Join Context AI as a Software Engineer - MTSAbout UsAt Context AI, we are dedicated to revolutionizing productivity for knowledge workers. Our mission is to create enterprise AI systems that not only answer questions and automate tasks but also handle complex, high-stakes work that truly drives business success. We have identified that the primary barrier to realizing the potential of AI in enterprises is not the intelligence of the models, but rather the understanding of institutional knowledge - the intricate ways organizations function, where information is stored, the quality standards in play, and the processes that drive work completion.Our innovative platform learns the unique context of each organization, capturing vital elements such as tribal knowledge, business rules, internal lexicons, and tacit expertise that contribute to delivering production-quality work. Context AI enables seamless connections to vast datasets, empowering AI agents to perform essential tasks, from engineers analyzing firmware logs for root cause identification, to bankers conducting due diligence in extensive data rooms, to analysts refreshing reports with real-time market data and consulting teams crafting client deliverables.We have successfully demonstrated our capabilities with Fortune 100 clients, achieving significant productivity gains between 30-40%, drastically reducing cycle times by over 90%, and deploying solutions in mere days rather than months. Operating around the clock, our global team at Context AI liberates knowledge workers to concentrate on strategic opportunities and explore new avenues for growth.Why Choose Context AI?Transformative Impact: As part of our team, you will contribute to the boundless potential of enterprise AI, reshaping the work landscape for numerous professionals including engineers, bankers, analysts, consultants, product managers, and lawyers.Engaging Technical Challenges: You will have the opportunity to design systems that have never been built before, tackling problems that have yet to be solved.Empowered Ownership: We value autonomy and trust our engineers to influence product direction and take full ownership of the systems they develop.Exceptional Team: Join an elite group of professionals from top-tier companies like Apple AI, Microsoft Research, Google, and others, and learn from the best in the industry.Your RoleAs a Software Engineer - MTS at Context AI, you will develop the foundational platform that empowers AI agents to execute complex and high-stakes tasks for Fortune 100 enterprises. You will be at the cutting edge of technology, shaping the future of work.

About Context AIJoin us in revolutionizing productivity for knowledge workers.At Context AI, we are pioneering the future of enterprise AI—developing systems that go beyond merely answering questions or automating straightforward tasks, to executing complex, judgment-intensive work that significantly impacts business outcomes. The main barrier to AI delivering true enterprise value is no longer model intelligence; it is institutional intelligence. This involves understanding organizational operations, the locations of vital information, important quality standards, and the actual workflows within a business.Our platform addresses this challenge by autonomously learning the unique context of each organization—the tribal knowledge, business rules, internal language, and tacit expertise that define high-quality work. Every task on Context connects to extensive data across entire codebases, data rooms, and operational systems, allowing AI agents to undertake genuine tasks traditionally performed by knowledge workers: engineers analyzing firmware logs for root cause identification, bankers conducting due diligence on massive data rooms, analysts updating deliverables with real-time market data, and consulting teams developing client presentations and websites.We have validated our system with Fortune 100 clients, achieving productivity enhancements of 30-40%, reducing cycle times by over 90%, and deploying solutions in days instead of months. Context AI operates continuously across global teams, enabling knowledge workers to concentrate on strategic initiatives and explore new growth opportunities.Why Choose Context AI?Transformative Impact: The potential of enterprise AI is limitless, and we are at the forefront. Here, you will develop software that revolutionizes the work experience for thousands of engineers, bankers, analysts, consultants, product managers, lawyers, and more.Engaging Technical Challenges: Design innovative systems that have never been built before to solve unprecedented problems.Meaningful Ownership: We empower our team members to have a direct influence on product direction and to own entire systems. At Context, you will propose, build, and ship features with full autonomy.Elite Team Collaboration: Join a world-class team comprised of talent from Apple AI, Microsoft Research, Google, Stripe, Ramp, and more. Work alongside and learn from the best in the industry.Your RoleAs a Forward Deployed Software Engineer (FDSE) at Context AI, you will be at the intersection of cutting-edge AI and real-world complexity. You will engage directly with Fortune 100 clients to build AI agents capable of executing challenging tasks...

About Context Context builds AI platforms that help companies capture and manage their own knowledge, procedures, data, and objectives, using intelligent agents. These agents work with human teams to handle complex, ongoing tasks inside a unified office suite. Fortune 500 clients rely on Context to deploy these solutions securely. The team includes engineers and researchers with backgrounds at Apple, Ramp, Stripe, Meta, BAIR, and SAIL. Context’s products have reached over a million users and supported campaigns with audiences of more than 180 million. Backers include Lux Capital, Qualcomm Ventures, General Catalyst, and BoxGroup. Context moves quickly. Features developed one week are already in use by Fortune 100 teams the next, so the feedback loop is immediate and high-stakes. Summer Internship Overview This paid internship in San Francisco is for students who want to work on meaningful projects at a growing startup. Interns have the chance to ship code to production, collaborate with Fortune 500 clients, and take ownership of high-impact work. In previous summers, interns built platform integrations that are now used by major clients. Compensation $80,000 - $120,000 annual, prorated for the internship period Interview Process Behavioral screening Take-home case study or technical interview Two-day work trial (timing is flexible) Location San Francisco, CA (in-office)

Join the innovative team at dstaff as a MTS 1 Software Engineer. We are seeking a passionate and skilled software engineer who is eager to contribute to exciting projects and enhance our technical capabilities.

fractional-ai is hiring a Software Engineer to join the team onsite in San Francisco. This role centers on building and improving technology that advances artificial intelligence. Role overview As a Software Engineer, you will work closely with others to develop and support projects that drive the company’s AI initiatives forward. The work involves collaborating with colleagues and contributing technical solutions in a team setting. What you will do Develop software for AI-driven projects Collaborate with team members in the San Francisco office Contribute ideas and technical expertise to ongoing initiatives Requirements Interest in technology and artificial intelligence Ability to work onsite in San Francisco Strong motivation to learn and contribute to team projects

About Simple AIAt Simple AI, we are pioneering cutting-edge voice AI solutions tailored for enterprises. Our lifelike voice agents empower renowned companies such as DoorDash, xAI, and Omaha Steaks in managing diverse phone operations ranging from customer support to order intake and lead qualification. As we experience rapid revenue growth, we seek a couple of founding software engineers to help us meet current customer demands while developing innovative systems for the future. Our team is passionate about harnessing AI to transform the world, and we operate from our San Francisco office five days a week.Simple AI is proudly supported by top-tier investors and industry leaders, including Y Combinator, Massive Tech Ventures, and prominent figures like Michael Seibel (co-founder of Twitch), Jared Friedman (Scribd), Alexandr Wang (Scale AI), Matt Van Horn (June Oven and Lyft), Suhail Doshi (Mixpanel), JJ Fliegelman (WayUp), and Scott Wu (Cognition).Meet the FoundersThe founders, Catheryn Li and Zach Kamran, previously led software teams at Y Combinator, where they launched numerous products for YC founders, including the co-founder matching site. Cat brings experience from Instagram and Facebook and holds degrees in mathematics and computer science from MIT. Zach studied computer science and statistics at the University of Chicago and led software initiatives at PEAK6.What We ProvideCompetitive salary with significant equity opportunitiesEmployee-friendly equity termsOffice located in San FranciscoComprehensive health, dental, and vision insuranceComplimentary lunch and dinner at the officeFree Uber rides home after 8:30 PMRegular team events and offsite activitiesYour Qualifications4+ years of relevant software engineering experience.Exceptional problem-solving skills and a passion for tackling technical challenges.A customer-centric mindset coupled with strong communication skills and a keen interest in product design and prioritization.Self-motivated with the ability to work independently.A genuine enthusiasm for continual learning and keeping abreast of the latest advancements in AI.

Join Our Innovative Team at Simple AIAt Simple AI, we are transforming enterprise communications through cutting-edge voice AI agents. Our highly realistic agents empower leading companies such as DoorDash, xAI, and Omaha Steaks to efficiently manage a variety of phone operations, including customer support, order processing, and lead qualification.As we experience exponential growth and a surge in customer demand, we are seeking a few founding software engineers to help us navigate this exciting journey and develop systems for the future. Our passionate team operates from our vibrant San Francisco office five days a week, driven by a shared vision of leveraging AI to make a significant impact in the world.We are proud to be backed by esteemed investors and operators, including Y Combinator, Massive Tech Ventures, and industry leaders such as Michael Seibel (Twitch), Jared Friedman (Scribd), and more.

fractional-ai is looking for a Senior or Staff Software Engineer to join the San Francisco office. This position centers on building advanced AI solutions with a team that values both technical depth and collaboration. Role overview This role focuses on designing and developing AI-driven systems. The work involves solving technical challenges and contributing to projects that push the boundaries of what AI can achieve. Collaboration with other engineers and stakeholders is a key part of daily responsibilities. Who will thrive Experienced engineers with a strong background in software development Those who enjoy working on complex technical problems Individuals who value teamwork and open communication Location This position is based in the San Francisco office.

Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.

Join the Revolution at Retell AIRetell AI is pioneering the future of call centers through innovative voice AI, driven by first principles thinking.In just 18 months since our inception, we have empowered thousands of businesses with our AI voice agents, transforming how sales, support, and logistics calls are managed—previously requiring extensive human teams. Supported by prestigious investors such as Y Combinator and Alt Capital, we've rapidly scaled from $5M ARR to an impressive $36M ARR with a compact yet dynamic team of 20.Our ambition for 2026 is to create a revolutionary customer experience platform, where entire contact centers are powered by AI. Moving beyond basic automation, we aim to develop intelligent AI “workers” that serve as frontline agents, QA analysts, and managers, continuously enhancing customer interactions without the need for constant human oversight.As we expand, we are seeking passionate engineers who are eager to solve challenging technical problems, act swiftly, and make a significant impact in one of the fastest-growing voice AI startups. Let’s shape the future together.

Join Saris AI as a Staff Backend Software Engineer, where you will play a pivotal role in developing innovative solutions that harness the power of artificial intelligence. In this dynamic position, you will collaborate with cross-functional teams, design scalable systems, and contribute to the overall architecture of our backend solutions.

Join Our Innovative Team at Retell AIRetell AI is at the forefront of revolutionizing the call center industry through advanced voice AI technology. In just 18 months since our inception, we have empowered thousands of businesses to optimize their sales, support, and logistics calls, which previously relied on large teams of human agents. Supported by prominent investors including Y Combinator and Alt Capital, we've achieved remarkable growth, scaling from $5 million to $36 million in annual recurring revenue (ARR) while expanding our talented team to 20 members.Our ambitious vision for 2026 is to develop a state-of-the-art customer experience platform, transforming entire contact centers with AI. Unlike traditional automation that requires ongoing human oversight, we are building intelligent AI "workers" capable of functioning as frontline agents, quality assurance analysts, and managers, constantly enhancing customer interactions.If you are a passionate innovator eager to solve complex technical challenges and make a tangible impact at one of the fastest-growing voice AI startups, we invite you to join us in shaping the future.Ranked among the top 50 AI applications by a16z: a16z List4th on Brex's Fast-Growing Software Vendors of 2025: Brex BenchmarkFeatured as a leading startup on: Leanaileaderboard

Join promise as a Software Engineer specializing in AI, where you will be at the forefront of technological innovation. You will work collaboratively with a passionate team to develop cutting-edge AI solutions that impact lives and improve efficiency across various sectors. Your expertise will help shape the future of our products and services.

Role OverviewLocation: San Francisco, CA Work Model: In-officeAbout Effective AIAt Effective AI, we are pioneering the future of work, focusing on sophisticated AI solutions for complex knowledge tasks rather than simple, repetitive functions. Our goal is to develop advanced AI Teammates that excel in intricate workflows and collaborate seamlessly with human professionals. Our initial challenge is to revolutionize the trillion-dollar U.S. Property & Casualty insurance sector, an area rich in data and complexity, ideal for our innovative approach.We have successfully secured $10 million in seed funding from prominent investors including Lightspeed Ventures and Valor Equity Partners.Our passionate team operates out of San Francisco, where we value in-person collaboration to address these pressing challenges.Your ResponsibilitiesAs a Founding Software Engineer, you will be an integral member of our founding team, significantly influencing the design and development of our core product from inception. You will confront critical challenges in agentic AI, crafting Teammates capable of managing essential insurance functions such as underwriting and claims processing.Specifically, you will:Facilitate long-term task completion by creating the foundational architecture for AI agents to plan and execute multi-step processes reliably over prolonged interactions.Develop advanced reasoning functionalities, enabling agents to make informed decisions based on ambiguous or incomplete information, akin to human experts.Create intelligent, tool-utilizing agents capable of selecting and employing a variety of external tools—APIs, databases, web searches, and Excel-based pricing algorithms—to gather information and take decisive actions.Design adaptive and learning systems, equipping our AI Teammates to learn from feedback and adjust to evolving conditions such as regulatory changes or market dynamics.Your ProfileWe seek an innovative and driven builder excited to tackle substantial challenges.You possess a solid foundation in computer science and remarkable problem-solving capabilities, evidenced by impactful projects or previous experience.Your genuine enthusiasm for AI fuels your passion for tackling complex issues.

Join Us in Combating the Escalating Wildfire Crisis with Cutting-Edge AI and IoT SolutionsAbout UsThe Challenge: In the face of climate change, wildfires are becoming more frequent and severe. Traditional methods of fire detection, reliant on bystanders and emergency calls, lead to critical delays in response times. Fire authorities require innovative solutions for faster detection, verification, and response to avert catastrophic fire outbreaks.Who We Are: Pano AI is a dynamic growth-stage startup based in San Francisco, comprising over 150 passionate professionals. We stand at the forefront of wildfire detection and intelligence, equipping fire services with timely information and advanced technology to enhance their response capabilities. Our platform integrates cutting-edge hardware, software, and AI, utilizing ultra-high-definition 360-degree cameras positioned strategically to provide real-time threat assessments. Our technology empowers fire professionals with actionable insights, enabling them to prevent minor flare-ups from escalating into significant disasters.Recognized by TIME as one of the 100 Most Influential Companies of 2025, and featured in MIT Technology Review's top 15 climate tech companies to watch, Pano AI is paving the way for innovative solutions in fire response. Our contributions have been recognized in major publications such as the Wall Street Journal and Bloomberg.

About UnifyUnify is revolutionizing the way revenue teams operate by developing the first AI-powered system of action. Our mission is to transform outbound strategies into a robust growth engine, ensuring that go-to-market execution is observable, repeatable, and scalable. Established in 2023 by industry leaders from Ramp and Scale AI, our talented team boasts backgrounds from renowned companies like Airbnb, Meta, Waymo, and Perplexity.In 2024, Unify achieved an impressive 8x revenue growth and serves a diverse clientele including Perplexity, Cursor, SoFi, and Justworks. We are a dynamic team fueled by high energy and intensity, having secured $58M in funding from leading investors such as Thrive, Emergence, and OpenAI. Join us in shaping the future of GTM!About the Role:As a Senior Software Engineer specializing in AI at Unify, you will be at the forefront of innovation, developing new AI products and enhancing our AI platform. Your work will encompass agents, retrieval systems, classification, fine-tuning, reinforcement learning, and LLM inference infrastructure. If you are passionate about creating production-ready AI systems and wish to contribute to cutting-edge applications used by premier GTM teams, this role is for you.

Join Us at Retell AIRetell AI is revolutionizing the call center industry by leveraging innovative voice AI technology based on first principles.In just 18 months since our inception, we have attracted thousands of companies that rely on Retell's AI voice agents to efficiently manage sales, support, and logistics calls, previously handled by large teams of human agents. Supported by renowned investors such as Y Combinator and Alt Capital, we have rapidly grown from $5M to $36M in Annual Recurring Revenue (ARR) with a dedicated team of 20.Looking ahead to 2026, our ambition is to establish a state-of-the-art customer experience platform entirely powered by AI. We aim to create intelligent AI “workers” capable of serving as frontline agents, quality assurance analysts, and managers, continuously optimizing customer interactions without the need for constant human oversight.We are on an exciting growth trajectory and are seeking driven individuals who are eager to solve complex technical challenges, accelerate progress, and make a significant impact at one of the fastest-growing voice AI startups.Let’s innovate the future together!Ranked as a top 50 AI app by a16z: https://tinyurl.com/5853dt2x#4 on Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025One of the top startups on: https://leanaileaderboard.com/

Join Advex AI as a Software Engineer and help us tackle one of the most significant challenges in deep learning: data collection. Our innovative approach transforms generative models into data agents, significantly enhancing AI model performance by over 300% for Fortune 500 clients in just hours.As a key member of our team, you will collaborate to build our core product, scale our platform, and contribute to the architectural roadmap that shapes the future of Advex. We are a seed-stage tech startup backed by prominent investors like Construct Capital and PearVC, with a team rich in experience from leading organizations such as Google Brain and Waymo.

About Flow EngineeringFlow Engineering is a pioneering AI-native requirements platform tailored for contemporary engineering organizations. Our innovative technology empowers hardware teams to engage collaboratively with AI agents, facilitating the design, validation, and evolution of complex systems with unparalleled speed and precision.About the RoleWe are on the lookout for skilled staff software engineers with a focus on AI who are passionate about developing AI-infused capabilities. Your work will enhance how teams draft, review, and manage requirements efficiently. You will be integral to workflows involving agentic systems engineers and domain engineers, effectively placing AI at the core of team interactions and decision-making processes.This position merges AI, product development, and full-stack engineering, enabling you to advance concepts from initial prototypes to robust, observable features in a production environment.Key ResponsibilitiesDesign and implement AI-enhanced functionalities such as assisted requirement drafting, consistency checks, impact assessments, and intelligent recommendations for systems and domain engineers.Create agentic workflows that empower systems engineers and domain engineers to explore designs, simulate modifications, and validate requirements effectively.Assess and incorporate language models and related tools, optimizing for reliability, latency, cost-effectiveness, and debuggability in production settings.Develop and sustain the complementary infrastructure, including data pipelines, evaluation frameworks, prompt and model management, observability, as well as safety measures and guardrails.Engage across the technology stack, from backend integrations and API development to user interface components, delivering comprehensive AI capabilities beyond mere model endpoints.Collaborate with product teams and clients to pinpoint high-impact workflows, conduct experiments, and iterate swiftly based on user feedback.QualificationsA minimum of 3 years of experience in applied machine learning, large language models (LLMs), or related domains, with a proven history of deploying ML/LLM-driven features in live environments.At least 8 years of experience in software development, including the design, testing, and operation of scalable services in a cloud-based infrastructure.Proficiency with contemporary LLM providers and tools (e.g., OpenAI, Anthropic, Hugging Face, vector databases, retrieval-augmented generation patterns).Familiarity with prompt crafting, retrieval-augmented systems, evaluation techniques, and safety protocols.Strong analytical skills to evaluate trade-offs among various models, architectures, and deployment strategies, enabling pragmatic decision-making.An openness to continuous learning and adapting to evolving technologies.