engineering agent

Capgemini

<div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
</p><div><div><div><h2 class="jobSectionHeader"><b>Your Role
</b></h2></div><div><ul><li>Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks.
</li><li>Implement multi-agent communication protocols for agent-to-agent collaboration and coordination.
</li><li>Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understanding, generation, and task planning.
</li><li>Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance the reasoning capability of agents with external knowledge.
</li><li>Perform fine-tuning of foundational models for specific domains, tasks, or use cases.
</li><li>Design and experiment with lightweight models (e.g., Phi, Tiny LLMs) for efficiency in real-time or on-device scenarios.
</li><li>Collaborate cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver end-to-end AI solutions.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Your Profile
</b></h2></div><div><ul><li>Proven experience of 4+ years in developing and deploying Agentic AI systems.
</li><li>Strong experience with LLMs, particularly Meta&rsquo;s LLaMA family or similar open-source models.
</li><li>Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and related tools like LangChain, Haystack, etc.
</li><li>Knowledge and experience with model fine-tuning using frameworks like HuggingFace Transformers, PEFT, or LoRA.
</li><li>Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems.
</li><li>Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Transformers, etc.
</li><li>Familiarity with prompt engineering and chaining logic for LLMs.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>What you&rsquo;ll love about working here
</b></h2></div><div><ul><li>You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
</li><li>You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
</li><li>You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.&bull;We&rsquo;re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work .
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>About Capgemini
</b></h2></div></div></div><div></div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div>

Agentic AI Developer

OREDATA

<div>
 <p>
  OREDATA is a Digital Transformation &amp; IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical &amp; data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.
 </p>
 <p>
  Read more: https://medium.com/@oredata-engineering
 </p>
 <p>
  Apply and be part of our exciting journey!
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design and Develop Agentic AI Systems: Architect, develop and deploy intelligent agent systems that exhibit autonomous decision-making and action-taking capabilities, leveraging large language models (LLMs) and other advanced AI techniques
  </li>
  <li>
   Data Analysis &amp; Predictive Modeling: Analyze and interpret large, complex datasets using advanced statistical techniques and machine learning algorithms. Develop and implement predictive models, including recommendation engines, to identify patterns, trends, and actionable insights
  </li>
  <li>
   Feature Engineering &amp; Data Orchestration: Lead the collection, cleaning, organization, and transformation of large, complex datasets from multiple sources into high-quality features for training and evaluating AI models
  </li>
  <li>
   System Integration &amp; Scalability: Build and maintain scalable software infrastructure and data pipelines required for AI/ML and agentic AI deployments. Ensure the seamless integration of AI agents with existing systems and workflows
  </li>
  <li>
   Cross-functional Collaboration &amp; Communication: Collaborate effectively with cross-functional teams, including product managers, data scientists, and business stakeholders, to understand business needs, translate them into AI solutions, and present complex findings and data-driven results in a clear and concise manner to diverse audiences
  </li>
  <li>
   Innovation &amp; Research: Drive innovation in agentic AI methodologies, tools, and applications within the organization. Conduct research and experimentation with new generative AI and agentic techniques, staying abreast of the latest advancements in the field
  </li>
  <li>
   Performance Optimization &amp; Monitoring: Optimize agent workflows for reliability, safety and performance. Implement robust monitoring and evaluation frameworks for deployed AI agent systems
  </li>
 </ul>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a relevant field
  </li>
  <li>
   Proven experience
   <strong>
    5 to 10 years
   </strong>
   in software development, with a strong focus on AI/ML engineering
  </li>
  <li>
   Demonstrated experience&nbsp; in building and deploying AI agent systems or similar autonomous systems
  </li>
  <li>
   Solid understanding of machine learning algorithms, statistical modeling and data analysis techniques
  </li>
  <li>
   Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
  </li>
  <li>
   Experience with prompt engineering and fine-tuning Large Language Models (LLMs)
  </li>
  <li>
   Strong problem-solving and analytical skills with an ability to translate complex data into actionable business strategies
  </li>
  <li>
   Excellent communication, presentation, and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders
  </li>
 </ul>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Experience with cloud computing platforms, particularly Google Cloud Platform (GCP)
  </li>
  <li>
   Familiarity with specific Agentic AI frameworks such as Google Cloud ADK (Agent Development Kit), CrewAI, LangChain etc
  </li>
  <li>
   Experience with MLOps principles and tools for model deployment and monitoring
  </li>
  <li>
   Knowledge of techniques for grounding generative models with external knowledge sources (e.g., Retrieval-Augmented Generation - RAG, Knowledge Graphs)
  </li>
  <li>
   Experience with multi-agent systems and orchestration
  </li>
 </ul>
 <p>
  <strong>
   Get to know us
  </strong>
 </p>
 <p>
  If you want to know more about us and what we do, then visit our website: www.oredata.com
 </p>
 <p>
  <strong>
   Why Oredata?
  </strong>
 </p>
 <ul>
  <li>
   Remote working and flexible time off
  </li>
  <li>
   Open communication, flexibility and start-up spirit
  </li>
  <li>
   Learning &amp; Development opportunities for both personal and professional growth
  </li>
  <li>
   Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)
  </li>
  <li>
   Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)
  </li>
  <li>
   Dynamic work ecosystem where you can take initiative and responsibility
  </li>
  <li>
   Opportunity to work on international projects
  </li>
  <li>
   Private Health Insurance
  </li>
  <li>
   Birthday Leave Policy
  </li>
  <br/>
 </ul>
 <p>
  <strong>
   Ki&scedil;isel verileriniz i&scedil;e al&inodot;m s&uuml;recinin y&uuml;r&uuml;t&uuml;lebilmesi amac&inodot;yla veri sorumlusu s&inodot;fat&inodot;yla &scedil;irketimiz Oredata Yaz&inodot;l&inodot;m A.&Scedil;. taraf&inodot;ndan i&scedil;lenecektir.
  </strong>
  Ki&scedil;isel verilerinizin i&scedil;lenmesi ve haklar&inodot;n&inodot;zla ilgili detayl&inodot; bilgiye https://oredata.com/personal-data-protection-policy/ ba&gbreve;lant&inodot;s&inodot; &uuml;zerinden ula&scedil;abilirsiniz.
  <br/>
  <br/>
 </p>
</div>


Agentic AI Engineer

Binance

<div><span style="font-size: 13px;">The role is critical for delivering production-grade AI applications that enhance user experience, automate workflows, and power intelligent user interactions.</span></div>  <div> <div><b> Responsibilities </b><ul> <ul> <li>Oversee the entire AI bot project from planning, implementation, maintenance and tuning.</li> <li>Design and implement AI agent architectures that can understand user requests, reason through complex problems, and execute multi-step plans</li> <li>Build frameworks for AI agents to interact with various tools, APIs, and services</li> <li>Create mechanisms for effective human-AI collaboration, including clarification, feedback, guidance and follow-up questions</li> <li>Optimize agent performance for reliability, accuracy, and efficiency</li> <li>Build monitoring and evaluation systems to assess agent performance and identify areas for improvement</li> <li>Collaborate with cross-functional teams to integrate agents into products and workflows</li> <li>Stay updated with the latest research and developments in AI agent technology</li> </ul> </ul> </div> </div> <div> <div> Requirements <ul> <ul> <li>Bachelor s or Master s degree in Computer Science, AI, or related field</li> <li>3+ years of experience building AI/ML systems, with a proven track of building production-grade AI applications (prefer in autonomous agents)</li> <li>Strong programming skills, particularly in Python, Java</li> <li>Practical experience with large language models (e.g., GPT, Claude, Gemini, Deepseek), prompt engineering, MCP, RAG etc.</li> <li>Understanding of reinforcement learning, planning algorithms, and decision-making systems</li> <li>Familiarity with tools, APIs, and infrastructure needed for agent deployment</li> <li>Experience with workflow orchestration and system design</li> <li>Excellent problem-solving and analytical thinking skills</li> <li>Strong communication and collaboration abilities</li> </ul> </ul> </div> </div> <div> <div> Preferred Skills <ul> <ul> <li>Conduct at least one AI chatbot/agent application using Dify / LangChain or similar framework</li> <li>Experience in CS chatbot development, like user intend recognition, conversation, and knowledge base enhancement</li> <li>Familiar with data analysis, model tuning through data cleaning and feature engineering</li></ul></ul></div></div>

AI Application Software Engineer

Trimble

<div><div>Business Title: Lead Agentic AI Engineer</div><div>
Job Location(s): Chennai, India (In-Office)<br>
The Team: AECO Segment, Agentic AI Platform Team</div><ul><li><div><br>
At Trimble, we are enabling our customers by leveraging cutting-edge artificial intelligence. We believe that intelligent agents will fundamentally transform how businesses operate. We are building a foundational Agentic AI Platform to power these next-generation applications, and we're looking for passionate, experienced engineers to lead the way.</div><div></div><div>
What you will do<br>
As a Full-Stack Software Engineer on the Agentic AI Platform team, you will be instrumental in building both the backend systems and the frontend interfaces that power our sophisticated AI agents. You will tackle challenging technical problems across the stack, implementing robust backend services, APIs, and scalable infrastructure, as well as developing intuitive user interfaces for internal tools, testing environments, or agent interaction components. You will contribute to the architectural direction, collaborating closely with backend specialists, frontend developers, designers, and AI researchers. This role requires strong software engineering fundamentals across both backend and frontend development, practical experience building scalable systems, and a keen interest or experience in modern AI technologies, especially Large Language Models (LLMs).</div><div></div><div>
1. Full-Stack Development &amp; Implementation:</div><ul><li><div>
Design, implement, test, and deploy robust backend components for the agentic AI platform (APIs, services, orchestration, data persistence) using languages like Python, Typescript, Java, etc. (Python highly relevant).</div></li><li><div>
Design, implement, test, and deploy user-facing features and internal tools using modern frontend technologies, including JavaScript, TypeScript, React, HTML, and CSS.</div></li><li><div>
Develop core libraries, SDKs, and components across the stack to enable efficient development and deployment of AI agents and associated tooling.</div></li><li><div>
Write high-quality, maintainable, and well-tested code for both backend and frontend systems.</div></li><li><div>
Implement and improve monitoring, logging, and alerting across the full stack.</div></li><li><div>
Participate actively in code reviews for both frontend and backend code.</div></li></ul><div></div><div>
2. Technical Design &amp; Contribution:</div><ul><li><div>
Contribute significantly to technical design and architecture discussions, considering both backend and frontend implications for new features and system improvements.</div></li><li><div>
Collaborate with principal engineers, product managers, UX/UI designers, and researchers to refine requirements and translate them into effective full-stack technical solutions.</div></li><li><div>
Evaluate and prototype new technologies, algorithms, and frameworks relevant to agentic AI, platform infrastructure, and frontend development.</div></li><li><div>
Take ownership of the technical implementation for specific features or components spanning the full stack.</div></li></ul><div></div><div>
3. Collaboration &amp; Knowledge Sharing:</div><ul><li><div>
Work closely with teammates and cross-functional partners (Product, Design, Research, other Engineering teams) to deliver cohesive user experiences and robust backend capabilities.</div></li><li><div>
Share knowledge, document designs and processes effectively for both backend and frontend aspects.</div></li><li><div>
May mentor junior engineers on full-stack development practices.</div></li></ul><div></div><div>
4. Operational Excellence:</div><ul><li><div>
Troubleshoot and debug complex issues in production environments, potentially spanning frontend, backend, and infrastructure layers.</div></li><li><div>
Participate in addressing issues across the stack.</div></li><li><div>
Contribute to improving the scalability, performance, security, usability, and cost-effectiveness of the platform and its interfaces.</div></li></ul><div></div><div>
What You Should Bring</div><ul><li><div>
Bachelor's degree in Computer Science, Engineering, or a related field.</div></li><li><div>
5+ years of professional full-stack software development experience.</div></li><li><div>
Strong proficiency in one or more backend programming languages such as Python, Javascript/Typescript or Java (Python highly relevant for the AI domain).</div></li><li><div>
Strong proficiency in frontend technologies including JavaScript, TypeScript, HTML, CSS, and modern frontend frameworks (specifically React).</div></li><li><div>
Experience building developer tools or interfaces for complex technical products (e.g., AI/ML tooling, data platforms).</div></li><li><div>
Hands-on experience with agentic AI concepts/frameworks (e.g., LangChain, LlamaIndex), vector databases (e.g., Pinecone, Weaviate), or RAG techniques.</div></li><li><div>
Experience in computer science fundamentals (data structures, algorithms, operating systems, networking).</div></li><li><div>
Experience building, deploying, and operating backend services and APIs in a cloud environment (AWS, GCP, or Azure).</div></li><li><div>
Experience building and deploying responsive and performant user interfaces.</div></li><li><div>
Experience with system design and architecture, with the ability to contribute to complex design discussions covering the full stack.</div></li><li><div>
Interest in or practical experience with AI/ML concepts, particularly working with or integrating Large Language Models (LLMs).</div></li><li><div>
Experience with software development best practices (testing frameworks for backend and frontend, CI/CD, monitoring, code reviews).</div></li><li><div>
Strong problem-solving skills and attention to detail.</div></li><li><div>
Good communication and collaboration skills, including working with designers.</div></li></ul><div></div><div>
Preferred Qualifications</div><ul><li><div>
Experience building platform or infrastructure-as-a-service components.</div></li><li><div>
Experience with state management libraries (e.g., Redux, Zustand) and frontend build tools (e.g., Webpack, Vite).</div></li><li>
Experience with MLOps practices and tools.</li><li><div>
Experience with containerization (Docker) and orchestration (Kubernetes).</div></li><li><div>
Experience with infrastructure-as-code (e.g., Terraform).</div></li><li><div>
Experience optimizing the performance and scalability of both backend distributed systems and frontend applications.</div></li></ul><div></div><div>
About the Agentic AI Platform Team</div><div>
The Agentic AI Platform Team is a new team. This role will have significant influence on the technical strategy and implementation. The team is currently reporting through Trimble&rsquo;s AECO segment, though we fully expect the Agentic AI Platform services will be leveraged to build AI-powered products across Trimble Construction (AECO + FS).</div><div></div><div>
Trimble&rsquo;s Inclusiveness Commitment</div><div>
We believe in celebrating our differences. That is why our diversity is our strength. To us, that means actively participating in opportunities to be inclusive. Diversity, Equity, and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work.</div><div>
We have programs in place to make sure our people are seen, heard, and welcomed and most importantly that they know they belong, no matter who they are or where they are coming from.</div></li></ul><div><br>
How to Apply: Please submit an online application for this position by clicking on the &lsquo;Apply Now&rsquo; button located in this posting.</div><div><br>
Application Deadline: Applications could be accepted until at least 30 days from the posting date.</div><div></div><div>
Join a Values-Driven Team: Belong, Grow, Innovate.</div><div></div><div>
At Trimble, our core values of Belong, Grow, and Innovate aren't just words&mdash;they're the foundation of our culture. We foster an environment where you are seen, heard, and valued (Belong); where you have an opportunity to build a career and drive our collective growth (Grow); and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual. Become part of a team where your contributions truly matter.</div><div></div><div><div>
Trimble&rsquo;s Privacy Policy</div></div><div></div><div>
If you need assistance or would like to request an accommodation in connection with the application process, please contact AskPX@px.trimble.com.</div></div>

Agentic Artificial Intelligence Engineer

Microsoft

<div>
 Are you excited by the challenge of building intelligent, autonomous systems that deliver real-world impact? The Commerce Risk Analytics team at Microsoft is looking for a machine learning engineer to design, develop, and continuously improve a multi-agent AI Risk system that enables autonomous risk transaction review and decision-making. You&rsquo;ll be working at the intersection of large language models (LLMs), applied machine learning, and platform integration&mdash;building solutions that power scenarios from fraud prevention to customer support automation.
 <br/>
 <br/>
 We&rsquo;re hiring across several focus areas, and your role will align with your expertise and interests:
 <br/>
 <br/>
 <ul>
  <li>
   Autonomous Agent Development for Risk Decision &ndash; building LLM-based decision-making agents and advancing a multi-agent risk system
  </li>
  <li>
   AI Integration &amp; MLOps &ndash; enabling scalable infrastructure, data pipelines, and operational excellence
  </li>
  <li>
   Quality &amp; Integration &ndash; focusing on agent behavior testing, UI/UX integration, and platform reliability
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 As a machine learning engineer, you will:
 <br/>
 <br/>
 <ul>
  <li>
   Design and optimize multi-agent AI architectures that enable autonomous risk assessment and decision-making at scale, leveraging agent collaboration to reduce huma manual effort and minimize false positive rates.
  </li>
  <li>
   Implement agentic ML infrastructure that automates the full model development lifecycle enabling continuous learning, adaptive optimization, and scalable risk decisioning.
  </li>
  <li>
   Build and evolve AI-driven solutions that improve the accuracy, speed, and adaptability of fraud detection across a wide range of Commerce scenarios.
  </li>
  <li>
   Develop infrastructure and MLOps pipelines to support continuous training, deployment, and monitoring
  </li>
  <li>
   Conduct rigorous behavior testing and validation, focusing on performance, safety, and real-world edge cases
  </li>
  <li>
   Integrate AI agents with Azure AI services, Microsoft Graph API, Power Platform, and internal systems
  </li>
  <li>
   Apply best practices in security, compliance, and privacy to all aspects of agent development
  </li>
  <li>
   Partner closely with product managers, engineers, and data scientists to translate complex business challenges into scalable technical solutions, ensuring alignment and impact across stakeholders
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  </li>
  <ul>
   <li>
    OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
   </li>
   <li>
    OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
   </li>
   <li>
    OR equivalent experience.
   </li>
  </ul>
  <li>
   3+ years of experience in software engineering, data science, or machine learning
  </li>
  <li>
   2+ years experience with LLMs, prompt engineering, and the OpenAI API
  </li>
  <li>
   2+ years experience with Azure services, cloud infrastructure, and CI/CD pipelines
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working with multi-agent frameworks such as AutoGen, Semantic Kernal and Langchain.
  </li>
  <li>
   Knowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring
  </li>
  <li>
   Exposure to Power Platform, Microsoft Graph API, or enterprise integration technologies
  </li>
  <li>
   Experience debugging skills and a solid understanding of security and data protection principles
  </li>
  <li>
   Ability to communicate technical concepts effectively with both technical and non-technical stakeholders
  </li>
  <li>
   Proficiency in Python for development and scripting
   <br/>
   <br/>
  </li>
 </ul>
 Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
 <br/>
 <br/>
 Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
 <br/>
 <br/>
 Microsoft will accept applications for the role until October 29th, 2025
 <br/>
 <br/>
 <strong>
  Other Requirements
  <br/>
  <br/>
 </strong>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>


Machine Learning Engineer

<div><div>Join us in building a cutting-edge platform that enables seamless observation and interaction with AI agents. Our mission is to empower creators and organizations by providing tools for Human-in-the-Loop (HITL) workflows, intelligent prioritization, and advanced learning systems. You&rsquo;ll be part of a team that thrives on innovation and collaboration to redefine how humans and AI work together.</div><div></div><div><br>
As a<b> Research Engineer</b>, you will design and implement research-driven solutions that enhance agent transparency, task grouping, and adaptive learning. You&rsquo;ll explore methods for integrating memory, knowledge graphs, evaluations, and AI judges into our platform to improve agent performance and user experience. This role offers opportunities to deepen your expertise in applied AI, contribute to scalable systems, and shape the future of human-AI collaboration. You will work closely with internal and external stakeholders to develop algorithms that analyze interactions and generate actionable insights. Your contributions will help create teaching and learning moments for agent makers, driving continuous improvement. This position provides a flexible work environment and the chance to accelerate your career while influencing next-generation AI platforms.</div><div><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div><div></div><div><br>
#EiP</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Design and implement algorithms that enable transparent, interactive AI agent workflows.
</li><li>Collaborate with engineers and researchers to integrate HITL capabilities, memory, knowledge, and evaluation frameworks into the platform.
</li><li>Analyze agent-human interactions to extract insights, optimize task prioritization, and create adaptive learning mechanisms.
</li><li>Drive experimentation, validate hypotheses, and contribute to scalable solutions that improve both internal and client-facing AI agents.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience, e.g., It could include examples as well: prompt engineering, agent orchestration (Semantic Kernel, LangChain), offline and online evaluation, and customization techniques for large language models (Fine tuning, RAG, memory and prompt optimization)<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field<br>
</li><li>
OR equivalent experience.</li></ul></li></ul><div></div><div><b>
Other Requirements</b>:</div><div></div><div><br>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</div><ul><li><b>
Microsoft Cloud Background Check</b>: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering,or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, orrelated field</li><li>
OR equivalent experience.</li></ul></li></ul><div>
Applied Sciences IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $109,000 - $180,400 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
<br>
<br>
Microsoft will accept applications for the role until November 30th, 2025.</div><div></div><div><br>
#BICJOBS #BIC, #Agent, #AI #EiP</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Research Engineer

<div>
 <strong>
  Position Summary
  <br/>
  <br/>
 </strong>
 We are seeking an experienced and innovative AI/ML Agent Developer to design, develop, and deploy intelligent agents within a multi-agent orchestration framework. This role involves building autonomous agents that leverage LLMs, reinforcement learning, prompt engineering, and decision-making strategies to perform complex data and workflow tasks. You&rsquo;ll work closely with cross-functional teams to operationalize AI across diverse use cases such as annotation, data quality, knowledge graph construction, and enterprise automation.
</div>


Assistant Manager-Data Science-Gen AI Engineer

Search 10000+ Engineering agent jobs near you this October. New roles added regularly across leading industries. Apply today.