Job Description
Role•Gen AI Engineer Location•Phoenix, AZ /
NYC Duration:
12+ Months Tech Stack•AI / Agentic AI, LLM, RAG, FastAPI, Google Cloud Platform, Flask, Python, SQL, Docker & Kubernetes, Fast API 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
