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Generative AI Engineer - Python

Generative AI Engineer - Python

SourceBaeNoida
30+ days ago
Job description

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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    Generative Ai Engineer • Noida