[Remote] Mid-Level AI Full Stack Developer

Note: The job is a remote job and is open to candidates in USA. Apt is a technology company focused on developing AI solutions. They are seeking a Mid-Level AI Full Stack Developer to own the architecture for AI products, lead technical strategy, and mentor team members while collaborating with various stakeholders on AI initiatives. Responsibilities Own the end-to-end architecture for AI products and platforms:Model selection strategy (Google vs. OpenAI, small vs. large models)+ Multi-agent and workflow orchestration patterns (responder/thinker pattern, tool calling, agentic frameworks)+ Data and retrieval architecture (RAG, hybrid search, knowledge graphs, semantic caching)* Evaluate and introduce emerging technologies such as:Next-generation LLMs and multimodal models+ Real-time streaming infrastructures+ Advanced agent frameworks, workflow engines (e.g., Agents SDK, Google ADK, LangGraph, etc.)Design and lead the implementation of shared AI services and SDKs:Reusable RAG pipelines and ingestion frameworks+ Common UI components and design patterns for AI copilots and agents+ Modular reusable coding practices for agentic back-end processes* Establish standards and best practices for:Prompt design and versioning+ Model and retrieval evaluation+ Observability, logging, and incident response for AI systemsProvide hands-on technical leadership to AI Engineers, ML Engineers, and Data Scientists:Guide architectural decisions and code quality+ Conduct thorough design and code reviews+ Mentor team members in LLMs, RAG, agentic design, and production AI practices* Help define and grow the AI engineering culture, focusing on innovation, quality, and responsible AIPartner closely with Product, Design, and Business stakeholders to:Identify high-value AI use cases aligned with company strategy and PropTech domain needs+ Shape product roadmaps and define measurable success criteria for AI initiatives* Lead complex, cross-functional AI projects from concept to production, ensuring:Clear requirement definitions and project plans+ On-time delivery with high quality and reliability+ Ongoing iteration based on user feedback and metricsDefine robust evaluation frameworks:Offline and online metrics for relevance, safety, user satisfaction, and business impact+ Human evaluation workflows for complex or sensitive tasks* Drive AI governance and responsible AI practices:Content safety, bias and fairness considerations, PII handling+ Compliance with internal policies and external regulations (e.g., GDPR-like requirements, data residency)* Collaborate with security, privacy, and legal teams to ensure compliant AI solutionsLead performance and cost optimization for AI systems:Model routing, distillation, and caching strategies+ Right-sizing infrastructure and making build-vs-buy decisions+ SLAs/SLOs for key AI services, including latency, uptime, and error budgets.* Proactively identify and mitigate technical risks related to scalability, data quality, or vendor lock-in Skills Typically 5+ years of experience in Software Engineering, ML Engineering, or Data Science, with 1+ years hands-on in Applied AI/LLMsDeep expertise in Python and TypeScript/JavaScript in production environmentsDesigning and operating distributed, cloud-native systems (GCP, Azure, or AWS)Containerization and orchestration (Docker, Kubernetes) and modern CI/CDProven track record of architecting and shipping complex AI systems to production at scaleLeading multi-engineer initiatives and mentoring othersMaking data-driven tradeoffs between speed, quality, and costAdvanced experience with LLM-based application design (prompting, tool use, function calling, multi-agent workflows)RAG architectures, vector databases, and retrieval optimization techniquesAI observability, monitoring, and evaluation frameworksExcellent communication and stakeholder management skillsAbility to communicate complex AI concepts to executives and non-technical partnersComfortable representing AI strategy and progress to leadership and cross-functional teamsExperience with working with coding assistants like Windsurf, Cursor, Codex, etcMultimodal and real-time agents (voice + text + UI control, streaming interactions)Background in AI experiment tracking and evaluation frameworks (e.g., OpenAI Evals, Langsmith Evals, etc.)Data platforms (data lakes/warehouses, feature stores, event streams like Kafka)Browser automation software such as PlayWrightDesigning AI products in domains with strong regulatory or privacy constraintsExperience building organizational AI strategies, setting standards, and helping define AI hiring and capability roadmaps Company Overview Apt, a part of Spectrum Talent Management Group, is an IT staffing and solutions firm that helps teams move faster with the right talent and delivery support. It was founded in 2019, and is headquartered in Birmingham, Alabama, US, with a workforce of 201-500 employees. Its website is http://aptcompanies.io.