GenAI Fullstack Engineer

Role: GenAI Fullstack Engineer

Location: Palo Alto, CA 3 Days Onsite

Duration: 12+ Months

Experience Required:

Be passionate about building secure, scalable AI infrastructure that enables enterprises to safely harness the power of intelligent agents.

• BS/MS/PhD in Computer Science or related field with a strong foundation in systems, distributed computing, or security.
• Proficient in building applications across any with Python, React
• Experience building AI agents on Google ADK (preferred) or similar tools
• Demonstrate strong practical expertise in developing GenAI-based applications and deep understanding of Retrieval-Augmented Generation (RAG) systems.
• Experience building large-scale distributed systems especially those that process real-time data, enforce policies, or govern access at scale.
• Background in AI or agentic systems familiarity with frameworks like LangChain, AutoGen, or CrewAI, and a deep understanding of how agents orchestrate tools and APIs.
• Proficiency in cloud-native architectures including container orchestration (Kubernetes), microservices, and modern observability stacks.
• Knowledge of enterprise identity, access, and security systems e.g., Okta, Entra, OAuth, MDMs, EDRs, and data governance platforms.
• Experience with modern AI and LLM infrastructure including model gateways (like LiteLLM or MCP), fine-tuning, inference optimization, or policy enforcement in AI workloads.
• Strong programming skills in languages like Go, Python, or Java, and familiarity with designing APIs and distributed data pipelines.
• Interest in AI governance, risk, and compliance and curiosity about how to make AI agents safe, observable, and trustworthy in real-world enterprise environments.