Forward Deployed AI Engineer

Forward Deployed AI Engineer

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.