Senior AI Engineer Job at Randstad (Kuala Lumpur)

Senior AI Engineer

We believe in the power of ingenuity to build a positive human future. We challe...

Location

United Kingdom , Belfast

Salary:

Not provided

PA Consulting

Expiration Date

Until further notice

Requirements

Software engineers with a passion for AI – or data scientists who’ve embraced engineering
People who experiment, prototype, and explore emerging AI tools in their own time
Strong foundation in a language suited to AI system development and data workflows
Experience integrating models with APIs, data sources, or production systems
Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks
Understanding of cloud-native (AWS / GCP / Azure) and DevOps / DevSecOps practices
A collaborative mindset and willingness to share, learn, and teach
Understanding of prompt and context engineering and model evaluation
Solid grasp of distributed systems, microservices, and RESTful APIs
An understanding of LLMOps tools for managing GenAI workflows

Job Responsibility

Work to agile best practices and cross-functionally with multiple teams and stakeholders
Using technical skills to problem solve with clients, as well as working on internal projects
Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams
Hybrid working with the team on client site or in the office a minimum of two days per week
Hands-on with emerging technologies – exploring what works, what scales, and what’s next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic
Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs
Developing and testing agentic architectures through our own Genie Platform – enabling AI agents that reason, retrieve, and act across systems
Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith
Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP)
Constantly learning, testing, and sharing findings across our internal AI community

What we offer

Health and lifestyle perks accompanying private healthcare for you and your family
25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days
Generous company pension scheme
Opportunity to get involved with community and charity-based initiatives
Annual performance-based bonus
PA share ownership
Tax efficient benefits (cycle to work, give as you earn)

Fulltime

New

Senior Ai Engineer

On behalf of our client, a prominent enterprise leader within the Canadian finan...

Location

Canada , Montreal

Salary:

61.32 - 73.58 USD / Hour

Randstad

Expiration Date

August 15, 2026

Requirements

5+ years of software or data engineering experience, highlighted by a proven history of deploying AI agents or advanced LLM integrations within production environments
High proficiency in Python coupled with robust Bash scripting capabilities for continuous automation
Direct hands-on experience utilizing modern enterprise cloud data platforms, specifically Databricks and Snowflake
Deep familiarity as an advanced power-user extending AI development assistants, coding agents, and core foundation models
Thorough understanding of Git-based version control, repository collaboration, and rapid deployment cycles
Prior exposure to or familiarity with interpreting legacy SAS code structures is highly beneficial
Fluent communication skills in English are mandatory
knowledge of French is considered a strong asset

Job Responsibility

Architect Agentic Systems: Design, build, and scale autonomous AI coding agents capable of executing automated, complex software translation workflows
Optimize Automation Processes: Implement strategic automation principles to seamlessly convert low-complexity code pathways, reducing operational overhead
Develop Core Agent Mechanics: Engineer essential backend systems for AI agents, including tool integrations (MCP), contextual retrieval, and robust safety guardrails
Manage LLM System Evaluation: Set up and maintain end-to-end tracking frameworks to comprehensively measure LLM output quality, latency, version control, and infrastructure cost
Collaborate via Agile: Participate actively in a fast-paced Agile ecosystem (Scrum or Kanban), driving iterative software deliveries alongside cross-functional data teams

What we offer

Cutting-Edge Technical Challenge
Contract Growth Potential: Secure an initial 3-month contract position with strong enterprise potential for ongoing structural renewals
Flexible Hybrid Framework: Work within an adaptable hybrid schedule out of state-of-the-art corporate tech hubs located in downtown Toronto or Montreal
High Enterprise Impact: Take ownership of a high-visibility cloud modernization initiative that directly shapes core data engineering practices for an industry leader

Fulltime

Senior AI Engineer

Are you a hands-on technical builder passionate about driving business innovatio...

Location

United States , Chicago

Salary:

148000.00 - 203500.00 USD / Year

ActiveCampaign

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in software engineering, platform engineering, solutions engineering, infrastructure engineering, or a similar technical role
Strong ability to design and implement production-ready systems across APIs, services, integrations, and data flows
Experience working with cloud environments and modern application deployment patterns
Comfort troubleshooting complex technical issues across infrastructure, application logic, and third-party integrations
Prior experience building internal platforms, shared services, developer tooling, or reusable technical foundations
Strong understanding of system design, reliability, scalability, and security considerations
Demonstrated ability to take ownership of ambiguous technical problems and drive them from design through implementation
Experience defining technical patterns, processes, or standards that other builders rely on
Practical experience working with AI-powered applications, agent architectures, LLM-based workflows, or adjacent systems
Strong communication skills and the proven ability to work cross-functionally in a fast-moving environment

Job Responsibility

Own the design and evolution of core capabilities within our internal AI agent platform to support high-impact business workflows and AI agents
Define and improve deployment patterns, shared services, and orchestration approaches that enable complex agent use cases to run reliably
Partner with business stakeholders to translate high-priority strategic goals into scalable AI agent solutions
Work hands-on with builders to debug issues, answer technical questions, and unblock day-to-day development while also improving the underlying platform
Investigate failing repositories, run code locally when needed, and fix infrastructure or environment issues at the root cause
Build and maintain shared services—such as reusable modules, integration layers, logging patterns, and data access approaches—that multiple teams can leverage
Drive decisions around observability, governance, permissions, reliability, and cost-aware usage to ensure our AI transformation is sustainable and secure
Help set technical direction for how new capabilities should be designed so we create durable foundations rather than one-off solutions
Collaborate across engineering and business functions to identify and shape new high-value opportunities for agent-led innovation

What we offer

Comprehensive Health & Wellness: Top-tier benefits package that includes a fully-covered High Deductible Health Plan (HDHP), complimentary access to telehealth services, and a free subscription to Calm
Growth & Development: Access to LinkedIn Learning, professional development programs, and career growth opportunities in a fast-growing organization
Generous Paid Time Off: Recharge and take the time you need to maintain work-life balance with open PTO
Total Rewards: Generous 401(k) matching with immediate vesting, quarterly perks with commuter and lunch benefits for hub based employees or a stipend for remote workers, and a four-week paid sabbatical with bonus after five years
Collaborative Culture: Work alongside brilliant, passionate colleagues in an environment that values innovation, teamwork, and mutual support

Fulltime

Senior AI Engineer

At Podium, our mission is to arm every local business with a complete platform a...

Location

United States , Lehi

Salary:

160000.00 - 190000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

6-10+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir
1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows
Proven success designing and maintaining distributed or high-throughput systems
Strong problem-solving ability and comfort navigating ambiguity in large-scale systems
Excellent communication skills and the ability to work effectively across teams
A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving
Ability to thrive in a fast-paced environment with shifting priorities
Must be willing to work on site, 5 days per week

Job Responsibility

Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale
Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions
Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability
Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience
Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency
Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes

What we offer

Open and transparent culture
Life insurance, long and short-term disability coverage
Paid maternity and paternity leave
Fertility Benefits
Generous vacation time, plus three 4-day summer holiday weekends
Excellent medical, dental, and vision benefits
401k Plan with company matching
Bi-annual swag drops with cool Podium gear and apparel
A stellar HQ (Utah) gym with local professional coaches and classes offered
Onsite HQ (Utah) child care center, subsidized for employees

Fulltime

Senior AI Engineer

The client is seeking an experienced AI Engineer with a strong focus on Generati...

Location

United States , New York

Salary:

150000.00 - 200000.00 USD / Year

Apollo Solutions

Expiration Date

Until further notice

Requirements

5+ years of experience in AI/ML engineering or a related field
Strong programming skills in Python
Proven experience building and deploying generative AI or LLM-based applications
Hands-on experience with frameworks such as PyTorch, TensorFlow, or similar
Solid understanding of machine learning fundamentals and evaluation techniques
Experience building APIs and production systems (e.g., FastAPI, Flask)
Experience with cloud platforms (AWS, GCP, or Azure)
Strong understanding of prompt engineering, embeddings, and vector search
Ability to thrive in a fast-paced startup environment with high ownership

Job Responsibility

Design, build, and deploy generative AI solutions, including LLM-powered applications
Develop and optimize end-to-end ML pipelines (data processing, training, evaluation, deployment)
Integrate and fine-tune large language models (e.g., OpenAI, Anthropic, open-source models)
Implement advanced GenAI techniques such as retrieval-augmented generation (RAG), prompt engineering, and agents
Build scalable backend services and APIs to serve AI models in production
Collaborate with product and engineering teams to translate business requirements into AI features
Continuously improve model performance, scalability, latency, and cost efficiency
Stay current with emerging trends and advancements in AI, particularly in the generative AI space

Fulltime

Senior AI Engineer

As a Senior AI Engineer, you will spearhead the technical execution of 3Shape’s ...

Location

Ukraine , Kyiv

Salary:

Not provided

3Shape

Expiration Date

Until further notice

Requirements

Master’s degree in CS, Data Science, ML, or related field (or equivalent practical experience)
2–4 years of experience in Software Engineering or AI/ML development, with a deep understanding of how to build and maintain scalable systems
Proven end-to-end solution ownership
Strong Python skills (FastAPI/Flask)
Deep hands-on experience with Agentic Systems, prompt engineering, tool-use (function calling), and RAG/knowledge-base integration

Job Responsibility

Lead the integration of external AI tools, ensuring every solution delivers measurable business impact
Design, test, and productionize sophisticated chat and voice agents featuring LLM reasoning and TTS integration
Architect workflows that streamline operations and drive efficiency across the organization
Take full accountability for the lifecycle of a product from initial concept and design to production and maintenance
Empower internal teams by providing the training needed to maximize the adoption of custom AI solutions

What we offer

24 working days of annual vacation
medical insurance
paid sick leaves and child sick leaves
maternity and paternity leaves
breakfasts and lunches in the office
good working conditions in a comfortable office in UNIT.City
a parking lot with free spaces for employees
occasional business trips to Western Europe

Fulltime

Senior AI Engineer

As a leader in cybersecurity, Rapid7 is expanding our global AI footprint and is...

Location

United Kingdom , Belfast

Salary:

Not provided

Rapid7

Expiration Date

Until further notice

Requirements

Proven expertise in building and deploying AI systems in production using Python and modern ML frameworks
Hands-on experience with tools such as: scikit-learn, PyTorch, or TensorFlow for model development
AWS Bedrock, Sagemaker, HuggingFace, or equivalent cloud AI stacks
CrewAI or other orchestration frameworks for agentic AI systems
Pandas, NumPy, Airflow, or Databricks for data engineering and workflow automation
Understanding of model lifecycle management, including monitoring, retraining, and versioning
Ability to evaluate trade-offs between model performance, latency, and interpretability
Strong written & verbal communication with the ability to convey complex ideas clearly to both technical and non-technical audiences

Job Responsibility

Develop and ship high-quality AI systems that deliver measurable customer value
Lead the technical implementation of specific AI projects, from prototyping through deployment
Collaborate closely with product, data science, and platform teams to design, build, and ship AI-powered features that deliver measurable customer and business value
Contribute to the development of best practices for model experimentation, evaluation, and observability
Mentor and support team members in areas like architecture, model design, and debugging
Maintain awareness of emerging AI methods relevant to cybersecurity and share learnings internally

Fulltime

Senior AI Engineer

We are seeking a highly skilled and experienced Senior AI Engineer to lead the d...

Location

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
5+ years of experience in AI/ML development with a focus on building and deploying AI pipelines and backend systems
Proven experience in designing and implementing data ingestion and processing pipelines
Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services
Expertise in Python and relevant AI/ML libraries
Strong understanding of AI infrastructure and deployment strategies
Experience with data engineering and data processing techniques
Proficiency in software development principles and best practices
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
Experience with version control (Git)

Job Responsibility

Design and implement efficient and scalable pipelines for data ingestion, processing, and transformation, tailored for Generative AI workloads
Orchestrate the flow of data between various AI services, databases, and backend systems within the Generative AI context
Build and maintain CI/CD pipelines for deploying and updating Generative AI services and pipelines
Develop and manage systems for ingesting diverse data sources (text, images, code, etc.) used in Generative AI applications
Implement OCR and other preprocessing techniques to prepare data for use in Generative AI pipelines
Ensure data quality, consistency, and security throughout the ingestion process
Integrate and manage external AI services (e.g., cloud-based APIs for image generation, text generation, LLMs) into our Generative AI applications
Develop and maintain APIs for seamless communication between AI services and backend systems
Monitor and optimize the performance of integrated AI services within the Generative AI pipeline
Design and implement RAG pipelines to enhance Generative AI capabilities with external knowledge sources

Fulltime

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