AI Engineer (LLM Engineer | Analytics Dashboards | Chatbot Integration)

Company: Nimble Vision
Apply for the AI Engineer (LLM Engineer | Analytics Dashboards | Chatbot Integration)
Location: Bengaluru
Job Description:

Are you passionate about building AI systems that actually ship to production? Nimble Vision is looking for an experienced AI Engineer with 3–5 years to join our growing team in Bangalore and work across the full spectrum of applied AI — from fine-tuning language models to building intelligent dashboards and chatbot integrations.

At Nimble Vision, we are on a mission to build full-stack AI for India — and we need builders who can turn cutting-edge research into real-world impact.

LLM Customization

  • Fine-tune and customize Meta LLaMA, Google Gemini, and Sarvam models for domain-specific use cases
  • Design prompt engineering strategies and evaluation frameworks (RAGAS, LLM-as-judge)
  • Optimize models for production: quantization, distillation, and latency reduction
  • Benchmark and compare performance across Meta, Gemini, and Sarvam model families

Analytics Dashboards

  • Build AI-powered dashboards surfacing insights from structured and unstructured data
  • Integrate LLM-generated summaries and anomaly detection into BI tools
  • Develop backend APIs (FastAPI/Flask) to serve model outputs to dashboard consumers
  • Work with data pipelines using dbt, Airflow, BigQuery, or Snowflake

Chatbot Integration

  • Architect and deploy conversational AI systems powered by Meta, Gemini, and Sarvam LLMs
  • Build multi-turn dialogue management using LangChain, LlamaIndex, or similar frameworks
  • Integrate chatbots with CRMs, ticketing systems, and enterprise APIs
  • Implement guardrails, fallbacks, and feedback loops for production reliability

✅ What We’re Looking For

  • 3–5 years of hands-on AI/ML or software engineering experience with an AI focus
  • Proven hands-on experience with Meta LLaMA (fine-tuning, inference, deployment)
  • Working knowledge of Google Gemini APIs and multimodal capabilities
  • Familiarity with Sarvam AI models and Indic language AI ecosystems
  • Strong Python skills and comfort with PyTorch, Hugging Face, and cloud platforms (AWS/GCP/Azure)
  • Experience in Integrating Proprietary tools and open source

Posted: March 25th, 2026