Multi Agent Systems

Multi Agent Systems Engineer Jobs

8 jobs found

Today

AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)

Capital One San Jose, CA

San Jose, CA

Today

$251k - $286k/yr Full time Agentic Ai Artificial Intelligence Generative AI

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Job Description

Capital One is hiring an AI Engineer 5 to build and support AI-powered products and foundational AI systems in an onsite role in San Jose, CA.

Responsibilities

Collaborate with cross-functional partners including engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Apply Open Source and SaaS AI tooling such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch
Develop and introduce foundation model optimization techniques to improve scalability, cost, latency, and throughput for large-scale production AI
Contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One
Design and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models
Establish and lead cost-performance governance reviews across AI systems, including GPU utilization, model throughput, and inference cost efficiency
Lead team design councils or design review boards to support technical consistency and compliance with AI engineering standards
Mentor Principal and Manager-level AI engineers to support cross-domain learning and raise organizational technical maturity

Requirements

Education + experience: Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus at least 6 years experience developing AI/ML algorithms or technologies; or Master’s degree plus at least 4 years experience
Programming: at least 6 years programming with Python, Go, Scala, CUDA, or Java

Technologies

AWS Ultraclusters
Huggingface
VectorDBs
PyTorch
AWS, Google Cloud, Azure
Python, Go, Scala, CUDA, Java, C++, C#, Golang
LLMs, vector search, GPU utilization
Rule-based, retrieval-augmented, generative components

Benefits

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

Team

Intelligent Foundations and Experiences (IFX) team brings Capital One’s AI vision to life
Works with partners across the company to advance state-of-the-art science and AI engineering
Builds and deploys proprietary solutions central to the business, delivering value to millions of customers
Enables teams across Capital One to enhance products with responsible, scalable AI

Ideal Candidate

Enjoys building systems, taking pride in quality work, and doing the right thing
Interested in problems that help change banking for good
Stays current with AI research, can interpret scientific publications, and applies novel techniques in production
Thrives on bringing clarity to big, undefined problems
Asks questions, digs to find root causes, and communicates findings clearly
Shares new ideas even when they are unproven
Deeply technical with strong engineering and mathematics foundations
Understands optimization opportunities across hardware, software, and AI
Resilient trailblazer able to forge new paths toward business goals when the route is unknown

Preferred Qualifications

Experience leading development AI systems with tradeoff decisions across cost, latency, throughput, and accuracy
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, delivering, and supporting complex AI systems
Experience developing AI/ML algorithms such as LLM inference, similarity search and VectorDBs, guardrails, and memory using Python, C++, C#, Java, CUDA, or Golang
Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost
Experience building agentic AI systems and agentic workflows
Experience architecting and integrating heterogeneous AI systems including rule-based, retrieval-augmented, and generative components into unified production pipelines
Experience defining and enforcing ethical AI deployment standards (explainability, fairness, and human-in-the-loop review processes)
Ability to balance model performance and operational cost using dynamic inference and model compression
Experience right-sizing models, instance counts, and hardware types based on requirements such as context length and token inputs/outputs

Salary and Location

Location: San Jose, CA (onsite)
Salary: USD 250,800 - 286,200 per year

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1mo ago

Senior Agentic AI Engineer

Cryonix AI Denver, CO

Denver, CO

1mo ago Closed

$60+/hr Full time Backend Developer Senior Agent Orchestration

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

Cryonix AI is seeking a Senior Agentic AI Engineer in Denver, CO to help design, build, and take enterprise-grade AI solutions to production. The focus is on scalable generative AI products and autonomous multi-agent systems, with an emphasis on resilient architectures and production readiness for digital entertainment experiences.

In this role, you will help shape agent behavior end to end, from autonomous service design through safe tool execution, reliable coordination between agents, and operational safeguards grounded in SRE principles.

Responsibilities

Design, develop, and deploy autonomous AI services and multi-agent workflows from early concept through full enterprise production.
Integrate MCP for agent-to-tool connectivity using open communication protocols, and use A2A for secure agent-to-agent coordination and task delegation.
Architect hybrid control flows, including state machines and graphs, to manage multi-step reasoning while balancing probabilistic LLM behavior with deterministic code paths for critical backend transactions.
Build secure tool execution environments using sandboxed execution contexts and strict egress controls to support runtime safety.
Work with cross-functional teams to convert business requirements into technical agent specifications and scalable microservices.
Apply SRE principles to agent behavior by implementing fallback mechanisms, circuit breakers, and detailed audit trails for observability and reliability.

Requirements

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
5+ years of experience in software development or data science, with a proven track record shipping LLM-powered systems into live production.
Advanced coding skills in Python, with deep understanding of backend frameworks such as FastAPI or Flask.

Technologies

Python
FastAPI
Flask
MCP
A2A

Location and Work Type

Denver, CO (onsite)
In person

Compensation

USD 60 per hour
From $60.00 per hour

Application Question

Are you a US Citizen?

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1mo ago

Agentic AI Engineer

Motion Recruitment Charlotte, NC

Charlotte, NC

1mo ago Closed

Full time Agentic Ai Agentic Ai Orchestration Ai Agent

This position is no longer accepting applications (closed Sep 17, 2026).

Job Description

Motion Recruitment is seeking an Agentic AI Engineer in Charlotte, NC (onsite) to design, build, deploy, and maintain AI-powered agents and multi-agent systems. This role focuses on automating business processes through secure integrations, HIPAA-aware development practices, and strong observability for reliable agent performance.

Core Responsibilities

Design and build AI agents using LLMs and agent frameworks including LangChain, LangGraph, CrewAI, and AutoGen
Develop multi-agent workflows for enterprise use cases such as insurance reconciliation, clinical record summarization, and procurement automation
Implement agent capabilities including reasoning, planning, memory, and tool-use
Integrate agents with enterprise systems such as Salesforce, HubSpot, EMR systems, internal APIs, databases, and SaaS applications
Build RAG solutions using company knowledge bases
Apply HIPAA-aware development practices, including RBAC, audit logging, least-privilege tool access, and prompt-injection defense
Monitor agent performance, reliability, and cost by building evaluation and observability frameworks
Rapidly prototype and iterate on AI-driven workflows with direct input from business stakeholders
Mentor junior developers on agentic AI development practices

Time Allocation

70% AI Agent Development & Enterprise Integration
20% Platform Engineering & Observability
10% Collaboration & Documentation

Required Qualifications

Python
LLM API experience (including OpenAI, Anthropic, Google, etc.)
Experience with LangChain and/or LangGraph
Experience with CrewAI and/or AutoGen and/or Microsoft Agent Framework
API integration
SQL and database knowledge
Experience with AWS, Azure, or GCP
Familiarity with MCP-enabled systems
Experience with healthcare/dental EMR systems such as DSN Cloud and WinOMS

Technologies

Python, LLM APIs, OpenAI, Anthropic, Google
LangChain, LangGraph, CrewAI, AutoGen, Microsoft Agent Framework
SQL, AWS, Azure, GCP, MCP-enabled Systems
DSN Cloud, WinOMS, Salesforce, HubSpot
RAG, HIPAA, RBAC

Benefits

Competitive base salary plus bonus and equity/long-term incentive
Medical insurance
Dental benefits
Vision benefits
Paid time off (PTO)

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1mo ago

AI Engineer

Transformativ, LLC Dallas-Fort Worth, TX

Dallas-Fort Worth, TX

1mo ago Closed

$75 - $100/hr Contract Agentic Ai Ai Engineer Artificial Intelligence

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

Transformativ, LLC is hiring an AI Engineer (contract) to design, build, and deploy production-ready enterprise AI systems spanning agentic AI, LLMs, and multi-agent orchestration.

Responsibilities

Design and deploy production-ready Agentic AI and multi-agent systems
Build enterprise AI applications in Python using platforms such as OpenAI, Anthropic, Google Gemini, Azure OpenAI, or similar
Develop AI workflows using orchestration frameworks including LangGraph, CrewAI, AutoGen, MCP, or comparable tools
Integrate AI solutions with REST APIs, databases, and enterprise systems such as Microsoft 365, ERP, and CRM
Partner with business leaders to convert operational challenges into practical AI solutions
Lead technical design discussions and mentor other engineers when appropriate
Evaluate emerging AI technologies and recommend approaches that fit real production needs

Requirements

Professional experience building production AI applications
Strong Python development skills
Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, Azure OpenAI, etc.)
Experience with Agentic AI, autonomous agents, multi-agent systems, or AI orchestration
Experience integrating REST APIs, databases, and enterprise applications
Excellent communication skills with client-facing consulting experience
Ability to explain complex AI concepts to both technical and business audiences

Technologies

Python; OpenAI; Anthropic; Google Gemini; Azure OpenAI
LangGraph; CrewAI; AutoGen; MCP; Semantic Kernel
Microsoft 365; ERP; CRM
REST APIs; APIs; databases
AWS; Google Cloud; Azure
Machine Learning; Intelligent Automation; Autonomous multi-agent systems

Location

Dallas-Fort Worth, TX (hybrid)
Work location: Hybrid remote in McKinney, TX 75070
Dallas, TX preferred; remote considered for exceptional candidates

Job Type & Compensation

1099 Independent Contractor with Contract-to-Hire Opportunity
Pay range: $75.00–$100.00 per hour
Compensation: Competitive hourly rate based on experience

Preferred Experience

Experience with LangGraph, CrewAI, AutoGen, MCP, Semantic Kernel, or similar frameworks
Experience on cloud platforms including Azure, AWS, or Google Cloud
Background in healthcare, manufacturing, supply chain, finance, procurement, or private equity
Experience with AI governance, security, evaluation, and responsible AI practices
Technical leadership or consulting experience

Why Join Transformativ

Work on cutting-edge enterprise AI implementations
Collaborate directly with executives and enterprise clients
Opportunity for long-term leadership and growth
Flexible, high-impact consulting environment

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1mo ago

Senior AI Engineer

Diverse Lynx Aguadilla

Aguadilla

1mo ago Closed

$50 - $55/hr Contract Senior Agentic Ai AI

This position is no longer accepting applications (closed Aug 23, 2026).

Job Description

Diverse Lynx is seeking a Senior AI Engineer to lead the design, development, and deployment of agentic AI capabilities, with a focus on autonomous multi-agent systems. The role partners with business, data, and platform teams to deliver scalable, secure, production-grade AI platforms. This onsite contract position in Aguadilla, Puerto Rico offers an hourly rate of $50 to $55.

Responsibilities

Architect and implement Agentic AI systems, incorporating planning, reasoning, task execution, memory, and feedback loops.
Develop multi-agent architectures including task agents, reasoning agents, tool-calling agents, and orchestration agents.
Apply retrieval-augmented generation, Knowledge Graph, and memory-based AI patterns for enterprise use cases.
Integrate large language models with enterprise systems, APIs, tools, and workflows.
Define end-to-end AI solution architecture from data ingestion to inference and observability.
Build reusable AI services, agent frameworks, and orchestration layers.
Ensure AI solutions are scalable, resilient, performant, and secure.
Collaborate with cloud, data, and MLOps teams to productionize solutions.
Define agent evaluation metrics, including accuracy, autonomy, cost, latency, and safety.
Embed Responsible AI guardrails covering governance, explainability, auditability, and compliance.
Work with product owners, domain SMEs, and architects to translate business problems into AI solutions.
Mentor junior engineers and contribute to AI engineering standards and best practices.
Support client discussions, solution walkthroughs, and technical decision making.

Requirements

Strong proficiency in Python (mandatory).
Hands-on experience with Agentic AI frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, or equivalents.
Experience with large language models including OpenAI, Azure OpenAI, Anthropic, and open-source models.
Expertise in RAG, embeddings, vector databases, and prompt engineering.
Experience building multi-agent orchestration, tool calling, and workflow automation.
Experience with vector stores such as Pinecone, FAISS, Weaviate, Chroma, and similar technologies.
Knowledge of knowledge graphs, ontologies, and semantic search.
Cloud experience on Azure, AWS, or GCP.
Familiarity with APIs, microservices, and event-driven architectures.
Model monitoring, evaluation, and cost optimization.
8–12+ years of overall software or AI engineering experience.
3+ years hands-on experience in Generative AI and emerging Agentic AI systems.
Experience delivering production-grade AI solutions in enterprise environments.
Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.

Technologies

Python
LangGraph
LangChain
LlamaIndex
AutoGen
CrewAI
OpenAI
Azure OpenAI
Anthropic
Pinecone
FAISS
Weaviate
Chroma
Azure
AWS
GCP
APIs
Microservices
Event driven architectures
Knowledge Graph

Nice to Have

Experience in regulated industries such as pharma, healthcare, or life sciences.
Exposure to knowledge graphs, scientific/R&D workflows, or enterprise automation.

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1mo ago

Machine Learning Engineer, Agentic Systems

ServiceNow Mountain View, CA

Mountain View, CA

1mo ago Closed

Full time Backend Developer Agent Orchestration Ai Workflows

This position is no longer accepting applications (closed Aug 21, 2026).

Job Description

This distributed systems engineering role builds the runtime infrastructure powering Moveworks AI agents in Mountain View, CA (onsite), focusing on orchestration, execution, and real-time delivery of agent responses rather than a traditional ML role.

Responsibilities

Agent orchestration engine: design and operate a state machine that manages long running agent sessions, coordinating planning, execution, and user interactions across multiple LLM calls and tool invocations
Distributed session management: enforce lease based ownership through DynamoDB conditional writes, maintain heartbeats, and enable crash recovery via checkpointing
Event driven messaging pipeline: leverage SQS FIFO for ordered delivery, process events with Kafka consumers, and stream in real time using gRPC and Socket.IO
Structured concurrency: use Python asyncio TaskGroups to run multiple concurrent tasks per session (polling messages, lease heartbeats, publishing outputs, orchestrator work) with fail fast semantics and clean cancellation
Observability: instrument with OpenTelemetry, propagate distributed trace context across async boundaries, and manage custom span lifecycles for minutes-long sessions
Caching and state management: Redis and DynamoDB key-value stores scoped per organization and per bot, optimize batch reads, and support hot reload of configuration

Requirements

Distributed systems: experience with consistency models, idempotency, exactly once delivery, and distributed locking or leasing
Concurrent and async programming: strong skills in Python asyncio or Go goroutines, with structured concurrency and cancellation handling
Event driven architectures: familiarity with message queues (SQS, Kafka), pub/sub patterns, backpressure, and delivery guarantees
Database systems for infrastructure: DynamoDB (conditional writes, transactions) and Redis (connection pooling, pub/sub)
Observability: OpenTelemetry, distributed tracing, span context propagation, and Prometheus metrics
gRPC and protobuf: streaming RPCs, service interface design, and common error handling patterns
2+ years building production backend or infrastructure systems
Strong in Python or Go, ideally both
Experience designing and operating systems that handle real traffic at scale
Comfort with ambiguity and solving novel problems without standard solutions

Technologies

Python
Go
asyncio
DynamoDB
Redis
SQS
Kafka
gRPC
protobuf
Socket.IO
OpenTelemetry
Prometheus

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1mo ago

Staff Machine Learning Engineer, Agentic Systems

ServiceNow Mountain View, CA

Mountain View, CA

1mo ago Closed

Full time Agent Orchestration Agentic Ai Ai Agents

This position is no longer accepting applications (closed Aug 20, 2026).

Job Description

Staff Machine Learning Engineer on the agent lab team in Mountain View, CA, focusing on scalable AI agents, memory, orchestration, and end-to-end integration with Moveworks and ServiceNow.

Responsibilities

Tackle difficult engineering challenges to design and evolve reliable, capable AI agent systems at scale.
Develop and productionize cutting edge AI algorithms and architectures for scalable deployment.
Leverage current machine learning, large language models, and AI agents to improve products and deliver compelling user experiences.
Influence the product roadmap and steer the evolution of engineering domains to deliver enduring value for customers.
Write robust, extensible, readable, and high performance code.
Collaborate with ML, security, product, user experience, and customer success experts to learn from one another and deliver a leading enterprise AI product.
Mentor teammates on building, maintaining, and evolving high quality software.
Collaborate with ML engineers to share knowledge and build world class AI systems.

Requirements

8+ years designing, building, and improving production systems, preferably at scale.
Clear analytical and communication skills for complex engineering problems and systems.
Comfort with giving and receiving feedback, and maintaining high operational standards for yourself and teammates.
Ready to operate in a Mac development environment, with proficiency in Python, Go, and/or Java.
Willingness to ship quickly in a startup setting with a high degree of ownership.
Meticulous attention to detail.
Motivation to deliver product improvements using production‑grade code.
Proven appetite for rapid, incremental wins and completing challenging projects efficiently.
Curiosity about adjacent engineering disciplines and a commitment to staying at the forefront of applied AI.

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2mo ago

Lead Machine Learning Engineer - Generative AI and Agent Platforms

JPMorganChase Jersey City, NJ

Jersey City, NJ

2mo ago Closed

$164k - $260k/yr Full time Ai Ml Ai Platform Artificial Intelligence

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