Generative AI Engineer

4 days ago

Noida, India SourceBae Full time

Job Title : Generative AI Lead.Location : Noida(Hybrid) once in a week.Experience Required : 7+ years (including 3 years in GenAI/LLMs).About the Role :We are seeking a highly skilled Generative AI Architect to lead the design, development, and deployment of cutting-edge GenAI solutions across enterprise-grade applications.This role requires deep expertise in LLMs, prompt engineering, and scalable AI system architecture, combined with hands-on experience in MLOps, cloud, and data engineering.Key Responsibilities :- Design and implement scalable, secure GenAI solutions using large language models (LLMs) such as GPT, Claude, LLaMA, or Mistral.- Architect Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Weaviate, FAISS, or ElasticSearch.- Lead prompt engineering and evaluation frameworks for accuracy, safety, and contextual relevance.- Collaborate with product, engineering, and data teams to integrate GenAI into existing applications and workflows.- Build reusable GenAI modules (function calling, summarization, Q&A bots, document chat, etc.- Leverage cloud-native platforms (AWS Bedrock, Azure OpenAI, Vertex AI) to deploy and optimize GenAI workloads.- Ensure robust monitoring, logging, and observability across GenAI deployments (Grafana, OpenTelemetry, Prometheus).- Apply MLOps practices for CI/CD of AI pipelines, model versioning, validation, and rollback.- Research and prototype emerging trends in GenAI including multi-agent systems, autonomous agents, and fine-tuning.- Implement security best practices, data governance, and compliance protocols (PII masking, encryption, audit logs).Required Skills & Experience :- 8+ years of overall experience in AI/ML, with at least 23 years focused on LLMs / GenAI.- Strong programming skills in Python, with frameworks like Transformers (Hugging Face), LangChain, or OpenAI SDKs.- Experience with Vector Databases (e., Pinecone, Weaviate, FAISS, Qdrant).- Proficiency in cloud platforms: AWS (SageMaker, Bedrock), Azure (OpenAI), GCP (Vertex AI).- Experience in designing and deploying RAG pipelines, summarization engines, and chat-based apps.- Familiarity with function calling, tool usage, agents, and LLM orchestration frameworks (LangGraph, AutoGen, CrewAI).- Understanding of MLOps tools: MLflow, Airflow, Docker, Kubernetes, FastAPI.- Exposure to prompt injection mitigation, hallucination control, and LLMOps.- Ability to evaluate GenAI systems using metrics like BERTScore, BLEU, GPTScore.- Strong communication and documentation skills; ability to lead architecture discussions and mentor engineering teams.Preferred (Nice to Have) :- Experience with fine-tuning open-source LLMs (LLaMA, Mistral, Falcon) using LoRA or QLoRA.- Knowledge of multi-modal AI (text-image, voice assistants).- Familiarity with domain-specific LLMs in Healthcare, BFSI, Legal, or EdTech.- Published work, patents, or open-source contributions in GenAI (ref:hirist.tech)

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