Agent Orchestration

Agent Orchestration Developer Jobs

7 jobs found

4d ago

Senior Software Developer (Agentic Development)

TherapyNotes.com Philadelphia, PA 🇺🇸 Remote

Philadelphia, PA

4d ago

$110k - $135k/yr Full time Backend Developer Senior .NET Core

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Job Description

Responsibilities

Design, develop, and maintain agentic orchestrations, automated workflows, and internal tools that improve software delivery outcomes.
Collaborate with QA, product management, product ownership, engineering leadership, and design to identify workflow bottlenecks and build solutions that boost collaboration and delivery quality.
Create agent-based workflows that coordinate multi-step tasks, interact with internal systems, use tools safely, and provide reliable, auditable outputs.
Establish patterns and best practices for trustworthy AI-assisted software delivery tools, including guardrails, validation steps, human-in-the-loop review, and measurable quality controls.
Evaluate emerging AI, automation, and orchestration technologies and determine how they can be responsibly applied to software delivery.
Build reusable frameworks, services, APIs, and integrations that enable teams to automate common delivery activities.
Improve engineering effectiveness by reducing repetitive manual work, increasing consistency, and helping teams make better technical and product decisions.
Collaborate with security, compliance, and architecture stakeholders to ensure internal tools meet reliability, privacy, maintainability, and governance standards.
Perform occasional full-stack feature development within the context of the AI Toolset.
Mentor and assist in the training and onboarding of new developers.

Requirements

Five or more years of experience developing software in an Agile, team-based environment.
BS and/or MS in a technical discipline (Computer Science or Software Engineering preferred).
Strong understanding of object-oriented programming concepts and design patterns.
Proficiency with Angular, ASP.NET Core, C#, JavaScript, TypeScript, CSS, SASS, and HTML.
Experience with PostgreSQL or other relational databases, and Entity Framework Core or similar ORM frameworks.
Experience building internal platforms, developer tools, automation frameworks, workflow engines, integrations, or productivity tools.
Solid understanding of the software development lifecycle, including planning, development, testing, code review, release management, and operational support.
Ability to design reliable, maintainable, and scalable software architectures.
Excellent communication skills with the ability to collaborate effectively across engineering, QA, product, management, and design teams.

Technologies

Angular
ASP.NET Core
C#
JavaScript
TypeScript
CSS
SASS
HTML
PostgreSQL
Entity Framework Core

Benefits

Competitive salary in the range of $110,000 to $135,000 per year
Employer-sponsored health, dental, vision, life, and disability insurance
Retirement plan with company contribution
Annual profit sharing
Personal development and training budget
Open, collaborative work environment
Comprehensive two-week onboarding plan
Structured mentorship program

Preferred Qualifications

Experience building AI-assisted applications, LLM-powered tools, autonomous or semi-autonomous agents, or agentic workflow systems.
Familiarity with orchestration frameworks, tool-calling architectures, retrieval-augmented generation, prompt engineering, evaluation frameworks, or AI safety practices.
Knowledge of secure software development practices, privacy-aware system design, and governance for AI-enabled tools.
Experience working in healthcare technology, SaaS, regulated environments, or organizations with strong compliance requirements.

Success in this role looks like

You thoroughly understand TherapyNotes.com’s software development process, architecture, and codebase organization.
You engineer tools, processes, and workflows that meaningfully reduce friction in the software development and delivery process.
You improve speed, quality, and consistency of work across development, QA, product, management, and design teams.
You create agentic workflows that are useful, reliable, explainable, and safe for teams to use.
You balance innovation with practical engineering discipline, ensuring automation improves outcomes without introducing unnecessary risk.
You help establish a foundation for responsible application of AI and automation to software delivery within the organization.

EQUAL OPPORTUNITY EMPLOYER STATEMENT & APPLICANT RIGHTS

Know Your Rights: Workplace Discrimination is Illegal
Family and Medical Leave Act (FMLA): Employee Rights Under FMLA

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11d ago

Lead Principal Machine Learning Engineer

Oracle San Francisco, CA

San Francisco, CA

11d ago

Full time Senior Agent Orchestration AI

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Job Description

Oracle in San Francisco is seeking a senior principal machine learning engineer to define, build, and operate next-generation AI systems on Oracle Cloud Infrastructure (OCI). This hands-on technical leader will set the architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications used in large-scale, business-critical environments.

Responsibilities

Serve as a senior technical owner for OCI AI platform capabilities, including agent execution, inference systems, model serving, AI workflow orchestration, evaluation, and observability.
Design, architect, and deliver scalable agentic AI systems capable of reasoning, planning, tool use, workflow execution, multi-step task orchestration, and safe human-in-the-loop escalation.
Build production-grade services for tool calling, agent memory, context management, Model Context Protocol (MCP) integration, vector retrieval, multi-agent coordination, policy enforcement, and evaluation.
Lead architecture across distributed services optimized for low latency, high throughput, GPU efficiency, reliability, cost, operability, and secure multi-tenant operation.
Define service boundaries, APIs, data models, state management, consistency tradeoffs, failure modes, SLIs/SLOs, rollout strategies, and operational readiness criteria for AI platform services.
Drive technical strategy across infrastructure, platform, security, data, and application engineering teams, converting broad goals into executable multi-quarter plans and measurable milestones.
Integrate AI agents securely and reliably with enterprise APIs, cloud services, databases, identity systems, secrets management, and external systems.
Establish AgentOps and LLMOps practices for tracing, monitoring, eval suites, regression testing, experimentation, safety guardrails, prompt/tool versioning, and production reliability.
Evaluate and operationalize emerging technologies in generative AI, agentic workflows, inference optimization, long-context systems, reasoning models, AI developer tooling, and agentic-first development.
Drive engineering excellence through code reviews, design reviews, test strategy, deployment automation, incident analysis, documentation, and AI-assisted development practices using tools such as Codex, Claude Code, Cursor, Copilot, or similar systems.
Mentor staff and senior engineers, raise architectural standards, and influence engineering practices across OCI without requiring direct management authority.
Own critical production outcomes, including reliability, performance, security posture, cost efficiency, and supportability for the systems delivered.

Requirements

Bachelor's, Master's, or Ph.D. in Computer Science, AI/ML, Engineering, or a related field, or equivalent practical experience.
12+ years of professional software engineering experience, including significant ownership of production systems; or equivalent experience demonstrating senior staff / principal-level impact.
Proven track record as a Staff, Senior Staff, Principal, or equivalent technical leader influencing architecture and execution across multiple teams.
Deep experience designing, building, and operating high-scale distributed systems, cloud services, infrastructure platforms, or AI/ML platform services.
Hands-on experience with production AI systems, agentic AI applications, autonomous workflows, tool-using agents, multi-step orchestration, or multi-agent systems.
Practical experience with orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, or similar ecosystems.
Deep understanding of LLM application patterns, including prompt design, structured outputs, function/tool calling, context management, RAG, memory, tool safety, and evaluation.
Strong programming skills in Python and ability to contribute high-quality production code, reviews, tests, and debugging in complex distributed environments.
Strong expertise with Kubernetes, Docker, cloud-native infrastructure, service-to-service communication, scalability, fault tolerance, observability, and performance analysis.
Experience defining SLIs/SLOs, production readiness criteria, incident response practices, monitoring, tracing, experiments, and reliability programs for AI or distributed systems.
Strong understanding of AI safety, governance, security, and operational risks for autonomous or semi-autonomous systems, including data handling, access control, auditability, and human accountability.
Excellent written and verbal communication, with demonstrated ability to lead technical direction, resolve ambiguity, and influence senior stakeholders.

Technologies

Python
Kubernetes
Docker
LangGraph
LangChain
CrewAI
AutoGen
LlamaIndex
Model Context Protocol (MCP)
Oracle Cloud Infrastructure (OCI)
Codex
Claude Code
Cursor
Copilot

Preferred Qualifications

Experience optimizing large-scale GPU inference or training workloads for latency, throughput, utilization, availability, and cost.
Experience building or operating model serving, inference gateways, agent runtimes, workflow engines, developer platforms, or internal AI productivity platforms.
Experience integrating AI systems with enterprise APIs, databases, cloud services, vector databases, embeddings, retrieval systems, identity systems, and policy enforcement layers.
Experience with LLM fine-tuning, long-context systems, reasoning models, model routing, caching, batching, quantization, or emerging generative AI research.
Experience building evaluation frameworks for agentic systems, including offline evals, online experiments, golden tasks, adversarial testing, regression gates, and observability dashboards.
Experience using AI-assisted software development tools such as Codex, Claude Code, Cursor, Copilot, or similar systems in large-scale engineering environments.
Track record of defining architectural standards, platform capabilities, or engineering practices adopted across multiple teams or organizations.
Experience in enterprise, cloud infrastructure, regulated, security-sensitive, or mission-critical environments.

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17d ago

Now Assist AI Agent/LLM Topic Developer

Tata Consultancy Services Scottsdale, AZ

Scottsdale, AZ

17d ago

$85k - $95k/yr Full time Agent Orchestration Ai Agents Ai Workflows

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Job Description

In Scottsdale, Tata Consultancy Services is seeking a Now Assist AI Agent/LLM Topic Developer to help shape intelligent support workflows inside ServiceNow. The role centers on building and configuring AI agents, crafting LLM-powered topics, and designing end-to-end ITSM and HR/CSM workflows, while tuning prompts and dialog to deliver accurate, natural interactions.

Responsibilities

Build and configure AI agents (virtual agents, copilots) on ServiceNow
Design multi-step agent workflows for real scenarios
Use Now Assist capabilities to automate ITSM workflows (incidents, requests)
Use Now Assist capabilities to automate HR / CSM use cases
Create LLM-powered “topics” (use cases) for agents
Design Prompts
Design Instructions
Design Guardrails
Tune responses for: Accuracy
Tune responses for: Tone
Tune responses for: Business context
Define dialog flows: Intents
Define dialog flows: User journeys
Define dialog flows: Fallback handling
Ensure: Natural conversation
Ensure: Minimal friction
Improve metrics like: Containment rate
Improve metrics like: Resolution rate

Requirements

Strong hands-on and leadership experience in Servicenow AI Agent Studio (Yokohama/Zurich)
Practical experience on NowAssist Skills Kit
Strong knowledge and hands-on experience on LLM Topic configuration
Build and configure AI agents (virtual agents, copilots) on ServiceNow
Design multi-step agent workflows for real scenarios
Experience using Now Assist capabilities to automate ITSM workflows (incidents, requests)
Experience using Now Assist capabilities to automate HR / CSM use cases
Create LLM-powered “topics” (use cases) for agents
Design prompts, instructions, and guardrails
Tune responses for accuracy, tone, and business context
Define dialog flows (Intents, User journeys, Fallback handling)
Ensure natural conversation and minimal friction
Improve metrics like containment rate and resolution rate

Technologies

ServiceNow
Now Assist
NowAssist Skills Kit
ServiceNow AI Agent Studio

Location

Scottsdale, AZ (onsite)

Job Details

Job Function: TECHNOLOGY

Role: Engineer

Job ID: 417686

Salary: USD 85,000 - 95,000 per yearly

Desired Skills: Artificial Intelligence

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1mo ago

Azure AI Developer (Mid/Sr. Level)

INSPYR Solutions Deerfield Beach, FL

Deerfield Beach, FL

1mo ago Closed

$65 - $71/hr Contract .NET Agent Orchestration Ai Agents

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

Job Description

The Azure AI Developer (Mid/Senior) will join the Enterprise Architecture team to design, build, integrate, and deploy autonomous AI agents. This hybrid role is based in Deerfield Beach, FL on a contract engagement with an hourly rate of USD 65 to 71, requiring at least four years of experience and blending pro-code Azure development with low-code AI tooling to deliver enterprise-grade solutions.

Responsibilities

Design, build, and deploy autonomous AI agents and multi-agent systems that can reason, plan, and act.
Integrate large language models such as Claude and GPT-4 via Azure AI Foundry and Azure OpenAI to create conversational copilots and workflow automations.
Develop end-to-end AI applications, moving seamlessly between Pro-Code (Python / Azure Functions) and Low-Code (Power Platform) approaches.
Utilize Microsoft Copilot Studio and Dataverse to construct intelligent, enterprise-grade assistants integrated within the Microsoft ecosystem.
Connect AI agents to enterprise data sources (Dataverse, SharePoint, SQL) using Retrieval-Augmented Generation patterns to ground responses.
Operate as a versatile developer, writing API connectors, configuring Dataverse tables, and refining prompt flows as needed.
Ensure agentic workflows align with security, governance, and ethical guidelines.

Requirements

4+ years of Azure development experience, including Azure AI Services, Azure Functions, Azure AI Foundry, and Azure Machine Learning.
Proven experience building AI agents using frameworks such as LangChain, Semantic Kernel, or AutoGen.
Strong Generative AI skills with Claude and ChatGPT API, including prompt engineering.
Extensive experience with Microsoft Power Platform (Power Automate, Power Apps) and Microsoft Dataverse.
Proficiency in Python, with C#/.NET also acceptable.
Able to learn quickly and adopt new tools, focusing on applying AI to deliver tangible results rather than pursuing AI theory.

Technologies

Azure AI Services, Azure Functions, Azure AI Foundry, Azure Machine Learning
Azure OpenAI, LangChain, Semantic Kernel, AutoGen
Claude, GPT-4, ChatGPT API
Python, C#, .NET
Microsoft Power Platform, Power Automate, Power Apps, Dataverse
Copilot Studio, Agent Studio
SharePoint, SQL

Benefits

Comprehensive medical benefits
Competitive compensation
401(k) retirement plan
Additional benefits available

Role Overview

We seek a highly adaptable Azure AI Developer who can bridge pro-code Azure development with low-code AI tooling. The role centers on building, integrating, and deploying autonomous AI agents that address real business challenges, leveraging Claude and GPT capabilities to experiment and deliver practical solutions in enterprise settings.

About Inspyr Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, Inspyr aligns industry and technical expertise with client objectives and cultural needs. Our offerings span professional services, project work, and talent placements, tailored to each client. By pursuing excellence and emphasizing the human aspect of our business, we collaborate effectively with both talent and clients.

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1mo ago

Agentic AI Engineer / Developer

Tata Consultancy Services Charlotte, NC

Charlotte, NC

1mo ago Closed

$110k - $125k/yr Full time Agent Agent Orchestration Ai Workflows

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

Job Description

Senior Agentic AI Engineer/Developer at Tata Consultancy Services in Charlotte, NC, focusing on designing and deploying agentic AI workflows that leverage large language models, tools, memory, and orchestration frameworks while ensuring scalability, observability, and safety in enterprise environments.

Responsibilities

Lead design and implementation of agentic AI architectures using LLMs, multi-agent orchestration, and modern AI frameworks to deliver scalable, reliable solutions.
Create end-to-end agentic workflows that integrate LLMs, tool interfaces, memory modules, and orchestration patterns.
Build multi-step reasoning pipelines with guardrails, retry logic, and fallback strategies to ensure resilience.
Integrate agents with enterprise systems such as APIs, databases, ticketing platforms, knowledge bases, and messaging tools.
Develop prompt templates, tool schemas, and context management patterns for dependable task execution.
Establish observability for agent runs, including traces, latency, token usage, cost, and failure analytics.
Enforce safety controls including policy checks, output validation, and human-in-the-loop approvals where appropriate.
Optimize agent performance via evaluation sets, benchmark scenarios, and continuous tuning.
Assemble modular components for planner-executor patterns, retrieval, and decision routing to support scalable systems.
Harden production deployments with authentication, authorization, and secure secret handling.
Troubleshoot hallucinations, tool misuse, and context-window issues through systematic diagnostics.
Collaborate with product and operations teams to translate business workflows into automatable agent tasks.
Maintain comprehensive developer documentation and best practices for scalable agent systems.
Apply LLM concepts including embeddings, tokenization, and context windows, plus evaluation techniques and safety guardrails.

Requirements

10+ years hands-on experience with LLMs, multi-agent orchestration, and AI frameworks to deliver scalable, reliable agentic solutions.
Design and implement agentic AI workflows using LLMs, tools, memory, and orchestration frameworks.
Build multi-step reasoning pipelines with guardrails, retry logic, and fallback strategies.
Integrate agents with enterprise systems (APIs, databases, ticketing, knowledge bases, and messaging tools).
Develop prompt templates, tool schemas, and context management patterns for reliable task execution.
Establish observability for agent runs: traces, latency, token usage, cost, and failure analytics.
Implement safety controls including policy checks, output validation, and human-in-the-loop approvals.
Optimize agent performance through eval sets, benchmark scenarios, and continuous tuning.
Build modular components for planner-executor patterns, retrieval, and decision routing.
Harden production deployments with authentication, authorization, and secure secret handling.
Troubleshoot hallucinations, tool misuse, and context-window issues using systematic diagnostics.
Collaborate with product and operations teams to convert business workflows into automatable agent tasks.
Maintain developer documentation and best practices for scalable, maintainable agent systems.
Experience with LLMs and fine-tuning concepts; knowledge of embeddings, tokenization, and context windows.
Evaluation techniques for agent performance.
Understanding of AI safety, hallucination mitigation, and guardrails.

Benefits

Discretionary annual incentive.
Comprehensive medical coverage including medical, dental, vision, disability, and pet insurance plans.
Maternal and parental leaves to support family needs.
Auto and home insurance options plus identity theft protection.
Commuter benefits and reimbursement for certification and training opportunities.
Paid time off including vacation, personal time off, sick leave, and holidays.
Legal assistance, 401K plan, performance bonus, college fund, and student loan refinancing options.

Generic Managerial Skills

Proactive, results-oriented leadership capable of mentoring and motivating a dynamic team toward high performance.
Strong communication, collaboration, and team-building abilities with quick assimilation of new technical concepts.

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1mo ago

RPA Lead Developer – UiPath

Cognizant Dayton, OH

Dayton, OH

1mo ago Closed

Full time .NET Agent Orchestration Agile

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

Job Description

Cognizant offers a role that centers on leading end-to-end UiPath automation and guiding development teams to build scalable RPA solutions. This hybrid position is based in Dayton, Ohio with three days in the office each week, and it prioritizes a healthy work-life balance through wellbeing programs.

Benefits

Healthy work-life balance through wellbeing programs

Responsibilities

Design and govern RPA solutions using UiPath, ensuring alignment with architectural standards and SDLC/Agile practices; review designs and enforce coding standards across iterations.
Produce detailed design artifacts and collaborate with Architects and SMEs to validate requirements, estimate effort, and guide delivery teams.
Develop proofs of concept to validate new automation capabilities and partner with process owners to identify opportunities and build a compelling business case for automation.
Plan and execute unit, integration, and system testing; coordinate UAT with business users and drive defect resolution through to closure.
Incorporate NLP, OCR, and AI or GenAI capabilities within RPA solutions and contribute to opportunity assessments to determine the best automation approach.

Requirements

7+ years of hands-on RPA and automation development experience, with a proven track record designing and delivering complex, enterprise-grade automations using UiPath capabilities such as Agentic Automation, Intelligent Automation Platform (IXP), Communications Mining, Document Understanding, UiPath Apps, and Action Center.
Proficiency with core UiPath components including Studio, Orchestrator, RE Framework, Queues, Triggers, Assets, Exception Handling, Storage Buckets, and Cloud Orchestrator.
Strong programming background in .NET, VB, C++, or similar Microsoft technologies, with the ability to write SQL queries and DML statements.
Experience assessing automation opportunities and integrating AI/ML capabilities such as NLP, OCR into end-to-end RPA workflows.
UiPath certifications in Agentic Automation Professional, Specialized AI Professional and Automation Developer Professional, or Automation Solution Architect Professional.
Demonstrated experience supporting business case development and presenting proof of value for automation initiatives.

Technologies

UiPath Studio
UiPath Orchestrator
RE Framework
Queues, Triggers, Assets
Exception Handling
Storage Buckets, Cloud Orchestrator
Agentic Automation, Intelligent Automation Platform (IXP)
Communications Mining, Document Understanding
UiPath Apps, Action Center
.NET, VB, C++, SQL, DML
NLP, OCR, GenAI, AI

Location

Dayton, OH

Work Model

Hybrid (3 Days in office)

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2mo ago

AI Agent Developer

Openkyber Alaska

Alaska

2mo ago Closed

Full time Agent Orchestration Artificial Intelligence Azure

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

Job Description

Openkyber is seeking an experienced AI Agent Developer for an onsite role in Alaska. This senior position requires 10+ years of experience and centers on Python proficiency along with deep expertise in the Azure cloud stack, embeddings, vector databases, RAG, and AI coding agents.

The ideal candidate will contribute to building reliable AI agent capabilities within Azure, aligning with Openkyber's focus on advanced AI workflows and practical deployments.

Requirements

Excellent in Python
Good understanding of Azure cloud stack
Good understanding of embeddings
Experience with vector databases
Familiarity with RAG
Experience using AI Coding agents Co-pilot
AMP
Claude Code
Financial Domain expertise

Technologies

Python
Azure cloud stack
Co-pilot
AMP
Claude Code

How to apply

Applications and inquiries: hirings@openkyber.com

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Agent Orchestration Developer Jobs

Senior Software Developer (Agentic Development)

Lead Principal Machine Learning Engineer

Now Assist AI Agent/LLM Topic Developer

Azure AI Developer (Mid/Sr. Level)

Agentic AI Engineer / Developer

RPA Lead Developer – UiPath

AI Agent Developer

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