Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Shape the future of AI-powered solutions in the insurance industry.

Requirements

• Hands-on experience with Python, TensorFlow, PyTorch, and GenAI platforms.
• Familiarity with AWS, Azure, or GCP AI services.
• Experience with data engineering tools like Spark, Kafka, Airflow, and modern data stacks.

Responsibilities

• Build intelligent automation and AI-powered services using LangChain, Hugging Face, and AWS Bedrock.
• Develop multimodal pipelines to process PDFs, images, audio, video, and structured/unstructured data.
• Deploy models in AWS SageMaker and orchestrate workflows with Step Functions and Lambda.
• Implement retrieval-augmented generation (RAG) and integrate LLMs for summarization and anomaly detection.
• Ensure compliance with HIPAA, SOC2, and Responsible AI standards.
• Stay ahead of AI trends by experimenting with new tools like Amazon Q and Titan models.

Other

• 8+ years in software/data/AI engineering, with 3+ years focused on AI/ML.
• Strong communication skills and a passion for solving real-world problems.
• Insurance or regulated industry experience is a plus.