GenAI/ML Engineer

We’re Hiring! | AI/ML & Generative AI Developer

Location:

AI Innovation Team

Role Summary

LangChain, LlamaIndex, RAG pipelines, Azure, and Databricks

Key Responsibilities

• Develop and deploy

  AI/ML models and Generative AI applications

  for diverse enterprise challenges.
• Fine-tune and integrate

  LLMs

  with

  LangChain, LlamaIndex

  , and

  RAG pipelines

  .
• Build

  Agentic AI systems

  with multi-step reasoning and decision-making.
• Design scalable

  data ingestion and retrieval pipelines

  for structured/unstructured data.
• Collaborate with Data Engineers, Product Managers, and Architects to productionize AI solutions.
• Implement

  CI/CD pipelines for ML/GenAI workflows

  and support

  MLOps best practices

  .
• Leverage

  Azure and Databricks

  for scalable AI deployments and monitoring.

Must-Have Qualifications

• 4+ years of hands-on experience in

  AI/ML & Generative AI development

  .
• Strong expertise in

  RAG, LLMs, and Agentic AI implementations

  .
• Proficient in

  LangChain, LlamaIndex

  , Python, and ML/DL libraries like

  TensorFlow, PyTorch

  .
• Deep knowledge of

  Deep Learning, NLP, Transformer architectures

  .
• Practical experience with

  Azure cloud, Databricks, CI/CD pipelines, and MLOps tools

  (MLflow, DVC, Kubeflow).

Preferred Skills

• Knowledge of

  vector databases

  like FAISS, Pinecone, Weaviate.
• Experience with

  AutoGPT, CrewAI

  , or other agent frameworks.
• Familiarity with

  Azure OpenAI, Cognitive Search, Databricks ML tools

  .
• Awareness of

  AI security, responsible AI, and model governance

  .

Soft Skills

• Strong problem-solving and critical thinking.
• Excellent communication — ability to simplify complex AI concepts.
• Collaborative mindset within agile teams.
• Growth-driven with a passion for emerging technologies.

If this excites you, or if you know someone who fits this profile, we’d love to connect!

Apply now / Share your profile:

#AIJobs #GenerativeAI #LLM #MachineLearning #DataScience #AzureAI #Databricks #LangChain #Hiring #MLops