Need 15+ years of AI Engineer (Generative AI & Google Ecosystem)

Fremont, CA, US • Posted 7 hours ago • Updated 7 hours ago
Contract W2
Contract Independent
6 Months
Travel Required
On-site
$70 - $80/hr
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Fitment

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Job Details

Skills

  • Gen AI
  • Google Ecosystem
  • GCP

Summary

Job Title: AI Engineer (Generative AI & Google Ecosystem)
Location: SFO, CA OR Chicago, IL (2-3days Hybrid)
Note: Locals to CA OR IL only

Duration: 6months
About the Role
We are seeking an innovative and product-driven AI Engineer to join our team and build the next generation of intelligent applications. In this role, you will leverage the power of Google s Gemini models and the broader Google Cloud ecosystem to solve complex problems and create user-centric AI features. You will also heavily utilize open-source frameworks, specifically LangChain and LangGraph, to design, orchestrate, and deploy robust, agentic AI workflows.
If you are passionate about Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and building scalable AI architectures, we want you on our team.
Key Responsibilities
  • Application Development: Design, build, and deploy generative AI applications powered by Google Gemini (Pro, Flash, and Ultra) and Vertex AI.
  • Orchestration & Workflow Design: Utilize LangChain to build complex prompt pipelines and RAG systems. Design and implement stateful, multi-agent workflows and cyclical AI processes using LangGraph.
  • Google Cloud Integration: Architect solutions utilizing the Google Cloud Platform (Google Cloud Platform) ecosystem, including Vertex AI Search and Conversation, BigQuery, Cloud Run, and Google Cloud Storage.
  • Data Pipeline & RAG Engineering: Ingest, process, and chunk diverse data formats. Implement robust vector search architectures using Google Vertex AI Vector Search or open-source vector databases (e.g., Chroma, Milvus).
  • Model Optimization: Employ advanced prompt engineering techniques, few-shot learning, and parameter-efficient fine-tuning (PEFT) to optimize Gemini's performance for specific industry use cases.
  • Evaluation & MLOps: Establish rigorous evaluation metrics for LLM outputs (accuracy, latency, hallucination rates). Deploy models using modern LLMOps practices to ensure observability, scalability, and security.
  • Collaboration: Work closely with product managers, data engineers, and front-end developers to seamlessly integrate AI features into our core products.
Required Qualifications
  • Education: Bachelor s or Master s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field (or equivalent practical experience).
  • Programming: High proficiency in Python, with a strong grasp of software engineering principles, API development (FastAPI/Flask), and asynchronous programming.
  • AI/LLM Experience: Hands-on experience working directly with LLM APIs (Google Gemini preferred, OpenAI/Anthropic acceptable).
  • Frameworks: Deep understanding of and practical experience with LangChain and LangGraph for building complex LLM applications and autonomous agents.
  • Cloud Infrastructure: Proven experience with Google Cloud Platform (Google Cloud Platform), particularly Vertex AI, IAM, and serverless compute functions.
  • Data & Databases: Experience working with Vector Databases (e.g., Pinecone, Weaviate, Qdrant) and foundational SQL/NoSQL databases.
  • Problem Solving: Strong analytical skills and the ability to debug complex, non-deterministic AI pipelines.
Nice to Have
  • Google Cloud Professional Machine Learning Engineer or Professional Cloud Architect certification.
  • Familiarity with other open-source AI frameworks like LlamaIndex or Hugging Face.
  • Experience with front-end technologies (React, TypeScript) to rapidly prototype AI-driven user interfaces.
  • Experience building and deploying multimodal AI applications (handling text, image, and audio inputs).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91172751
  • Position Id: 9017372
  • Posted 7 hours ago

Company Info

About SnapCode Inc

Snapcode Inc., a US-based IT staffing firm, provides specialized technology professionals to businesses seeking their expertise. The company’s mission is to connect talented individuals in the IT sector with organizations that are striving to achieve their business objectives.

Core Services
Snapcode Inc provides a range of staffing solutions tailored to the diverse needs of its clients:
•    Contract Staffing: Temporary placements to fill short-term roles for project-specific needs.
•    Permanent Staffing: Recruitment of candidates for full-time positions within organizations.
•    Managed Services: Comprehensive IT solutions, including team management and project execution.
•    Executive Search: Services to identify and place top-level IT executives in leadership roles.

Industries Served
Snapcode Inc specializes in staffing for multiple industries:
•    Information Technology
•    Financial Services
•    Healthcare
•    Retail and E-commerce
•    Telecommunications

Commitment to Excellence
Snapcode Inc. emphasizes a customer-centric approach, ensuring that both its clients and candidates derive personalized benefits from its solutions. The company employs stringent screening procedures and maintains a comprehensive network of highly skilled professionals, enabling it to meet the demands of rapidly changing technological landscapes.

Conclusion
Snapcode Inc. stands out in the competitive US IT staffing market due to its commitment to quality and its capacity to adapt to industry-specific challenges. By aligning expertise and innovation, the firm provides staffing solutions that enable organizations to flourish in the digital era.

Contact the job poster
Praveeth Chava

Praveeth Chava

Recruiter @ SnapCode Inc
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