Senior AI Systems Engineer (Agentic & Automation) Job at Velvetech

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

Senior Java Engineer – Agentic AI Driven Development - Senior Vice President

The Applications Development Technology Senior Lead Analyst is a senior-level po...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Core Java - Strong understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals
Frameworks - Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security)
Middleware - Proven experience in designing and developing RESTful APIs and microservices
Relational Databases - Strong proficiency in SQL and experience with Oracle databases, including schema design, query optimization, and stored procedures
NoSQL Databases - Experience with MongoDB, including data modeling, querying, and performance tuning
CI/CD & DevOps - Hands-on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions, Maven/Gradle, Docker, Kubernetes)
Version Control - Proficiency with Git and standard branching strategies (e.g., Gitflow)
Testing - Experience with unit testing frameworks (JUnit, Mockito) and integration testing
Web Technologies (Beneficial) - Familiarity with web services (SOAP/REST), XML, JSON
AI Tools & Methodologies - Demonstrable exposure and practical experience with AI development tools such as Devin, GitHub Copilot, Claude, Anti Gravity, and Codex

Job Responsibility

Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot
Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity
Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery
Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software
Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality
Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines
Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems
Contribute to the strategic planning and technical roadmap for our middleware platforms
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development

What we offer

Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance. Explore a few of the highlights that make working with us rewarding.

Fulltime

Senior Agentic AI Engineer

As a Senior Agentic AI Engineer in the DMTE team, you'll be the driving force be...

Location

United Kingdom , Cambridge

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

Proven experience building agentic AI systems that generate, optimize, and deliver scalable applications in production environments
Strong software engineering foundation with a track record of shipping reliable, performant systems at scale
Deep familiarity with modern LLM orchestration tools, prompt engineering techniques, and AI/ML frameworks
Experience with retrieval-augmented generation (RAG), function/tool calling, and evaluation-driven development for AI agents
A builder's mentality — you don't just use AI tools, you create autonomous systems that multiply the impact of entire teams
Proficiency in TypeScript (or similar languages) and Python for agent development, scripting, and pipeline automation
A software engineer's instinct for reliability, testability, and clean architecture — applied to the unique challenges of non-deterministic AI systems
Excellent technical communication, root cause analysis abilities, and a proactive mindset with passion for fast iteration

Job Responsibility

Design, build, and deploy agentic AI systems that autonomously generate, test, and optimize BrightScript/TypeScript code and UI experiences for the FRAME engine
Architect multi-agent workflows (planning, tool-use, retrieval, execution, validation) that accelerate development and reduce manual engineering effort across the team
Develop AI-powered automation that understands the constraints of embedded C++ environments and produces performance-safe, memory-efficient outputs
Build and maintain evaluation frameworks to measure agent reliability, accuracy, and performance in production-critical contexts
Collaborate with cross-functional teams (firmware, UI, product) to identify high-impact opportunities for AI-driven automation and intelligent tooling
Stay at the forefront of agentic AI research — including LLM orchestration, RAG, function calling, and autonomous code generation — and bring those advances into our platform
Mentor engineers across the team on AI-first development practices and help establish best practices for human-agent collaboration

What we offer

Global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs

Fulltime

Senior Agentic Systems Engineer

This is a great opportunity to join one of our dealer-facing teams at mobile.de ...

Location

Germany , Berlin

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

Passionate about AI and agentic platforms
Innovative and entrepreneurial
Strong communicator and collaborator
Committed to continuous learning
Hands-on experience designing, developing, and operating agentic systems using frameworks such as AWS AgentCore, Google Vertex AI, Bedrock, LangChain, LangGraph, AutoGen, CrewAI or similar
Proficient in AWS infrastructure (VPC, Lambda, S3, IAM, CloudWatch) or their Google Cloud Platform equivalents, with experience in cross-account integrations, Terraform, and Kubernetes
3+ years of professional experience in software engineering
Strong coding skills in Python and/or Java, with a track record of building production-grade backend services and APIs
Experience integrating agents with microservices, recommendation engines, and vector databases (e.g., S3 Vector, OpenSearch), ideally in a multi-environment setup
Familiarity with implementing observability, evaluation frameworks (for agents and prompts), runtime guardrails, and compliance controls for AI/agentic workflows

Job Responsibility

Design, build, and evolve agentic platforms
Drive AI-first engineering
Integrate and optimize multi-system workflows
Enable secure, compliant, and observable AI
Own end-to-end delivery
Collaborate and inspire
Stay ahead of the curve

What we offer

28 days of paid time off
€50 monthly transportation/mobility allowance
Development budget and access to coaching
Up to 12 (non-birth parent) or 20 (birth parent) weeks of fully paid parental leave
Online and offline library
Attractive base salary and participation in annual incentive plans
Work from anywhere - up to 20 days per year
24/7 Employee Assistance Programme for you and your immediate family

Fulltime

New

Agentic AI - Senior Software Engineer

Mastercard Foundry R&D is seeking a Senior Software Engineer to join the Agentic...

Location

Ireland , Dublin 18

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Hands-on experience building applications or systems using Generative AI, LLMs, or agentic patterns
Experience with one or more modern AI frameworks and SDKs for agent orchestration, AI application development, or coding-agent workflows (for example LangGraph, OpenAI Agents SDK, Vercel AI SDK, or Codex SDK)
Strong understanding of orchestration, tool-calling, context management, and AI system design trade-offs
Strong software engineering experience building scalable, maintainable production systems
Experience with React and/or Next.js
Strong backend engineering skills in Java and/or Python
Experience with developer tooling, automation, CLI-based workflows, and CI/CD
Familiarity with containers, cloud-native development, and service integration patterns
Experience building products, prototypes, and/or internal platforms with a focus on usability and adoption

Job Responsibility

Build software, tooling, and platform capabilities that support Mastercard’s Agentic AI strategy
Design and implement AI-enabled applications, workflows, and developer-facing capabilities
Develop reusable services, patterns, and integrations for AI and agentic systems
Evaluate models, frameworks, and tools across quality, cost, latency, reliability, and maintainability
Contribute to new product and prototype development from concept through validation
Improve developer experience through automation, AI-assisted workflows, and platform thinking
Partner with product, engineering, and business stakeholders to turn ideas into working solutions
Advocate learnings, prototypes, and best practices across the organization

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

Senior Java Engineer – Agentic AI Driven Development - Vice President

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Core Java: Strong understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals
Frameworks: Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security)
Middleware: Proven experience in designing and developing RESTful APIs and microservices
Relational Databases: Strong proficiency in SQL and experience with Oracle databases, including schema design, query optimization, and stored procedures
NoSQL Databases: Experience with MongoDB, including data modeling, querying, and performance tuning
CI/CD & DevOps: Hands-on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions, Maven/Gradle, Docker, Kubernetes)
Version Control: Proficiency with Git and standard branching strategies (e.g., Gitflow)
Testing: Experience with unit testing frameworks (JUnit, Mockito) and integration testing
Demonstrable exposure and practical experience with AI development tools such as Devin, GitHub Copilot, Claude, Anti Gravity, and Codex
Strong understanding of AI/ML concepts, prompt engineering, and integrating AI into software development workflows (e.g., for code generation, testing, debugging, and documentation)

Job Responsibility

Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot:Utilize AI-powered code generation tools (e.g., Devin, Copilot, Codex) to accelerate development, automate boilerplate code, suggest optimal implementations, and enforce architectural patterns. Leverage AI for design pattern identification and complex system architecture validation
Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity: Employ AI to analyze database query performance, suggest advanced indexing strategies, optimize schema designs, and generate efficient SQL/NoSQL queries. AI-driven tools can also assist in predicting database load and recommending scaling solutions
Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery: Integrate AI into CI/CD processes for intelligent test case generation, predictive failure analysis, automated code vulnerability scanning, and optimization of pipeline execution times based on historical data
Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software:Use AI-powered communication and summarization tools (e.g., Claude) to streamline requirement gathering, document analysis, and stakeholder communication. AI can also assist in translating technical designs into accessible formats for various audiences
Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning: Leverage AI platforms for personalized learning paths, automated code feedback, and explanations of complex technical concepts. Encourage junior engineers to adopt AI-driven development practices
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality. Continuously explore emerging AI tools and techniques (such as Anti Gravity for complex problem-solving) and assess their applicability to our development ecosystem
Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines: Utilize AI-powered code analysis tools to pre-scan code for potential bugs, security vulnerabilities, performance bottlenecks, and style deviations, allowing human reviewers to focus on higher-level logic and design
Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems. Implement AI-driven anomaly detection in monitoring systems, leverage AI for rapid log analysis and root cause identification, and automate incident response workflows
Contribute to the strategic planning and technical roadmap for our middleware platforms: Employ AI to analyze industry trends, forecast technology evolution, assess the impact of new features, and prioritize roadmap initiatives based on data-driven insights
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development: Utilize AI for data synthesis, predictive modeling for estimations, identification of potential IT risks, and accelerated model prototyping and validation

Fulltime

Senior Software Engineer (Agentic AI) - Python

We are looking for a Senior Software Engineer to join the AI Health Companion st...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

4+ years of experience as a software engineer
At least one significant experience using Python
Understand and promote best practices related to the software development life cycle (automated testing, CI/CD, DevOps)
Product-oriented and comfortable guiding teammates to suggest tradeoffs
Ability to adapt to the most efficient technologies to solve issues
Comfortable speaking and writing in English in day-to-day work

Job Responsibility

Design, ship, and operate production-grade agentic systems that answer key health challenges for patients
Partner with data scientists to design and implement evaluation pipelines, security/safety guardrails, and metrics
Validate hypotheses quickly with offline evaluation datasets and A/B tests on real traffic
Develop and maintain core agentic capabilities including memory, reasoning orchestration, and tool adapters
Own performance, observability and security: monitoring dashboards, SLO/SLI, security posture
Ensure privacy and security by design
Contribute to cross-functional initiatives that shape Doctolib's future AI platform and best practices

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: additional leave on top of legal parental leave
Free mental health and coaching services through partner Moka.care
For caregivers and workers with disabilities: adaptation of remote policy, extra days off for medical reasons, psychological support
Work from abroad up to 10 days per year
Up to 14 days of RTT
Subsidy to refund part of membership to a sport club or creative class
Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
50% reimbursement of public transport subscription
Relocation support in case of international mobility

Fulltime

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Senior AI Systems Engineer (Agentic & Automation)

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