Agent orchestration frameworks jobs

Designing and implementing multi-agent orchestration frameworks and agentic workflows
Building Retrieval-Augmented Generation (RAG) solutions leveraging both structured and unstructured enterprise data
Developing enterprise knowledge retrieval platforms across SharePoint, document repositories, databases, and external knowledge sources
Implementing AI governance controls including source traceability, explainability, auditability, and human review workflows
Productionizing LLM-based applications with observability, monitoring, performance Eligible to workimization, and security controls

Requirements

Nice to have: Redis
Nice to have: Elasticsearch
Nice to have: Neo4j
Nice to have: Financial Services Domain Experience

Skills

Python Azure OpenAI OpenAI APIs LangGraph Retrieval-Augmented Generation (RAG)

Principal Platform Engineer - People Systems

Apple · Posted Nov 6, 2026

Open

Sunnyvale, California, United States
On-site
Principal
15+ years

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Architect and lead the technical strategy for Apple’s People Systems platform, shaping configuration-driven, scalable, and secure systems that support recruiting, onboarding, core HR, payroll, compensation, and benefits.

Responsibilities

Design and architect large-scale, configuration-driven platforms for People Systems
Define data models, rules, workflows, permissions, screens and reports
Ensure system scalability, security, and resilience
Collaborate with product managers and cross-functional engineering teams
Translate business requirements into technical designs

Requirements

BS or MS in Computer Science, Software Engineering or related field
Nice to have: expression languages
Nice to have: rule engines
Nice to have: policy engines
Nice to have: typed ASTs

Skills

system design technical architecture solution architecture configuration-driven platform metadata models multi-tenancy

AI Engineer

Artech LLC · Posted Nov 5, 2026

Open

New York, New York, United States
On-site
Contract
$55–$60 per hour

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Designing and implementing multi-agent orchestration frameworks and agentic workflows, building Retrieval-Augmented Generation (RAG) solutions, developing enterprise knowledge retrieval platforms, implementing AI governance controls, productionizing LLM-based applications, architecting scalable AI platform capabilities, leading technical design discussions and mentoring engineering teams

Compensation

Pay Range: $55-60/Hour on W2/C2C (All Inclusive)

Responsibilities

Designing and implementing multi-agent orchestration frameworks and agentic workflows
Building Retrieval-Augmented Generation (RAG) solutions leveraging both structured and unstructured enterprise data
Developing enterprise knowledge retrieval platforms across SharePoint, document repositories, databases, and external knowledge sources
Implementing AI governance controls including source traceability, explainability, auditability, and human review workflows
Productionizing LLM-based applications with observability, monitoring, performance optimization, and security controls

Requirements

Nice to have: Redis
Nice to have: Elasticsearch
Nice to have: Neo4j
Nice to have: Financial Services Domain Experience

Skills

Python Azure OpenAI OpenAI APIs

Senior Associate - AI Automation Engineer

Oaktree Capital Management · Posted Oct 27, 2026

Open

Hyderabad, Telangana, India +1 more
Senior
10+ years

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Architect and implement production-grade AI automation infrastructure on Azure, orchestrating LLM-powered systems across enterprise workflows.

Locations (2)

Hyderabad, Telangana, India
Los Angeles, California, United States

Responsibilities

Architect & Build AI Automation Solutions
Design and implement AI-driven automation workflows leveraging large language models available through Azure AI Foundry and Azure ML model catalog
Build agent-based systems using modern orchestration frameworks (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen, or similar)
Implement tool-using agents, RAG pipelines, and structured function-calling patterns
Design robust integration layers for enterprise systems (APIs, databases, workflow platforms)

Skills

Python backend engineering LLM deployment

AI ML Developer

Capgemini · Posted Nov 3, 2026

Open

Aguascalientes, Mexico
Senior
5+ years

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Senior Machine Learning Engineer responsible for designing, developing, deploying, and maintaining advanced AI and ML solutions, including generative AI, LLMs, RAG, and agentic AI systems.

Responsibilities

Design, develop, test, deploy, and maintain Machine Learning models and AI-powered applications
Build scalable feature engineering, training, validation, and inference pipelines
Develop production-ready model services, APIs, and AI-enabled application components
Implement model monitoring, performance tracking, and continuous improvement processes
Ensure reliability, scalability, and maintainability of ML solutions in production environments

Requirements

Bachelor's degree in Computer Science or related field
Nice to have: Google Cloud & Vertex AI
Nice to have: Vertex AI Pipelines
Nice to have: Vertex AI Workbench
Nice to have: Vertex AI Studio

Skills

Machine Learning Deep Learning Supervised Learning Unsupervised Learning Natural Language Processing

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