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Generative AI/ML Engineer

2 weeks ago


Mumbai, Maharashtra, India dentsu Full time US$ 1,20,000 - US$ 2,00,000 per year

Job Description –

Role Summary

We are seeking a
Generative AI/ML Engineer
to design, build, and deploy intelligent AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and edge computing. You will work hands-on with cloud-native AI services, LLMOps pipelines, and enterprise-grade deployment patterns to solve business problems.

Key Responsibilities

  • Design, develop, and fine-tune LLM-powered applications for enterprise use cases.
  • Experience in evaluating LLM applications and developing observability frameworks
  • Implement
    RAG pipelines
    using vector databases, embeddings, and optimized retrieval strategies.
  • Build
    agentic AI workflows
    with multi-step reasoning, tool calling, and integration with APIs.
  • Integrate GenAI solutions into
    multi-cloud or hybrid cloud environments
    (AWS, Azure, GCP).
  • Develop and optimize
    edge AI deployments
    for low-latency use cases.
  • Create
    data strategy, ingestion, transformation, enrichment, validations, quality checks via pipelines
    for AI ingestion, preprocessing, and governance.
  • Implement
    AI safety, bias mitigation, and compliance
    measures.
  • Work closely with
    LLMOps
    teams to enable
    continuous integration & deployment
    of AI models.
  • Write well-documented, production-ready code in
    Python, , Rust
    .
  • Benchmark and evaluate
    model performance
    , latency, and cost-efficiency.

Required Skills

  • Proficient in
    cloud AI services
    (e.g. AWS Bedrock/SageMaker, Azure AI Foundry, Google Vertex AI, Anthropic, OpenAI APIs).
  • Strong proficiency with
    Python
    and LLM frameworks (e.g. PromptFlow, LangGraph, LlamaIndex, HuggingFace, PyTorch, TensorFlow).
  • Hands-on experience with
    vector DBs
    (e.g. Pinecone, Weaviate, Milvus, FAISS, Azure Cognitive Search).
  • Experience building
    RAG-based
    and
    agentic AI
    solutions.
  • Familiarity with
    Edge AI frameworks
    (e.g. NVIDIA Jetson, AWS IoT Greengrass, Azure Percept).
  • Multi-modal AI (text, image, speech, video) experience.
  • Strong grasp of
    APIs, microservices, and event-driven architectures
    .
  • Knowledge of
    AI governance
    (data privacy, model explainability, security).
  • Experience in
    containerized deployments
    (Docker, Kubernetes, serverless AI functions).

Preferred Skills

  • Generative agents with
    memory and planning capabilities
    .
  • Real-time AI streaming with WebSockets or Kafka.
  • Prior contributions to
    open-source GenAI projects
    .
  • Experience in build, test and deploy various ML models
  • Experience in building MCP, A2A protocol