GenAI Engineer

Role – Gen AI Engineer Location – Phoenix, AZ / NYC Duration: 12+ Months Interview Mode – Video Interview Tech Stack – AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker & Kubernetes Responsibilities • Design, build and rollout scalable AI and Agentic systems that would result in operational efficiencies, superior customer experiences, and increased adherence to compliance practices • Develop intelligent, autonomous workflows that can reason over context, leverage enterprise data, invoke tools, and support decision-making for use cases identified • Design, build and rollout production-grade AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, ensuring high standards of accuracy, reliability, and auditability • Understand data, data products and build and operationalize large-scale data pipelines • Drive AI-enabled monitoring, quality assessment, and governance capabilities through automation and advanced analytics to improve operational efficiency and consistency • Own end-to-end technical delivery, from problem formulation and prototyping to production deployment, monitoring, and continuous optimization • Collaborate closely with product, engineering, and business stakeholders to translate complex business problems into impactful AI solutions • Ensure all AI systems adhere to enterprise standards for security, compliance, Explainability, and responsible AI practices • Provide technical support for the GenAI and Agentic AI tools and services Qualifications • 6+ years of experience in software engineering, machine learning or GenAI, with production-grade system development experience • Expertise in building GenAI, Agentic AI systems, including orchestration, tool usage, memory/state management, and evaluation frameworks • Experience implementing RAG architectures, vector databases, and LLM lifecycle management (prompt engineering, context engineering, fine-tuning, evaluation, monitoring) • Strong programming skills in Python and experience building Fast APIs, backend services and components, CI/CD and data pipelines • Experience working with modern AI frameworks like LangChain, LangGraph • Solid understanding of DB concepts, SQL, BigQuery and experience working in Relational and NoSQL DBs • Solid understanding of distributed systems, event-driven architectures, and large-scale data processing • Ability to understand and review code in various languages (Java, Go, Scala) • Strong analytical, logical reasoning, problem-solving skills with the ability to translate business needs into technical solutions • Ability to operate in a fast-paced, collaborative environment with a strong sense of ownership and accountability