<h3>Job Description</h3><div>Job Description<div><p>The <i><b><strong>Senior AI Developer/Full Stack </strong></b></i>is a hands-on role within the SalesSuperStar AI team, focused on building the core systems that power our AI-driven Custom Agent and integrated Light CRM platform. This role is critical to the development of a fast-moving, mission-critical MVP, ensuring that frontend, backend, integrations, and platform workflows come together in a scalable, reliable, and production-ready environment.</p><p>Overview</p><p>We are building a production AI outbound sales platform that combines a real-time AI Custom Voice Agent with an integrated Light CRM and operator platform. This is a hands-on senior role for someone who can design, build, and productionize AI systems while also contributing across the full stack.</p><p>The role spans real-time voice workflows, LLM serving, RAG, evaluation, fine-tuning, backend services, and the frontend tools needed to operate and monitor the platform. The environment includes FastAPI, Python, React, TypeScript, PostgreSQL, Redis, Kafka, Twilio-based telephony, local model serving, and AI evaluation tooling.</p><p><i><b><strong>Position Summary</strong></b></i></p><p>We are looking for a senior developer with strong AI engineering depth and solid full-stack capability. You will help build and improve a real-time AI voice system covering telephony, STT, TTS, LLM inference, retrieval, prompt orchestration, evaluation, and production deployment, while also supporting the surrounding SaaS platform.</p><p>This role goes well beyond simple API integration. You will work across a high-concurrency production architecture that combines CRM integration and the AI Custom Agent, including FastAPI, Python, React, PostgreSQL, Redis, Kafka, telephony, voice AI, vector retrieval, and observability. The right person can translate AI concepts into reliable, measurable business systems.</p><p><i><b><strong>Key Responsibilities</strong></b></i></p><p><i><b><strong>AI Agent Development</strong></b></i></p><ul><li>Design, build, and improve the core AI Custom Agent used in a live outbound sales environment.</li><li>Develop and optimize prompt orchestration, context management, memory handling, tool calling, and agent workflows.</li><li>Build and maintain RAG pipelines using modern retrieval frameworks, vector databases, embeddings, and conversation state persistence.</li><li>Improve agent quality through structured evaluation, benchmark testing, error analysis, and systematic iteration.</li><li>Work on voice AI workflows spanning telephony, audio streaming, STT, TTS, turn-taking, and response generation.</li></ul><p><i><b><strong>LLM Inference, Fine-Tuning, and Optimization</strong></b></i></p><ul><li>Deploy, run, and optimize open-weight models in production using inference frameworks such as vLLM.</li><li>Work directly on throughput, concurrency, latency, and time-to-first-token optimization for real-time AI workloads.</li><li>Build and maintain fine-tuning workflows using LoRA or QLoRA and the Hugging Face ecosystem.</li><li>Support training, evaluation, quantization, checkpoint management, and deployment workflows for domain-specific model improvements.</li><li>Help determine when prompting, RAG, fine-tuning, or workflow design is the right solution to a given business problem.</li></ul><p><i><b><strong>Backend and Platform Engineering</strong></b></i></p><ul><li>Build and maintain backend services in Python and FastAPI that power the AI management layer, orchestration logic, APIs, and platform integrations.</li><li>Design clean internal and external APIs, webhooks, and service boundaries across CRM, telephony, AI, and automation layers.</li><li>Implement robust data models and backend workflows using PostgreSQL, Redis, Kafka, and related services.</li><li>Ensure fault tolerance, observability, and production reliability across distributed services and background processes.</li></ul><p><i><b><strong>Full Stack