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Applied AI Developer

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Onsite

Applied AI Developer

Adamas Energy

Applied AI Developer

Skills

SQL QueriesPythonSnowflakeMachine LearningAIComplianceAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Dallas, TX, USA

Work mode:

Onsite

Published on:

17 September 2026

What they need


Applied AI Developer

Dallas, TX (Hybrid)

Early-Career • IT Operations • Full-Time

About the Role

We are looking to hire an Applied AI Developer to help build and support our growing AI capabilities. This is a hands-on, early-career role for a strong coder who wants to develop their skills by building real AI-powered applications, agents, and automations that deliver value across the business.

You will work closely with our Sr. AI Engineer and AI consultants, who set the architecture and standards — while you focus on writing clean, reliable code and bringing AI use cases to life. This position is ideal for someone with a computer science background and solid software-building experience who is eager to specialize in AI.

Key Responsibilities

Hands-On AI Development

  • Build and iterate on AI-powered applications, agents, and automations under the guidance of senior team members

  • Help develop RAG pipelines, copilots, and business automations using platforms like Azure OpenAI, Copilot Studio, and Claude

  • Write, test, and refine prompts, guardrails, and simple evaluation checks

  • Rapidly prototype AI use cases and turn approved prototypes into working features

Coding & Software Engineering

  • Write clean, well-structured, maintainable code in Python (or a similar language)

  • Participate in code reviews — both giving and receiving feedback — and apply team coding standards

  • Build, test, and debug software components, integrations, and APIs

  • Document your work so solutions are easy to maintain and hand off

Data & Integration Support

  • Help connect AI solutions to enterprise data sources, including Snowflake, through APIs and pipelines

  • Assist in building embedding pipelines, vector search, and data-prep tasks that make data AI-ready

  • Write SQL queries to retrieve, validate, and shape data for AI use cases

  • Follow established data governance, security, and compliance practices

Collaboration & Growth

  • Partner with the AI Solutions Architect, engineers, and business teams to deliver solutions

  • Adopt architecture, security, and responsible AI standards defined by senior team members

  • Continuously learn new AI tools, frameworks, and techniques, and share what you learn

  • Support deployed solutions by helping monitor quality, cost, and reliability

Required Qualifications

  • Bachelor’s degree in computer science, Software Engineering, or a related field — or equivalent hands-on experience

  • 0–3 years of software development experience (internships, co-ops, and substantial academic or personal projects count)

  • Solid coding fundamentals and proficiency in Python or a similar language

  • Demonstrated experience building software — applications, tools, scripts, or integrations

  • Familiarity with core AI/ML concepts, LLMs, and working with APIs

  • Working knowledge of SQL and relational data

  • Strong problem-solving skills and a genuine eagerness to learn

  • Good communication and collaboration skills

Preferred Qualifications

  • Exposure to AI frameworks or SDKs (OpenAI, LangChain, Semantic Kernel, or similar)

  • Experience with a cloud platform, especially the Microsoft/Azure ecosystem

  • Hands-on exposure to RAG, prompt engineering, or agent-based workflows

  • Familiarity with Snowflake or another modern data platform

  • Academic, hackathon, or personal projects involving AI/ML

  • Understanding of responsible AI principles (privacy, bias, security)

What You’ll Bring

  • A hands-on builder mindset and curiosity about how things work

  • Willingness to learn quickly, get feedback, and grow alongside senior engineers

  • Attention to detail and pride in writing quality code

  • A focus on delivering real, working solutions that create business value

Applicants must be legally authorized to work in the United States. This position is not eligible for employer-sponsored work authorization now or in the future.

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