AI Engineer

2 - 4 years

1 - 3 Lacs

Posted:1 day ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

We are looking for a passionate AI Engineer to design, build, and deploy data-driven AI solutions leveraging the latest in LLMs (Large Language Models) and Generative AI technologies. The ideal candidate will have a solid foundation in data engineering, hands-on experience with AI/ML models, and a keen interest in building intelligent systems that create real-world impact.

Key Responsibilities:

1. Generative AI Development:

  • Build and fine-tune Generative AI models (LLMs, diffusion models, transformers, etc.) for tasks such as text generation, summarization, image generation, code assistance, or chatbot applications.
  • Integrate LLMs (e.g., OpenAI, Anthropic, Mistral, Llama, or Hugging Face models) into business workflows.
  • Design prompt engineering and context management strategies to optimize model outputs.
  • Contribute to Retrieval-Augmented Generation (RAG) pipelines, embeddings, and vector database integrations (e.g., FAISS, Pinecone, Chroma).
  • Collaborate with data scientists and product teams to prototype and deploy GenAI-powered features.

2. Data Engineering & Infrastructure:

  • Design and maintain data pipelines that support training, fine-tuning, and inference workloads.
  • Handle large-scale unstructured data (text, audio, image, or code) efficiently.
  • Ensure data quality, lineage, and governance using modern data engineering tools.
  • Work with cloud environments (AWS, GCP, or Azure) to build scalable AI systems.
  • Implement ETL/ELT workflows using tools like Airflow, Prefect, or DBT.

3. MLOps & Deployment:

  • Deploy and monitor GenAI models using Docker, Kubernetes, or cloud-based ML services.
  • Build automated pipelines for model training, testing, and deployment.
  • Track experiments, data versions, and model performance with MLflow, DVC, or Weights & Biases.
  • Ensure security, compliance, and ethical AI practices in all deployments.

Required Skills & Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or related field.
  • 2–4 years of experience in data engineering, AI/ML, or GenAI development.
  • Strong programming skills in Python (knowledge of Pandas, NumPy, PyTorch, or TensorFlow).
  • Familiarity with LLM APIs (OpenAI, Anthropic, Google Gemini, etc.) and prompt design.
  • Experience with SQL, data warehousing, and data pipeline tools.
  • Working knowledge of Git, REST APIs, Docker, and cloud-based data workflows.
  • Excellent problem-solving skills and curiosity about new AI technologies.

Job Type: Full-time

Experience:

  • AI: 2 years (Required)

Work Location: In person

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