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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** SIRIIKON INC. - **Location:** Columbus, OH, United States - **Experience:** Expert - **Salary:** $187,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, User Authentication, Continuous Integration, Information Engineering, Dependency Injection, Identity and Access Management, Interoperability, Python (Programming Language), PostgreSQL, MongoDB, OAuth, Performance Tuning, Redis, Azure Active Directory, Runbook, Single Sign-On, Workflow Management Systems, Data Logging, Okta, Large Language Models, Multi-Agent Systems, Backend, Fastapi, Containerization, Kubernetes, Data Analytics, Restful APIs, Dynatrace, Docker, Microservices - **Published:** August 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=04d85c743609a480 ## About the Role * Hands-on experience implementing MCP servers or clients, or driving A2A-based agent interoperability. * Familiarity with agent and LLM evaluation frameworks such as LangSmith or Ragas. * Proficiency with modern workflow orchestration platforms like Temporal, Prefect, Airflow, or Dagster. * Working knowledge of enterprise identity and access management solutions, including Okta, Microsoft Entra ID, SSO, SCIM, and OAuth 2.0. * Experience processing and ingesting documents at scale, encompassing OCR, unstructured text parsing, and multimodal inputs. * Demonstrated history of mentoring junior engineers or steering technical design for cross-functional delivery teams. Embark on a journey where your expertise fuels innovation! We are committed to fostering a vibrant environment that values your skills in AI development-empowering you to make a real difference through technology-driven solutions that shape the future of data analytics and artificial intelligence., * Bachelor's (Required) Experience: * AI: 5 years (Required) Language: * English (Required) ## Description You will develop multi-agent orchestration workflows, advanced retrieval-augmented generation (RAG) pipelines, and natural-language interfaces to enterprise data sources. Owning these systems through full deployment, monitoring, and ongoing optimization, you will collaborate closely with data engineering, security, and product teams to deliver AI capabilities meeting enterprise standards for reliability, security, observability, and cost efficiency., * Architect Agentic Systems: Design, develop, and deploy multi-agent workflows using Python, LangGraph, and LangChain, including tool routing and human-in-the-loop controls. * Optimize RAG Pipelines: Build end-to-end retrieval-augmented generation systems covering document ingestion, hybrid semantic retrieval, re-ranking, and access-control filtering. * Scale Backend Microservices: Construct robust, scalable services using FastAPI, incorporating RESTful design, Pydantic validation, dependency injection, and secure authentication. * Manage Data & Vector Stores: Provision and optimize PostgreSQL, vector databases, MongoDB, and Redis, handling schema migrations, connection pooling, and performance tuning. * Orchestrate Containerized Deployments: Containerize applications with Docker and manage high-availability deployments on Kubernetes, handling autoscaling, secrets, and rollouts. * Ensure Observability & Security: Implement LLM gateway routing, multi-provider failover, distributed tracing, structured logging, cost monitoring, and prompt-injection mitigations. * Drive Cross-Functional Delivery: Collaborate with product, security, and data engineering teams to translate requirements into technical designs, runbooks, and robust CI/CD practices. ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) - [Delay the AI Overlords: How OAuth and OpenFGA Can Keep Your AI Agents from Going Rogue](https://www.wearedevelopers.com/videos/1637-delay-the-ai-overlords-how-oauth-and-openfga-can-keep-your-ai-agents-from-going-rogue) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)