Generative AI Engineer (LLM & Agentic Systems)
Dutech Systems Inc., Austin, TX, United States
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr