Senior AI Engineer – RAG, LLMs
DaCodes.
AWSCloudGraphQLJavaScriptPythonTypeScript
AI Engineer
Orion Innovation
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇲🇽 Mexico
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformKafkaKubernetesNoSQLPythonReactSQL
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonFastAPIREST APIsLangChainLangGraphCrewAISQLNoSQLDockerKubernetes
Soft skills
collaborationleadershipcommunicationproblem-solvingdocumentation