Senior Software Engineer – Conversational AI Platform

This is a fully remote position, open to applicants in Texas.

📋 Description

• Design features, write production code on a daily basis, and tackle challenging issues in real-time AI systems.

• Take ownership of the design, implementation, deployment, and health of live sites.

• Develop and sustain a conversational voice AI system tailored for the automotive sector.

• Integrate speech-to-text, text-to-speech, large language models (LLMs), and telephony systems.

• Enhance real-time audio pipelines to achieve low latency and high-quality outputs.

• Manage observability through self-hosted LangFuse, CloudWatch dashboards and alerts, and LLM cost attribution.

• Build resilience by implementing circuit breakers, multi-provider LLM failover, and retry/backoff strategies.

• Design event-driven, cross-account AWS infrastructure utilizing EventBridge and SQS.

• Deliver infrastructure as code with AWS CDK across both containerized and serverless architectures.

• Oversee release engineering utilizing semantic-release, monorepo versioning, and cost-allocation tagging.

• Provide fault-tolerant, highly available telephony integrations with robust error handling.

• Incorporate AI coding agents into daily engineering routines.

• Contribute to systems design and influence critical technical decisions.

• Establish engineering standards, best practices, and architectural patterns.

• Lead initiatives that enhance engineering productivity, quality, and scalability.

• Design and implement scalable systems that bridge modern and legacy technologies.

• Proactively identify and resolve technical issues.

• Transform business requirements into effective technical strategies.

• Share knowledge through documentation, presentations, collaborative sessions, and insightful code reviews.

• Support engineers in developing leadership and technical competencies.

⛳️ Requirements

• Bachelor's degree in Computer Science or demonstrated equivalent expertise in algorithms, systems design, and distributed computing.

• Over 5 years of experience in building and scaling production systems.

• Expert-level proficiency in TypeScript and Node.js.

• Strong experience with AWS, including ECS, Lambda, EventBridge, RDS/ElastiCache, SQS, CloudWatch, networking, and IAM.

• Familiarity with infrastructure as code using CDK.

• Experience with CI/CD and release automation tools, such as semantic-release or similar.

• Production database experience with PostgreSQL.

• Proven experience in integrating third-party systems like dealership management platforms, scheduling tools, and CRMs, or similar enterprise API integration experience.

• Strong emphasis on testing, observability, and reliability.

• Experience in developing LLM applications, focusing on prompt engineering, context management, and latency optimization.

• Familiarity with real-time systems, including WebSockets and event-driven architectures.

• Experience with high-throughput distributed systems and performance optimization under stringent latency requirements.

• Knowledge of telephony/VoIP systems, including SIP, RTP, and audio codecs.

• Excellent communication skills with a customer-centric mindset.

• Self-motivated, adaptable, curious, and strategic in approach to problem-solving.

🏝️ Benefits

• Immediate paid time off (PTO).

• Comprehensive benefits package.

• Fidelity 401k plan with company matching.

• Monthly gym reimbursement.

• Monthly wellness reimbursement.

• Monthly reading allowance.

• Opportunities for ongoing career advancement within the organization.

• Enjoyable and collaborative work atmosphere.