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Senior AI Engineer

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Posted yesterday

About the role

Senior AI Engineer – Agentic AI & Generative AI

Experience: 6+ Years
Location: Bangalore
Work Mode: Work from Office

About the Role

Bluetick Consultants is looking for a Senior AI Engineer to build production-ready GenAI, RAG, and Agentic AI solutions across GCP and Azure. The role combines hands-on development, solution design, cloud deployment, and technical mentoring.

What You’ll Do

  • Build RAG, autonomous-agent, and multi-agent solutions using LangGraph, LangChain, MCP and prompt engineering.
  • Develop enterprise AI workflows with n8n, Python Code Nodes, APIs, databases, and external systems.
  • Work with Gemini and Vertex AI, including Agent Builder, Model Garden, and Vertex AI Search & Conversation.
  • Perform data cleansing, chunking, embeddings, vector search, and CDC-based real-time data synchronization.
  • Develop and deploy AI services using Python, FastAPI, Docker, and Kubernetes/GKE.
  • Fine-tune LLMs/SLMs such as Gemma using PEFT, LoRA/QLoRA.
  • Evaluate models for quality, performance, latency, and cost.
  • Build AI interfaces using Gradio/Streamlit.
  • Support CI/CD, MLOps/LLMOps, monitoring, and production deployments.
  • Collaborate with engineering and business teams and mentor junior AI/ML engineers.

Key Skills

  • 6+ years of relevant AI/ML Engineering experience.
  • Strong Python with PyTorch, TensorFlow, or Scikit-learn.
  • GCP & Azure experience with enterprise AI workloads.
  • Vertex AI, Gemini API, Vertex AI Pipelines, Gemini Code Assist.
  • LangGraph, LangChain, MCP, RAG, Agentic AI.
  • n8n, FastAPI, Docker, Kubernetes/GKE.
  • Azure DevOps, Argo Workflows, CI/CD, MLOps/LLMOps.
  • PEFT, LoRA/QLoRA, model evaluation and optimization.
  • Experience with APIs, databases, vector stores, and CDC.
  • Strong communication, problem-solving, and stakeholder management skills.

Preferred: Relevant AI/ML certifications and experience working on large-scale production AI solutions.

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