Generative AI Developer

Position:

Generative AI Developer

• AI/ML Development

  • Fine-tune and optimize

    LLMs (GPT, LLaMA, Claude, etc.)

    for specific business use cases.
  • Build and deploy

    GenAI-powered applications

    (chatbots, copilots, summarization, Q&A systems, generative content).
  • Experiment with

    multimodal AI

    (text, image, audio, video).

• Prompt Engineering & Orchestration

  • Design effective prompts and workflows to maximize model performance.
  • Work with frameworks like

    LangChain, LlamaIndex, Haystack

    for retrieval-augmented generation (RAG).

• Backend & Integration

  • Develop APIs and services to integrate GenAI models into existing platforms.
  • Connect AI with structured/unstructured data sources.

• Cloud & Deployment

  • Deploy models on

    AWS, Azure, or GCP

    (SageMaker, Vertex AI, Azure OpenAI).
  • Implement

    scalable, cost-efficient inference pipelines

    .

• MLOps & Performance

  • Monitor AI models in production (latency, accuracy, hallucination rates).
  • Implement continuous training, evaluation, and improvement workflows.

• Strong programming skills in

  Python

  (Node.js/Java is a plus).
• Hands-on experience with

  GenAI/LLMs

  (OpenAI, Anthropic, Hugging Face, Cohere, Stability AI).
• Familiarity with

  LangChain, LlamaIndex, RAG pipelines

  .
• Knowledge of

  NLP, embeddings, vector databases (Pinecone, Weaviate, Milvus, FAISS)

  .
• Experience with

  cloud platforms (AWS, Azure, GCP)

  and deployment of ML models.
• Understanding of

  prompt design, fine-tuning, and model evaluation

  .
• Solid grasp of

  APIs, microservices, and REST/GraphQL integrations

  .

• Experience with

  multimodal models

  (text-to-image, speech-to-text, etc.).
• Exposure to

  containerization & orchestration

  (Docker, Kubernetes).
• Knowledge of

  data privacy, security, and compliance