> Markdown version of [/jobs/ext/3023424-senior-ai-solutions-developer](https://www.wearedevelopers.com/jobs/ext/3023424-senior-ai-solutions-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Solutions Developer - **Company:** Omiz Staffing Solutions LLC - **Location:** Secaucus, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Performance Management, User Authentication, Microsoft Azure, Databases, Continuous Integration, Data Security, DevOps, Python (Programming Language), Search Technologies, Software Engineering, SQL Databases, Unstructured Data, Enterprise Software Applications, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Grafana, Multi-Agent Systems, Generative AI, Git, Kubernetes, Enterprise Integration, Virtual Agents, Restful APIs, Automation Anywhere - **Published:** September 21, 2026 - **Apply:** https://www.disabledperson.com/jobs/75352642-senior-ai-solutions-developer ## About the Role * 5-8 years of professional software engineering experience. * Strong hands-on experience with Python and software development. * Demonstrated experience building AI/LLM-powered applications in enterprise or production environments. * Experience developing AI assistants, agents, agentic workflows, or LLM applications. * Hands-on experience with MCP/FastMCP or similar tool-integration technologies. * Experience with LangGraph or comparable AI/agent orchestration frameworks. * Strong understanding of APIs, SQL, databases, and enterprise system integration. * Experience implementing RAG solutions using structured and/or unstructured data. * Experience with LLM evaluation, monitoring, tracing, or observability tools such as LangSmith, W&B, OpenTelemetry, or similar. * Understanding of authentication, authorization, secure data access, and enterprise security practices. * Strong understanding of AI governance, responsible AI, privacy, security, and Human-in-the-Loop concepts. * Excellent communication and stakeholder-management skills. * Ability to work directly with customers/business stakeholders in a forward-deployed engineering capacity., * Experience working with major LLM platforms and APIs such as OpenAI, Azure OpenAI, Anthropic, or similar. * Experience with vector databases, embeddings, semantic search, and retrieval pipelines. * Experience deploying AI applications in cloud environments such as Azure, AWS, or GCP. * Familiarity with CI/CD, Git, containers, and modern DevOps practices. * Experience building enterprise-grade AI solutions with strong emphasis on security, scalability, reliability, and governance. * Experience working in consulting, professional services, or customer-facing engineering environments. ## Description Seeking an experienced AI/LLM Software Engineer to design, develop, and deploy enterprise-grade AI applications, assistants, agents, and intelligent workflows. The ideal candidate will have strong hands-on Python and software engineering experience combined with practical expertise in LLMs, RAG, agentic AI, orchestration frameworks, tool integration, and AI observability., * Design and develop enterprise AI/LLM applications, assistants, agents, and intelligent workflows. * Build scalable and production-ready solutions using Python and modern software engineering practices. * Develop agentic AI workflows using frameworks such as LangGraph or similar orchestration technologies. * Implement tool integrations using MCP/FastMCP or comparable protocols and frameworks. * Build and integrate REST APIs, enterprise systems, databases, and SQL-based solutions. * Develop RAG (Retrieval-Augmented Generation) solutions using structured and unstructured data sources. * Design secure data-access patterns incorporating authentication, authorization, and enterprise security requirements. * Implement AI evaluation, monitoring, tracing, and observability using tools such as LangSmith, Weights & Biases (W&B), OpenTelemetry, or similar platforms. * Establish mechanisms to evaluate LLM accuracy, reliability, latency, cost, and overall application performance. * Incorporate Human-in-the-Loop (HITL) processes into AI workflows where appropriate. * Apply principles of AI governance, responsible AI, privacy, security, and compliance throughout the development lifecycle. * Collaborate directly with business stakeholders, product teams, architects, and engineering teams to identify opportunities and deliver AI solutions. * Act as a forward-deployed engineer, working closely with stakeholders to understand problems, prototype solutions, gather feedback, and rapidly iterate. * Troubleshoot, optimize, and continuously improve AI applications in production environments. * Contribute to technical documentation, architecture decisions, development standards, and best practices. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn)