CrawlJobs Logo
Randstad Logo Randstad · IT - Software Development

Senior AI Engineer (Agentic AI)

Singapore, Singapore 8000.00 - 9000.00 SGD / Month · Job Posted May 31, 2026
Apply Position
Job Link Share

Job Description

High-autonomy role focused on the deployment, maintenance, and evolutionary scale of in-house Generative and Agentic AI applications across fab infrastructure. This position involves building production deployments, managing complex data streams, and mentoring junior engineers within our expanding AI section.

Job Responsibility

  • Lead the design, deployment, and integration of autonomous AI systems for multi-step reasoning and automated workflows within the fab ecosystem
  • Monitor production performance, manage retraining pipelines, and address data drift or anomalies
  • Fine-tune LLMs and computer vision frameworks using equipment metadata for failure triage, yield assistance, and hardware accuracy
  • Partner with IT to orchestrate scalable SQL/Big Data pipelines while ensuring strict data governance
  • Provide architectural guidance and mentorship on scaling and deploying robust AI/ML systems

Requirements

  • At least 5 years of experience in machine learning, system deployment, or semiconductor automation
  • Proven expertise in GenAI workflows, including prompt engineering, PEFT/LoRA fine-tuning, RAG, and multi-agent frameworks
  • Technical proficiency in Python and libraries such as PyTorch, TensorFlow, and OpenCV is required
  • Strong understanding of SQL, big data architectures, Git, Docker, and cloud platforms like AWS, Azure, or GCP
Randstad - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Senior AI Engineer (Agentic AI)

8 matching positions

Senior Integrations Engineer, Enterprise Integrations & Agentic AI

We are seeking a Senior Engineer, Enterprise Integrations & Agentic AI to design...
Location
Location
United States , San Francisco; New York City; Austin
Salary
Salary:
227000.00 - 294600.00 USD / Year
airtable.com Logo
Airtable
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • Benefits
  • Restricted stock units
  • Incentive compensation
  • Fulltime
Read More
Arrow Right

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...
Location
Location
India
Salary
Salary:
Not provided
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of software engineering experience with a focus on production systems
  • 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
  • Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
  • Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Expert-level Python skills for production AI systems
  • Strong experience building scalable backend systems, APIs, and distributed architectures
  • Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
Job Responsibility
Job Responsibility
  • Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
  • Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
  • Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
  • System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
  • Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
  • Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
  • Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions
What we offer
What we offer
  • Invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact
  • Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed
  • We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins
Read More
Arrow Right

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...
Location
Location
Canada; United States
Salary
Salary:
160000.00 - 260000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of software engineering experience with a focus on production systems
  • 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
  • Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
  • Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Python Proficiency: Expert-level Python skills for production AI systems
  • Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures
  • LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
Job Responsibility
Job Responsibility
  • Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
  • Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
  • Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
  • System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
  • Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
  • Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
  • Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions
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, and parental leave
  • employee assistance program and wellbeing benefits
  • global travel coverage
  • life/AD&D/STD/LTD insurance
  • FSA/HSA and medical, dental, and vision benefits
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, Backend (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...
Location
Location
Canada , Toronto
Salary
Salary:
Not provided
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science or a related field
  • 5+ years of experience in backend system architecture, cloud services, or related technology fields
  • Proficient in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST
  • Previous experience working with Virtual Agent or AI Agent systems
  • Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases
  • Experience in containerized application deployment using Kubernetes and Docker in microservices architectures
  • Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable and robust backend architectures for Cresta’s AI Agent solutions and proprietary models
  • Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta’s customer solutions
  • Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities
  • Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability
  • Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents
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
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

Senior AI Engineer

Elsewhen, a London-based consultancy, designs and builds technology solutions fo...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
elsewhen.com Logo
Elsewhen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Professional AI engineering experience
  • Background in Software Engineering with Python
  • Solid understanding of the Python standard library and modern Python coding, testing, debugging and automation techniques
  • Hands-on experience building solutions using LLMs and Agentic architectures with ADK, LlamaIndex, or LangGraph
  • Working with vector databases for embedding and indexing
  • Strong experience with cloud platforms
  • Strong experience with API design and frameworks like FastAPI or Flask
  • Solid experience with relational databases and SQL
  • Interest in expanding your knowledge into GenAI and machine learning
  • Excellent communication skills and the ability to work well in a collaborative team environment
Job Responsibility
Job Responsibility
  • Experiment with POCs to find solutions for real-world problems using Large Language Models
  • Collaborate on AI-driven projects, working alongside engineers, product managers and AI specialists while maintaining clear documentation
  • Build and deploy Agentic LLM-based solutions with LangGraph
  • Familiar with different multi agent system patterns
  • Build and deploy LLM-based solutions using RAG
  • Familiar with different types of databases: Relational, Graph etc
  • Design and optimise APIs using Python and FastAPI to serve AI solutions
  • Familiar with GCP ecosystem and Cloudrun
  • Build and optimise data pipelines for vector search and knowledge retrieval using Vector databases and embedding models
What we offer
What we offer
  • Private Health Insurance: Comprehensive coverage for both physical and mental health
  • Flexible and Remote-First Work Environment: Choose how and where you work, with the option for weekly team meet-ups in central London
  • Generous Leave Policy: 27 days of holiday plus bank holidays
  • Family-friendly policies, including enhanced maternity, paternity and shared
  • Learning and Development: Individual annual budget of £2,000 for learning and development, with dedicated learning days
  • Feel Better Fund: £500 to help set up your remote office
  • Social Events: Monthly and quarterly team events, an annual team trip, and half-yearly social events
  • Gym Membership Contribution: Support for maintaining your physical health
  • Pension Contribution: Enhanced employer pension contribution of 6%
  • Bonus Opportunities: Potential to receive a discretionary (non-contractual) bonus based on business and personal achievements
Read More
Arrow Right

Senior Agentic AI Developer

Senior Agentic AI Developer to build production-grade autonomous agents and orch...
Location
Location
United States , San Francisco
Salary
Salary:
156000.00 - 234000.00 USD / Year
gofundme.com Logo
GoFundMe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years in software engineering, with 3+ years hands-on building production-grade AI/ML systems
  • Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain)
  • Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration
  • Strong Python/TypeScript skills and experience in microservices and distributed infrastructure
  • Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines
  • Deep autonomous agent architecture knowledge including advanced reasoning, planning, task decomposition, multi-step automation, tool-use patterns, evaluation systems beyond simple response generation
  • Enterprise integration expertise with RESTful APIs, A2A interoperability, webhook systems, Model Context Protocol (MCP) tools for dynamic tool discovery
  • Production experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP)
  • Demonstrated experience with reinforcement learning, agent optimization, and agent evaluation techniques
  • Strong understanding of agent safety, bias mitigation, transparency, and ethical design practices
Job Responsibility
Job Responsibility
  • Design and implement LLM-based autonomous agents that perform beyond simple responses — including planning, reasoning, tool-use, and long-term task decomposition
  • Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes
  • Build production-scale orchestration frameworks using tools such as LangGraph, Pydantic AI, Google ADK, and CrewAI to orchestrate complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures
  • Implement agent-to-agent (A2A) communication protocols using Model Context Protocol (MCP), enabling tool discovery and dynamic peer -to-peer task delegation between specialized agents in our fundraising ecosystem
  • Develop microservice-based, cloud-native infrastructure for autonomous agent deployment with Docker/Kubernetes, observability tooling, and cloud platforms (AWS/GCP)
  • Ensure enterprise-grade performance, monitoring, and fault tolerance in agent systems supporting large-scale fundraising workflows
  • Design sophisticated prompt strategies, agent memory architectures, vector and graph database implementations for maintaining context across multi-turn conversations and long-running campaign lifecycles
  • Architect and optimize vector and graph database integrations (e.g., Pinecone, Weaviate, ChromaDB) for agent memory and semantic recall
  • Build custom agentic frameworks for use cases across campaign storytelling, optimization, and donor engagement
  • Architect frameworks from scratch tailored to fundraising domain challenges, incorporating advanced tool-use capabilities that integrate with platform APIs, knowledge graphs, and external systems
What we offer
What we offer
  • Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
  • Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
  • Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
  • Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
  • Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
  • Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
  • Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
  • Community Engagement: Make a difference through our volunteering program
  • Fulltime
Read More
Arrow Right

Senior AI Engineer

We are building an AI platform that accelerates the Software Development Lifecyc...
Location
Location
Uzbekistan , Tashkent
Salary
Salary:
Not provided
ventionteams.com Logo
Vention
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in software development (backend or full-stack)
  • Strong proficiency in .NET and/or Python. Ability to connect classical software engineering practices with modern AI capabilities
  • Experience with multi-agent orchestration frameworks (LangChain, CrewAI, AutoGen, or similar tools used to build and orchestrate AI agents)
  • Hands-on experience with AI-assisted development tools (Cursor, GitHub Copilot, OpenAI Codex, and other AI solutions that enhance productivity and code quality)
  • Experience embedding AI into coding, testing, documentation, and review processes to automate and accelerate delivery
  • Expertise in automation and workflow design
Job Responsibility
Job Responsibility
  • Design and implement AI-driven workflows across the SDLC
  • Enhance documentation processes
  • Accelerate development with AI-assisted coding
  • Improve PR analysis and code review
  • Optimize test documentation and testing workflows
  • Support deployment workflows
  • Enhance support and operations
  • Develop and orchestrate AI agents
What we offer
What we offer
  • EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
  • Licenses for AI tools: GitHub Copilot, Cursor, and others
  • Expanded medical support for employees in Tashkent
  • 19 working days of vacation per year, 21 after two years in the company
  • Corporate getaway & teambuilding activities
  • Support for the significant events in your life
  • Referral bonuses for bringing in new talent
  • Fulltime
Read More
Arrow Right