AI Engineer

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October 23

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Orion Innovation

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Enterprise • SaaS • Telecommunications

Orion Innovation is a leading digital transformation firm that partners with clients to drive digital innovation. With over 30 years of experience, Orion offers services in cloud and infrastructure management, cybersecurity, data and analytics, and enterprise platform solutions. The company works across various sectors, including telecommunications, media, professional services, financial services, industrial products, medtech, healthcare, and education, helping clients improve operations and enhance customer experiences. Their mission is to inspire and accelerate digital transformation and innovation.

5001 - 10000 employees

Founded 1992

🏢 Enterprise

☁️ SaaS

📡 Telecommunications

💰 Funding Round on 2015-01

📋 Description

• Own the technical design and architecture of GenAI agent workflows within the Business Pod • Serve as a hands-on developer, actively contributing to the design, coding, and delivery of production-grade agents and tools • Lead code and design reviews, ensuring alignment with architectural standards and platform best practices • Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns • Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI • Develop prompt chains, agent tools, and custom modules that support reasoning, summarization, and multi-step task execution • Integrate agents with enterprise systems (e.g., Workday, SAP, Salesforce) via REST APIs, SDKs, or message queues • Build and manage agent lifecycle components, including initialization, memory/state handling, and fallback logic • Implement and consume vector store integrations, prompt templates, and retrieval-augmented generation (RAG) techniques • Ensure workflows are robust, secure, and observable, with proper logging, monitoring, and exception handling • Partner with Product Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback • Contribute to the automation of testing, deployment, and validation pipelines for AI agents • Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field • 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions • Strong proficiency in Python, with hands-on experience using FastAPI, REST APIs, and background task orchestration • Deep familiarity with agentic frameworks such as LangChain, LangGraph, CrewAI, ReAct, or similar • Understanding of LLM orchestration, including prompt design, tool usage, context management, and agent memory • Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks • Solid foundation in distributed system design, including state management, retries, error handling, and resilience • Experience with business process automation or workflow automation in real-world environments • Comfortable working with SQL/NoSQL databases, including data modeling and validation • Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP) • Understanding of security concepts including authentication (OAuth2), authorization, and secure API integration • Exposure to multi-agent patterns (e.g., supervisor-worker, planner-executor, judge-critic) is a strong plus • Advanced English Level

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options