<p><p><b>We are Hiring : </b> PX-Gen AI : </b> 8+ Years (5+ in Gen : </b> Bangalore (Hybrid)</p><br/>Explore AgenticAI for efficiency</p><p><br/></p><p>We are looking for a highly skilled Generative AI Engineer with 8-10 years of industry experience in machine learning, large language models (LLMs), and production-grade AI solutions.
The ideal candidate will have expertise in fine-tuning and deploying LLMs, building scalable GenAI applications on cloud platforms, and developing intelligent systems using Agentic AI, NLP, and advanced AI Skills</b></p><p><br/></p><p>- Programming : Python (advanced proficiency)</p><p><br/></p><p>- Generative AI Frameworks : LangChain, LangGraph, DSPy</p><p><br/></p><p>- Machine Learning & Deep Learning : PyTorch, NLP (SpaCy, Transformers, Embeddings)</p><p><br/></p><p>- Cloud Platforms : AWS (preferred), Azure</p><p><br/></p><p>- Frameworks : Flask, FastAPI (for RESTful API development)</p><p><br/></p><p>- AI Tools : LLM Evaluation techniques, Prompt Engineering</p><p><br/></p><p>- Others : Docker, CI/CD pipelines, API development & Responsibilities : </b></p><p><br/></p><p>- Fine-tune large language models (LLMs) for domain-specific applications.</p><p><br/></p><p>- Optimize models for efficiency, latency, and scalability.</p><p><br/></p><p>- Deploy models on AWS Sagemaker, Bedrock, or Azure AI services.</p><p><br/></p><p>- Architect and implement GenAI-driven applications for enterprise use cases.</p><p><br/></p><p>- Explore Agentic AI frameworks to build autonomous, task-driven agents.</p><p><br/></p><p>- Integrate GenAI with search, recommendation, and knowledge retrieval systems.</p><p><br/></p><p>- Design and build REST APIs using Flask / FastAPI for model serving.</p><p><br/></p><p>- Ensure robust security, scalability, and monitoring for APIs.</p><p><br/></p><p>- Integrate LLMs into existing enterprise Language Processing & Search : </b></p><p><br/></p><p>- Develop NLP pipelines including text classification, entity recognition, embeddings, and semantic search.</p><p><br/></p><p>- Implement vector search solutions using FAISS / Pinecone / Weaviate.</p><p><br/></p><p>- Build and manage cloud-native AI systems using AWS / Azure AI services.</p><p><br/></p><p>- Containerize applications with Docker and orchestrate deployments.</p><p><br/></p><p>- Collaborate with DevOps teams to ensure CI/CD and production readiness.</p><p><br/></p><p>- Stay updated with the latest Generative AI, LLMs, and Agentic AI research.</p><p><br/></p><p>- Conduct experiments and benchmark models using LLM evaluation frameworks.</p><p><br/></p><p>- Contribute to innovation in AI-driven automation, copilots, and digital assistants.</p><p><br/></p><p>- Experience with RAG (Retrieval-Augmented Generation) pipelines.</p><p><br/></p><p>- Exposure to multi-modal AI (text, image, speech, video).</p><p><br/></p><p>- Strong understanding of MLOps practices.</p><p><br/></p><p>- Prior experience in scaling enterprise-grade AI/ML systems.</p><p><br/></p><p>- Contributions to open-source AI/ML projects (nice to have).</p><p><b><br/></b></p><p><b>Soft Skills : </b></p><p><br/></p><p>- Strong problem-solving and analytical abilities.</p><p><br/></p><p>- Excellent communication and collaboration with cross-functional teams.</p><p><br/></p><p>- Ability to translate business problems into AI-driven solutions.</p><p><br/></p><p>- Self-motivated with a passion for innovation in Generative AI & LLMs.</p><br/></p> (ref:hirist.tech)