AI Automation Engineer

About the Role

Our client is expanding their AI and automation initiatives and is seeking an experienced
AI Automation Engineer
to help design and deploy intelligent automation solutions. This role will work on building AI agents, integrating LLM technologies, and developing automation workflows that support key business operations.

This is an excellent opportunity for someone who enjoys architecting automation at scale and applying modern AI/ML tools to real-world challenges.

Responsibilities

• Build and deploy
  AI-driven automation workflows
  , intelligent agents, and end-to-end automation systems.
• Develop solutions using
  LLMs
  ,
  RAG architectures
  ,
  NLP models
  , and
  vector databases
  .
• Create scalable integration layers using
  Python
  ,
  JavaScript/TypeScript
  , or similar languages.
• Collaborate with business and technical teams to identify process automation opportunities.
• Work with top AI platforms such as
  OpenAI
  ,
  Azure OpenAI
  ,
  AWS Bedrock
  ,
  Vertex AI
  , and
  Hugging Face
  .
• Ensure automation infrastructure is optimized, tested, and reliable at scale.

Required Skills

• Background in
  AI Engineering
  ,
  Machine Learning
  ,
  Automation Engineering
  , or
  Software Development
  .
• Hands-on experience with
  LLMs
  ,
  prompt engineering
  ,
  generative AI
  ,
  fine-tuning
  , or
  NLP
  .
• Experience with
  LangChain
  ,
  LLM agents
  , or other agent frameworks.
• Knowledge of
  vector databases
  (Pinecone, Weaviate, FAISS, Chroma, etc.).
• Proficiency in
  Python
  ,
  JavaScript/TypeScript
  , or related languages.
• Experience building automation workflows, integrations, or orchestration logic (APIs, microservices, RPA, etc.).
• Familiarity with cloud platforms (AWS, Azure, GCP).

Nice to Have

• Experience with
  AutoGen
  ,
  CrewAI
  ,
  OpenAI Assistants
  , or agent-based systems.
• Exposure to
  RPA platforms
  (UiPath, Automation Anywhere, Power Automate).
• Background in computer vision or predictive modeling.
• MLOps experience (CI/CD, containerization, deployment).

What Our Client Values

• Curiosity and passion for emerging AI tools and frameworks.
• Ability to design modern, scalable systems.
• Strong problem-solving and communication skills.
• A collaborative mindset and ownership mentality.