AI Jobs

Benefits:

• Competitive compensation package

• Hybrid work flexibility

• Personal development in a company that cares about learning

• Mentorship & Education opportunities

• Modern tech stack and tools

Experience Requirements:

• Strong frontend development expertise

• Proven experience across both frontend and backend development

• Familiarity with various programming languages and frameworks

• Experience working on scalable, high-quality applications

Other Requirements:

• A hands-on, problem-solving attitude with a commitment to high standards

• Comfortable with iterative development processes and working within a fast-paced environment

Responsibilities:

• Transform product ideas into beautiful, functional interfaces

• Collaborate with the founding team to define, design, and ship new features

• Take ownership of our frontend, while at the same time being able to execute on fullstack tasks

• Contribute to Juma’s technical architecture

• Participate in all phases of the development lifecycle

Benefits:

• Competitive compensation package

• Hybrid work flexibility

• Personal development in a company that cares about learning

• Mentorship & learning opportunities

• Modern tech stack and tools

Experience Requirements:

• Solid experience in NextJS, React, NodeJS, PostgreSQL, and Docker

• Experience with Tailwind, tRPC, and Langchain

• Knowledge of Zod is not mandatory, but it adds a cherry on top

• Startup Mindset

Other Requirements:

• Fluent English language skills

• Self-Starter

Responsibilities:

• Creating innovative experiences

• Keeping up with every new trend in web technologies

• Ready to take on projects independently

• Ability to function as part of our vibrant, dynamic team

Education Requirements:

• M.Sc. in Computer Science, Data Science, or a related technical field

• B.Sc. with 3+ years of hands-on experience in AI/ML applications

• PhD in Computer Science (Nice to Have)

Experience Requirements:

• 3+ years of hands-on experience in AI/ML applications (if B.Sc.)

• Strong understanding of LLMs, embeddings, cross-encoders, vector search

• Experience running experiments and analyzing results with rigor

• Experience in a fast-paced startup (Nice to Have)

• Paper publications in conferences (Nice to Have)

Other Requirements:

• Familiarity with open-source libraries, models and research environments

• Ability to translate ideas into prototypes and iterate quickly

Responsibilities:

• Be the expert in the latest research and tooling around LLMs and RAG

• Develop benchmarks and evaluation frameworks

• Productionize research and build end-to-end reliable systems

• Contribute to internal research documentation

• Stay up to date on academic and open-source developments

Education Requirements:

• Degree in Computer Science, Statistics, Engineering, or a related quantitative field

Experience Requirements:

• 3+ years of professional experience as a Data Engineer

• Proficiency in Python

• Experience with relational databases (SQL) and NoSQL databases

• Experience with AWS and their data services

• Experience with big data technologies (Preferred)

Other Requirements:

• Experience with Mongo/Snowflake/Redis/S3

• Experience with Airflow

• Familiarity with containerization and orchestration tools

• Knowledge of data governance and data security

Responsibilities:

• Design, build, and maintain efficient and reliable ETL/ELT pipelines

• Develop and improve data infrastructure

• Ensure data quality, integrity, and security across all platforms

• Optimize data systems for performance and scalability

• Troubleshoot and resolve issues related to data pipelines

Benefits:

• Young, open, and inclusive culture

• Chance to build at the forefront of agentic AI

• Full medical and dental coverage

• Deep-work culture

• Monthly Cibus

Experience Requirements:

• 3+ years of experience in QA Engineering

• Strong emphasis on backend/API testing

• Hands-on experience with test automation frameworks

• Experience testing distributed systems, microservices, or data pipelines

• Familiarity with AI/ML systems

Other Requirements:

• Strong understanding of REST APIs

• Experience with CI/CD pipelines

• Familiarity with cloud environments (AWS preferred)

• Excellent communication in English

Responsibilities:

• Design and execute test strategies for search API and content extraction

• Build and maintain automated testing frameworks

• Develop testing approaches for non-deterministic AI outputs

• Create performance and load testing suites

• Collaborate with developers to implement CI/CD quality gates

Benefits:

• Young, open, and inclusive culture

• Chance to build at the forefront of agentic AI

• Daily team lunches + fully stocked snacks

• Full medical, dental, and vision insurance

• Generous time off

Experience Requirements:

• 2–5 years of professional software engineering experience

• Strong backend development skills (Python, Go, C++)

• Experience designing and operating large-scale distributed systems

• Hands-on expertise with AWS infrastructure

• Experience building RAG workflows (Nice to Have)

Other Requirements:

• Based in NYC or open to relocating

• Curiosity about LLMs and retrieval

• Familiarity with DevOps practices

• Background in frontend or full stack (Nice to Have)

Responsibilities:

• Build fast, reliable, and scalable systems for LLM workflows

• Design and implement backend infrastructure and API endpoints

• Collaborate closely with product to iterate on features

• Improve performance, monitoring, and reliability

• Own core systems and contribute to architectural decisions

Experience Requirements:

• 2+ years of professional software engineering experience

• Strong backend development skills (Python, Go, C++)

• Designing and operating high-throughput, low-latency infrastructure

• Hands-on expertise with AWS infrastructure

• Experience with performance optimization

Other Requirements:

• Comfortable in a fast-paced startup environment

• Curiosity about LLMs and the future of AI

• Familiarity with Kubernetes orchestration

Responsibilities:

• Build systems for real-time LLM workflows

• Design and implement backend infrastructure

• Iterate on features with the product team

• Improve performance, monitoring, and reliability

• Shape a strong engineering culture

Benefits:

• Young, open, and inclusive culture

• Chance to build at the forefront of agentic AI

• Daily team lunches

• Full medical, dental, and vision insurance

• Deep-work culture

Experience Requirements:

• 5+ years in technical, customer-facing roles

• Experience with developer tools or AI/LLM platforms

• Experience managing renewal cycles and forecasting

• Experience using CRM tools like HubSpot or Salesforce

Other Requirements:

• Outstanding communication and presentation skills

• Deep empathy for customer outcomes

• Self-driven and able to thrive in ambiguous environments

• Familiarity with LangChain (Bonus)

Responsibilities:

• Act as a technical and commercial advisor

• Lead onboarding engagements

• Develop and deliver scalable onboarding materials

• Monitor customer health and usage metrics

• Drive renewals and expansion

Benefits:

• Young, open, and inclusive culture

• Chance to build at the forefront of agentic AI

• Daily team lunches

• Full medical, dental, and vision insurance

• Deep-work culture

Experience Requirements:

• 1–2 years of Sales, SDR, Analytics or Computer Science experience

• Open to exceptional entry-level candidates

Other Requirements:

• Resilient and energized by building relationships

• Genuinely curious about AI

• Ability to balance high-volume outreach with experimentation

Responsibilities:

• Follow up with inbound and outbound prospects

• Build a deep understanding of Tavily’s ICP

• Qualify opportunities and book meetings

• Provide structured feedback to help improve the product

Benefits:

• Young, open, and inclusive culture

• Chance to build at the forefront of agentic AI

• Daily team lunches

• Comprehensive medical, dental, and vision insurance

• Deep-work culture

Experience Requirements:

• 1–2 years of Sales, SDR, Analytics or Computer Science experience

• Open to exceptional entry-level candidates

Other Requirements:

• In NYC and excited about an in-person office environment

• Resilient and energized by building relationships

• Genuinely curious about AI

Responsibilities:

• Follow up with inbound and outbound prospects

• Build a deep understanding of Tavily’s ICP

• Qualify opportunities and book meetings

• Provide structured feedback on signals and workflows

Benefits:

• Young, open, and inclusive culture

• Opportunity to build at the forefront of AI

• Meal stipend

• Full medical, dental, and vision insurance

• Deep-work culture

Experience Requirements:

• 1-3+ years of experience in an EA, operations, or similar role

• Experience working with founders (Nice to Have)

• Startup or tech environment experience (Nice to Have)

Other Requirements:

• High level of discretion, ownership, and attention to detail

• High level of availability and flexibility

• Excellent written and verbal communication

Responsibilities:

• Partner closely with the CEO on priorities

• Manage complex scheduling and meetings

• Support planning and preparation across leadership activities

• Act as a point of contact for stakeholders

• Keep priorities organized in a fast-paced environment

Benefits:

• Young, open, and inclusive culture

• Opportunity to build at the forefront of AI

• Daily team lunches

• Deep-work culture

Education Requirements:

• LL.B. or equivalent law degree from a top-tier university

• Bar admission in the U.S., EU or Israel

Experience Requirements:

• 3 to 6 years experience post internship

• Experience at both leading law firm and as in-house counsel

• Drafting and negotiating technology commercial agreements

• Experience with global privacy regulations (GDPR, CPRA)

• Experience with U.S. copyright and intellectual property laws

Other Requirements:

• Exceptional attention to details

• Familiarity with global AI regulations (Advantage)

• Experience in corporate or employment law (Advantage)

Responsibilities:

• Draft and negotiate commercial agreements

• Support and enhance privacy and data protection program

• Review and negotiate DPAs

• Partner with Product and R&D on legal needs

• Draft employment-related documents

Other Requirements:

• Link to portfolio required

• Consent to the recording of meetings and transcription during interactions

• Consent to qualifications and skills assessment for this and future roles

Benefits:

• Competitive salary

• Hybrid work schedule

• Clear growth path into Customer Success, Operations, or Account Management

• Health insurance

• Dental insurance

Experience Requirements:

• 2–3 years of experience in a customer service, support, or client-facing role

• Familiarity with customer support tools, ticketing systems, or CRMs

• Experience working with SaaS applications, marketplace, or online platform environment is a plus

Other Requirements:

• Strong written and verbal communication skills

• Organized, detail-oriented, and reliable

• Comfortable multitasking in a fast-paced environment

• Ability to follow processes while learning when to escalate issues

Responsibilities:

• Respond to customer inquiries and support requests in a timely and professional manner

• Assist the Customer Success Manager with resolving customer issues

• Track and document customer issues, feedback, and resolutions

• Escalate technical or complex issues to the appropriate internal teams

• Help monitor customer feedback and flag recurring issues or trends

Experience Requirements:

• 7–12 years of experience in operations

• 3+ years in a senior-level or team lead capacity

• Background in SaaS, digital marketplaces, or high-volume transactional platforms

• Proven success managing cross-functional ops

• Familiarity with tools like Intercom, Stripe, ClickUp, or equivalent systems

Other Requirements:

• Experience with selling products or software directly to customers online

• Excellent judgment in fast-paced, high-stakes operational decisions

• Analytical mindset with comfort in process design, automation, and continuous improvement

Responsibilities:

• Oversee Daily Marketplace Operations

• Manage and Optimize Support Systems

• Coordinate Digital Product Delivery

• Collaborate with Product & Engineering

• Monitor Risk, Fraud, and Compliance

Benefits:

• Competitive salary

• Startup equity & extended exercise window

• Private healthcare plans

• 25 days annual leave

• Home office setup

Experience Requirements:

• 1-3 years of development experience

• Strong foundation in at least one programming language (Python, JavaScript, or similar)

• Experience with web development frameworks

• Basic understanding of APIs and database systems

• Interest in AI/ML technologies

Other Requirements:

• Startup mentality - scrappy, adaptable, and eager to learn

• Strong problem-solving skills

• Excellent communication and collaboration abilities

• Passion for building products that solve real problems

• Experience with customer-facing applications (preferred)

Responsibilities:

• Build and enhance features across our AI platform, from chat interfaces to backend integrations

• Develop connections with communication platforms like WhatsApp, Messenger, and email systems

• Assist with implementing and optimizing our Relationship Language Model

• Write tests and ensure code quality across our rapidly growing codebase

• Work on features that directly improve customer experience and business outcomes

Benefits:

• Competitive compensation

• benefits

• career development opportunities.

• Opportunity to make an impact and grow your career in a high-growth SaaS environment

• Remote role with occasional travel

Experience Requirements:

• Proven success in partner account management with enterprise SaaS and managed services

• Skilled in solution selling and delivering executive-level presentations with a dynamic presence.

• Ability to design and execute detailed relationship plans across large sales organizations.

• Strong collaboration skills and experience working cross-functionally.

• Proficiency with Microsoft 365, Salesforce CRM, and analytics tools.

Other Requirements:

• Highly organized and effective in a fast-paced, results-driven environment.

• Experience working with TELUS, Rogers, Bell or global carriers (e.g., AT&T).

• TEM/mobility lifecycle domain knowledge; ServiceNow/Workday familiarity; FinOps exposure

• Bilingual (EN/FR) a plus.

Responsibilities:

• Engage with partner sales teams and solution experts at Rogers, Bell, TELUS, and other strategic partners to drive joint go-to-market success.

• Generate highly qualified new opportunities through proactive collaboration and strategic planning.

• Partner with Enterprise sales professionals and solution experts to deliver compelling solutions and close business.

Education Requirements:

• CS, Math, or Engineering degree or equivalent experience

Experience Requirements:

• Quality experience building production AI/ML systems—deploying models at scale, ideally in complex, data-intensive domains

• Deep experience with modern agent frameworks, LLMs, and AI systems: fine-tuning, retrieval augmentation, tool use, or agentic architectures

• Comfort working end-to-end: from implementing research ideas and prototyping architectures to deploying production systems and iterating on real customer feedback

• Ability to move between abstraction levels—designing high-level agent workflows while debugging low-level implementation details

Other Requirements:

• Strong algorithmic thinking. Demonstrated through ML research, competitive programming, mathematics, or building novel systems from scratch

Responsibilities:

• Design and implement agent architectures that enable observability, human-in-the-loop verification, and precise context control across complex financial workflows

• Build library learning systems that reduce LLM dependencies by learning reusable patterns for planning, code generation, and data localization from customer interactions

• Create graph-based company representations and develop efficient search methods using embeddings, semantic clustering, and custom retrieval strategies

• Build multi-modal parsers that unify diverse financial data sources (Excel, ERPs, CRMs) into coherent, queryable schemas that agents can reason over

• Implement RL and fine-tuning pipelines based on user feedback, pairwise preferences, and implicit interaction signals to improve agent performance over time

Education Requirements:

• CS degree or equivalent experience

Experience Requirements:

• Quality experience building production infrastructure for high-throughput, performance-critical workloads

• Deep experience with data + database systems: internals, optimization, scalable schema design, and modeling complex domains

• Strong systems instincts—distributed systems, concurrency, fault tolerance, and performance tuning

• Experience running cloud infra in production with modern tooling + strong observability habits

• Comfort spanning layers: storage compute APIs deployment

Responsibilities:

• Build highly concurrent systems that process thousands of user requests simultaneously while scheduling and optimizing response times across multiple model endpoints

• Design and implement core database architecture to handle complex enterprise data models and our novel company representations at scale

• Create efficient ETL pipelines and integration layers that transform diverse financial data sources (ERPs, CRMs, Excel) into unified, queryable schemas

• Develop robust caching strategies, data access patterns, and middleware solutions to ensure fast, reliable data delivery between frontend and agent infrastructure

• Build monitoring, observability, and debugging systems to maintain performance and reliability as we scale to larger enterprises

Experience Requirements:

• 3–6 years in customer success, implementations, consulting, or strategic account management

• Strong written and verbal communication across all levels of an organization

• Proven success managing complex projects with multiple stakeholders

• Interest in finance, operations, and AI-driven transformation

Responsibilities:

• Lead customer onboarding and end-to-end deployment execution

• Maintain day-to-day relationships with operators and executives

• Drive adoption across workflows and ensure customers realize measurable value

• Build dashboards and success metrics to showcase outcomes

• Identify expansion opportunities and help craft account strategies