Technical lead for AI-focused full-stack projects at a nearshore staff augmentation firm. Role includes architectural decisions across backend (Python), frontend (React/Vue/Angular), data pipelines, agentic workflows and LLM integrations (RAG, LangChain/LlamaIndex). Requires 7+ years software development experience with 2+ years in technical leadership. Position is fully remote and works with U.S. clients; compensation stated as competitive in USD (no numeric salary provided).

Reddit is hiring a Senior Staff Machine Learning Engineer to define and accelerate the use of agentic AI to improve model quality and development velocity. Responsibilities include developing ML models and agentic workflows, using tools such as Claude and Cursor, building evaluation harnesses, and partnering with product, data science, ML infra, and engineering teams. Requires 9+ years of relevant experience, strong Python and ML framework fluency, deep modeling expertise, and senior-level technical leadership. Listed base salary range: $292,500–$409,500 USD (annual).

Lead architecture and implementation to make CUDA-X math library APIs LLM-first and agent-friendly. Work with stakeholders to deliver LLM-enhanced releases, build metrics and tooling for code generation quality, and prototype solutions to represent math library APIs for codegen tools. Requires 3+ years' experience and strong familiarity with LLMs, API design, and CUDA-X math libraries.

Join NVIDIA to build software infrastructure for AI-enabled materials and chemistry discovery, developing features in NVIDIA ALCHEMI, integrating material science applications with AI surrogates, and running performance benchmarks. The role requires a PhD or equivalent experience in a relevant field and 8+ years working on high-performance numerical methods and material science simulations; proficiency in Fortran, C++, CUDA and Python is listed.

NVIDIA is hiring a Principal Software Architect (Networking) to design next-generation scale-up fabrics and collaborative communication for AI data-centers. Responsibilities include architecting scalable, reliable solutions for large-model training, working with hardware/software/application teams, and taking concepts to production. Requires 6+ years in software architecture and networking, a bachelor’s degree or equivalent, strong AI applied research expertise, and leadership experience. Posted salary ranges from 184,000 USD to 356,500 USD per year (levels and ranges specified in posting).

Contract role at 66degrees responsible for AI/ML security operations, incident response, playbook development, detection engineering, and AI governance. Tasks include securing generative AI systems and LLMs, developing mitigations for prompt injection, model poisoning, data exfiltration, and adversarial attacks, and collaborating with IT and AI/ML teams. Employer cannot sponsor or transfer visas.

DigitalOcean seeks a Principal Engineer, AI/ML Security to define and drive AI security strategy and roadmap, perform adversarial ML testing and red teaming, review AI product architectures, build detection/guardrail tooling, and establish AI risk and governance. Requires 10+ years in cybersecurity with 4–5 years focused on AI/ML security, strong Python and Go experience, hands-on adversarial ML knowledge, and familiarity with frameworks like OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, and the EU AI Act.

Sysdig is hiring a Staff AI Platform Engineer to own the Bedrock runtime, MCP fleet and registry, and the agent-hosting substrate. Responsible for AWS infrastructure (IAM, ECS/Lambda, CloudWatch, VPC), CI/CD and containerized deployments, LLM integrations (APIs, prompt engineering, agent development), telemetry (Bedrock-to-Snowflake), and governance including model pinning, quota/cost management, and least-privilege controls. Requires 6+ years of relevant engineering experience.

Lead architect/engineer responsible for designing, implementing, and productionizing scalable generative AI and agentic AI solutions. Requires 8+ years of experience, deep knowledge of LLMs and Transformers, expert prompt engineering and RAG implementation, strong Python and ML libraries (PyTorch/TensorFlow, Hugging Face, LangChain ecosystem), experience with vector databases and cloud-managed ML services (Azure/AWS), and production experience exposing APIs (FastAPI) and using ORMs. Responsibilities include solution architecture, design reviews, POCs, and collaborating with product and engineering teams to deliver enterprise-grade GenAI systems.

Chainguard seeks a Staff Software Engineer on the Package and Image Automation team to design and build the automation platform that orchestrates package creation, test generation, and image building. The role requires strong Go expertise, experience integrating LLMs/agentic workflows, deep Linux and build-system knowledge, and familiarity with container ecosystems (Docker/OCI/Kubernetes). Candidates should be based in the US or Canada and have 7+ years of software engineering experience.

Chainguard is hiring a Senior Software Engineer for its Sustaining Automation team to design and build automation that orchestrates package creation, test generation, and image building. The role requires 5+ years of experience, strong Go expertise, LLM/AI integration experience, deep Linux and build-systems knowledge, and container ecosystem familiarity; candidates should be based in the US or Canada.

NVIDIA seeks a Senior High Performance AI Engineer to build agentic AI systems across models, multi-agent architectures, runtimes, compilers, and GPUs. The role requires strong C/C++, Rust, and Python skills, GPU/CUDA experience, and at least 4 years of relevant industry or academic experience in AI systems, ML, compilers, or high-performance computing. Responsibilities include building agent architectures, training/evaluation systems, and co-designing software across NVIDIA's hardware and software stack.

NVIDIA seeks a Senior AI Infrastructure Solutions Architect to support Public Sector customers through the lifecycle of large GPU cluster deployments. Responsibilities include network and compute architecture guidance, on-site bring-up, debugging and performance tuning, customer technical leadership, collaboration with partners/OEMs and NVIDIA product/engineering teams. Requires 6+ years in solution/sales engineering, experience with HPC networking, schedulers (e.g., SLURM), benchmarking tools (HPL, NCCL, MLPerf), Kubernetes, and willingness to travel up to 20%.

Role requires owning the technical design and delivery of multi-component AI systems across Mapbox product areas, building evaluation systems for non-deterministic behavior, and implementing data pipelines (ingestion, conflation, entity resolution, batch/streaming). Candidate should have 5+ years software engineering experience, 2+ years shipping LLM-backed features, strong Python or TypeScript skills, SQL and distributed processing experience, and experience with tool calling/agent orchestration and on-call rotations.

Senior-level software engineer responsible for owning technical design and delivery of multi-component AI systems across Mapbox teams. Responsibilities include building evaluation frameworks for non-deterministic systems, shipping LLM-backed features, developing data pipelines (ingestion, conflation, entity resolution, batch/streaming), instrumenting systems for reliability, and participating in on-call rotations. Geospatial and voice pipeline experience, API/SDK design, and MCP familiarity are listed as nice-to-have.

Lead technical direction for the Duo Agent Platform, build reliable orchestration for agents and flows (session lifecycle, tool invocation, concurrency, retries, timeouts), ensure support across GitLab.com, Dedicated, and Self-Managed (including self-hosted models), define evaluation and benchmarking practices, and design governance/safety controls. Role is hands-on, involves cross-team alignment, mentoring, and participating in incident on-call. Requires 8+ years software engineering experience with hands-on LLM/agent experience. Remote in Canada, Poland, United Kingdom, and United States (locations listed in posting).

Sysdig is hiring a Staff AI Platform Engineer to drive the Bedrock runtime and gateway configuration, operate and secure MCP servers and registry, define platform standards and governance, and build AI/agent automations. Requires 6+ years experience, hands-on AWS (IAM, ECS or Lambda, CloudWatch, VPC), full-stack/CI/CD/container skills, and experience with LLM APIs and prompt engineering. Role is based in San Francisco; U.S. salary range provided.

DoiT seeks a Senior Full-Stack Engineer to lead its AI cost visibility product end-to-end. The role involves building Go backend services, TypeScript/React frontends, API-first design, and working with large cost/usage datasets on public cloud (GCP preferred, BigQuery). Requires 7+ years professional software engineering experience, strong Go and React/TypeScript skills, SQL/analytical-store proficiency, and fluent English. Remote full-time for candidates based in the UK, Ireland, Estonia, the Netherlands, Sweden, Israel, or Portugal (contractor options noted for some Eastern Europe locations).

DoiT is hiring a Senior Full-Stack Engineer to lead development of an AI cost visibility product. The role requires owning features end-to-end, strong Go and TypeScript/React experience, SQL/analytical store proficiency (e.g., BigQuery), and experience with public cloud (GCP preferred). The position is remote and available to employees in several European and EMEA countries listed in the description.

Work on backend services and APIs to integrate AI/model providers for GitHub Copilot, delivering end-to-end features and operating production systems. Responsibilities include design, implementation, testing, deployment, observability, reliability improvements, progressive delivery, incident response, and cross-team collaboration. Requires experience developing and running cloud-native, high-availability services and familiarity with model/provider integrations.