Gen AI Engineer

**Job Description: Generative AI Engineer (35 Years Experience)** **Role Overview** We are seeking a Generative AI Engineer with 35 years of experience to design, develop, and deploy cutting-edge AI solutions powered by Large Language Models (LLMs) and multimodal systems. The ideal candidate will build scalable GenAI applications such as copilots, chatbots, and intelligent automation systems, leveraging modern frameworks and enterprise data. GenAI Engineers typically focus on building **LLM-powered applications, RAG pipelines, and AI agents**, ensuring scalability, reliability, and real-world usability. **Key Responsibilities** - Design, develop, and deploy **LLM-powered applications** (chatbots, copilots, document intelligence systems) - Build and optimize **Retrieval-Augmented Generation (RAG) pipelines** for enterprise knowledge use cases - Develop **AI agents and autonomous workflows** using modern frameworks - Perform **prompt engineering** and evaluation to improve output quality - Integrate GenAI models with enterprise systems, APIs, and data sources - Fine-tune or adapt foundation models (e.g., GPT, LLaMA, multimodal models, SLM's) - Build scalable pipelines covering **data ingestion, embeddings, retrieval, and generation** - Implement **LLMOps practices** (monitoring, evaluation, versioning, cost optimization) - Ensure security, governance, and responsible AI practices - Collaborate with product, data, and platform teams to deliver business solutions These responsibilities reflect real-world roles involving **RAG pipelines, agent workflows, and production-grade GenAI systems**. **Required Skills & Qualifications** **Education** - Bachelors or masters degree in computer science, AI, Data Science, or related field **Experience** - 35 years of experience in software/ML engineering - At least 12 years of hands-on experience in **Generative AI / LLM-based systems** **Technical Skills** - Strong programming skills in **Python** - Experience with **LLMs and GenAI frameworks** (OpenAI, Hugging Face, Anthropic, Google etc.) - Hands-on experience with: - **Prompt engineering** - **Embeddings & vector databases** (FAISS, Pinecone, Qdrant, etc.) - **RAG architecture** - Experience with frameworks like **LangChain, LlamaIndex, ADK, or similar** - Knowledge of **deep learning frameworks** (PyTorch, TensorFlow) - Experience with **API development and microservices** - Familiarity with **cloud platforms** (AWS, Azure, GCP) - Understanding of **MLOps / LLMOps** practices Modern GenAI roles emphasize **LLM integration, prompt workflows, and enterprise data pipelines**. **Preferred Skills (Good to Have)** - Experience with **agentic AI frameworks** (LangGraph, CrewAI, ADK, etc.) - Knowledge of **multimodal AI** (text, image) - Experience in **fine-tuning or adapting foundation models** - Familiarity with **knowledge graphs or semantic search systems** - Experience building **AI copilots or automation systems** - Exposure to **UI frameworks (Streamlit, Gradio) for GenAI apps** Many roles now include **agent-based systems and multimodal AI capabilities** as differentiators. **Soft Skills** - Strong analytical and problem-solving mindset - Ability to evaluate and improve AI outputs critically - Effective communication and collaboration - Adaptability in a rapidly evolving AI landscape - Ownership of end-to-end delivery **What We Offer** - Opportunity to work on cutting-edge **GenAI and LLM-based systems** - Exposure to **real-world enterprise AI deployments** - Collaborative, innovation-driven environment - Career growth in **advanced AI and agentic systems** - Experience in **Edge AI / IoT systems** - Knowledge graph + **Neo4j + reasoning systems** - AI agent orchestration (multi-step workflows, commissioning agents) - Domain-specific AI (Energy, Design, Forecasting, etc.) Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.