Gen AI Engineer

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 2 months ago
3-5 years
Ahmedabad, Gujarat
work from office

Posted: 2 months ago
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Applicants: 149+
Job Description
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Job Description

Designation: Gen AI Engineer
Experience: 3 - 5 Years
Location: Ahmedabad
Priority: Immediate joiners preferred
Job Summary
We are seeking an Gen AI Engineer with 3+ years of experience in building and deploying intelligent systems. The role focuses on developing scalable ML solutions, optimizing models, and solving real-world business problems.
Key Responsibilities
  • Design, develop, train, evaluate, and deploy ML/DL models
  • Work on classification, regression, clustering, NLP, and recommendation systems
  • Perform data preprocessing, feature engineering, hyperparameter tuning, and model optimization
  • Hands-on experience with AI tools and developer productivity tools such as n8n, Cursor, Claude, ChatGPT, GitHub Copilot, and similar AI-assisted automation/coding platforms
  • Experience using AI tools effectively for automation, development workflows, debugging, code generation, and productivity enhancement
  • Build and fine-tune Generative AI models (LLMs, VAEs, diffusion models) using Hugging Face, LangChain, OpenAI, LlamaIndex
  • Develop RAG pipelines, prompt engineering workflows, and embedding-based search systems
  • Build Multi-Agent Systems and agent workflows using CrewAI, LangGraph, AutoGen, etc.
  • Integrate AI solutions into scalable production systems
  • Monitor model performance, accuracy, latency, and reliability
  • Collaborate with cross-functional teams and stay updated with latest AI/ML advancements
Requirements
  • Strong Python programming skills
  • Strong understanding of ML concepts:
  • Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or Keras
  • Practical experience in:
    • Model training & fine-tuning
    • LLMs & Generative AI
    • RAG architecture
    • Looking to get Placed? Try our Placement Guarantee Plan

      Prompt Engineering
    • Embeddings & Vector Search
  • Experience with vector DBs: Pinecone, Weaviate, Chroma, FAISS
  • Experience with LangChain, LlamaIndex, OpenAI APIs
  • Knowledge of Multi-Agent/Agentic AI systems
  • Experience with FastAPI/Flask model deployment
  • Familiarity with AWS/GCP/Azure
  • Knowledge of Git and MLOps tools (MLflow, Airflow, Kubeflow)
  • Basic understanding of Spark/Hadoop and ETL pipelines
What We Offer
  • 5-day work week & Flexible work hours
  • Growth-focused journey with regular rewards and recognition
  • Focus on learning & development
  • Competitive, goal-driven culture

Skills

PythonEtlAi/mlPrompt EngineeringAi EngineerFlaskAiMl

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Important dates & deadlines?

Application Deadline

08 Sep 26, 03:01 PM IST

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