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
Job ID: 523560081
Originally Posted on: 6/4/2026
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