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Posted 25 June, 2026

Generative AI Engineer

TalentBridge
Bengaluru, KA, IN Full Time
Reference: 8949c9977199300e

Job Description

Job Title; Senior / Principal Generative AI Engineer

Location: Bangalore

Experience: 5–10 Years

Employment Type: Full-Time



About the Role

:We are looking for a Senior / Principal Generative AI Engineer to design and scale enterprise-grade Agentic AI solutions. The role requires strong expertise in LLMs, RAG, AI Agents, Vector Databases, and Multimodal AI, along with hands-on experience building production-ready AI systems


.
Key Responsibilitie

  • s:Build Agentic AI applications using LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or Google A
  • DKDevelop scalable RAG solutions using Pinecone, Weaviate, FAISS, or OpenSear
  • chCreate AI agents with reasoning, planning, and tool orchestration capabiliti
  • esIntegrate models like GPT, Claude, Gemini, Llama, and Mistr
  • alDevelop APIs and microservices for AI applicatio
  • nsImplement embeddings, prompt optimization, and evaluation framewor
  • ksBuild multimodal workflows (text, image, video, audi
  • o)Deploy solutions on AWS, Azure, or G
  • CPCollaborate with cross-functional teams and mentor junior enginee


rs
Required Skil

  • ls:LLMs, Prompt Engineering, Fine-Tuning (LoRA), Embeddings, Model Evaluat
  • ionLangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Google
  • ADKRAG, Pinecone, Weaviate, FAISS, OpenSea
  • rchPython, FastAPI, REST APIs, Microservices,
  • GitAWS / Azure / GCP, Docker, Kubernetes, CI
  • /CDExperience with tools like Stable Diffusion, Runway ML, Midjourney, Sora, Veo, or simi


lar
Experience Requi

  • red:5–10 years in software engineering / AI
  • / ML2+ years in Generativ
  • e AIExperience building production-grade GenAI and RAG sys
  • temsExposure to Agentic AI and cloud-native deploym


ents
Preferred Backgr

  • ound:Experience in AI product engineering or consu
  • ltingUnderstanding of content generation, media workflows, or multimodal use
  • casesKnowledge of AI safety, governance, and hallucination mitig


ation

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