Hands-on senior role to design, build, and deliver production Gen‑AI systems end-to-end (UI, backend, deployment). Responsibilities include implementing RAG, tool-calling, agent workflows, prompting patterns, evals, and guardrails; configuring CI/CD and environments; and ensuring security, auditability, and PII-aware handling. Strong JavaScript/TypeScript experience and familiarity with React/Next.js, Node.js, Postgres, vector stores, and cloud platforms are required.

Manage analytical service operations for mortgage and tenant screening businesses across the US, leading a team of data scientist consultants. Design and develop software and statistical/predictive scoring models (regression, classification, decision trees), use SQL and visualization tools (Tableau, Spotfire), and provide training and mentorship to direct reports.

The Sr. Distinguished Machine Learning Engineer will define technical strategy and build production-grade, low-latency personalization and recommendation systems, end-to-end ML pipelines, MLOps tooling, and LLM optimization techniques. Role requires extensive experience with distributed computing, cloud platforms (AWS/GCP/Azure), containers and orchestration, ML frameworks (PyTorch/TensorFlow), and leading cross-functional technical initiatives. Capital One may sponsor employment authorization.

SecurityScorecard seeks a Staff AI Engineer with 7+ years of software engineering experience and 3+ years shipping AI-powered features to define architectures for LLM pipelines, agentic systems, retrieval infrastructure, and evaluation frameworks. Must be proficient in TypeScript, experienced with distributed systems at scale, familiar with AI-native development tools (Cursor, Claude Code or equivalent), and comfortable with cloud infrastructure (AWS). This position is remote within the US and does not provide immigration sponsorship.

Lead end-to-end design and delivery of major AI product initiatives, define AI system architecture (LLM pipelines, agentic workflows, retrieval, evaluation), set engineering standards, and elevate cross-team practices. Requires 7+ years software engineering experience, 3+ years building AI-powered production features, proficiency in TypeScript, backend/distributed systems experience, familiarity with AI-native workflows (Cursor, Claude Code or equivalent), and cloud infrastructure (AWS). Location: Hybrid (NYC Metro). No immigration sponsorship provided.

SecurityScorecard seeks a Senior AI Engineer to design, build, and ship customer-facing AI-powered features. The role focuses on LLM integration, agentic workflows, distributed systems, and production reliability using TypeScript, Go, AWS, containerization, and CI/CD. Requires 5+ years software engineering experience and 2+ years building AI-powered production applications. Position is hybrid in the NYC metro area and does not provide immigration sponsorship.

Hands-on Senior AI Engineer role building customer-facing AI features at the intersection of LLMs, distributed systems, and security. Responsibilities include architecting agentic workflows and LLM pipelines, integrating foundation models with attention to latency/cost/quality, owning projects end-to-end (monitoring and iteration), and leading architecture/code reviews. Tech stack: TypeScript/JavaScript, Go, AWS, Docker, Kubernetes, Terraform, ClickHouse, PostgreSQL. Compensation range provided: $160,000–$185,000 (base plus bonus). No immigration sponsorship for this position.

Entry-level Deep Learning Software Engineer role (New College Grad 2026) working on TensorRT and related inference frameworks. Requires a relevant degree, about 2 years of software development experience, strong C++ and Python skills, experience with DL frameworks (PyTorch/JAX/TensorFlow/ONNX) and inference libraries, and expertise in performance analysis and optimization for GPU-based inference.

Reddit seeks a Senior Staff Machine Learning Engineer to define and lead its GenAI Platform strategy and architecture, build features like a unified LLM Gateway, drive MLOps/LLMOps practices, and ensure observability, reliability, and scalability. Requires 10+ years of relevant experience and deep experience with Kubernetes, cloud platforms (e.g., AWS, Google Cloud Storage), Terraform, and languages such as Go and Python. Base salary range provided for US: $292,500–$409,500 USD/year.

Grafana Labs is hiring a Staff AI Engineer (remote, applicants in US time zones) to own AI agent infrastructure and an automation platform for GTM teams. Responsibilities include building multi-agent architectures, LLM integrations, RAG pipelines, backend APIs/CLIs/microservices (GCP/BigQuery/serverless), observability, governance, and self-service automation. Requirements include 8+ years software engineering, 2+ years applying LLMs in production, strong Python and Node.js skills, experience with orchestration frameworks and production monitoring, and familiarity with Google Cloud/BigQuery.

Join DuckDuckGo's Data Science team to drive product and business impact via statistical modeling, experiment design, Bayesian marketing analysis, classifier implementation, and production ML/NLP/LLM work. Role requires 7+ years' experience, production-grade Python, advanced SQL and familiarity with columnar databases (BigQuery, ClickHouse, Redshift, Druid). Position is remote with expected ~40 hours/week and at least two company travel events per year. Compensation is $178,500 USD annually plus stock options.

Join Reddit's Machine Learning Platform team to design, implement, and operate a large-scale GenAI platform and LLM Gateway. Responsibilities include building RAG applications (embeddings, vector search, retrieval), implementing agentic AI workflows (e.g., LangChain/LangGraph), driving MLOps/LLMOps practices (CI/CD, versioning, testing), and establishing observability/monitoring and governance for production GenAI pipelines. The role expects experience with cloud infrastructure (AWS, GCS), Kubernetes, infrastructure-as-code (Terraform), and strong proficiency in Python and/or Go.

DataCamp is hiring a Principal AI Engineer to design and build the core AI tutoring system that delivers real-time, adaptive learning. Responsibilities include prompt architecture, agentic workflows, rigorous experimentation and evaluation, productionizing model interactions, integrating AI with platform and content systems, and ensuring quality through monitoring, testing, and guardrails. The role requires experience building LLM-based systems (1+ years), strong software engineering skills (Python, cloud, CI/CD), and the ability to translate pedagogical goals into technical solutions. Locations listed: Belgium, Portugal, United Kingdom, United States (also Dubai provided as a location).

Role to design and deploy agentic AI finance platform and production automation (reconciliations, close, audit prep, treasury monitoring, reporting) while ensuring SOX-compliant controls, auditability, and governance. Hands-on building with Python, LLM APIs (Claude/Anthropic), workflow engines (n8n or equivalent), and agent coordination layers (MCP or similar). Involves discovery, architecture, integration with finance systems (NetSuite, BlackLine, Kyriba, Fireblocks, Lukka), training finance users, and measuring operational impact.

Senior/staff-level ML engineering role at Reddit focused on architecting, building, and deploying large-scale ML systems (recommendation, search, representation learning, LLM/GenAI). Responsible for driving technical strategy, cross-functional collaboration, mentoring engineers, and productionizing models using tools such as TensorFlow, PyTorch, Hugging Face, Python, and Go. Base salary range listed: $230,000–$322,000 USD per year.

Role to analyze and improve performance of NVIDIA's deep learning inference ecosystem (TensorRT, TensorRT-EdgeLLM, Torch-TensorRT). Responsibilities include benchmarking, performance analysis, implementing graph compiler algorithms, operators and code generators, and collaborating across teams. Requires a BS/MS/PhD or equivalent, at least 3 years' relevant software development experience, strong C++/Python skills, experience with DL frameworks and inference libraries, and performance optimization experience.

NVIDIA is hiring an Engineering Manager to lead and grow a team building production inference software for large and vision language models (LLM/VLM/VLA). The role requires hands-on technical leadership in kernel development, runtime and framework optimizations targeting NVIDIA GPU platforms, with strong experience in C++ or Python, LLM/VLM technologies, and at least 7 years of software engineering experience (3+ years technical leadership).

NVIDIA seeks a Principal Deep Learning Senior Engineer for end-to-end autonomous driving to design and train large-scale generative, imitation, and reinforcement learning models (LLM/VLM/VLA), integrate models with vehicle firmware, improve data generation strategies, and deploy production-grade ML systems. Requires strong Python and C++ skills, deep learning architecture knowledge, and extensive experience in AV/related fields (Master's +13 years or PhD +11 years).

Join Calendly’s Data Science & Machine Learning team to design, implement, and operate GenAI and ML-powered product features end-to-end. Requires 6+ years industry experience shipping production ML, expertise with foundation models (fine-tuning, prompt engineering), strong programming and data engineering skills, and experience with deployment pipelines, monitoring, and incident response. Candidates must be authorized to work in the United States.

Lead design and implementation of an end-to-end ML platform (model lifecycle, experiment tracking, model registries, serving) and develop graph ML codebases and pipelines at scale. Requires 8+ years in ML infrastructure with hands-on experience in distributed training, GPU optimization, cloud tools (GCP BigQuery, Google Cloud Storage), infrastructure-as-code (Terraform), MLOps tools (MLflow/Wandb), and frameworks such as Python, PyTorch, Ray, and Kubernetes. Base salary range listed: $230,000—$322,000 USD per year.