Software Engineer – Azure Databricks & Agentic AI

The Role

We are looking for a Houston based Full Stack Software Engineer with a passion for Agentic AI to join our team. This isn't a traditional "data" role—it’s a software engineering role focused on building the services, interfaces, and autonomous loops that make AI useful. You will design and deploy agentic frameworks that don’t just answer questions but execute complex tasks across enterprise ecosystems.

What You’ll Do

• Architect Agentic Systems: Design and implement multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen to automate complex, multi-step business processes.
• Full Stack Execution: Build responsive, AI-integrated front ends (React/Next.js) and robust back end microservices (FastAPI/Python) that leverage Azure Databricks.
• Modernize Apps: Lead "AI-first" refactoring of legacy applications, moving from deterministic code to probabilistic, agent-driven workflows.
• Engineered Integration: Develop and secure RAG (Retrieval-Augmented Generation) pipelines, integrating vector databases and enterprise data sources via Databricks.
• API Ecosystems: Build and maintain high-performance APIs and GraphQL layers that serve as the "hands and eyes" for your AI agents.
• DevOps & AIOPs: Implement CI/CD for LLMs, including automated evaluation (LLM-as-a-judge), monitoring for drift, and managing deployment on Azure Kubernetes Service (AKS) or Container Apps.

What We’re Looking For

• Experience: 3–7 years of full-stack software engineering experience. The ideal candidate will own the deliverable. They will need enough proficiency in all aspects of the delivery to contribute, explain, implement the solution, and are expected to have deep expertise in at least one portion of the SDLC delivery.

The AI Stack

• (Required) Hands-on experience building with AI. With deep understanding of Agentic coding tools, strengths and weaknesses & capabilities.
• (Required) Deep understanding of MCP/A2A, Agent frameworks.
• (Preferred) Hands-on experience with LLM orchestration frameworks (LangChain/LangGraph) and prompt engineering.

The Tech Stack

The ideal candidate can take a greenfield solution from an empty repository to full CI/CD delivery of the entire solution to production scale. You don’t have to be an expert in every facet of this, but you must be proficient to the level of being able to review code, design review solutions, etc.

• (Required) Proficiency in Python
• (Required) Proficiency in at least one Web-based front-end stack
• (Required) Deep understanding of Security and Identity Management
• (Required) Deep understanding of Infrastructure as Code (IAC). Proficient in at least one IAC tool such as Terraform
• (Required) Deep understanding of Version Control Systems and CI/CD (Git/Github preferred), build processes, security scanning, licensing, etc.
• (Preferred) Demonstrated expertise in at least one high-level language (.net, java, C++)
• Demonstrated Mastery: Position will require certifications in Azure & Databricks. You will be expected to get and maintain at least one Associate Level Azure or Databricks within 30 days of hiring and expected to achieve others based on company needs & roles.
• (Preferred) At least one associate level certification in Azure or Databricks.
• (Preferred) At least one expert level certification in Azure or Databricks.
• Distributed Systems: Understanding of asynchronous patterns, message brokers (Service Bus/Kafka), and state management in agentic loops.
• Consulting Mindset: Ability to white-board complex architectures with clients and translate "business problems" into "agentic solutions."

Nice to Have

• Experience with Vector Databases (Pinecone, Weaviate, or Azure AI Search).
• Knowledge of Semantic Kernel or building custom GPT Actions/Tools.
• Experience in Energy or Industrial sectors (OT data, IoT, or complex supply chain).
• Familiarity with MLflow for tracking experiments and model deployment.