AI Prompt Engineer - Document Intelligence Job at Randstad (Cork)

AI Engineer

In this role you will design and build intelligent, autonomous AI systems that e...

Location

United States , San Diego

Salary:

199500.00 - 299300.00 USD / Year

Teradata

Expiration Date

Until further notice

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

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

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

Senior Integrations Engineer, Enterprise Integrations & Agentic AI

We are seeking a Senior Engineer, Enterprise Integrations & Agentic AI to design...

Location

United States , San Francisco; New York City; Austin

Salary:

227000.00 - 294600.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

10+ years of experience in integrations, software development, or systems engineering
Strong experience with integration/iPaaS platforms such as Workato, Zapier, Mulesoft, Hightouch, AWS, etc
Proficient in Python, cloud development (AWS or GCP), and handling large-scale data processing workloads
Deep hands-on expertise in integration architecture, API management, and data synchronization patterns (event-based, webhook, polling, etc.)
Experience with AI agent development, prompt engineering, and integration of LLMs into workflows
Experience with vibe coding—leveraging AI tools (e.g., Cursor, Bolt, Claude Code) to accelerate development velocity
Proficiency in working with Salesforce and Workday, including custom reports, calculated fields, and Workday Studio integrations
Solid understanding of integration security, data governance, and compliance practices
Strong understanding of authentication/authorization standards like OAuth 2.0 and SAML
Experience with data formats like JSON and XML and data transformation techniques

Job Responsibility

Design, build, and optimize scalable enterprise workflows using Workato, Hightouch and Workday Studio
Expand our integration stack by building hybrid solutions using Workato for workflow orchestration, and cloud-native services built using Python to handle complex logic and high-volume data processing
Own and evolve integration architecture that supports event-driven workflows, data syncs, and process orchestration across internal tools
Partner with Data and Infrastructure teams to manage real-time and batch data flows between systems, ensuring accuracy, resilience, and auditability
Apply agentic platforms (e.g. AgentForce, Workato Genie) to orchestrate multi-step automations using LLMs and other intelligent agents
Champion Airtable AI internally by building production-ready AI automations
Partner with business units, subject matter experts, and engineering teams to understand integration requirements, define architecture, and deliver resilient workflows
Document technical designs, maintain reusable components, and share best practices for future expansion
Bring strong technical judgment in selecting the right tools and patterns, ensure observability and monitoring are in place for integration health
Champion best practices that keep our integration layer reliable, maintainable, and future-ready

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

GenAI Engineer

As a Generative AI Engineer at InfoObjects, you will design, develop, and deploy...

Location

India , Jaipur

Salary:

Not provided

InfoObjects

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields
Strong experience with Python and machine learning frameworks like PyTorch or TensorFlow
Practical understanding of LLMs (GPT, Claude, Llama, Gemini) and generative models (Diffusion Models, GANs)
Hands-on with APIs and platforms such as OpenAI, Hugging Face, LangChain, and Vector Databases (Pinecone, Weaviate, ChromaDB)
Vector DBs: Experience with AWS solutions including Aurora Postgres, and Databricks Mosaic AI Vector Search
Cloud Platforms: Proficiency in AWS, GCP, Azure, and Databricks
Document Processing: Familiarity with tools like Azure AI Document Intelligence
Orchestration: Experience integrating AWS Knowledge Bases for AI pipeline orchestration
Knowledge of model evaluation, fine-tuning, retrieval-augmented generation (RAG), and ethical AI practices
Strong analytical mindset and the ability to solve complex problems creatively

Job Responsibility

Design and implement generative AI models using frameworks like OpenAI, Hugging Face, or custom architectures
Fine-tune large language models (LLMs) and multi-modal models to align with specific client and project needs
Research and apply advanced techniques including prompt engineering, reinforcement learning with human feedback (RLHF), and model optimization
Collaborate with product teams to integrate AI-powered features into scalable applications
Monitor and improve AI model performance through continuous training and evaluation
Contribute to the development of AI best practices and ensure ethical AI adoption

New

AI Engineer

We are seeking a talented and motivated Artificial Intelligence (AI) Engineer to...

Location

Egypt , New Cairo

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or a related field
2 - 4 years of experience in AI, machine learning, or deep learning
Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras
Experience with Azure AI chatbots, Generative AI, and prompt engineering (Copilot)
Solid understanding of AI models, neural networks, and machine learning concepts
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
Proven experience with Azure AI Services, (OpenAI, AI Search, AI speech, AI Document Intelligence, AI translator and AI language)
Hands-on knowledge on (big) data engineering technologies (e.g., PySpark, Databricks)
Familiar with CI/CD, (Data) Quality Assurance and MLOps concepts and tools on similar use cases (e.g., Azure Machine Learning, mlflow)
Hands-on knowledge of DevOps tools (Azure DevOps) supporting an Agile methodology for delivery

Job Responsibility

Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI
Create and manage the AI development and production infrastructure to support the AI initiatives
Design, develop, and implement AI solutions to solve complex problems in various domains
Automate AI infrastructures for the data science and platform teams
Built AI models from scratch and helped product managers and other stakeholders with analysis and implementation
Transform machine learning models into APIs that can be integrated with other applications
Collaborate across teams to help with AI adoption and best practices
Analyze and optimize AI solutions for performance and scalability
Stay up to date with the latest advancements in AI research and technologies
Participate in code and design reviews to maintain a high-quality codebase

What we offer

Coaching and mentoring programs
Development opportunities
Equal opportunity employer
IT Equipment
Learning programs
Work with iconic brands
Supportive team
Volunteering Opportunities

New

AI Engineer (Prompt Engineering & Evaluation)

We are investing massively in developing next-generation AI tools for multimodal...

Location

United Kingdom; Greece , London

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

Proficiency in Python
Hands-on experience in advanced prompt engineering for major LLMs
Proven experience in designing and implementing evaluation methodologies and quality frameworks for AI/ML model outputs
Familiarity with modern AI/LLM frameworks (e.g., LangChain, Google GenAI)
Experience working with both structured and unstructured data, particularly in a cloud environment (GCP, AWS, or Azure)
Strong analytical and problem-solving skills

Job Responsibility

Collaboration: Work closely with product managers, data scientists, and architects to translate business needs into technical requirements for AI evaluation and application
Prompt Engineering & LLM Application: Design, develop, and iteratively refine sophisticated prompts for Large Language Models (LLMs)
AI Output Evaluation & Governance: Design and implement evaluation frameworks to ensure our LLM-based services deliver accurate, reliable outputs. Establish metrics for prompt performance, iterative improvement processes, and drift monitoring. Evaluate and recommend best-in-class evaluation tools and methodologies to enhance our capabilities
Evaluation Dataset Engineering: Build and maintain the infrastructure for high-quality evaluation datasets representing diverse industry verticals and creative types. This involves designing data pipelines, annotation workflows, quality control systems, and version control. You'll develop intelligent sampling strategies to ensure balanced positive/negative examples across questions about creative elements that drive advertising performance
Applied AI Research & Integration: Build a production-ready evaluation system for our LLM-based services, which extract structured insights from advertising creatives. In your first 6 months, you'll develop an automated evaluation system using LLM-as-judge approaches with human-in-the-loop validation, creating a robust, scalable solution for FTSE 100 clients
Documentation & Knowledge Sharing: Document the AI evaluation process and results to track product quality and maintain user-facing product and API documentation

What we offer

enhanced pension
life assurance
income protection
private Healthcare
Remote working
Truly flexible working hours
Generous Leave - holiday plus bank holidays and enhanced family leave
Annual bonus
Impactful projects
People oriented culture

Fulltime

Staff Software Engineer, AI & Automation

Mozilla is seeking a Staff Software Engineer to lead the next evolution of Servi...

Location

United States; Canada

Salary:

128000.00 - 171000.00 CAD / Year

Mozilla

Expiration Date

Until further notice

Requirements

7+ years in IT engineering, enterprise applications, or service delivery
ITIL 4 Foundations certification (required)
Comfortable leading incident, problem, and change management (ITIL), measuring SLAs/SLOs, and using data to drive continuous service improvements
Demonstrated success owning platforms end-to-end, including lifecycle management, integrations, and adoption
Advanced proficiency in Python scripting — with proven experience developing, optimizing, and maintaining automation frameworks, APIs/webhooks, and integration logic across enterprise tools
Strong automation & scripting skills in one or more of: Python
with experience building APIs/webhooks, workflow engines, and chatbots
Advanced experience in AI & automation platforms (GenAI copilots, RPA, intelligent workflows), including security and governance guardrails for safe adoption
A builder’s mindset: bias for automation and documentation, empathy for end users, and a willingness to mentor Service Desk colleagues
Strong program/project management skills with proven ability to independently deliver initiatives

Job Responsibility

Roll out new collaboration and Enterprise GenAI capabilities: run pilots, manage change/comms, create guides, and deliver training that drives adoption and safety
Design and ship automations (scripts, workflows, chatbots, AI agents) to streamline provisioning/deprovisioning, entitlements, group lifecycle, and tier-1 deflection
Build monitoring and alerting for SaaS health and key workflows
lead incident, problem, and change practices to reduce MTTR and prevent recurrences
Define SLAs/SLOs, instrument CSAT and operational metrics, and run regular service reviews that turn data into improvements
Serve as technical escalation for complex tickets: drive resolution, perform root-cause analysis, and capture knowledge to uplevel the Service Desk
Maintain clean, current documentation: runbooks, KB articles, architecture diagrams, and admin playbooks
Champion a 'shift-left' model: expand self-service portals, guided flows, and AI virtual agents to improve velocity and user experience
Enterprise AI Security & Governance: implement guardrails for AI/automation usage, including access controls, data handling policies, compliance alignment, and ongoing risk monitoring
Cross-Functional Partnership: collaborate with People, Security, Finance, Legal, and Procurement to ensure platforms align with organizational goals

What we offer

Generous performance-based bonus plans to all eligible employees
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Staff Software Engineer, AI & Automation

Mozilla is seeking a Staff Software Engineer to lead the next evolution of Servi...

Location

United States

Salary:

138000.00 - 217000.00 USD / Year

Mozilla

Expiration Date

Until further notice

Requirements

7+ years in IT engineering, enterprise applications, or service delivery
ITIL 4 Foundations certification (required)
Comfortable leading incident, problem, and change management (ITIL), measuring SLAs/SLOs, and using data to drive continuous service improvements
Demonstrated success owning platforms end-to-end, including lifecycle management, integrations, and adoption
Advanced proficiency in Python scripting — with proven experience developing, optimizing, and maintaining automation frameworks, APIs/webhooks, and integration logic across enterprise tools
Strong automation & scripting skills in one or more of: Python
with experience building APIs/webhooks, workflow engines, and chatbots
Advanced experience in AI & automation platforms (GenAI copilots, RPA, intelligent workflows), including security and governance guardrails for safe adoption
A builder’s mindset: bias for automation and documentation, empathy for end users, and a willingness to mentor Service Desk colleagues
Strong program/project management skills with proven ability to independently deliver initiatives

Job Responsibility

Roll out new collaboration and Enterprise GenAI capabilities: run pilots, manage change/comms, create guides, and deliver training that drives adoption and safety
Design and ship automations (scripts, workflows, chatbots, AI agents) to streamline provisioning/deprovisioning, entitlements, group lifecycle, and tier-1 deflection
Build monitoring and alerting for SaaS health and key workflows
lead incident, problem, and change practices to reduce MTTR and prevent recurrences
Define SLAs/SLOs, instrument CSAT and operational metrics, and run regular service reviews that turn data into improvements
Serve as technical escalation for complex tickets: drive resolution, perform root-cause analysis, and capture knowledge to uplevel the Service Desk
Maintain clean, current documentation: runbooks, KB articles, architecture diagrams, and admin playbooks
Champion a 'shift-left' model: expand self-service portals, guided flows, and AI virtual agents to improve velocity and user experience
Enterprise AI Security & Governance: implement guardrails for AI/automation usage, including access controls, data handling policies, compliance alignment, and ongoing risk monitoring
Cross-Functional Partnership: collaborate with People, Security, Finance, Legal, and Procurement to ensure platforms align with organizational goals

What we offer

Generous performance-based bonus plans
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Consultant - Data & AI

Microsoft Industry Solutions - Global Center for Innovation and Delivery Center ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

4 - 10 years of experience
Bachelor's degree in computer science engineering or equivalent work experience
Higher relevant education is preferred
Knowledge of solution design, planning, development and deployment of complex solutions
One or more of the following certifications, or an equivalent industry certification is a plus: Microsoft Certified: Azure Data Engineer Associate (DP-600) / Microsoft Certified: Azure AI Engineer Associate (AI102) / Microsoft Certified: Azure Solution Architect Expert (AZ-305)
Core Data Engineering & Platform Skills
Hands-on experience in Data Engineering across cloud, on-prem, and hybrid environments
Strong foundational experience with Azure Data Services and data platform modernization initiatives
Handson exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics
Azure Databricks is a plus

Job Responsibility

Works as an Individual contributor and key member of the Data and AI team and helps in timely execution of assigned deliverables with accurate estimates, work priorities, and accommodates project changes and trade-offs necessary for a successful release
Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners
Works to accelerate the value proposition of customer/partner engagements by helping to design, develop, and deploy solutions on Microsoft technologies and methodologies
Contributes to the overall efficacy and quality of a project team’s technical delivery within assigned engagements
Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project
Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations
Drives opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies
Collaborates, as appropriate, with peers and other teams (e.g., Sales, account-aligned team) to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions of strategic Microsoft products and services
Align with innovation and digital transformation initiatives
Ensures the use of existing intellectual property (IP) and delivers value to customers

Fulltime

AI Prompt Engineer - Document Intelligence

Randstad

Location:
Ireland , Cork

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

Expiration:
February 18, 2026

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