Top Tech Jobs & Startup Jobs in NYC, NY

Own Uzbek Cyrillic language quality for UI, marketing, product, legal, informational, and support content. Serve as the primary client-facing linguistic expert, interpret style guides and quality frameworks, manage arbitrations and escalations, coach reviewers, facilitate alignment sessions, track quality trends, and convert recurring issues into style guide improvements. The role is remote freelance work of approximately 24 hours per month for candidates in approved countries.

Build and manage GCP infrastructure for enterprise cloud migrations using Terraform, including networking, compute, storage, IAM, security, and hybrid connectivity. Configure and harden Windows Server and IIS environments with Ansible, maintain CI/CD pipelines, and support application, SQL Server, caching, and messaging migrations. Troubleshoot infrastructure and application connectivity, implement monitoring and logging, collaborate with architects and client teams, support cutovers, and document operational procedures.

General talent-network posting inviting engineers, designers, commissioning specialists, and other professionals to share their skills and career interests. The company will contact candidates when a future opportunity aligns with their background. No specific responsibilities, qualifications, technologies, compensation, or work location are provided.

Design and build a production-grade AI memory and retrieval engine for personalized, privacy-preserving LLM experiences. Responsibilities include developing multi-tier storage and hybrid retrieval pipelines, memory extraction and classification, adaptive updates, evaluation frameworks, and reliability safeguards. The role researches advanced memory architectures, supports agentic workflows and tool integrations, collaborates with product management, and owns production operations. Strong software engineering, Python, NLP/ML, vector database, LLM orchestration, privacy, and RAG expertise are required.

Owns ServiceNow Automated Test Framework coverage for releases, upgrades, features, and configuration changes. Designs, maintains, and executes automated regression suites; integrates testing with CI/CD and DevOps workflows; troubleshoots failures; manages test data and environments; translates requirements into test scenarios; reports coverage and release-readiness metrics; and performs manual testing when automation is unsuitable. Collaborates with developers, business analysts, and release managers in Agile environments.

Participate in a 60-minute remote, recorded interview about user research workflows, tooling, participant management, data handling, synthesis, and process bottlenecks. Discuss a recent research project, current tools, workflow challenges, and ideal features for future research platforms. Applicants should be practicing user, UX, or design researchers, or product professionals who regularly conduct user research.

Supports the design, testing, launch, and scaling of marketplace programs. Builds tools and frameworks, develops analytical insights, and collaborates with product, marketing, data science, finance, and operations teams to remove obstacles and improve program outcomes. The role requires operational rigor, marketplace knowledge, strong analytics, cross-functional execution, organization, and comfort working in ambiguous early-stage environments.

Leads the architecture and development of Java-based enterprise applications, microservices, REST APIs, and cloud solutions on AWS. Develops applied generative AI solutions using LLMs, RAG, fine-tuning, prompt engineering, and managed platforms such as AWS Bedrock. Guides application design, deployment, security, monitoring, performance, and technical implementation while collaborating with project teams. The role is fully onsite in McLean, Virginia and requires extensive experience with modern Java, cloud-native technologies, containers, UI frameworks, and AI development.

Build and scale secure data lakehouse and warehouse infrastructure supporting analytics, machine learning, clinical AI performance monitoring, and self-service insights. Develop scalable data pipelines, models, orchestration, quality controls, and LLM-enabled analytics tools using heterogeneous clinical and EHR data. Collaborate with engineering, data science, clinical, product, and client success teams to establish trustworthy metrics and technical solutions.

Drive new business for an on-demand pay solution by prospecting, demonstrating product value, negotiating and closing deals, and collaborating with marketing, product, and customer success to ensure client satisfaction and retention.