ALops MLops

Job Title: AIOps / MLOps Engineer (LLMOps Focus)

Experience:

Job Summary

AIOps / MLOps Engineer

Key Responsibilities

• Design and implement

  end-to-end MLOps/LLMOps pipelines

  for training, deployment, monitoring, and retraining of ML and LLM models
• Build and manage

  LLM-based applications

  using

  LangChain and LangGraph

• Implement

  observability, tracing, and evaluation

  for LLM workflows using

  Langfuse

• Develop CI/CD pipelines for ML and LLM models using modern DevOps practices
  
• Monitor model performance, data drift, hallucinations, and inference quality
  
• Implement AIOps use cases such as anomaly detection, predictive alerts, and automated root cause analysis
  
• Optimize inference latency, scalability, and infrastructure cost
  
• Collaborate with cross-functional teams to productionize AI/ML solutions
  
• Ensure governance, security, and compliance of AI systems
  

Technical Skills Required

• 6+ years of overall experience in

  AIOps / MLOps / LLMOps

• Strong hands-on experience in

  Python

• Experience with

  LangChain, LangGraph, and Langfuse

  (mandatory)
• Experience in building and deploying

  LLM-based applications

  (OpenAI, Azure OpenAI, Anthropic, or similar)
• ML frameworks: TensorFlow, PyTorch, Scikit-learn
  
• MLOps tools: MLflow, Kubeflow, Airflow
  
• Strong knowledge of

  Docker, Kubernetes

  , and container orchestration
• Cloud platforms:

  AWS / Azure / GCP

• CI/CD tools: Jenkins, GitHub Actions, GitLab CI
  
• Monitoring & observability: Prometheus, Grafana, ELK, OpenTelemetry
  
• Data & streaming tools: Kafka, Spark (good to have)
  

Preferred / Nice to Have

• Experience with

  RAG pipelines

  , vector databases (Pinecone, FAISS, Weaviate, Chroma)
• Knowledge of prompt engineering, prompt versioning, and evaluation strategies
  
• Experience with IT operations data (logs, metrics, traces) for AIOps use cases
  
• Exposure to security and compliance for GenAI systems
  

Soft Skills

• Strong analytical and problem-solving skills
  
• Excellent communication and stakeholder management
  
• Ability to work independently in a fast-paced environment
  

Education

• Bachelors or Master’s degree in Computer Science, Engineering, or related field
  

Why Join Aziro

• Work on cutting-edge

  GenAI, LLMOps, and AIOps

  initiatives
• Opportunity to build scalable, production-grade AI platforms
  
• Collaborative work culture with hybrid flexibility