Senior LLM / Generative AI / Agentic Solutions Engineer Job at Randstad (Budapest)

Senior Generative AI Engineer

The Citi Innovation Lab is a leader in creating new ideas, innovative technology...

Location

Israel , Tel Aviv

Salary:

Not provided

Citi

Expiration Date

Until further notice

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

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

Senior AI Engineer

HPE Galway are seeking a highly skilled Senior AI Engineer to join our growing A...

Location

Ireland , Galway

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, AI/ML or related technology
Minimum of 8+ years of work experience in cloud based and/or open source software development
3+ years of experience in AI/ML engineering with a focus on LLMs and knowledge retrieval systems
Strong hands-on experience with LLM frameworks: LangChain, LangGraph, PydanticAI, or similar
Proven experience implementing RAG systems and vector databases (PostgreSQL with pgvector, Pinecone, FAISS, Weaviate, Chroma)
Proficiency in Python with deep knowledge of ML libraries (PyTorch, TensorFlow, Transformers)
Experience with Model Context Protocol (MCP) server development and deployment
Understanding of Google ADK and A2A protocol implementations
Strong knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services
Experience with prompt engineering, fine-tuning, and LLM optimization techniques

Job Responsibility

Design and develop AI-driven applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), and Graph RAG architectures
Implement and optimize RAG techniques for improved knowledge retrieval and contextual reasoning
Build and maintain graph-based AI solutions using modern frameworks like LangGraph, PydanticAI, and LangChain
Develop and deploy Model Context Protocol (MCP) servers for seamless data integration across various sources
Design scalable vector database solutions using Pinecone, Weaviate, or similar technologies
Integrate Google Agent Development Kit (ADK) and Agent-to-Agent (A2A) protocols for multi-agent workflows
Collaborate with cross-functional teams to translate business requirements into technical AI solutions
Maintain high code quality standards and implement comprehensive testing strategies

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

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

United States; Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

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

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

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

Senior Machine Learning Engineer

At Cresta, we are dedicated to building state-of-the-art Machine Learning system...

Location

United States; Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field
5+ years of hands-on experience building and deploying ML models in production
Strong knowledge of ML frameworks and NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK)
Solid experience with modern ML techniques including transformer architectures, embeddings, retrieval systems, and large-scale model training
Experience designing and deploying Retrieval-Augmented Generation pipelines for enterprise use cases
Familiarity with evaluation and benchmarking frameworks for ML/LLM models
Strong passion for AI-driven innovation, with a proven ability to deliver impactful, production-grade solutions

Job Responsibility

Build and optimize agentic AI workflows that enable users to dynamically interact with and refine outputs from ML systems
Research and implement advanced ML and NLP techniques, including transformer-based models, embeddings, and retrieval-augmented generation
Develop evaluation frameworks to assess accuracy, robustness, and usability of ML/LLM models in production environments
Design, train, and deploy machine learning models for tasks such as classification, entity identification, information extraction, retrieval, topic discovery, and structured insight generation
Architect and optimize RAG pipelines for grounding LLMs with enterprise data to ensure accuracy and reliability
Collaborate with engineers, UX designers, and product managers to integrate AI-driven capabilities into Cresta’s platform
Optimize ML pipelines and data processing systems to operate efficiently at scale

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
Compensation for this position includes a base salary, equity, and a variety of benefits

Fulltime

Senior Backend Software Engineer

The Coaching team builds Highspot’s personalized, AI-enhanced coaching capabilit...

Location

Canada , Vancouver

Salary:

146000.00 - 178000.00 CAD / Year

Highspot

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or equivalent practical experience
5+ years of experience in back-end software development building and maintaining large-scale web applications
At least 3 years of experience working with object-oriented programming languages
Ruby and Python preferred
Experience architecting, building, and deploying mid-to-large scale web applications in a distributed environment
Strong understanding of API design, data modeling, and backend scalability
Experience integrating or working with AI/LLM platforms such as OpenAI, Anthropic (Claude), or Azure OpenAI
Familiarity with AI-powered development tools (e.g., Cursor, GitHub Copilot, Cody, etc.) and a demonstrated ability to incorporate them effectively into day-to-day workflows
Deep expertise in web performance, security, and reliability best practices
Proven ability to deconstruct complex technical problems and deliver elegant, maintainable solutions

Job Responsibility

Design, develop, and maintain high-quality, scalable, and user-centric backend systems using modern technologies
Architect and optimize backend infrastructure to power intelligent, AI-driven workflows and Agentic AI integrations
Build and maintain integrations with multiple large language models (LLMs) including ChatGPT, Claude, and other OpenAI and Microsoft models
Collaborate closely with AI/ML engineers to productionize agentic workflows and autonomous reasoning systems
Partner effectively with Product Management and UX Design to translate ideas and research into production-ready, AI-enhanced features
Leverage AI-assisted development tools such as Cursor, GitHub Copilot, and other code generation frameworks to accelerate development and improve code quality
Lead and mentor engineers through complex projects, emphasizing clean architecture, testing, and software craftsmanship
Drive backend infrastructure improvements that enhance reliability, observability, and performance
Collaborate cross-functionally to deliver differentiated customer value through AI and data-driven solutions
Troubleshoot and resolve critical production issues while contributing to internal documentation and best practices

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Group Retirement Savings Plan (RRSP) and matching employer contributions (DPSP) with immediate vesting
Flexible PTO
Generous Holiday Schedule + 5 Days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
Flexible work schedules
Access to Coaches and Therapists through Modern Health
2 Volunteer days per year
Monthly transportation allowance for employees that work in our Vancouver Hub location
Employees are eligible to receive stock options

Fulltime

Senior Solutions Consultant, Agentic AI

We seek an exceptional Senior Solutions Consultant, Agentic AI (Presales) based ...

Location

United States , New York

Salary:

110000.00 - 140000.00 USD / Year

Workato

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development
Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects
06-10 years of pre-sales experience in a SaaS/iPass organization
Familiarity with LLMs and has directly interacted with the development or support of chat based AI applications
Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state of the art techniques to improve LLM behavior and performance
Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat based interfaces like Claude and ChatGPT
Hands-on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases
Knowledge of python programming (or understanding/familiarity with object-oriented programming)
Ability to learn new concepts, and technologies to solve problems
Excellent presentation abilities and composure in front of all levels of technical and business audiences

Job Responsibility

Collaborate with cross-functional customer teams, including data scientists and software engineers, AI leaders, and Architects, to show how Workato Agentic can change their work
Effectively team with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, our approach to delivering Workato Agent solutions and AI infused use cases, and architecture tailored to the customer’s AI use cases
Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineer, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing Ops, Finance Ops, People Ops etc
Assist sales teams with technical discovery with customer prospects and be able to architect/build AI blue print solutions using Workato products
Create and deliver custom product demonstrations, AI Agentic use cases
Support solution accounts to execute technical workshops and proof of concepts (POCs), on-site or remote
Able to respond to functional and technical elements of RFIs/RFPs
Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap
Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking at industry events
Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects

Senior Data Scientist

We are seeking a Senior Data Scientist with deep expertise in unstructured data ...

Location

Salary:

Not provided

Beyond Limits

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in AI, Machine Learning, and Data Science, with a strong focus on production-scale AI
Expertise in LLMs, including fine-tuning, distributed training, quantization, and pruning techniques
Experience working with OCR, ASR, and TTS applications in real-world deployments
Proven experience deploying AI models in production, with real-world examples of scaled AI applications
Strong understanding of cloud computing, containerization (Docker, Kubernetes), and ML Ops best practices
Proficiency in Python, PyTorch, and ML libraries
Hands-on experience with vector databases and retrieval-augmented generation (RAG) architectures
Strong awareness of AI system performance benchmarks (latency, speed, throughput) and ability to optimize models accordingly
Experience working with AI agents, designing real-world intelligent automation solutions beyond just open-source experimentation
Proficiency in transformer-based architectures (BERT, GPT, LLaMA, Whisper, etc.), including pre-training, fine-tuning, and task-specific adaptation

Job Responsibility

Develop and deploy AI models for unstructured data (text, speech, audio, images) with a focus on enterprise-scale performance
Fine-tune, optimize, and deploy LLMs and multimodal models, integrating distributed training, quantization, and pruning techniques for efficiency
Design and implement production-ready AI solutions, ensuring scalability, low-latency inference, and high throughput
Work with AI agents and automation frameworks to create intelligent, real-world AI applications for enterprise clients
Build and maintain end-to-end LLM Ops pipelines, ensuring efficient training, deployment, monitoring, and model updates
Implement vector search and retrieval-augmented generation (RAG) systems for large-scale data solutions
Monitor AI performance using key metrics such as speed, latency, and throughput, continuously refining models for real-world efficiency
Work with cloud-based AI infrastructure (AWS, GCP) and containerized environments (Docker, Kubernetes) to scale AI solutions
Collaborate with engineering, DevOps, and product teams to align AI solutions with business needs and client requirements
Implement data curation pipelines, including data collection, cleaning, deduplication, decontamination, etc. for training high-quality AI models

Senior Data Scientist

We are seeking a Senior Data Scientist with deep expertise in unstructured data ...

Location

Taiwan

Salary:

Not provided

Beyond Limits

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in AI, Machine Learning, and Data Science, with a strong focus on production-scale AI
Expertise in LLMs, including fine-tuning, distributed training, quantization, and pruning techniques
Experience working with OCR, ASR, and TTS applications in real-world deployments
Proven experience deploying AI models in production, with real-world examples of scaled AI applications
Strong understanding of cloud computing, containerization (Docker, Kubernetes), and ML Ops best practices
Proficiency in Python, PyTorch, and ML libraries
Hands-on experience with vector databases and retrieval-augmented generation (RAG) architectures
Strong awareness of AI system performance benchmarks (latency, speed, throughput) and ability to optimize models accordingly
Experience working with AI agents, designing real-world intelligent automation solutions beyond just open-source experimentation
Proficiency in transformer-based architectures (BERT, GPT, LLaMA, Whisper, etc.), including pre-training, fine-tuning, and task-specific adaptation

Job Responsibility

Develop and deploy AI models for unstructured data (text, speech, audio, images) with a focus on enterprise-scale performance
Fine-tune, optimize, and deploy LLMs and multimodal models, integrating distributed training, quantization, and pruning techniques for efficiency
Design and implement production-ready AI solutions, ensuring scalability, low-latency inference, and high throughput
Work with AI agents and automation frameworks to create intelligent, real-world AI applications for enterprise clients
Build and maintain end-to-end LLM Ops pipelines, ensuring efficient training, deployment, monitoring, and model updates
Implement vector search and retrieval-augmented generation (RAG) systems for large-scale data solutions
Monitor AI performance using key metrics such as speed, latency, and throughput, continuously refining models for real-world efficiency
Work with cloud-based AI infrastructure (AWS, GCP) and containerized environments (Docker, Kubernetes) to scale AI solutions
Collaborate with engineering, DevOps, and product teams to align AI solutions with business needs and client requirements
Implement data curation pipelines, including data collection, cleaning, deduplication, decontamination, etc. for training high-quality AI models

Senior LLM / Generative AI / Agentic Solutions Engineer

Randstad

Location:
Hungary , Budapest

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 26, 2026

Expiration:
May 31, 2026

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Location:Hungary , Budapest

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Job Description:

Job Responsibility:

Requirements:

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Expiration:May 31, 2026

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