Artificial Intelligence Engineer

Position:

Location:

Experience:

About the Role

AI/ML leader

Key Responsibilities

• Lead

  end-to-end design & implementation

  of AI/ML & GenAI solutions.
• Act as a

  client-facing technical advisor

  , shaping roadmaps and validating delivery.
• Build and optimize

  LLM-powered applications, agentic AI workflows, and pipelines

  .
• Develop production-ready Python code: APIs, microservices, and ML integrations.
• Execute

  prompt engineering & fine-tuning

  strategies for LLM-driven features.
• Implement

  MLOps & CI/CD pipelines

  (Docker, Kubernetes, Azure).
• Conduct

  code reviews, performance profiling, and model governance

  .
• Ensure compliance with

  responsible AI, privacy & data regulations

  .

Required Skills

• Programming:

  Python (Pandas, NumPy, FastAPI/Flask)

• ML/AI Expertise:

  LLMs, NLP, GenAI, Hugging Face Transformers, Reinforcement Learning, Agentic AI

• Architecture:

  Microservices, APIs, containerization (Docker/K8s), REST

• Frameworks/Tools:

  PyTorch, TensorFlow, LangChain, MLflow, Airflow, Kubeflow, Hugging Face, OpenAI APIs

• MLOps & Cloud:

  Azure (preferred), CI/CD (GitHub Actions/Jenkins), monitoring, scaling ML pipelines

• Soft Skills:

  Strong client-facing communication, problem-solving, team leadership

Preferred

• Proven delivery of

  enterprise-scale GenAI apps

• Multi-modal AI/agentic AI experience
• Familiarity with

  GDPR/HIPAA, ethical AI frameworks