Azure Container Apps, Azure Automation (Runbooks), Entra ID (Service Principals/Managed Identities), and Data API Builder.
Advanced Automation:
Work with automation platforms (Azure Logic Apps / Power Automate) to connect disparate systems (Microsoft Graph
API, RMM
tools, billing platforms) into seamless, zero-touch workflows.
Required Qualifications Experience:
3+ years of hands-on software development and data engineering experience (this is not an entry-level or fresh-graduate role).
Programming:
Deep proficiency in Python and/or C# (.NET) . You must know how to write clean, scalable, and highly secure code.
API Mastery:
Extensive experience building, consuming, and authenticating RESTful APIs, specifically dealing with pagination, rate limiting, and complex JSON payloads.
Database Infrastructure:
Strong SQL skills (T-SQL / Azure SQL). Experience with modern cloud data warehouses (Snowflake, Databricks) is highly preferred.
Security-First Mindset:
Understanding of cloud security paradigms—you know why an LLM should never have direct, un-containerized access to a raw database. Portfolio Requirement You must submit a portfolio of past work. Examples of what we want to see: Code repositories demonstrating complex API integrations or ETL pipelines. Custom AI agents, RAG implementations, or MCP servers you have built. Architecture diagrams or white-papers you've authored detailing a problem you solved using Azure, Data, or AI.