CrawlJobs Logo

Generative AI Engineer (LLM & Agentic Systems)

dutechsystems.com Logo

Dutech Systems

Location Icon

Location:
United States , Austin

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Job offer has expired

Job Description:

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.

Job Responsibility:

  • 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
  • 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

Requirements:

  • 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
  • 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

Additional Information:

Job Posted:
April 19, 2026

Icon
Dutech Systems - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Generative AI Engineer (LLM & Agentic Systems)

Senior Generative AI Engineer

The Citi Innovation Lab is a leader in creating new ideas, innovative technology...
Location
Location
Israel , Tel Aviv
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Hands-on experience with transformer-based models and their applications
  • Strong understanding of LLM, LLM model selection, benchmarking, and optimization
  • Experience with RAG systems and vector databases
  • Proficiency in developing and deploying AI agents
  • Knowledge of open-source models and methods, including benchmarks for evaluating AI performance
  • Knowledge of security risks and mitigation strategies for autonomous AI agents, including OWASP guidelines
  • Proficiency in Python and experience with libraries such as Pandas, Tabula, and TensorFlow/PyTorch
  • Strong problem-solving skills and attention to detail
  • Excellent communication and documentation skills
Job Responsibility
Job Responsibility
  • Develop and implement enterprise scale cutting edge models such as visual document understanding and text2code
  • Implement and Optimize vector-based retrieval systems for RAG by covering embedding models, ANN indexing, hybrid search, and re-ranking
  • Implement autonomous AI agents to implement adaptive, error resistant data extraction, and content validation tasks
  • Develop and deploy enterprise software applications using state of the art practices, such as micro services, modular code, as well as proficiency in writing unit and integration tests to ensure the accuracy and reliability of the AI applications
  • Ensure data privacy and security in all AI-driven processes, adhering to OWASP guidelines and Citi’s stringent authentication and authorization policies
  • Collaborate with cross-functional teams to integrate AI solutions into existing workflows
  • Document the development process and create comprehensive technical specifications
  • Manage and maintain AI applications, ensuring best practices in model management and versioning
  • Deploy resulting AI applications using industrial strength framework and processes, including Kubernetes and OpenShift for scalable and efficient operations on-premises
  • Ability to research and develop and utilize transformer-based models for enhanced application performance
  • Fulltime
Read More
Arrow Right

Forward Deployed Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...
Location
Location
Canada
Salary
Salary:
Not provided
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 3+ years of experience in software development, AI/ML engineering, or system integration
  • Proficiency in Python and Golang, with the ability to write clean, efficient code
  • Familiarity with AI/ML concepts
  • Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred
  • Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG)
  • Hands-on experience of building such a system is strongly preferred
  • Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring)
  • Hands-on experience with integrating systems via APIs, webhooks, and data pipelines
  • Excellent communication and project management skills
Job Responsibility
Job Responsibility
  • Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools
  • Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration
  • Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments
  • Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions
  • Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives
  • Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery
  • Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings
  • Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI
  • Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage
  • Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning
What we offer
What we offer
  • We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
  • Paid parental leave to support you and your family
  • Monthly Health & Wellness allowance
  • Work from home office stipend to help you succeed in a remote environment
  • Lunch reimbursement for in-office employees
  • PTO: 3 weeks in Canada
  • Fulltime
Read More
Arrow Right

Forward Deployed Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...
Location
Location
United States
Salary
Salary:
150000.00 - 250000.00 USD / Year
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 3+ years of experience in software development, AI/ML engineering, or system integration
  • Proficiency in Python and Golang
  • Familiarity with AI/ML concepts
  • Hands-on experience with large language models (LLMs) and prompt engineering techniques are strongly preferred
  • Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG)
  • Hands-on experience of building such a system is strongly preferred
  • Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring)
  • Hands-on experience with integrating systems via APIs, webhooks, and data pipelines
  • Excellent communication and project management skills
Job Responsibility
Job Responsibility
  • Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools
  • Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration
  • Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments
  • Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions
  • Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives
  • Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery
  • Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings
  • Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI
  • Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage
  • Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning
What we offer
What we offer
  • Comprehensive medical, dental, and vision coverage with plans to fit you and your family
  • Flexible PTO
  • Paid parental leave for all new parents welcoming a new child
  • Retirement savings plan
  • Remote work setup budget
  • Monthly wellness and communication stipend
  • In-office meal program and commuter benefits provided for onsite employees
  • Equity
  • Fulltime
Read More
Arrow Right

Senior Staff Machine Learning Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...
Location
Location
United States; Canada
Salary
Salary:
Not provided
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in Computer Science, Mathematics, or a related field
  • Master’s or Ph.D. preferred, or equivalent professional experience
  • 7+ years of hands-on industry experience with AI and machine learning
  • 3+ years of experience working with LLMs in large-scale production environments
  • Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs
  • Proven leadership in designing and deploying AI solutions at scale
  • Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy)
  • Experience with distributed systems and cloud-based AI infrastructure
  • Strong problem-solving and strategic thinking abilities
  • Proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production
Job Responsibility
Job Responsibility
  • Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models
  • Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios
  • Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions
  • Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
  • Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents
  • Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems
What we offer
What we offer
  • Variety of medical, dental, and vision plans
  • Paid parental leave
  • Monthly Health & Wellness allowance
  • Work from home office stipend
  • Lunch reimbursement for in-office employees
  • PTO: 3 weeks in Canada
  • Base salary, equity, and a variety of benefits
  • Fulltime
Read More
Arrow Right

AI Engineer

AI Engineer position at Inetum, a European leader in digital services, focusing ...
Location
Location
Romania , Bucharest
Salary
Salary:
Not provided
https://www.inetum.com Logo
Inetum
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 3 to 5 years of experience in AI solutions deployment in enterprise environments
  • Understanding of how LLMs (GPT-4, Gemini, Claude, Llama, Mistral AI) work, their capabilities, and limitations
  • Familiarity with model architecture, tokenization, context windows, and prompt formatting
  • Crafting effective prompts for various tasks (text generation, summarization, Q&A, code generation, images and sound manipulations)
  • Techniques for prompt chaining, few-shot and zero-shot learning, and multi-turn conversations
  • Knowledge of prompt templates, system instructions, and role-based prompting
  • Understanding the concept of AI agents: autonomous entities that perceive, reason, and act to achieve goals
  • Familiarity with multi-agent systems, agent orchestration, and agentic workflows (e.g., using frameworks like Lang Chain, Crew AI, Auto Gen)
  • Ability to design, prompt, and coordinate groups of AI agents for collaborative or competitive tasks
  • Knowledge of agent communication, delegation, and task decomposition
Job Responsibility
Job Responsibility
  • Develop, refine, and optimize prompts for LLMs (GPT-4, Gemini, Claude, Llama, Mistral) to support a variety of tasks such as text generation, summarization, Q&A, and code generation
  • Design and implement prompt strategies for multi-turn conversations, prompt chaining, and role-based instructions
  • Build and coordinate groups of AI agents (multi-agent systems) for collaborative or competitive tasks using frameworks such as Lang Chain, Crew AI, or Auto Gen
  • Upgrade existing prompts while releases and solutions set evolve
  • Evaluate and improve the effectiveness of prompts and agent workflows through iterative testing, A/B experimentation, and performance analysis
  • Collaborate with cross-functional teams (developers, data scientists, product managers) to integrate prompt engineering and agentic workflows into enterprise solutions
  • Ensure compliance with data privacy, security, and regulatory standards (GDPR, NIS2) in all prompt and agent designs
  • Document prompt strategies, agent architectures, and best practices for internal knowledge sharing and training
  • Ensure provided solutions are ready for production, documented and monitored ensuring consistent delivery and quality
What we offer
What we offer
  • Full access to foreign language learning platform
  • Personalized access to tech learning platforms
  • Tailored workshops and trainings to sustain your growth
  • Medical Insurance
  • Meal tickets
  • Monthly budget to allocate on flexible benefit platform
  • Access to 7 Card services
  • Wellbeing activities and gatherings
  • Fulltime
Read More
Arrow Right

AI Engineer

AI Engineer position at Inetum, a European leader in digital services, focusing ...
Location
Location
Romania , Bucharest
Salary
Salary:
Not provided
https://www.inetum.com Logo
Inetum
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 3 to 5 years of experience in AI solutions deployment in enterprise environments
  • Understanding of how LLMs (GPT-4, Gemini, Claude, Llama, Mistral AI) work, their capabilities, and limitations
  • Familiarity with model architecture, tokenization, context windows, and prompt formatting
  • Crafting effective prompts for various tasks (text generation, summarization, Q&A, code generation, images and sound manipulations)
  • Techniques for prompt chaining, few-shot and zero-shot learning, and multi-turn conversations
  • Knowledge of prompt templates, system instructions, and role-based prompting
  • Understanding the concept of AI agents: autonomous entities that perceive, reason, and act to achieve goals
  • Familiarity with multi-agent systems, agent orchestration, and agentic workflows (e.g., using frameworks like Lang Chain, Crew AI, Auto Gen)
  • Ability to design, prompt, and coordinate groups of AI agents for collaborative or competitive tasks
  • Knowledge of agent communication, delegation, and task decomposition
Job Responsibility
Job Responsibility
  • Develop, refine, and optimize prompts for LLMs (GPT-4, Gemini, Claude, Llama, Mistral) to support a variety of tasks such as text generation, summarization, Q&A, and code generation
  • Design and implement prompt strategies for multi-turn conversations, prompt chaining, and role-based instructions
  • Build and coordinate groups of AI agents (multi-agent systems) for collaborative or competitive tasks using frameworks such as Lang Chain, Crew AI, or Auto Gen
  • Upgrade existing prompts while releases and solutions set evolve
  • Evaluate and improve the effectiveness of prompts and agent workflows through iterative testing, A/B experimentation, and performance analysis
  • Collaborate with cross-functional teams (developers, data scientists, product managers) to integrate prompt engineering and agentic workflows into enterprise solutions
  • Ensure compliance with data privacy, security, and regulatory standards (GDPR, NIS2) in all prompt and agent designs
  • Document prompt strategies, agent architectures, and best practices for internal knowledge sharing and training
  • Ensure provided solutions are ready for production, documented and monitored ensuring consistent delivery and quality
What we offer
What we offer
  • Full access to foreign language learning platform
  • Personalized access to tech learning platforms
  • Tailored workshops and trainings to sustain your growth
  • Medical Insurance
  • Meal tickets
  • Monthly budget to allocate on flexible benefit platform
  • Access to 7 Card services
  • Wellbeing activities and gatherings
  • Fulltime
Read More
Arrow Right

AI Engineer

In this role you will design and build intelligent, autonomous AI systems that e...
Location
Location
United States , San Diego
Salary
Salary:
199500.00 - 299300.00 USD / Year
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 3–5+ years of experience in software architecture, backend development, or AI infrastructure
  • Strong Python skills and familiarity with Java, Go, and C++
  • Deep expertise in agent development, LLM integration, prompt engineering, runtime systems, and AI tooling
  • Experience with MCP servers, vector databases, RAG systems, graph-based memory, and NLP frameworks
  • Ability to design core agentic capabilities such as memory management, context handling, observability, and identity
  • Strong background in distributed systems, backend services, API design, and cloud-native deployments (AWS, Azure, GCP)
  • Proficiency with containerization, CI/CD pipelines, and scalable production infrastructures
  • Excellent communication skills, documentation habits, and ability to mentor or collaborate across teams
  • Passion for building safe, human-aligned, autonomous systems and extending open-source tools to innovate
Job Responsibility
Job Responsibility
  • Design and build intelligent, autonomous AI systems that enable Teradata to push the boundaries of enterprise-scale agentic technology
  • Lead the development of scalable, secure, cloud-native frameworks that allow AI agents to reason, plan, act, and collaborate in real-world production environments
  • Create the foundational runtime components, automation capabilities, and infrastructure that power next-generation GenAI and Agentic AI solutions
  • Work closely with AI researchers, platform teams, and product leadership to bring advanced agentic capabilities from concept to production across Teradata’s data and AI platform
  • Succeed in this role by enabling enterprise customers to leverage powerful, resilient, and safely governed AI agents that drive measurable business value
What we offer
What we offer
  • Healthcare, life and disability insurance plans
  • 401(k)-retirement savings plan
  • Time-off programs
  • Flexible work model
  • Well-being focus
  • Diversity, Equity, and Inclusion commitment
  • Fulltime
Read More
Arrow Right

Principal AI Engineer

We are looking for a Principal AI Engineer to lead the design and deployment of ...
Location
Location
United States
Salary
Salary:
200000.00 - 300000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of software engineering experience
  • at least 3 years in applied LLM or agentic AI systems (2023–present)
  • proven success in deploying LLM-powered products used by real users at scale
  • deep backend & systems engineering expertise with Python, distributed systems, and scalable APIs
  • familiarity with LangChain, LlamaIndex, or similar orchestration frameworks
  • experience with RAG pipelines, vector DBs, embedding models, and semantic search tuning
  • experience managing performance across cloud providers (e.g., AWS Bedrock, OpenAI, Anthropic, etc.)
  • demonstrated experience building multi-step agents, planning workflows, chaining reasoning steps, and integrating APIs with agent memory/state
  • comfort with advanced prompting strategies, few-shot and chain-of-thought reasoning, and embedding retrieval setups
  • strong understanding of AI system evaluation, human ratings, A/B experimentation, and feedback loop pipelines
Job Responsibility
Job Responsibility
  • Architect and lead the development of multi-agent systems capable of long-horizon planning, reasoning, and API orchestration
  • build reusable agentic components that integrate deeply into sales and marketing processes
  • own and evolve our in-house platform for scalable, low-latency, and cost-efficient LLM and agent deployments
  • lead design of interfaces powered by natural language understanding and retrieval-augmented generation (RAG)
  • build embedding-based, intent-aware search and personalization systems tuned to business user needs
  • drive innovation in personalized outreach generation using context-aware generation pipelines
  • tune inference pipelines, caching layers, and model selection logic for high-scale, cost-aware performance
  • define and drive robust offline and online testing methodologies (A/B, sandboxing, human evals) across agents and LLM flows
  • architect human-in-the-loop systems and telemetry to improve accuracy, UX, and explainability over time
What we offer
What we offer
  • equity
  • company bonus or sales commissions/bonuses
  • 401(k) plan
  • at least 10 paid holidays per year
  • flex PTO
  • parental leave
  • employee assistance program
  • wellbeing benefits
  • global travel coverage
  • life/AD&D/STD/LTD insurance
  • Fulltime
Read More
Arrow Right