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.