Hybrid
Full Time
Strong Python proficiency (core requirement)
Hands-on experience with LLM inferencing (OpenAI, Anthropic, AWS Bedrock, etc.) Knowledge of RAG architectures and vector search pipelines Experience with embeddings and vector databases (e.g., FAISS, Pinecone, Weaviate) AWS AI/ML services (SageMaker, Bedrock, Lambda, API Gateway, S3, DynamoDB) Prompt engineering and orchestration Experience integrating models into production pipelines Understanding of classical ML concepts (regression, classification, anomaly detection) Strong API design and backend integration skills
Good-to-Have Skills
Experience with agentic AI patterns (multi-step reasoning, tool use)
Knowledge of GitOps workflows (ArgoCD, Flux) Familiarity with observability tools (OpenTelemetry, Vector) Exposure to predictive maintenance use cases Experience with lightweight model training using AWS AutoML Understanding of CNCF ecosystem tools (Helm, container orchestration) Basic knowledge of containerization and Kubernetes Experience contributing to open-source AI/ML projects
Calsoft
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