Dutech’s Job

Immediate Hiring | Generative AI | Public Sector | Austin, TX

We are seeking a skilled Generative AI Engineer to design, develop, and deploy AI-driven automation solutions for public sector use cases such as citizen services, document processing, and compliance workflows. This role focuses on building scalable Generative AI systems, including custom GPTs, agentic workflows, and domain-specific copilots, along with end-to-end ML/AI pipelines.

Key Responsibilities

• Design, develop, and deploy AI-driven automation solutions for public sector use cases
• Build and operationalize Generative AI systems, including custom GPTs and agentic workflows
• Develop and manage end-to-end ML/AI pipelines (data ingestion, training, evaluation, deployment, monitoring)
• Collaborate with stakeholders to translate business requirements into AI-enabled solutions
• Ensure compliance with public sector standards for security, privacy, governance, and ethical AI usage
• Apply data science techniques including supervised, unsupervised learning, and neural networks

Required Skills

• Hands-on experience with Generative AI frameworks (OpenAI APIs, LangChain, LlamaIndex) and custom GPT development
• Strong foundation in machine learning (supervised/unsupervised learning, model evaluation, lifecycle management)
• Experience building agentic AI systems (Azure AI Foundry, AWS Bedrock, Snowflake Cortex, autonomous workflows)
• Knowledge of vector databases (Pinecone, FAISS, Weaviate) and RAG architecture
• Proficiency in Python and/or R
• Experience with cloud platforms (Azure, AWS, or GCP) and MLOps tooling

Customer Engagement & Training

• Serve as a technical liaison to public sector customers
• Conduct workshops, training sessions, and enablement programs
• Provide guidance on AI adoption, governance, and change management
• Support pilot implementations, proofs of concept (POCs), and scaling initiatives
• Develop documentation, playbooks, and best practices

Qualifications

• 3–5 years of experience in AI/ML engineering, data science, or automation roles
• Experience delivering production-grade AI/ML or GenAI solutions
• Experience managing AI/ML lifecycle (versioning, monitoring, retraining, optimization)
• Strong communication and stakeholder engagement skills
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field