AI Developer

Insight Global; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

HSA / FSA / DCFSA options

401k with employer matching

Paid time off

Job summary

Insight Global is seeking an AI Developer to join a new AI team in Dallas. You will prototype, build, and productionize AI-powered applications, agents, and workflows that translate emerging AI capabilities into practical business value.

The role spans generative AI, agentic workflows, and applied ML, requiring a strong software/data engineering foundation and a passion for learning new tools in a fast-evolving field.

Qualifications

• Bachelor's degree in CS/DS/engineering or related field.
• 2–4 years of hands-on experience shipping software, data, or AI/ML apps in production.
• Proficient in Python and writing tested, maintainable code.
• Working knowledge of SQL and at least one cloud data platform (Snowflake/Databricks).
• Hands-on experience building apps with LLMs or generative AI APIs (Claude/OpenAI/Azure OpenAI).
• Familiarity with Git, testing, CI/CD, and design patterns.
• Strong problem-solving and cross-functional collaboration skills.
• Proven ability to learn new tools/frameworks quickly.

Responsibilities

• Prototype, build, and productionize AI-powered applications, agents, and workflows.
• Collaborate across data science, engineering, and business teams to turn AI capabilities into business value.
• Work with Azure Databricks, Snowflake, and Claude SDK to deploy end-to-end AI solutions.

Skills

Python

SQL

CI/CD

Git

Communication

Problem solving

Self-directed learning

Ambiguity handling

Education

Bachelor's degree in Computer Science/Data Science/Engineering/Mathematics

Tools

Azure Databricks

Azure AI Foundry

Snowflake

Anthropic Claude SDK

Claude

Job description

The AI Developer is a foundational member of the new AI team, responsible for building and deploying AI-powered applications, agents, and workflows that turn emerging AI capabilities into practical business value. Working across Microsoft Azure (including Azure Databricks and Azure AI Foundry), Snowflake, and Anthropic's Claude and Claude Agent SDK, the AI Developer will prototype, build, and productionize solutions spanning generative AI, agentic workflows, and applied machine learning. This role is intentionally broad: the ideal candidate brings a range of technical exposure, a strong foundation in software and data engineering, and — above all — genuine enthusiasm for learning new tools and approaches as the field evolves.

Required Skills & Experience

• Bachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
• Two (2) to four (4) years of hands‑on experience building and shipping software, data, or AI/ML applications in production
• Strong proficiency in Python, with experience writing tested, maintainable code
• Working knowledge of SQL and experience with at least one cloud data platform (e.g., Snowflake, Databricks, or similar)
• Hands‑on exposure to building applications with large language models or generative AI APIs (e.g., Claude, OpenAI, Azure OpenAI, or similar)
• Familiarity with software engineering fundamentals: version control (Git/GitHub), testing, CI/CD, and common design patterns
• Strong problem‑solving and communication skills, with the ability to work effectively across data science, engineering, and business teams
• A demonstrated pattern of self‑directed learning — picking up new tools, frameworks, and platforms quickly and enthusiastically
• Comfort operating with ambiguity in a fast‑evolving field, including a new team, evolving tools, and undefined processes

Nice to Have Skills & Experience

• Direct experience with Microsoft Azure services, particularly Azure Databricks and Azure AI Foundry
• Direct experience with Anthropic Claude, the Claude Agent SDK, or comparable agent development frameworks
• Experience with vector databases and embedding/chunking strategies for retrieval and semantic search
• Experience converting unstructured data (documents, PDFs, emails, images, etc.) into structured, queryable formats for AI/ML use
• Experience with dbt (data build tool) for building, testing, and documenting data transformation pipelines
• Familiarity with the Model Context Protocol (MCP) or other tool‑calling / agent orchestration patterns
• Experience with infrastructure‑as‑code, containerization, or cloud deployment practices
• Exposure to the energy industry or other data- and asset-intensive industries
• Contributions to open‑source AI projects, personal AI projects, or active participation in the broader AI developer community

Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.