Join our dynamic team as a Software Engineer and lead the transformative adoption of advanced AI tools within our TechOps ecosystem. In this role, you will be at the forefront of integrating cutting-edge AI technologies, designing scalable AI architectures, and collaborating across teams to automate operational tasks and optimize workflows. If you are passionate about leveraging AI to drive efficiency, possess a strong technical foundation in programming and AI platforms, and thrive in a collaborative environment, we invite you to be a key contributor in shaping the future of our AI-enabled operations.

Responsibilities

Drive the adoption of advanced AI tools across TechOps-supported applications and facilitate their seamless integration into existing workflows.
Collaborate with cross-functional teams to develop autonomous AI agents to automate operational tasks and address technical debt.
Design and refine AI architectures utilizing MCP servers, LangChain Agents, APIs, and other relevant systems.
Promote rigorous code review processes to ensure high-quality development outcomes and technically sound solutions.
Document and disseminate AI integration best practices to empower teams across the organization with actionable guidelines.
Build scalable and reliable AI agents to streamline processes and enhance efficiency within application teams.
Work collaboratively with application teams to enable the adoption of agentic AI and ensure its successful implementation across diverse tech ecosystems.

Basic Qualifications

Technical Expertise: Proficient development experience in Python, Java, Node.js, and TypeScript; Design and integration expertise with APIs and webhooks.
Agentic AI Development: Hands-on experience with MCP servers, LangChain Agents, and agentic AI platforms like N8N and Flowise.
AI Tooling: Familiarity with advanced AI technologies and tools, including their adoption lifecycle and implementation challenges.
Collaborative Approach: Strong communication and teamwork skills, with a proven ability to foster innovation and shared expertise across teams.
Problem Solving: Ability to independently translate concepts and ideas into high-quality, scalable systems from inception to deployment.

Preferred Qualifications

Hands-on experience working with application teams to address tech debt using AI agents.
Experience with designing test cases, monitoring workflows, and debugging AI solutions in production environments.
Microsoft Teams Bot Development: Experience creating and provisioning Microsoft Teams Bot solutions in Azure is strongly preferred; ability to leverage bots within agentic AI workflows via N8N, APIs, and webhooks is a huge advantage.
Deep understanding of Azure cloud architecture and integrations with AI-enabled platforms.

Required Education

Bachelor's or Equivalent.

Benefits

401(k).
Dental Insurance.
Health insurance.
Vision insurance.
We are an equal opportunity employer and value diversity, equality, inclusion, and respect for people.
The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.

Additional Responsibilities

Participate in OP monthly team meetings, and participate in team-building efforts.
Contribute to OP technical discussions, peer reviews, etc.
Contribute content and collaborate via the OP-Wiki/Knowledge Base.
Provide status reports to OP Account Management as requested.

About Us

OP is a technology consulting and solutions company, offering advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields — including AI, cyber security, enterprise architecture, and beyond. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OP team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.

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