Engineer Jobs

About The Position

Requirements

• Strong proficiency in programming languages such as Python, Go, Node.js, TypeScript, JavaScript, or Java
• Strong Cloud Platform Experience (AWS & ROSA): Working experience with AWS services and Red Hat OpenShift Service on AWS (ROSA), including deploying and operating applications in these environments
• Strong hands-on experience with AWS services including Lambda, S3, API Gateway, DynamoDB, RDS
• Strong proficiency in Infrastructure as Code such as Terraform
• Strong proficiency in using AI assisted tooling such as Copilot Agent mode, Gemini, Claude
• Experience working with AI Agent & Core Services: Bedrock Agent, Agent Core
• Experience with the Model Context Protocol (MCP) or similar tool-use frameworks for LLMs
• Full Stack Development — hands-on experience building and delivering applications across the stack, including modern frontend frameworks (e.g., Angular, React, Vue.js etc) and backend services
• Solid understanding of modern software development workflows including CI/CD, version control (Git), and code review practices
• Strong proficiency with IDE ecosystems and developer tooling (e.g., VS Code extensions, CLI tools)
• Familiarity with monitoring and observability tools (CloudWatch, Dynatrace, AWS XRay)​​
• Strong problem-solving skills and ability to work independently as well as collaboratively
• Excellent written and verbal communication skills

Nice To Haves

• Hands-on experience building or customizing agentic AI workflows (e.g., multi-step autonomous agents, spec driven development, etc.)
• Familiarity with LangGraph, A2A, Retrieval-Augmented Generation (RAG), Prompt Engineering, and Chunking techniques.​

Responsibilities

• Design, build, and maintain AI-driven orchestration pipelines that coordinate LLMs, connectors
• Develop agentic and autonomous workflows using emerging AI capabilities (Copilot Studio, agentic orchestration patterns, MCP, A2A protocol) to enable self-directed task execution and multi-stop reasoning
• Implement Model Context Protocol integrations to unify model access to enterprise systems, ensuring secure, governed, and scalable interactions between AI agents and organizational data.
• Participate in code reviews and architectural discussions
• Self-Driven Learning & Execution — Ability to independently research, learn, and implement new technologies and approaches with minimal direction; comfortable operating in ambiguity and driving work forward

Benefits

• Compensation is based on a standard 38:45-hour work week
• Potential yearly incentive pay up to 15% of base salary
• Annual raise and bonus
• Robust health and wellbeing programs
• State Farm pays most of your healthcare premium
• Multiple healthcare plan options, including a high deductible plan
• 100% coverage for in-network preventative care
• Access to vision, dental, telemedicine, 24/7 mental health professionals
• Educational benefits like industry leading training programs
• Top-notch tuition assistance programs
• Employee resource groups
• Mentoring
• Fertility/IVF/adoption assistance
• College coaching
• National discount programs
• Interactive monthly financial workshops
• Free financial coaching
• State Farm Federal Credit Union
• Generous time off policies
• Opportunity to initially earn up to 20 days annually
• Parental leave
• Paid holidays
• Celebration day
• Life leave (40 hours/year)
• Bereavement leave
• Community service/education support days
• Matching Gift Program
• Good Neighbor Grant Program
• Employee Assistance Fund
• Free financial advisors
• 401(k) plan with company contributions of up to 7% of your salary