AI Engineer at Pindrop

, , United States -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

190000.0

Posted On

22 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Microservices, Cloud Computing, DevOps, CI/CD, LLM Systems, TensorFlow, PyTorch, Scikit-learn, XGBoost, Responsible AI, Python, MLOps, APIs, Data Integration, Observability

Industry

Computer and Network Security

Description

Who We Are Pindrop is redefining trust in the digital age. Our patented voice, and video authentication, fraud detection, and deepfake detection technologies protect some of the world’s largest banks, insurers, retailers, and healthcare leaders. As AI-driven threats evolve in the form of synthetic voices, deepfakes, face swapping and more, our solutions stay ahead, helping ensure that the real human and the right human are recognized. Pindrop is trusted by Fortune 500 enterprises to secure voice interactions, and with $100M ARR we’re entering our next phase of innovation and growth, backed by world-class investors including Andreessen Horowitz, IVP, and CapitalG. What you’ll do 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) 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. Who you are You are a creative problem solver, excited about building products that add real value and make technology safer and more human. You’re intrinsically motivated, resourceful, and thrive in a fast-paced, ambiguous, innovation-driven culture. You have strong communication and collaboration skills; you’re enthusiastic about sharing complex concepts in simple terms and supporting colleagues across disciplines. You are resilient in the face of challenges, ambiguity, and change; you adapt swiftly and maintain an optimistic approach. You are driven by integrity, accountability, and the continual pursuit of excellence in both research and product delivery. Your skill-set Must-haves: 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. Nice-to-haves: Hands-on experience with AWS Bedrock and/or Google Vertex AI (Gemini API, Agent Builder, Vector Search, Guardrails, Safety). Deep understanding of multi-cloud AI architectures, including hybrid data integration and federated inference. Experience with feature stores, knowledge graphs, and data enrichment pipelines for ML/LLM systems. Background in Responsible AI evaluation, FinOps for AI workloads, and AI observability (telemetry, tracing, token-level cost attribution). Familiarity with event-driven architectures, streaming data systems, and platform engineering practices. Contributions to open-source ML or AI infrastructure projects. What’s in it for you As a Pindropper, you join a rapidly growing company making technology more human with the power of voice. You will work alongside some of the best and brightest. We’re a passionate group committed to excellence - but that doesn’t stop us from enjoying the journey as a team with chess and poker tournaments, catered lunches and happy hours, wellness programming, and more. Because we take our jobs seriously, we add in time for rest with Unlimited PTO. You’ll help secure the next frontier in voice and digital identity, working at the cutting edge of AI. Within 30 days, you’ll Be introduced to your team and colleagues, participate in onboarding, and assimilate into our culture through 1:1s and training. Engage with product demos and learning resources to understand Pindrop’s AI-driven solutions. Within 60 days, you’ll Start contributing to one or more research or product AI projects. Participate in team technical reviews and join regular meetings to shape the AI roadmap. Within 90 days, you’ll Gain intermediate familiarity with our products and research initiatives. Begin delivering on AI engineering milestones, presenting learnings, and helping chart future innovation. What we offer As a part of Pindrop, you’ll have a direct impact on our growing list of products and the future of security in the voice-driven economy. We hire great people and take care of them. Here’s a snapshot of the benefits we offer: 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 This position will be posted for 60 days after 10/14/2025. #LI-Remote Please note that the base pay range is a general guideline only. Pindrop considers factors such as (but not limited to) scope and responsibilities of the position, a candidate's work experience, education/training, and key skills, as well as market and business considerations, when extending an offer. US Base Pay Range $150,000—$190,000 USD What we live by At Pindrop, our Core Values are fundamental beliefs at the center of all we do. They are our guiding principles that dictate our actions and behaviors. Our Values are deeply embedded into our culture in big and small ways and even help us decide right from wrong when the path forward is unclear. At Pindrop, we believe in taking accountability to make decisions and act in a way that reflects who we are. We truly believe making decisions and acting with our Core Values in mind will help us to achieve our goals and keep Pindrop a great place to work: Audaciously Innovate - We continue to change the world, and the way people safely engage and interact with technology. As first principle thinkers, we challenge standards, take risks and learn from our mistakes in order to make positive change and continuous improvement. We believe nothing is impossible. Evangelical Customers for Life - We delight, inspire and empower customers from day one and for life. We create a partnership and experience that results in a shared passion. We are champions for our customers, and our customers become our champions, creating a universal commitment to one another. Execution Excellence - We do what we say and say what we do. We are accountable for making the tough decisions and necessary tradeoffs to deliver quality and effective solutions on time. Win as a Company - Every time we win, we win as a company. Every time we lose, we lose as a company. We break down silos, support one another, embrace diversity and celebrate our successes. We are better together. Make a Difference - Every day we have the opportunity to make a positive impact. We operate with dedication, passion, and uncompromising integrity, creating a safer, more secure world. Not sure if this is you? We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time. Pindrop is an Equal Opportunity Employer Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.

Responsibilities

Architect, develop, and deploy scalable ML and LLM-based systems while building and maintaining modern microservices architectures and APIs. Collaborate cross-functionally to translate requirements into secure, efficient, and compliant AI solutions.