Research Intern - Systems for Reliable and Scalable AI Agents Job at Microsoft Corporation (Redmond)

Senior AI Engineer

Guidepoint is seeking an experienced Senior AI Engineer to join our Toronto-base...

Location

Canada , Toronto

Salary:

Not provided

Modoras Accounting Syd

Expiration Date

Until further notice

Requirements

6+ years of professional experience (or 5+ with a Master’s degree) designing, building, and scaling distributed, production-grade backend systems
2+ years building and operating Generative AI and agentic systems in production
Strong software engineering fundamentals in Python, including building and scaling REST APIs using frameworks such as FastAPI, with experience in asynchronous programming and microservices
Hands-on experience building enterprise AI agents and workflows using LLM platforms such as OpenAI, Anthropic (Claude), or Google Gemini, and frameworks like LangChain or agent SDKs
Experience building and operating within the enterprise AI ecosystem, including custom GPTs or agents, agent builders, connectors/apps, and application or agent SDKs (e.g., OpenAI Apps SDK, ChatKit, or equivalents)
Experience designing and operating agent integration layers (e.g., MCP servers or similar) that connect AI agents to internal APIs, tools, and services, with secure authentication and authorization using enterprise identity platforms such as Okta, Microsoft Entra ID, or OAuth-based systems
Strong understanding of AI governance, compliance, and responsible AI practices, including access control, auditability, data handling, and secure deployment of AI systems in enterprise environments
Direct experience with RAG, vector search using databases such as Elasticsearch, multi-agent AI systems, tool-calling agents, prompt engineering, and agent evaluation in production environments
Cloud-native experience deploying and operating containerized applications on Azure (preferred) or AWS/GCP using Docker and Kubernetes
Proven ability to lead complex technical initiatives, make sound architectural decisions, and mentor engineers building production-ready AI systems

Job Responsibility

Design, build, and operate scalable, low-latency backend services and REST APIs that power Generative AI capabilities, including retrieval-augmented generation (RAG) pipelines, vector search, and enterprise-grade agentic systems
Own the full lifecycle of AI applications and agents, from system architecture and development to CI/CD, deployment, agent evaluation, monitoring, and ongoing optimization in production
Build production-grade research agents and enterprise AI workflows that integrate LLMs with proprietary knowledge, vector databases (e.g., Elasticsearch), internal tools, external APIs, and real-time data
Design and operate multi-agent AI systems, including tool-calling agents and agent orchestration patterns, to support complex research and enterprise workflows
Apply AIOps best practices for building, evaluating, deploying, and operating AI agents with strong observability, reliability, and quality controls
Continuously improve retrieval and generation quality using prompt engineering, retrieval tuning, re-ranking, advanced chunking strategies, and hallucination reduction techniques
Provide technical leadership through design discussions, code reviews, and mentorship, and partner closely with product and business stakeholders to influence the AI roadmap

What we offer

Paid Time Off
Comprehensive benefits plan
Company RRSP Match
Development opportunities through the LinkedIn Learning platform

Forward Deployed Engineer

Workato transforms technology complexity into business opportunity. As the leade...

Location

United States , Palo Alto

Salary:

Not provided

Workato

Expiration Date

Until further notice

Requirements

BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field
A total of 4+ years of relevant experience in design, development, and implementation
At least 1 year of experience in Workato
Proven experience in AI engineering, with a focus on agent-based systems
Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations
Knowledge of implementing integration projects is essential
Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases
Strong working knowledge of APIs—RESTful, SOAP/XML
Solid understanding of data structures—JSON
Sound knowledge of any RDBMS/NoSQL

Job Responsibility

Implement agent-based AI solutions using the Workato Agentic AI platform
Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform
Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)
Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows
Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform
Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform
Continuously monitor and improve AI system performance, ensuring efficiency and reliability
Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation
Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment
Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base

What we offer

Vibrant and dynamic work environment
Multitude of benefits they can enjoy inside and outside of their work lives

Senior Forward Deployed Engineer

We are looking for an experienced Senior Forward Deployed Engineer to join our A...

Location

India , Chennai

Salary:

Not provided

Workato

Expiration Date

Until further notice

Requirements

BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field
A total of 8+ years of relevant experience in design, development, and implementation
At least 3 years of experience with the Workato platform
Proven experience in AI engineering, with a focus on agent-based systems
Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations
Knowledge of implementing integration projects is essential
Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases
Strong working knowledge of APIs—RESTful, SOAP/XML
Solid understanding of data structures—JSON
Sound knowledge of any RDBMS/NoSQL

Job Responsibility

Architect and implement agent-based AI solutions using the Workato Agentic AI platform
Designing intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform
Design and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)
Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows
Act as a technical solutions expert with a strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform
Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform
Continuously monitor and improve AI system performance, ensuring efficiency and reliability
Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation
Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment
Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base

What we offer

A vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives

Senior Forward Deployed Engineer

We are looking for an experienced Senior Forward Deployed Engineer to join our A...

Location

India , Bangalore

Salary:

Not provided

Workato

Expiration Date

Until further notice

Requirements

BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field
A total of 8+ years of relevant experience in design, development, and implementation
At least 3 years of experience with the Workato platform is a must
Proven experience in AI engineering, with a focus on agent-based systems
Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations
Knowledge of implementing integration projects is essential
Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases
Strong working knowledge of APIs—RESTful, SOAP/XML
Solid understanding of data structures—JSON
Sound knowledge of any RDBMS/NoSQL

Job Responsibility

Architect and implement agent-based AI solutions using the Workato Agentic AI platform
Designing intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform
Design and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)
Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows
Act as a technical solutions expert with a strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform
Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform
Continuously monitor and improve AI system performance, ensuring efficiency and reliability
Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation
Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment
Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base

What we offer

A vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives

Senior Forward Deployed Engineer

We are looking for an experienced Senior Forward Deployed Engineer to join our A...

Location

India , Hyderabad

Salary:

Not provided

Workato

Expiration Date

Until further notice

Requirements

BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field
A total of 8+ years of relevant experience in design, development, and implementation
At least 3 years of experience with the Workato platform
Proven experience in AI engineering, with a focus on agent-based systems
Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations
Knowledge of implementing integration projects is essential
Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases
Strong working knowledge of APIs—RESTful, SOAP/XML
Solid understanding of data structures—JSON
Sound knowledge of any RDBMS/NoSQL

Job Responsibility

Architect and implement agent-based AI solutions using the Workato Agentic AI platform
Designing intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform
Design and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)
Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows
Act as a technical solutions expert with a strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform
Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform
Continuously monitor and improve AI system performance, ensuring efficiency and reliability
Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation
Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment
Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base

Research Engineer – Agentic Platforms

The Office of the Chief Technology Officer (OCTO) is building the next generatio...

Location

Mexico

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

Deep hands-on expertise with large language model APIs and inference frameworks (e.g., OpenAI, Anthropic, Mistral, vLLM, Ollama, HuggingFace Transformers)
Strong practical experience designing and building multi-agent systems using agentic SDKs and orchestration frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent
Proficiency in Python and experience building production-grade AI/ML services with clean, well-documented, testable code
Solid understanding of RAG architectures, vector databases (e.g., Pinecone, Weaviate, pgvector), and knowledge retrieval patterns
Experience with prompt engineering, LLM evaluation methodologies, and strategies for improving agent reliability and reducing hallucination
Familiarity with LLM inference optimization techniques including quantization, batching, caching, and model serving infrastructure
5+ years of software engineering experience, with at least 2 years focused on LLM-based systems, agentic workflows, or applied AI research
Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field, or equivalent demonstrated expertise
Proven track record designing and shipping multi-agent or LLM-powered systems into production environments
Experience collaborating across research and engineering teams to move from prototype to scalable, maintainable platform capability

Job Responsibility

Design and implement multi-agent systems that coordinate specialized LLM-powered agents to solve complex, multi-step analytical and operational tasks
Design agent orchestration patterns including task decomposition, inter-agent communication, tool use, memory management, and feedback loops
Build scalable agentic pipelines that integrate with Teradata’s data platform, enabling agents to query, analyze, and act on enterprise data autonomously
Design and manage LLM inference pipelines optimized for latency, throughput, and cost across cloud and on-premises deployments
Evaluate, benchmark, and select appropriate foundation models (open-source and proprietary) for specific agentic tasks within the Teradata ecosystem
Implement advanced prompting strategies including chain-of-thought, retrieval-augmented generation (RAG), and tool-augmented reasoning to maximize agent reliability and accuracy
Build and extend internal agentic SDKs and frameworks that enable research and product teams to rapidly develop and deploy agent-based applications
Integrate with leading agentic platforms and toolkits (e.g., LangChain, LlamaIndex, AutoGen, CrewAI, Anthropic Claude SDKs) and adapt them for enterprise-grade reliability
Develop reusable agent components, tool connectors, and evaluation harnesses that accelerate the path from prototype to production
Collaborate with research teams to translate cutting-edge LLM and agent research into production-ready platform capabilities

What we offer

People-first culture
Flexible work model
Focus on well-being
Inclusive environment

Fulltime

AI Engineer

Reporting to the AI & Technology Oversight Manager, the AI Engineer is responsib...

Location

India , Mumbai

Salary:

Not provided

Waystone Governance Ltd.

Expiration Date

Until further notice

Requirements

Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases
Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows
Proven ability to integrate AI capabilities both into low-code automation flows and high-code stacks, including, applications, APIs, microservices, distributed systems, and development or testing tools
Solid software development background with hands-on coding experience in one or more engineering ecosystem such as .NET (C#), Python, or TypeScript
Excellent communication skills, with the ability to translate complex AI concepts for non‑experts and to effectively influence and collaborate with stakeholders at all levels, both technical and non‑technical
Strong writing skills, with the ability to contribute to AI literacy and AI fluency documentation
Strong understanding of responsible AI principles, including governance, bias mitigation, compliance, and risk-based decision-making
Analytical thinking with excellent problem‑solving ability and keen attention to details
Ability to mentor developers and testers, and to drive innovation across engineering, QA, and architecture
Ability to assess AI‑enabled capabilities in third‑party SaaS platforms (e.g., Appian, Salesforce,etc) and provide guidance on responsible, effective adoption

Job Responsibility

Hands-on contributor to the design and development of AI-enabled solutions, capable of writing both production-quality code and rapid experimental prototypes
Develop and implement AI‑enabled microservices, APIs, applications, and internal tools
Integrate AI capabilities following secure, scalable engineering best practices
Design, build and validate AI‑driven solutions leveraging providers such as OpenAI and Anthropic
Enhance low‑code/no‑code automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant
Implement Model Context Protocol (MCP) servers for secure AI‑to‑system connectivity
Lead AI‑based document parsing and intelligent data extraction initiatives
Contribute to educating and enabling Enterprise Capabilities areas, including Integration and Automation, by providing guidance, training, and best practices, e.g., on effective use of n8n agents
Engage with business stakeholders to understand requirements, constraints, and key drivers, identifying and implementing high‑value AI opportunities across Waystone
Prototype AI features and iterate towards production‑ready capabilities

Fulltime

AI Engineer

Reporting to the AI & Technology Oversight Manager, the AI Engineer is responsib...

Location

United Kingdom , Leeds

Salary:

Not provided

Waystone Governance Ltd.

Expiration Date

Until further notice

Requirements

Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases
Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows
Proven ability to integrate AI capabilities both into low-code automation flows and high-code stacks, including, applications, APIs, microservices, distributed systems, and development or testing tools
Solid software development background with hands-on coding experience in one or more engineering ecosystem such as .NET (C#), Python, or TypeScript
Excellent communication skills, with the ability to translate complex AI concepts for non‑experts and to effectively influence and collaborate with stakeholders at all levels, both technical and non‑technical
Strong writing skills, with the ability to contribute to AI literacy and AI fluency documentation
Strong understanding of responsible AI principles, including governance, bias mitigation, compliance, and risk-based decision-making
Analytical thinking with excellent problem‑solving ability and keen attention to details
Ability to mentor developers and testers, and to drive innovation across engineering, QA, and architecture
Ability to assess AI‑enabled capabilities in third‑party SaaS platforms (e.g., Appian, Salesforce,etc) and provide guidance on responsible, effective adoption

Job Responsibility

Hands-on contributor to the design and development of AI-enabled solutions, capable of writing both production-quality code and rapid experimental prototypes
Develop and implement AI‑enabled microservices, APIs, applications, and internal tools
Integrate AI capabilities following secure, scalable engineering best practices
Design, build and validate AI‑driven solutions leveraging providers such as OpenAI and Anthropic
Enhance low‑code/no‑code automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant
Implement Model Context Protocol (MCP) servers for secure AI‑to‑system connectivity
Lead AI‑based document parsing and intelligent data extraction initiatives
Contribute to educating and enabling Enterprise Capabilities areas, including Integration and Automation, by providing guidance, training, and best practices, e.g., on effective use of n8n agents
Engage with business stakeholders to understand requirements, constraints, and key drivers, identifying and implementing high‑value AI opportunities across Waystone
Prototype AI features and iterate towards production‑ready capabilities

Fulltime

Research Intern - Systems for Reliable and Scalable AI Agents

Microsoft Corporation

Location:
United States , Redmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 10, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Research Intern - Systems for Reliable and Scalable AI Agents

Senior AI Engineer

Forward Deployed Engineer

Senior Forward Deployed Engineer

Senior Forward Deployed Engineer

Senior Forward Deployed Engineer

Research Engineer – Agentic Platforms

AI Engineer

AI Engineer

Research Intern - Systems for Reliable and Scalable AI Agents

Microsoft Corporation

Location:United States , Redmond

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:April 10, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Research Intern - Systems for Reliable and Scalable AI Agents

Senior AI Engineer

Forward Deployed Engineer

Senior Forward Deployed Engineer

Senior Forward Deployed Engineer

Senior Forward Deployed Engineer

Research Engineer – Agentic Platforms

AI Engineer

AI Engineer

Location:
United States , Redmond

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
April 10, 2026