AI/ML Engineer

Job Title:

Key Responsibilities

• Design, build, and optimize

  AI/ML solutions

  for enterprise applications.
• Develop

  Generative AI applications

  with workflows such as

  RAG

• Build and deploy

  AI agents

  using frameworks like

  LangGraph, Crew, or PydanticAI

  .
• Implement

  LLM integration

  and optimize

  Prompt Engineering workflows (Eg

  .,

  GPT, Claude, LLaMA).

• Collaborate with cross-functional teams to integrate AI solutions into production systems.
• Utilize Databricks, REST APIs, WebSockets, and event-driven architectures for scalable deployments.
• Ensure adherence to SDLC best practices, CI/CD pipelines (Jenkins), and Git-based workflows.
• Leverage

  AI-augmented development tools

  for rapid prototyping.
• Knowledge of

  enterprise security, compliance, and governance

  in AI systems.
• Familiarity with

  model lifecycle and code management best practices

  .

Required Skills

• 35 years of experience in

  Machine Learning/Artificial Intelligent.

• Experience in

  Generative AI application development.

• Strong proficiency in

  Python

  and modern software development practices.
• Hands-on experience with

  LLMs and prompt engineering

  .
• Experience in

  cloud-native deployment strategies

  .
• Strong understanding of

  agile methodologies and collaborative development

  .
• Exposure to

  MLOps/LLMOps workflows

  and

  model monitoring

  .