Java Backend with AI Agent Development

Location: Moutainview, CA (hybrid 3 days work from office) Role Overview We are looking for a hands-on Forward Deployed AI Engineer who can work with business, product, engineering, and client teams to build and deploy AI/GenAI solutions for real business use cases. This role needs someone who is strong in AI/GenAI development, backend engineering, cloud, problem-solving, and stakeholder communication. The candidate should be able to understand business problems, build AI prototypes, integrate LLMs with enterprise systems, and take solutions from proof-of-concept to production. The person should be both technical and client-facing, meaning they should be comfortable coding as well as discussing solutions, risks, progress, and outcomes with stakeholders. Key Responsibilities • Build and deploy AI/GenAI applications using LLMs, APIs, RAG, agents, embeddings, and enterprise data. • Create prototypes, proof-of-concepts, and production-ready AI solutions. • Integrate AI models with backend systems, internal tools, workflows, and applications. • Work directly with product owners, business teams, engineering teams, and client stakeholders to understand requirements. • Convert business problems into technical AI solutions. • Lead demos, solution discussions, status updates, and technical walkthroughs. • Write clean, maintainable, production-quality code. • Participate in design reviews, code reviews, debugging, and production issue resolution. • Ensure AI solutions are secure, scalable, reliable, and properly monitored. • Work with DevOps/MLOps/platform teams for deployment, CI/CD, monitoring, and release support. • Partner with AI/ML teams, backend engineers, data teams, QA, product teams, and business users. • Document solution design, workflows, assumptions, risks, and support handoff details. Must-Have Skills • Hands-on experience building AI/GenAI applications. • Experience with LLMs, prompt engineering, RAG, agents, embeddings, or vector databases. • Strong programming experience in Python and/or Java. • Backend development experience with APIs, microservices, integrations, and enterprise systems. • Cloud experience, preferably AWS. • Ability to understand business problems and design technical AI solutions. • Strong communication and stakeholder management skills. • Comfortable working in fast-paced and ambiguous environments. • Strong ownership, problem-solving, and hands-on delivery mindset. Nice-to-Have Skills • Experience with AWS Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway, EC2, MSK/Kafka. • Experience with LangChain, LlamaIndex, OpenAI APIs, Claude, Gemini, Hugging Face, or similar AI tools. • Experience with vector databases such as Pinecone, FAISS, Weaviate, Chroma, Milvus, or OpenSearch. • Experience with MLOps, model evaluation, monitoring, guardrails, and responsible AI. • Domain experience in fintech, tax, accounting, payments, small business, CRM, sales, or financial platforms. • Prior experience as a Forward Deployed Engineer, AI Engineer, Applied AI Engineer, AI Solutions Engineer, or AI Product Engineer. Preferred Experience • 5+ years of software engineering experience, with recent hands-on AI/GenAI project experience. • Experience taking applications from concept to production. • Experience working with distributed teams and cross-functional stakeholders. • Exposure to CI/CD, automated testing, observability, monitoring, and cloud-native development. • Ability to work with senior stakeholders, product teams, managers, directors, and engineering leadership.