Java Backend with AI agent development

Vidorra Consulting Group; Mountain View (CA); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Vidorra Consulting Group is seeking a hands-on Forward Deployed AI Engineer to design and deploy AI/GenAI solutions for real business use cases in Mountain View. You will prototype, productionize, and integrate AI models with enterprise systems while working closely with product, business, engineering, and client teams.

The role requires strong Python/Java skills, backend API experience, and AWS cloud familiarity, with a focus on translating business problems into scalable AI solutions and

Qualifications

• Hands-on experience building AI/GenAI applications.
• Experience with LLMs, prompt engineering, RAG, and embeddings.
• Strong Python and/or Java programming.
• Backend API, microservices, and enterprise system integrations.
• Cloud experience, preferably AWS.
• Ability to translate business problems into technical AI solutions.
• Excellent communication and stakeholder management.

Responsibilities

• Build and deploy AI/GenAI applications using LLMs and embeddings.
• Create prototypes, proof-of-concepts, and production-ready AI solutions.
• Integrate AI models with backend systems and tools.
• Collaborate with product, business, engineering, and client teams to gather requirements.
• Translate business problems into technical AI solutions.
• Lead demos, solution discussions, status updates, and technical walkthroughs.
• Write clean, maintainable production-grade code.
• Ensure AI solutions are secure, scalable, reliable, and properly monitored.

Skills

AI/GenAI development

LLMs & prompts

Python/Java

Backend APIs & microservices

AWS Cloud

Stakeholder communication

Problem-solving

Job description

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.