Artificial Intelligence / Machine Learning Engineer 3

Dutech Systems; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Dutech Systems in Austin, TX seeks a senior AI engineer to design, develop, and deploy Generative AI and automation solutions for public-sector use cases.

You will build Custom GPTs and AI agents, design end-to-end AI/ML pipelines, and work with customers to translate needs into scalable AI products, while leading governance and responsible-AI practices.

Qualifications

• 8+ years of experience in Generative AI, Custom GPTs, agentic AI, Python development, RAG, and solution design.
• Experience designing and implementing AI/ML solutions and automation workflows.
• Hands-on experience with OpenAI APIs, LangChain, LlamaIndex, or similar frameworks.
• Strong understanding of RAG architectures and vector databases.
• Experience with cloud platforms and MLOps practices.
• Strong customer engagement, communication, presentation, and training skills.
• Experience translating business requirements into scalable AI solutions.
• Understanding of AI security, privacy, governance, and responsible AI practices.

Responsibilities

• Design, develop, and deploy Generative AI and automation solutions for public-sector use cases.
• Build and operationalize Custom GPTs, AI agents, domain-specific copilots, and agentic workflows .
• Develop end-to-end AI/ML pipelines covering data ingestion, model training, evaluation, deployment, and monitoring.
• Build RAG-based solutions using vector databases such as Pinecone, FAISS, or Weaviate.
• Integrate AI solutions using OpenAI APIs, LangChain, LlamaIndex, and related Generative AI frameworks.
• Develop AI applications using Python and/or R and cloud platforms such as Azure, AWS, or GCP.
• Apply machine learning techniques including supervised learning, unsupervised learning, neural networks, and model evaluation.
• Work directly with customers to understand business requirements and translate them into technical AI solutions.
• Lead AI workshops, training sessions, POCs, and pilot implementations for technical and non-technical stakeholders.
• Provide guidance on responsible AI, security, privacy, governance, and AI adoption.
• Create technical documentation, playbooks, best practices, and maintenance guidelines.
• Collaborate with cross-functional teams to scale successful AI initiatives into production.

Skills

Generative AI

Custom GPTs

Agentic AI

AI Workflow Automation

Python

RAG

OpenAI API

LangChain

LlamaIndex

Vector Databases

Machine Learning

Neural Networks

Azure

AWS

GCP

MLOps

Solution Design

Customer Engagement

AI Training

Responsible AI

AI Governance

Tools

Pinecone

FAISS

Weaviate

Job description

Skills: Generative AI | Custom GPTs | Agentic AI | AI Workflow Automation | Python | RAG | OpenAI API | LangChain | LlamaIndex | Vector Databases | Machine Learning | Neural Networks | Azure | AWS | GCP | MLOps | Solution Design | Customer Engagement | AI Training | Responsible AI | AI Governance

• Design, develop, and deploy Generative AI and automation solutions for public-sector use cases.
• Build and operationalize Custom GPTs, AI agents, domain-specific copilots, and agentic workflows .
• Develop end-to-end AI/ML pipelines covering data ingestion, model training, evaluation, deployment, and monitoring.
• Build RAG-based solutions using vector databases such as Pinecone, FAISS, or Weaviate.
• Integrate AI solutions using OpenAI APIs, LangChain, LlamaIndex, and related Generative AI frameworks.
• Develop AI applications using Python and/or R and cloud platforms such as Azure, AWS, or GCP.
• Apply machine learning techniques including supervised learning, unsupervised learning, neural networks, and model evaluation.
• Work directly with customers to understand business requirements and translate them into technical AI solutions.
• Lead AI workshops, training sessions, POCs, and pilot implementations for technical and non-technical stakeholders.
• Provide guidance on responsible AI, security, privacy, governance, and AI adoption.
• Create technical documentation, playbooks, best practices, and maintenance guidelines.
• Collaborate with cross-functional teams to scale successful AI initiatives into production.

Required Qualifications

• 8+ years of experience in Generative AI, Custom GPTs, Agentic AI, Python development, RAG, and solution design .
• Strong experience designing and implementing AI/ML solutions and automation workflows.
• Hands-on experience with OpenAI APIs, LangChain, LlamaIndex, or similar frameworks.
• Strong understanding of RAG architectures and vector databases.
• Experience with cloud platforms and MLOps practices.
• Strong customer engagement, communication, presentation, and training skills.
• Experience translating business requirements into scalable AI solutions.
• Understanding of AI security, privacy, governance, and responsible AI practices.