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Job Description: Technology & Innovation Stack
AI/Agentic Development: LLM-powered agents, orchestration platforms, sub-agent coordination, prompt engineering, AI observability/monitoring tools.
Languages: Python, C#, React, Lua, ASP.NET Core, SQL.
Databases: SQL Server, Redis, PostgreSQL, MySQL.
DevOps & Automation: GitHub/Bitbucket, CI/CD pipelines, Octopus Deploy, AI-in-the-loop testing & QA.
Collaboration & Tracking: JIRA, Confluence, AI-enhanced project analytics.
Key ResponsibilitiesAI-First Engineering
Orchestrate agents and sub-agents to deliver high-quality software with speed and precision.
Identify, build, and refine autonomous agents to accelerate stages of the SDLC (requirements, coding, testing, deployment, monitoring).
Collaborate with architects to design and evolve an AI-native software architecture.
Technical Execution
Deliver scalable, maintainable code while leveraging agents to maximize throughput and reliability.
Apply engineering best practices with AI-augmented development, ensuring solutions meet security, performance, and usability standards.
Drive innovation by experimenting with emerging AI tools, frameworks, and agentic orchestration models.
Collaboration & Leadership in Practice
Work closely with senior engineers, architects, and product leaders to align on technical priorities and execution.
Mentor peers and junior engineers on AI-first engineering practices.
Contribute to a culture of speed, accountability, and results-driven delivery.
Continuous Improvement
Establish feedback loops for agent effectiveness, optimizing accuracy, reliability, and speed of delivery.
Champion agile development practices enhanced by AI-driven automation and analysis.
Requirements
BS in Computer Science or related field, or equivalent professional experience.
5+ years of professional software engineering experience (SaaS, distributed systems, or AI-first development preferred).
Hands-on expertise in programming languages (Python, C#, or similar) and large-scale system design.
Experience with AI/ML models, agent frameworks, or intelligent automation.
Strong problem-solving and debugging skills with a bias toward fast, high-quality execution.
Passion for working in a fast-paced, innovative environment where results matter.