UNKNOWN

FEED

You’ll own LLM-driven product features end-to-end, design agentic workflows that real users depend on, and collaborate closely with Product, Infrastructure, and Research to push the limits of AI-driven development. We’re expanding our AI Engineering Team to build next-generation AI-powered development workflows—enabling users to describe their applications in natural language and have AI generate, modify, and enhance their apps seamlessly.

YEAR

Bubble

Senior Applied AI Engineer

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Success means delivering just-in-time capacity, running workloads quickly, and ensuring data scalability across numerous applications, while balancing costs and addressing issues like implementation and infrastructure inefficiencies. Everything you need comes built in: a unified web and native mobile editor, enterprise-grade hosting, security, database management, and automatic scaling that grows with your business.

Software Engineer II, Platform

Architect and own the core agent orchestration engine, designing complex, multi‑agent LLM workflows (routing, tool‑use, memory, evaluation) with deterministic fallbacks, guardrails, and auditable actions required by enterprise users. We're continuing to build out our NYC engineering team and are looking for exceptional builders who are resourceful, deeply technical, and thrive in high-ownership environments.

Knit Inc

Senior Full Stack Engineer

Build working integrations against third-party APIs, CRMs, field service management (FSM) platforms, telephony systems, and partner ecosystems, writing real code, handling REST APIs, JSON, authentication, and webhooks, and getting a credible proof of concept working quickly. Build and maintain the demo and sandbox tooling the GTM org relies on: reusable demo environments, representative fixture data, and internal tools, treating one-off deal builds as reusable assets (integration patterns, reference implementations, scripts) rather than throwaway work.

Avoca

Field Engineer

Staff Full Stack Engineer

You'll collaborate closely with our recruiting and marketing teams, translating business needs into technical solutions while maintaining the delicate balance between speed and scalability that defines successful startups. This isn't just another engineering role - you'll be a true product engineer who understands that every line of code impacts real users.

Fonzi

Build the workflow engine and scale the data tier to ensure reliability and scalability, supporting high-volume ingest, export, and workflows for diverse direct-to-consumer applications. Success means delivering just-in-time capacity, running workloads quickly, and ensuring data scalability across numerous applications, while balancing costs and addressing issues like implementation and infrastructure inefficiencies.

bubble

Senior Software Engineer, Backend

As a Staff Software Engineer on the Embedded Experiences team, you will own and lead the development of Harvey in Word, our Microsoft Office Add-in built on OfficeJS, alongside our other Microsoft Office integrations. Harvey in Word brings AI-powered capabilities directly into Word, enabling lawyers to draft faster, run playbook reviews, and perform agentic editing, all without leaving their workflow.

Harvey, Inc.

Staff Software Engineer, Officejs

As a member of our team, you will collaborate with world-class engineers, architects, and visionaries, and work across organizational lines to solve "impossible" problems and deliver mission-critical results for our users every single day. Our journey began when our founder recognized a critical vulnerability in our modern world: everyone relies on the same stagnant cellular infrastructure and legacy systems that track our every movement, monitor and profile our connections, and lose and sell our personal data.

Cape

Software Engineer, Android

Work in a cross-functional team with frontend, backend, machine learning engineers and product managers to build and deliver compelling user-facing products and features, and expand existing ones. Play a crucial role in accelerating our product expansion by leading the launch of beta products and actively collaborating with clients to gather feedback and iterate on products for continuous improvement.

EliseAI

Senior Software Engineer (Full Stack)

WHAT WE'RE LOOKING FOR • 3+ years building production systems • Experience with retrieval systems, embeddings, vector databases, LLMs or knowledge graphs • Production ML experience: monitoring, versioning, evaluation frameworks • Experience with LLM orchestration (LangChain, LlamaIndex) and multi-agent systems • Familiarity with semantic layers (dbt), data warehouses (Snowflake, BigQuery), enterprise data systems Nice to Have • Enterprise data systems (Snowflake, BigQuery, Salesforce, Segment, Gong) • Multi-agent systems (LangGraph, CrewAI) or workflow orchestration (Airflow, Prefect) • Knowledge graphs, graph databases, semantic layer tools (dbt, Cube) • Real-time data pipelines and streaming architectures TECH STACK Core: Python (primary), TypeScript/JavaScript, SQL LLMs: Anthropic Claude API, OpenAI, in-house frameworks Knowledge Graphs/RAG Data Infrastructure: Snowflake/BigQuery/Redshift, dbt, Kafka/Pulsar, Reverse ETL (Hightouch, Census) Enterprise Integrations: Salesforce, HubSpot, Segment, Gong, Slack, Zendesk, Mixpanel/Amplitude COMPANY CONTEXT Stage: $3.3M pre-seed, proven product-market fit, growing adoption Team: Small senior team from Uber, Lyft, OM1, Capchase. Deepline is a context manager that understands how the real-world works, with an intent compiler that turns context & natural language into outcomes with guardrails and observability.

deepline.com

Founding Go-to-Market Engineer (Contract-to-Hire)

Ship across the full stack-leveraging React and TypeScript on the frontend alongside Python and Postgres on the backend-to architect intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.

Staff Software Engineer, Backend - NYC

The RL Scaling team works on how RL scales: what happens to throughput, stability, and learning efficiency as models get larger, episodes get longer, and compute grows by orders of magnitude, and what has to change in our algorithms and systems to keep getting returns from that scale. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Anthropic

Research Engineer / Research Scientist, RL Frontiers

This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions.

Senior Staff Software Engineer, API

Internet Brands' award-winning consumer websites lead their categories and serve more than 250 million monthly visitors, while a full range of web presence offerings has established deep, long-term relationships with SMB and enterprise clients. Internet Brands, headquartered in El Segundo, Calif, is a fully integrated online media and software services company focused on four high-value vertical categories: Health, Automotive, Legal, and Home/Travel.

Welcome to Internet Brands.
Since launching in 1998, we’ve grown to become the leading digital franchise focused on large vertical markets, headlined by our current focus on the Health and Legal markets.

Our proprietary strategic and operational model powers our creation of best-in-class digital platforms for consumers and for our commercial partners.

Our unique and focused approach scales rapidly, drives consistent growth and enables rapid innovation to meet the evolving needs of our users and our commercial partners. This approach also enables us to unlock new market segments quickly and efficiently.

Internet Brands, Inc.

AI Engineer (Application Design & Rapid Deployment)

As part of Bloomberg's culture of giving back, Connects is a joint effort between Bloomberg and Bloomberg Philanthropies in support of their work to ensure better, longer lives for the greatest number of people by focusing on five key areas: the arts, education, the environment, government innovation, and public health. We are a team of designers, researchers, marketers, editors, engineers, and leaders working together to enhance our partner's capacity to reach audiences around the world and improve their visitor experience.

Bloomberg LP

Senior Software Engineer - Data and Platform Tools - Bloomberg Connects

From API design to cloud infrastructure (AWS), you ship complete, polished features end to end, including AI-powered ones built on LLM APIs, prompt engineering, and async pipelines. React is the core of what customers see and touch — you lead frontend architecture in React and TypeScript, set the quality bar for components, state management, and performance.

Conveo.ai

Senior Product Engineer ($200k-$260k + Equity) - NYC

4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research. Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work.

Applied AI Engineer, Startups (Life Sciences)

This is a role built for range: you could be re-architecting the referral engine that turns physician outreach into inbound patient referrals for our Primary Care (PCP) motion, standing up a brand-new 0-to-1 system connecting benefits consultants, employers, and employees for our Employee Assistance Program (EAP), or building the recruitment, credentialing, and retention systems that let Grow recruit and retain the therapists and prescribers on our platform through Provider Experience. This is a high-ownership, builder-first role for someone who wants to work at the intersection of GTM strategy and hands-on systems engineering: architecting the data model, shipping the automation, and building the AI agents that let Grow’s commercial teams do more without growing headcount linearly.

We believe that behavioral healthcare is broken. Independent providers work tirelessly to fill their practice, accept insurance, and make a decent wage. Meanwhile, patients who pay thousands annually in insurance premiums struggle to find affordable care, let alone an intimate clinical partnership.
It does not need to be this way.
We are a team of healthcare veterans, providers, and entrepreneurs who will not settle for the status quo. We believe providers shouldn’t have to decide between independence or administrative support; a diverse client base or a decent living; a full practice or clinical autonomy.
Grow brings group power to independent practice, empowering private practices to tap into large scale referral, administrative and community support, so that providers can enjoy the freedom of choosing when, where and who to work with, without the hassle of mundane admin tasks like billing and insurance claims.
We'd love for you to join our community.

Grow Therapy

GTM Engineer

We're looking for a Staff Full-Stack Product Engineer: a full-stack engineer who ships production code and works directly with the partners and enterprise customers adopting Thunderbolt. As Thunderbird evolves beyond a single desktop application, we are expanding across desktop, mobile, paid services, AI offerings, and enterprise-facing work to build independent, privacy-respecting alternatives to big tech ecosystems.

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