Gen AI Engineer

2 - 6 years

4 - 8 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Generative AI (Minimum Requirements):

  • Strong understanding of LLMs, agent architectures, generative pipelines.
  • Proven experience in delivering AI solutions in enterprise setting.
  • Hands-on with backend engineering: Python/Node.js, &REST APIs.
  • Familiar with prompt engineering, model fine-tuning, and retrieval-augmented generation (RAG)
  • Excellent communication skills with business and technical stakeholders
  • Hands-on experience with LangGraph or similar AI agent frameworks
  • Proficiency with LlamaIndex, LangChain, or equivalent data processing libraries
  • Experience with vector databases (Pinecone, Weaviate, Chroma, etc.)
  • Working knowledge of multiple LLMs and their APIs (OpenAI GPT, Gemini, Claude)
  • Experience with LLM observability tools (LangSmith, Weights & Biases, etc.)
  • Experience developing RAG (Retrieval-Augmented Generation) chatbots
  • Experience with coding agents and code generation systems

Traditional AI/ML:

  • Strong foundation in clustering, regression, classification, and forecasting
  • Proficiency with scikit-learn, PyTorch, TensorFlow
  • Experience with statistical analysis and experimental design
  • Knowledge of feature engineering and data preprocessing techniques
  • Understanding of multimodal AI.

Good to Have:

  • Experience onAWS Bedrock/SageMaker
  • Fine-tuning experience with LLMs, rerankers, or embedding models
  • Self-hosting and deployment of open-source LLMs
  • Experience with BERT, transformer architectures, or computer vision models (YOLO)
  • MLOps experience with MLflow, Weights & Biases, or TensorBoard
  • AWS Cloud platform certifications
  • Fine-tuning tools: LoRA, QLoRA, PEFT
  • Experience in building LLM BI solutions (natural language to SQL)

5. Nice to have requirements to the candidate

  • Prior experience working on projects with a lot of PII data or working in Financial Services industry is a "Plus".
  • Experience with

    multimodal AI systems

    combining text, image, and speech
  • Familiarity with

    AI Ethics, Safety

    , and

    Responsible AI Frameworks

  • Contributions to open-source AI projects or community involvement
Qualifications

Traditional AI/ML:

  • Strong foundation in clustering, regression, classification, and forecasting
  • Proficiency with scikit-learn, PyTorch, TensorFlow
  • Experience with statistical analysis and experimental design
  • Knowledge of feature engineering and data preprocessing techniques
  • Understanding of multimodal AI.
Would be a plus

Good to Have:

  • Experience onAWS Bedrock/SageMaker
  • Fine-tuning experience with LLMs, rerankers, or embedding models
  • Self-hosting and deployment of open-source LLMs
  • Experience with BERT, transformer architectures, or computer vision models (YOLO)
  • MLOps experience with MLflow, Weights & Biases, or TensorBoard
  • AWS Cloud platform certifications
  • Fine-tuning tools: LoRA, QLoRA, PEFT
  • Experience in building LLM BI solutions (natural language to SQL)
We offer
  • Opportunity to work on bleeding-edge projects
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Benefits package - medical insurance, sports
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office

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