AI Engineer

October 21

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Pindrop

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Cybersecurity • Telecommunications • Finance

Pindrop is a leader in voice authentication and fraud detection, offering innovative solutions to enhance the security of voice communications. The company uses advanced technologies such as liveness detection, behavioral analysis, and voice biometrics to combat threats like deepfakes and spoofing in various sectors including banking, finance, insurance, and retail. Pindrop integrates with platforms like Five9 to provide multifactor authentication, ensuring both the protection of sensitive information and a seamless user experience. With a focus on securing call centers and smart devices, Pindrop helps businesses prevent fraud and improve customer interactions by leveraging cutting-edge audio, voice, and AI technologies. Their solutions are trusted by some of the largest financial institutions and insurance companies around the world.

201 - 500 employees

Founded 2011

🔒 Cybersecurity

📡 Telecommunications

💸 Finance

📋 Description

• Architect, develop, and deploy scalable ML and LLM-based systems — from model experimentation through production and continuous improvement. • Build and maintain modern microservices architectures and APIs that power AI-driven applications at enterprise scale. • Develop and automate MLOps and LLMOps pipelines for model training, versioning, evaluation, deployment, and monitoring using MLflow, Kubeflow, Vertex AI, or SageMaker. • Design and implement RAG and GraphRAG architectures, integrating structured and unstructured data using vector databases (FAISS, Pinecone, Weaviate, Milvus) and hybrid retrieval/reranking pipelines. • Leverage cloud AI platforms, including: AWS Bedrock (Converse API, Agents, Knowledge Bases, Guardrails) and Google Cloud Vertex AI (Gemini API, Agent Builder, Vector Search, Search & Grounding, Model Garden). • Integrate and productionize ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost) into robust, monitored, and scalable services. • Collaborate cross-functionally with data, infrastructure, and product teams to translate requirements into secure, efficient, and compliant AI solutions. • Implement observability and evaluation pipelines for AI systems, including tracing, latency tracking, hallucination analysis, and drift detection. • Champion Responsible AI, including safety guardrails, red-teaming, fairness/bias testing, and human-in-the-loop workflows. • Optimize AI workloads for performance and cost efficiency using techniques like model distillation, quantization, caching, batching, and inference streaming. • Define reference architectures, golden paths, and technical guardrails for reliable multi-cloud AI delivery. • Continuously explore emerging AI and ML technologies, evaluating new frameworks, APIs, and deployment methods.

🎯 Requirements

• 7+ years of professional software or ML engineering experience. • 7+ years designing and developing modern, distributed microservices and enterprise-scale APIs. • 5+ years delivering cloud-native AI/ML applications on AWS and/or Google Cloud, including architecture, optimization, and cost management. • 5+ years implementing DevOps and CI/CD automation with Docker, Kubernetes, and infrastructure-as-code tools (Terraform, CDK, GitOps). • 3+ years of hands-on experience designing, integrating, and deploying LLM-based systems (e.g., GPT, Claude, Gemini, Llama, Mistral). • Strong experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and XGBoost. • Experience with LLM frameworks and orchestration tools, including LangChain, LlamaIndex, Langfuse, Dust, Google ADK, AWS Bedrock, and Vertex AI. • Solid understanding of retrieval-augmented generation (RAG) patterns, embeddings, vector search, and caching strategies. • Proficiency in Python for production-grade backend development and data pipeline engineering. • Familiarity with AI observability and evaluation (A/B testing, groundedness, hallucination detection, drift monitoring). • Knowledge of Responsible AI frameworks and practices, including data governance, safety filtering, and compliance enforcement. • Strong communication and collaboration skills, with the ability to work across ML, infra, and product teams to deliver scalable solutions.

🏖️ Benefits

• Competitive compensation, including equity for all employees • Unlimited Paid Time Off (PTO) • Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan! • Best-in-class Health Savings Account (HSA) employer contribution • Affordable vision and dental plans for you and your family • Employer-provided life and disability coverage with additional supplemental options • Paid Parental Leave - Equal for all parents, including birth, adoptive & foster parents • One year of diaper delivery for your newest addition to the family! It’s our way of welcoming new Pindroplets to the family! • Identity protection through Norton LifeLock • Recurring monthly Phone and Internet allowance • One-time home office allowance • Remote first environment – meaning you have flexibility in your day! • Company holidays • Annual professional development and learning benefit • Pick your own Apple MacBook Pro • Retirement plan with competitive 401(k) match • Wellness Program, including Employee Assistance Program, 24/7 Telemedicine