Ai Engineer (Agentic Ai / Genai) Job at Randstad (Singapore)

Software Dev Engineer, Agentic AI, Agentic AI Foundation

Interested in building the future of intelligent AI agents? The Agentic AI organ...

Location

United States , Jersey City; New York

Salary:

158100.00 - 213800.00 USD / Year

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

3+ years of non-internship professional software development experience
3+ years of programming with at least one software programming language experience
3+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience

Job Responsibility

Designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base
Collaborating closely with a team of applied scientists to influence our overall strategy
Driving the system architecture
Spearheading best practices that enable a quality product
Helping coach and develop junior engineers

What we offer

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

Fulltime

Ai Engineer – Genai And Agentic Systems

We are seeking a creative and motivated engineer to join our AI/ML development t...

Location

Greece , Athens

Salary:

Not provided

Gamma Technologies

Expiration Date

Until further notice

Requirements

Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or a related technical field
3+ years of industry experience in NLP, LLMs, or GenAI solution development
Proven experience delivering at least one end-to-end production deployment of an LLM or agentic AI system
Strong expertise in GenAI orchestration strategies, multi-agent workflows, and high-performance model integration
Hands-on experience with Python (primary), with working knowledge of C++ preferred for optimized inference
Understanding of RAG pipelines, vector databases, and evaluation frameworks
Strong analytical skills and the ability to deliver well-architected solutions independently and within teams
Authorization to work in Athens Greece, on a full-time basis
visa sponsorship is not available for this role

Job Responsibility

Architect and implement agentic AI systems using frameworks such as MCP, Claude Agent SDK, LangGraph, or Amazon Strands
Build robust orchestration and automation workflows integrating multi-agent capabilities
Develop and maintain pipelines for training, benchmarking, validating, and deploying LLMs and autonomous agents into production environments
Conduct prompt engineering and fine-tuning of LLMs for domain-specific tasks
Evaluate and iterate model performance based on metrics and user feedback
Integrate AI capabilities with GT-SUITE and related engineering tools via APIs, SDKs, and microservices
Ensure software quality through clean, maintainable, and optimized code, including support for efficient inference
Stay current with emerging technologies in GenAI, LLM orchestration, and autonomous agents

What we offer

Dynamic and highly talented team of experts
An inclusive and supportive work environment that celebrates diverse perspectives and fosters belonging for all
The opportunity to bring in your own ideas, implement them, and make them accessible to a large customer base
The opportunity to build a professional network in various branches of industry
An attractive salary and additional company benefits

Fulltime

Senior AI Engineer (Agentic AI)

High-autonomy role focused on the deployment, maintenance, and evolutionary scal...

Location

Singapore , Singapore

Salary:

8000.00 - 9000.00 SGD / Month

Randstad

Expiration Date

July 27, 2026

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

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

Sr. Distinguished AI Engineer (Agentic AI Platform)

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , San Jose, California; San Francisco, California

Salary:

343400.00 - 392000.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies
At least 10 years of experience programming with Python, Go, Scala, or Java
9 years of experience deploying scalable and responsible AI solutions on cloud platforms
2+ years of experience supporting Agentic Frameworks
2+ years of experience with LLMOps
8+ years of experience designing mission-critical machine learning platforms
2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang
Master's degree in Computer Science, Computer Engineering, or relevant technical field

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs
Standardizing and automating agentic workflows
Contribute to crafting an end to end GenAI SDK, CLI and starter kits
Help bring together a vision of central guardrail services
Collaborate with cross organization architects to drive end to end performance
Accelerate innovation by incubating proof of concepts and driving RFCs
Own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs
Coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Senior LLM & Agentic AI Engineer

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8-11 years of software engineering experience
2+ years of hands-on experience building GenAI or LLM-powered applications
Strong experience with GPT, Claude, Gemini, or similar LLMs
Strong experience with LangChain, LangGraph, CrewAI, or AI Agent frameworks
Strong experience with Retrieval-Augmented Generation (RAG)
Strong experience with Vector databases
Strong experience with Prompt Engineering
Strong programming skills in Java and/or Python
Experience building REST APIs and microservices
Familiarity with cloud platforms and modern software development practices

Job Responsibility

Design and deploy enterprise-grade GenAI applications using GPT, Claude, Gemini, or equivalent LLMs
Build Agentic AI solutions using frameworks such as LangChain, LangGraph, CrewAI, or similar
Develop multi-agent systems to automate customer journeys and business workflows
Implement advanced prompt engineering, evaluation frameworks, and guardrails to improve AI response quality
Design and optimize Retrieval-Augmented Generation (RAG) architectures
Integrate vector databases and enterprise knowledge repositories
Improve retrieval accuracy, response relevance, and grounding of AI-generated content
Build scalable backend services and APIs using Java and/or Python
Develop cloud-native microservices and integrate AI capabilities into customer-facing applications
Collaborate with architects, product managers, and business stakeholders to deliver high-impact solutions

Fulltime

Vice President, Front Office Markets GenAI Agentic Engineer

The Markets division is looking to accelerate automation and innovation through ...

Location

United States , New York; Boston; Charlotte

Salary:

159000.00 - 305000.00 USD / Year

Wells Fargo

Expiration Date

Until further notice

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years expert level Python and core software engineering principles
Hands-on experience with major GenAI platforms (e.g., Google Vertex AI, Microsoft Copilot Studio, Amazon Bedrock) or open-source frameworks (e.g., LangChain, LlamaIndex, AutoGen)
Deep knowledge of LLM and API integration, including RESTful API design
Experience with Vibe coding a plus
Demonstrated systems thinking and experience designing complex, event-driven applications
Strong cross-functional communication skills, with the ability to partner effectively with business, product, and technology teams
Prior experience with application development in banking, capital markets, or sales & trading environments
Experience with container-based deployment (e.g., Docker, OpenShift) and CI/CD tools (e.g., Jenkins, Azure)
Familiarity with front-end frameworks (e.g., React, Angular) and best practices in testing and observability

Job Responsibility

Agent Design & Orchestration: Architect and deploy agents that autonomously execute complex, multi-step business workflows, ensuring alignment with business objectives and regulatory requirements
Tool Development & Integration: Build and integrate APIs/tools, enabling secure and reliable agent access to internal and external resources
Prompt Engineering: Develop advanced prompts and system instructions to define agent behavior, reasoning, and interaction patterns
State & Memory Management: Implement robust systems for tracking agent progress, learning from interactions, and maintaining context across workflows
Evaluation & Debugging: Create frameworks to assess agent reasoning, troubleshoot complex behaviors, and ensure system reliability
Collaboration: Work closely with product, data science, and business teams to identify automation opportunities and translate requirements into technical solutions
Documentation & Compliance: Deliver high-quality software, documentation, and model validation artifacts, adhering to Agile SDLC and all relevant risk and compliance standards
Proactively participate in complex software design and development activities within an Agile environment
Contribute to large-scale project planning, balancing short- and long-term objectives
Use advanced AI, quantitative, and engineering techniques to solve challenging business problems

What we offer

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement

Fulltime

Principal Machine Learning Engineer, Agentic AI

Location

United States

Salary:

Not provided

Zillow

Expiration Date

Until further notice

Requirements

A master's degree or above, equivalent experience in Computer Science, Electrical Engineering, or a related field with emphasis on foundational LLM, agentic AI, reinforcement learning, AI planning, or natural language processing
7+ years of hands-on work building large-scale, high-impact solutions—ideally in the most recent two years building agent-based systems, multi-agent collaboration, or similar paradigms
Experience developing dialogue systems capable of long conversations, multi-step reasoning, context-rich decision-making
Experience deploying and scaling AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance
A track record of publishing high-impact research in top AI/ML venues is a big plus.

Job Responsibility

Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are capable of highly autonomous and context-aware interactions
Leverage advanced GenAI models including reasoning models, real-time voice API, etc, to build agentic prototypes and later on convert them into product-level agentic skills and deploy to users
Have the mentality of “build, learn, and pivot”, and hold the high bar of shipping into production
Mentor and guide engineers in using the right technologies for agentic AI solutions and foster a culture of innovation and responsible AI usage
Distill complex research findings and system designs into actionable insights for diverse audiences—including executives
Remain on the cutting edge of agentic AI emerging paradigms, driving product innovation
Serve as the focal point for applied science projects, driving alignment on timelines, and prioritization
Continuously refine processes for experimentation, A/B testing, and production rollouts to balance rapid innovation with reliability and responsible deployment.

Fulltime

Agentic AI Engineer

Our client is a disruptive tech startup based in Malaysia, backed by an elite le...

Location

Malaysia , Kuala Lumpur

Salary:

Not provided

Randstad

Expiration Date

July 10, 2026

Requirements

3+ years in software engineering, with a significant portfolio of building and deploying AI agents (AutoGPT, BabyAGI, LangGraph, or custom orchestration frameworks) in production
Experience taking a product from a local PoC to a scalable, live environment
Proficiency in Mandarin is a strong advantage
Expert level in Python and frameworks like LangChain
Deep understanding of GPT-4, Claude 3.5, and open-source models (Llama, Mistral), including fine-tuning and RAG optimization
Ability to design tool-use (function calling), memory management, and self-correction loops for agents
Mastery of tools like GitHub Copilot or Cursor to maintain high velocity
Exceptional communication skills and the 'agentic' personality trait—proactive, resourceful, and problem-solving oriented

Job Responsibility

Designing, developing, and deploying complex AI agents capable of multi-step reasoning and autonomous execution
Work toward a critical year-end product launch
Direct, transparent collaboration with senior founders
Use LLMs and GenAI tools to accelerate your own coding output
Move AI beyond 'chat' into 'action', creating agents that can navigate complex workflows with minimal supervision

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Ai Engineer (Agentic Ai / Genai)

Job Description

Job Responsibility

Requirements

What we offer

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