Senior Software Engineer (AI Tooling)

• Responsible for designing and implementing secure, reliable AI-powered tools and platforms—using technologies such as large language models and retrieval-augmented generation—and integrating them into core engineering workflows to improve quality, performance, and operational oversight
• AI Leadership: Architect and guide implementation of AI tooling and pipelines using LLMs, RAG, and MCP, including retrieval design, model orchestration, safety guardrails, and backend integrations
• Establish standards for data validation, analysis, and anomaly detection; implement automated quality gates to safeguard log and telemetry integrity at scale
• Define coding and documentation standards for Python-based services and AI-assisted development; conduct code and design reviews to uphold engineering rigor
• Develop performance testing and monitoring strategies; instrument metrics and health endpoints to drive continuous optimization
• Technical Delivery: Create and maintain software solutions within the team’s domain; own epics and tasks and delegate work as needed to ensure timely delivery
• Mentoring and Coaching: Lead onboarding and accelerate ramp-up through structured curricula, shadowing, and clear success metrics
• Provide educational code/design reviews and formal training; serve as a Subject Matter Expert to unblock teams, elevate standards, and develop future senior engineers
• People Collaboration: Orchestrate cross-functional alignment with system architects, platform, UI, product, data, and QA to deliver core OS features and high-impact platform improvements on schedule
• Lead incident triage and root-cause analysis across logging, telemetry, and developer tooling, including AI-assisted workflows with RAG insights and MCP integrations; optimize pipelines for reliability, latency, and cost
• Business Leadership: Translate company strategy into an engineering roadmap with clear priorities, success metrics, and delivery commitments; make disciplined trade-offs to maximize customer impact, reliability, and cost efficiency
• Align stakeholders on objectives and risks; communicate rationale and expected outcomes; adjust plans based on data and changing business needs

Benefits

• Medical, wellness and financial benefits
• Free snacks and access to the company fitness center
• Unlimited paid time off policy
• Work from home opportunities

• 2 years experience in position, as a Software Engineer, or related occupation
• Bachelor’s degree or foreign equivalent in Computer Science or related field
• System design, tradeoff analysis, architectural patterns, and code reviews
• Optimize performance through latency/throughput tuning, async/concurrency patterns, profiling, and device–cloud considerations
• Develop and evaluate prompts and systems with grounding, citation, hallucination mitigation, red-teaming, and A/B experimentation
• Up to one day per week telecommuting may be permitted
• Design and deliver user interfaces that prioritize clarity, discoverability, minimal friction, and consistent interaction patterns across surfaces
• Must have at least 1 year of prior work experience in each of the following:
• Python services, Linux, cloud-native stacks, concurrency/async I/O, and modern networking for AI workloads
• Build and integrate AI tooling using Agents, Model Context Protocol (or equivalents) with adapters, authentication, auditing, and lifecycle management