energy transferHouston, TX
Senior AI Developer
Senior AI Developer
Senior AI Developer
energy transferHouston, TX
Apply for this role (opens in a new tab)7 days ago
AI Developer Energy Transfer is looking for a hands-on AI Developer with strong expertise in Python or. NET, cloud platforms, and modern data tooling to join our multidisciplinary Enterprise AI team. This developer will work alongside AI engineers/developers and business analysts to build, ship, and iterate on real production AI solutions. This role is ideal for someone who thrives in a fast-paced environment where they own work end-to-end: prototyping, building, deploying, and refining. Candidates who have come up through a smaller company or startup environment — wearing multiple hats and shipping real systems — will feel right at home. Technical Environment: Core: Python · .NET · Azure · Databricks (data platform)AI stack: Azure OpenAI · Azure AI Foundry · Azure AI Search · Microsoft Copilot Studio · Semantic Kernel · Vector Databases · RAG (Retrieval-Augmented Generation) · Semantic Search · Agentic AI · MCP (Model Context Protocol)
Essential Duties and Responsibilities:
- Design, develop, deploy, and maintain AI solutions using Python and/or. NET.
- Build AI agents using Microsoft Copilot Studio or the Semantic Kernel Agent Framework.
- Build and optimize cloud-native applications on Azure.
- Work with large-scale data in Databricks.
- Partner with AI engineers/developers and business analysts to turn ideas and experiments into production systems.
- Apply critical thinking to evaluate model performance, troubleshoot complex issues, and improve system efficiency.
- Communicate clearly with both technical and non-technical stakeholders.
- Prototype quickly, test rigorously, and iterate often.
Requirements:
Education and/or Experience, Knowledge, Skills & Abilities To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. The requirements for this position are listed below:
- Bachelor's degree or equivalent experience, with relevant job experience commensurate with the selected job level (see below).
- Professional experience building production systems with Python or. NET (proficiency in both is a strong plus).
- Strong working knowledge of cloud services and architecture patterns — Azure preferred (or equivalent experience in AWS or GCP, with willingness to ramp on Azure).
- Hands-on experience building RAG (Retrieval-Augmented Generation) pipelines.
- Hands-on experience building AI agents with Microsoft Copilot Studio, Semantic Kernel Agent Framework, or an equivalent agent framework (e.g., LangGraph, AutoGen, CrewAI).
- Hands-on experience with at least two of the following: Azure AI Search (or equivalent vector/semantic search platform — Pinecone, Weaviate, pgvector, Elasticsearch with vector, AWS Kendra/OpenSearch) Vector databases Semantic search Agentic AI systems (multi-step reasoning, tool use, orchestration)
- Comfort working with SQL and large-scale data platforms (Databricks experience is a plus, but the syntax is approachable if you know SQL).
- Excellent communication and critical-thinking skills.
- Background in a smaller company or startup environment with significant ownership of technical work. Required experience is commensurate with the selected job level:
- The Specialist level requires a Bachelor's degree or equivalent experience and 2-5 years of relevant job related experience.
- The Senior Specialist level requires a Bachelor's degree or equivalent experience and 5-8 years of relevant job related experience.
- The Lead Specialist level requires a Bachelor's degree or equivalent experience and 8+ years of relevant job related experience.
Preferred Qualifications:
- Proficiency in both Python and. NET.
- Direct hands-on experience with Microsoft Copilot Studio and/or Semantic Kernel specifically.
- Hands-on experience with Databricks specifically.
- Practical ML experience (model training, evaluation, deployment).
- Familiarity with Azure AI Foundry (or equivalent — AWS Bedrock, Google Vertex AI) and Azure OpenAI (or equivalent managed LLM service) in production.
- Experience with MCP (Model Context Protocol) or similar agent-tooling standards.
- Natural Gas Pipeline or Energy Industry work experience is a plus.
Working Conditions:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.
- Usually, normal office working conditions.
- This is an on-site role, worked in person at the office 5 days per week during business hours.
- Must be able to remain in a stationary position 50% of the time due to prolonged periods of sitting or standing.
- Occasional overnight travel may be required to other business locations within the company.
Also on the board Same function, level within a rung
Level
Senior
Location
Houston, TX
Occupation
Software Developers
Industry
Computer Systems Design Services
Posted
7 days ago