AI Engineer-MUST BE LOCAL to Dallas, TX

Qualifications

• 5+ years of total experience in Software Engineering and/or Data Science, with at least 2 years focused on Generative AI/LLMs

• Degree in Computer Science, Machine Learning, Data Science, or related field, or equivalent practical experience

• Strong proficiency in:

• Python for AI/ML, data pipelines, and back-end services

• JavaScript/TypeScript for front-end and/or Node services

• SQL and experience working with relational databases and basic data modeling

• Working with coding assistants like Windsurf, Cursor, Codex, etc

• Proven experience building production-grade software:

• Writing clean, testable, maintainable code

• Using CI/CD pipelines, code reviews, and Git workflows

• Hands-on experience with:

• At least one agentic/orchestration framework (OpenAI Agents SDK, Google ADK, LangChain, etc.)

• LLM APIs and/or open-source models (e.g., via OpenAI, Google, Hugging Face, Ollama)

• Vector embeddings, vector databases, and RAG architectures

• Experience with one or more major cloud platforms (GCP, Azure, and AWS) and:

• Docker for containerization

• Kubernetes or a managed container service (e.g., EKS, GKE, AKS)

• Strong communication skills and ability to collaborate with both technical and non-technical stakeholders

• 15 more items(s)

Responsibilities

• Help drive the development, deployment, and scaling of advanced AI applications that solve real-world problems

• In this role, you will design, build, and scale high-impact AI solutions, turning innovative ideas into production-ready systems

• You will own end-to-end delivery, from ideation and prototyping to deployment and optimization, ensuring solutions enhance products and deliver meaningful improvements to the overall user experience

More job highlights

Job description

12 month contract, that can extend or convert

this role doesn't allow sponsorship now or in the future, meaning no h1b/cpt/opt

only us citizen / gc holder

Must be LOCAL TO Dallas, TX- onsite 1x a week.

F2F interview REQUIRED!

Help drive the development, deployment, and scaling of advanced AI applications that solve real-world problems. In this role, you will design, build, and scale high-impa...ct AI solutions, turning innovative ideas into production-ready systems.

You will own end-to-end delivery, from ideation and prototyping to deployment and optimization, ensuring solutions enhance products and deliver meaningful improvements to the overall user experience.

Qualifications

• 5+ years of total experience in Software Engineering and/or Data Science, with at least 2 years focused on Generative AI/LLMs.

• Degree in Computer Science, Machine Learning, Data Science, or related field, or equivalent practical experience.

• Strong proficiency in:

• Python for AI/ML, data pipelines, and back-end services

• JavaScript/TypeScript for front-end and/or Node services

• SQL and experience working with relational databases and basic data modeling

• Working with coding assistants like Windsurf, Cursor, Codex, etc.

• Proven experience building production-grade software:

• Writing clean, testable, maintainable code

• Using CI/CD pipelines, code reviews, and Git workflows

• Hands-on experience with:

• At least one agentic/orchestration framework (OpenAI Agents SDK, Google ADK, LangChain, etc.)

• LLM APIs and/or open-source models (e.g., via OpenAI, Google, Hugging Face, Ollama)

• Vector embeddings, vector databases, and RAG architectures

• Experience with one or more major cloud platforms (GCP, Azure, and AWS) and:

• Docker for containerization

• Kubernetes or a managed container service (e.g., EKS, GKE, AKS)

• Strong communication skills and ability to collaborate with both technical and non-technical stakeholders.

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