Senior Software Engineer - Conversational AI Platform at CALL BOX

Dallas, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

0.0

Posted On

12 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

TypeScript, Node.js, AWS, Infrastructure As Code, Postgres, Testing, Observability, Reliability, LLM Application Development, Real-Time Systems, Distributed Systems, Performance Optimization, Telephony Systems, Third-Party Integrations, AI Engineering, Systems Design

Industry

Software Development

Description

Description Call Box exists to grow people. We believe that everyone wants to become a better version of themselves, and we work hard to provide software and a culture that maximizes that growth mindset. We hire smart and ambitious doers in order to set them loose in an exciting and complex technology business where they will build, sell, and deploy Artificial Intelligence solutions that help our clients grow their bottom line. We are building a high-performance, AI-native engineering organization. We have a small team with high output and autonomous execution. This individual contributor role involves shipping and owning your product. You will design features, write production code daily, and solve hard problems in real-time AI systems. With high autonomy you can have high impact. We are building a conversational voice AI system for the automotive industry. The product processes real-time voice AI calls at scale, serving thousands of dealership customers. The technical challenges include latency, complex state management, AI engineering, and zero tolerance for failure on live customer calls. What You'll Do: Build Own your design, implementation, deployments, and live-site health. Write code that integrates across the full conversational AI stack: speech-to-text, text-to-speech, Large Language Models (LLMs), and telephony systems. We optimize the audio pipeline to ensure delivery of high-quality results. Deliver real-time conversational voice AI, including low-latency infrastructure. You will deliver Infrastructure as Code (IaC) using AWS CDK for both containerized and serverless architectures. Deliver fault-tolerant and highly available telephony integrations featuring graceful degradation and comprehensive error handling. We are an AI-first engineering team. You are an expert in prompt design, context management, and optimization across LLM providers. Our team moves quickly and confidently by investing in code quality, automated tests, and contributing high-value code review feedback. We obsess over customers with operational excellence, delivering solutions with observability infrastructure. We measure what we ship with SLIs, SLOs, high signal-to-noise structured logs, monitoring, and alarming. We own our outcomes. Lead Actively contribute to the team’s systems design. We value elegance in simplicity and embrace complex technical decisions. Drive critical technical decisions that affect broad areas of the platform. Establish and enforce engineering standards, best practices, and architecture patterns. Lead initiatives for the team that improve engineering productivity, quality, and scalability. Design and implement scalable systems spanning both modern and legacy systems. Proactively identify and solve technical problems. Build maintainable, scalable, and business-aligned systems. Translate complex business needs into robust technical strategies. Apply a “first—team” mentality, meaning we win and lose as a team. Earn trust from others and keep it. Teach Champion knowledge sharing via documentation, talks, and pairing sessions. Provide insightful code reviews that raise team quality. Invest in the success of other team members. Help engineers of all levels build leadership and technical skills. We value direct communication. No empty corporate-speak. Requirements Required: CS degree (or demonstrated equivalent depth in algorithms, systems design, distributed computing) 5+ years building and scaling production systems Expert-level TypeScript and Node.js experience Strong AWS experience (ECS, Lambda, RDS/ElastiCache, SQS, CloudWatch, networking, IAM) Infrastructure as code with CDK Production database experience (Postgres) Obsessive about testing, observability, and reliability Our Ideal Candidates: Thrive on feedback, coaching, and continuous professional development. Are self-motivated, adaptable, and take a curious, strategic approach to problem-solving. Have excellent communication skills and a customer-first mindset. Have experience with LLM application development (prompt engineering, context management, latency optimization) Have experience with Real-time systems (WebSockets, event-driven architectures) Have experience with high-throughput distributed systems and performance optimization under strict latency constraints Have experience with telephony/VoIP systems (SIP, RTP, audio codecs) Have experience with third-party integrations for dealership management systems (DMS), scheduling platforms, and CRMs What's in It for You? Competitive salary package (immediate PTO). Full benefits package. Fidelity 401k with company match. Fun perks including a monthly gym reimbursement, a monthly wellness reimbursement, and a monthly reading allowance. Opportunities for continued career growth within the organization. Fun and collaborative work environment.

Responsibilities

The Senior Software Engineer will design features, write production code, and solve complex problems in real-time AI systems. They will own their product, ensuring its design, implementation, and live-site health.