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Nexaminds

AI Engineer (GenAI – Vertex AI & GCP)

Reposted 14 Days Ago
Remote
Hiring Remotely in India
Junior
Remote
Hiring Remotely in India
Junior
Design, develop, and deploy Generative AI applications on GCP using Vertex AI. Build LLM-powered solutions (chatbots, summarization, document intelligence), implement RAG with vector databases and embeddings, manage token usage and prompt engineering, develop backend services/APIs, fine-tune models, and monitor and scale AI workloads while ensuring performance, reliability, and security.
The summary above was generated by AI

Unlock Your Future with Nexaminds!

At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth.

Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong.

Nexamind is looking for a motivated AI Engineer with hands-on experience in Generative AI solutions on Google Cloud Platform (GCP). The ideal candidate will have practical exposure to Vertex AI, LLM integrations, Vector Databases, embeddings, and token optimization, and will contribute to building scalable AI-powered applications.

Key Responsibilities

  • Design and develop Generative AI applications using Vertex AI on GCP.
  • Build and deploy LLM-powered use cases such as chatbots, summarization, and document intelligence.
  • Implement Retrieval-Augmented Generation (RAG) pipelines using Vector Databases and embeddings.
  • Manage token usage, prompt engineering, and context optimization for LLM applications.
  • Develop backend services and APIs to integrate AI capabilities into products.
  • Fine-tune and evaluate foundation models where required.
  • Monitor, optimize, and scale AI workloads on GCP.
  • Collaborate with data scientists, product teams, and DevOps for production deployment.
  • Ensure performance, reliability, and security of AI solutions.

Required Skills

  • 2+ years of hands-on experience in AI/GenAI development.
  • Strong experience with Google Cloud Platform (GCP) and Vertex AI.
  • Practical knowledge of LLM concepts, embeddings, tokens, and Vector Databases.
  • Experience building RAG-based or LLM-powered applications.
  • Proficiency in Python and backend development.
  • Experience with REST APIs and microservices.
  • Understanding of prompt engineering and LLM evaluation.
  • Familiarity with Git and CI/CD workflows.

Preferred Qualifications

  • Experience with Gemini or other modern LLMs.
  • Exposure to LangChain, LlamaIndex, or similar frameworks.
  • Knowledge of MLOps practices on GCP.
  • Experience deploying AI solutions in production environments.
  • Good communication and problem-solving skills.

What you can expect from us

Here at Nexaminds, we're not your typical workplace. We're all about creating a friendly and trusting environment where you can thrive. Why does this matter? Well, trust and openness lead to better quality, innovation, commitment to getting the job done, efficiency, and cost-effectiveness.

  • Stock options ๐Ÿ“ˆ
  • Remote work options ๐Ÿ 
  • Flexible working hours ๐Ÿ•œ
  • Benefits above the law
  • But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros.
  • You'll have access to mentorship and tons of opportunities to learn and level up.

Ready to embark on this journey with us? ๐Ÿš€๐ŸŽ‰ If you're feeling the excitement, go ahead and apply!

Top Skills

Ci/Cd
Embeddings
Git
Google Cloud Platform (Gcp)
Llms
Microservices
Prompt Engineering
Python
Rest Apis
Retrieval-Augmented Generation (Rag)
Token Optimization
Vector Databases
Vertex Ai

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