AI Jobs

Benefits:

• Medical insurance

Benefits:

• Daily team lunches + fully stocked snacks

• Full medical, dental, and vision insurance

• A young, open, and inclusive culture

• Hybrid-friendly setup in NYC and Tel Aviv

• Generous time off to rest and recharge

Experience Requirements:

• 2–5 years of professional front-end engineering experience

• Experience building applications in Next.js (SSR, API routes, routing)

• Experience integrating authentication systems (Auth0 or similar) and RBAC

• Experience working with production deployment workflows and Git

• Strong product intuition and attention to detail

Other Requirements:

• Based in NYC or open to relocating

• Ability to thrive in a fast-paced startup environment

• Experience with MongoDB, Snowflake, or analytics-heavy applications (Nice to have)

• Familiarity with Stripe billing flows (Nice to have)

Responsibilities:

• Build and maintain production-grade features using TypeScript and React

• Integrate with RESTful API routes in Next.js and backend services

• Implement secure authentication and authorization flows

• Develop billing and subscription experiences integrated with Stripe

Experience Requirements:

• 3+ years of software engineering experience

• Experience in customer-facing, consulting, or partner-focused roles

• Obsession with AI ecosystem and modern agent stack

• Deep understanding of agent architectures, RAG, LLMs, and context engineering

• Strong interpersonal skills and comfort working with technical stakeholders

Other Requirements:

• Based in New York City, Austin, SF, or willing to relocate

• Fast learner and highly autonomous

Responsibilities:

• Work directly with customers to build custom integrations using Tavily's API

• Participate in pre-sales efforts, technical discovery, and POC scoping

• Design and implement prototypes and production-ready systems with client teams

• Monitor API usage patterns and recommend improvements

• Collaborate with internal teams to influence roadmap priorities

Benefits:

• Full ownership

• Real scaling challenges

• AI-native company

• NYC-based office setup

Experience Requirements:

• ~3+ years in a DevOps or platform engineering role

• Proven experience designing and operating large-scale, distributed systems

• Strong Kubernetes experience in a managed cloud environment

• Proficiency with infrastructure as code (Terraform or similar)

• Experience with GitOps-based deployment workflows

Other Requirements:

• Built or maintained observability stacks

• Experience handling production incidents calmly and methodically

• Multi-region deployments (Nice to have)

• Search infrastructure (Nice to have)

• Data pipeline experience (Nice to have)

Responsibilities:

• Managing Kubernetes clusters across multiple environments and regions

• Owning infrastructure as code for all resources

• Maintaining and improving CI/CD pipelines and GitOps-based deployments

• Maintaining and optimize real-time data pipelines processing billions of events

• Building out monitoring, alerting, and observability

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Education Requirements:

• A bachelor's degree in computer science, Engineering, or related technical field

Experience Requirements:

• 5+ years of program/technical program management experience

• Strong technical literacy with engineering engagement

• Proven track record driving cross-functional programs

• Experience with agile/lean delivery frameworks

• Familiarity with V2MOM framework or similar methodologies

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Lead complex, multi-team programs

• Define and drive program roadmaps

• Own all aspects of technical program management

• Serve as primary technical program point of contact

• Manage risks, issues, and actions

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Education Requirements:

• Bachelor's degree or equivalent practical experience

Experience Requirements:

• 3-5 years of experience in product management

• 2 years of experience within artificial intelligence or Machine Learning

• Demonstrated experience leading product or enterprise communications

• Experience with coding/engineering fundamentals

• Deep knowledge of machine learning, AI, and GenAI

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Own the NL2SQL initiative in partnership with Research

• Ensure core generative and RAG services are portable-ready

• Partner with orchestration tool for compatibility

• Define how we operationalize Model Context Protocol

• Own the health, reliability, and evolution of RAG services

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Experience Requirements:

• 5–7 years of progressive FP&A or financial analytics experience

• 2+ years at B2B SaaS companies

• SQL proficiency required

• Advanced Excel skills including financial modeling

• Solid understanding of GL structure and accounting fundamentals

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Manage complex models for forecasting and budgeting

• Build and own data pipelines and KPI reporting infrastructure

• Assist in financial planning as key FP&A partner

• Produce variance analysis with actionable commentary

• Own department-level budget vs. actual reporting

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Education Requirements:

• Bachelor's degree with 3 years experience

• Master's degree with 1 year experience

• Ph.D. without experience

• Equivalent work experience

Experience Requirements:

• Working knowledge of micro-service architectures

• Experience with API protocols and patterns

• Infrastructure as Code experience with Terraform

• Coding experience in Golang, Python, TypeScript

• Awareness/Familiarity with current LLM AI infrastructure

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Work closely with peers to design & code robust scalable components

• Apply architecture and design principles holistically

• Provide focus on DevOps use-cases and workflows

• Drive decisions through a crisp decision-making process

• Analyze criteria and options to answer key questions

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Experience Requirements:

• 8+ years for Senior, 12+ years for Staff

• Proven experience building distributed systems at 100M+ scale

• Deep knowledge of parallel and distributed computing concepts

• Hands-on experience with vector databases

• Proficiency in systems programming languages such as C++, Go, or Rust

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Design GPU resource allocation and scheduling

• Build and operate GPU clusters for production inference

• Profile and optimize GPU-based inference pipelines

• Establish performance benchmarking framework

• Design and implement distributed ingestion pipeline

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Education Requirements:

• Bachelor’s degree

Experience Requirements:

• Minimum of 5 years of related experience

• Coding experience in Golang and Python

• Working knowledge of micro-service architectures

• Understanding of service mesh frameworks (Istio) and container systems (Docker)

• Working knowledge of Relational and NoSQL databases

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Work closely with peers to design & code robust scalable components

• Apply architecture and design principles holistically

• Provide focus on DevOps and MLOps use-cases and workflows

• Build automated pipelines for ML model training, evaluation and deployment

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Education Requirements:

• Masters or higher degree in Computer Science, Machine Learning, or related field

• Bachelors degree with relevant work experience

Experience Requirements:

• 5+ years of industry experience

• Technical leadership experience a plus

• Experience in TypeScript

• Demonstrated knowledge of Golang, Python, and SQL

• Experience with developing large-scale micro-service oriented solutions

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Build a secure, stable, and scalable platform for systems of record

• Improve data ingestion systems for IR and QA systems

• Enable IR systems to scale to very large collections of documents

• Enable new generation of AI-driven applications

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Experience Requirements:

• Good understanding of the AI landscape

• Hands-on experience with LLMs, Vector Databases, and RAG

• Experience with Agent builders

• Proficiency with REST/GQL APIs

• Experience with cloud-native architectures (Kubernetes)

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Deliver proof of value through technical integration

• Proactively sandbox and test emerging partner technologies

• Create reference architectures and technical blog posts

• Act as a feedback loop between partner ecosystem and internal teams

• Architect technical solutions leveraging partner capabilities

Benefits:

• Offers Equity

Education Requirements:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or related field

Experience Requirements:

• 4+ years of hands-on ML compiler or systems engineering experience

• Demonstrated experience building and owning an end-to-end compiler stack

• Experience working with machine learning models, neural network graphs, and graph optimizations

• Comfortable collaborating with hardware teams to map novel architectural primitives

• Strong understanding of compiler performance trade-offs, profiling, and bottleneck analysis

Responsibilities:

• Work across the full stack with software, systems, and hardware teams

• Contribute to shaping the long-term compiler architecture and tooling strategy

• Design and implement parts of the compiler stack targeting our novel AI accelerator

• Build and evolve MLIR/LLVM based infrastructure

• Collaborate closely with hardware architects, microarchitects, and research teams

Benefits:

• Offers Equity

Experience Requirements:

• 5-8 years of frontend software engineering experience

• Strong frontend coding skills in TypeScript and React

• Experience crafting complex user experiences with a strong intuition for design

• Experience working with LLMs or building AI-powered applications

• Proven ability to learn continuously and work independently

Responsibilities:

• Building complete, integrated prototypes that bring AI capabilities to life

• Architecting and developing interactive workflow UIs

• Collaborating closely with product designers to ensure interface quality

• Owning APIs and orchestration patterns connecting frontends with ML services

• Partnering with ML researchers and users to translate requirements into features

Benefits:

• Offers Equity

Experience Requirements:

• 5-8 years of software engineering experience

• Experience building complex systems with a focus on reliability and performance

• Experience working with LLMs or building AI-powered applications

• Proven ability to learn continuously and work independently

• Skill and comfort working in a constantly evolving environment

Responsibilities:

• Building complete, integrated prototypes that bring AI capabilities to life

• Architecting and developing backend systems that support complex verification workflows

• Owning API contracts between frontend and backend systems

• Driving engineering roadmaps in collaboration with researchers and product managers

Benefits:

• Offers Equity

Experience Requirements:

• Previous experience delivering production AI systems involving language models

• Solid software engineering skills with experience in distributed systems

• Proficiency in Python and modern ML frameworks (PyTorch, Hugging Face)

• Hands-on experience with prompt engineering, fine-tuning, and deploying LLMs

• Ability to wrangle, clean, and preprocess large-scale datasets

Responsibilities:

• Lead end-to-end AI development from initial concept through production deployment

• Design and implement LLM-powered solutions for technical documents

• Handle multi-modal complexity and explore multi-agent and RL approaches

• Design strategies to manage latency, output variance, and error handling

• Collaborate with product and engineering teams to embed AI capabilities

Benefits:

• Offers Equity

Education Requirements:

• PhD in CS/AI/ML (or equivalent research experience)

Experience Requirements:

• Strong Python and ML framework experience (PyTorch preferred)

• Demonstrated ability to turn research into working systems

• Experience designing eval harnesses and success metrics for agentic tasks

• Comfortable with data acquisition and curation from documents/logs

• Reproducibility mindset (tests, seeds, configs, logging)

Responsibilities:

• Design and implement multi-agent and RL approaches for code generation

• Build research prototypes that integrate with nectar

• Create evaluation suites including task specs and cost/latency dashboards

• Acquire and curate datasets from PDFs/logs/tables

• Analyze experiments with disciplined ablations and document results

Benefits:

• Offers Equity

Experience Requirements:

• 5+ years of experience in Digital Verification at a major semiconductor or EDA tool company

• Advanced proficiency in SystemVerilog and UVM methodology

• Proficiency in EDA verification tools (vManager, Xcelium, Jasper)

• Proficiency and application of Python or Perl scripting

• Proven expertise in end-to-end design verification flow

Responsibilities:

• Review AI-generated collateral to help shape product strategy

• Provide design verification for internal hardware projects

• Set up and evaluate EDA tools for internal usability

• Create testbench environments, assertions, and coverage from design documents

• Curate and annotate datasets for chip specification association

Benefits:

• Offers Equity

Education Requirements:

• Technical background (CS/ EE background or similar technical field)

Experience Requirements:

• Experience in enterprise B2B product at a high-growth technology company

• Management consulting experience at a top-tier consulting firm

• Exceptional written and verbal communication skills

• Executive presence and strong business judgment

• Entrepreneurial sense of ownership for overall team and product success

Responsibilities:

• Be the product leader for our most critical customers

• Act as a trusted thought partner for senior customer leadership

• Lead opportunity discovery and identify where Normal can shift outcomes

• Distill customer insight into structured product direction and prioritization

• Scale successful engagements into repeatable patterns and platform capabilities

Benefits:

• Offers Equity

Experience Requirements:

• 5+ years of experience in communications, content strategy, or technical writing

• Outstanding writing and editing skills

• Ability to rapidly learn new domains like semiconductor hardware and thermodynamic computing

• Versatility to adapt writing style for different formats and audiences

• Meticulous eye for detail and commitment to accuracy

Other Requirements:

• Willingness to travel up to 25% of the time

Responsibilities:

• Create high-quality external content including blog posts and whitepapers

• Produce deep-dive technical narratives collaborating with engineers

• Prepare keynote speeches and slide decks for high-profile events

• Coordinate content for integrated marketing campaigns

• Review and edit written material to maintain unified voice and brand style