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AI Deployment Engineer (Pre-sales to post-sales)
Bland is the world's fastest conversational Voice AI, enabling enterprises to automate customer support, sales, and more with custom-trained, secure agents.
Benefits:
Offers Equity
Offers Bonus
Healthcare
dental
vision
Experience Requirements:
3-7 yrs in solutions engineering, product-minded software engineering, founding a startup, or any role that proves you can own a customer-facing build from zero to production
Comfortable reading & writing REST/JSON; able to sling quick Python or JS scripts to glue systems together
Track record of relentless ownership
Clear communicator who can translate LLM quirks
Ready for the intensity of a fast-growing, early-stage startup
Other Requirements:
Exceptional new grads with strong ownership and ambition are welcome to apply
Responsibilities:
Presales partner.
Own implementation start-to-finish.
Coordinate stakeholders.
Move fast and iterate.
Expand the footprint.
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Senior Engineer
Bland is the world's fastest conversational Voice AI, enabling enterprises to automate customer support, sales, and more with custom-trained, secure agents.
Benefits:
Offers Equity
Offers Bonus
Experience Requirements:
5+ years of software engineering experience, ideally full stack
Designed and built software from 0-1, and 1-2
Experience working at a quickly growing start-up
2+ years of experience working on AI applications
Experience with telephony systems, VoIP, or WebRTC
Responsibilities:
Architect and Build Core Systems
Lead Technical Integrations
Optimize Machine Learning Pipelines
Drive Engineering Excellence
Support Customer Deployments
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Senior Infrastructure Engineer
Bland is the world's fastest conversational Voice AI, enabling enterprises to automate customer support, sales, and more with custom-trained, secure agents.
Benefits:
Offers Equity
Offers Bonus
Healthcare
dental
vision
Experience Requirements:
5+ years building and scaling distributed systems, with deep knowledge of cloud infrastructure (AWS/GCP preferred)
Experience with real-time systems (high-throughput, low-latency workloads, streaming, real-time processing)
Experience working at fast-growing companies where you wear multiple hats and solve problems as they come up
Familiarity with tools/components like: Cloudflare, HAProxy, Go, TypeScript, Datadog, Terraform, Docker, Kubernetes, Nvidia Hardware (nvlink for example)
Experience with telephony systems (SIP, VOIP, WebRTC)
Other Requirements:
Youβre opinionated, but youβre not alienating
Responsibilities:
Contribute to the designing of scalable architecture
Build and Support ML infrastructure
Integrate with telephony
Recognize Flaws, Control for them
Ensure reliability
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Sr. Software Engineer, Video Pipeline (Remote or SF Bay Area)
Spot AI transforms existing cameras into intelligent agents, offering enhanced security and optimizing physical operations to drive measurable outcomes for businesses.
Benefits:
Meaningful early stage equity
Medical, dental and vision plan options with little-to-no cost for employees and dependents
Company paid short- and long-term disability plans
Company paid life insurance
401K with Employer Match
Experience Requirements:
7+ years of software engineering experience, with a strong focus on performance and reliability.
3+ years building production-ready video pipelines with GStreamer, FFmpeg, or similar frameworks
Hands-on experience with streaming protocols like WebRTC, RTSP, or HLS and codecs like H.264, H.265
Experience coding in Rust or C/C++ programmers comfortable with using Rust, and deploying applications in Linux environments
Other Requirements:
visa sponsorship is not available for this position.
Responsibilities:
Own the design, development, and scaling of our video pipeline for edge devices, ensuring real-time processing and efficient performance
Optimization for Intel and NVIDIA GPU encoders and decoders.
Collaborate with product and hardware teams to optimize video quality across different camera models and network conditions
Lead initiatives to instrument and monitor performance, then design tools and improvements that help the entire team ship better video experiences faster
Evaluate and integrate new protocols and codecs that improve efficiency or enable new customer use cases.
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Staff Software Engineer, AI
Spot AI transforms existing cameras into intelligent agents, offering enhanced security and optimizing physical operations to drive measurable outcomes for businesses.
Benefits:
Meaningful early stage equity
Medical, dental and vision plan options with significant company contributions towards premiums
Company paid short- and long-term disability plans
Company paid life insurance
401K with Employer Match
Experience Requirements:
6+ years in software engineering, with significant expertise in AI plus a strong track record in high-quality system delivery.
strong background in AI, ideally with video processing experience
understand classic deep learning techniques, from YOLO to transformer models to linear classifiers.
experience with the latest AI foundation models, from embeddings to LLMs and prompt engineering.
deeply understand software design, architecture, big-data processing pipelines, and best practices on systems design + scalability, code quality, and data/model design.
Other Requirements:
visa sponsorship is not available for this position.
Responsibilities:
advancing Spot AIβs capabilities, using your AI expertise to drive innovative solutions for businesses with physical environments
Leading the design and integration of AI-driven features, youβll elevate both new and existing products
apply cutting-edge AI techniques to transform video data into actionable insights
setting standards in AI reliability and performance
Mentoring and guiding other engineers to foster collaboration and innovation that increase project impact.
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Skillbridge - New Product Introduction Engineer Internship
Spot AI transforms existing cameras into intelligent agents, offering enhanced security and optimizing physical operations to drive measurable outcomes for businesses.
Experience Requirements:
active-duty military personnel who are approved by their Chain of Command to participate in the DoD Skillbridge program.
This is a Department of Defense (DoD) SkillBridge internship opportunity designed for junior military officers (O1βO3 or equivalent) interested in operations and program management.
all service members with honorable service and at least 180 days of continuous Active Duty.
Participation must occur during the final 180 days of service and be completed before separation.
Other Requirements:
This position is exclusively available for active-duty military personnel who are approved by their Chain of Command to participate in the DoD Skillbridge program.
This is not a remote position. Candidates must be able to work onsite from our downtown San Francisco OR Hayward, CA office.
Responsibilities:
Lead and coordinate the end-to-end introduction of new hardware and software products
Work in internal cross-functional teams (engineering, manufacturing, supply chain, quality) and external manufacturing partners
Develop detailed project plans, manage schedules, and proactively identify and mitigate operational risks.
Facilitate effective communication among stakeholders, providing regular updates and resolving roadblocks.
Oversee prototype builds, validation, and testing, ensuring quality and timely delivery.
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Senior Full Stack Engineer
Odin AI is an enterprise-grade agentic platform that enables businesses to build specialized AI agents for precise, efficient task automation and transformative results.
Benefits:
Competitive salary and comprehensive benefits.
Flexible working hours and remote work opportunities.
A dynamic and friendly work environment.
Opportunities for professional development and career progression.
Company-sponsored learning initiatives and tech conferences.
Experience Requirements:
7+ years of professional experience as a Full Stack Developer or similar role.
Strong knowledge of JavaScript, TypeScript, and Python.
Experience with SQL databases and Object-Relational Mapping (ORM) frameworks.
Proficiency in version control systems like Git.
Knowledge of agile development methodologies.
Other Requirements:
Strong problem-solving abilities and capacity to work independently as well as in a team.
Excellent communication and teamwork skills, with a keen eye for detail and a problem-solving mindset.
Self-starter comfortable with identifying opportunities, proactively defining, and driving forward-looking roadmaps.
Passionate about solving productivity challenges and empowering other engineers.
Proven experience in leading projects and effectively communicating with cross-functional partners.
Deep understanding of automation tools and frameworks.
Experience with Supabase for data storage, user authentication, and serverless cloud functions.
Thrive in an ambiguous environment and can self-manage and prioritize your time, energy, and resources.
Understand engineering is a team sport and actively seek feedback and dissent.
Responsibilities:
designing and building high-quality, efficient, and reusable back-end systems and APIs.
craft an intuitive and interactive UI using ReactJS, allowing users to navigate complex data seamlessly.
manage all phases of the software development life cycle, collaborating closely with Product and Design teams to translate end-user requirements into practical software solutions.
lead, mentor, and support other team members, fostering a culture of continuous learning and improvement.
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AI focused Backend Engineer
Wand is the only platform for management, execution, and creation of AI agents as trusted members of your workforce.
Education Requirements:
Bachelorβs degree in Computer Science, Software Engineering, or a related technical field
Experience Requirements:
1β3 years of AI experience and 3+ years of backend development experience (professional or equivalent project-based)
Solid knowledge of Python or a similar backend language
Familiarity with building RESTful APIs and working with databases
Basic understanding of cloud environments (e.g., AWS, GCP)
Strong interest in AI technologies and willingness to learn how to support them in production
Other Requirements:
Exposure to AI/ML concepts, especially LLMs or NLP systems
Experience working in a product-focused or early-stage startup environment
Familiarity with containerization (Docker) and orchestration (Kubernetes)
Experience using message queues (e.g., Kafka, RabbitMQ) is a plus
Responsibilities:
Develop and maintain backend services supporting AI features and business logic
Collaborate closely with AI researchers, product managers, and frontend engineers
Implement clean, maintainable, and testable code
Optimize APIs and data processing pipelines for performance and scalability
Participate in code reviews, design discussions, and team meetings
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Backend Engineer
Wand is the only platform for management, execution, and creation of AI agents as trusted members of your workforce.
Education Requirements:
Degree in Computer Science, Engineering, or a related field
Experience Requirements:
5-10 years of backend engineering experience
Strong proficiency in backend languages (Python and alike)
Proven track record in a high-paced startup environment
Experience with unmanaged backend microservices environments including Docker, Kubernetes, and message queues
Experience with databases, APIs, and web services
Other Requirements:
Background in B2C Product-Led Growth (PLG) products
Expertise in NLP, AI, LLMS
Experience with Elasticsearch
Responsibilities:
Develop high-quality, scalable, and secure backend services
Collaborate with frontend developers and product teams to integrate AI capabilities
Engage in all technical aspects without reliance on DevOps support
Uphold a culture of high efficiency, creativity, and quality
Make fast, data-driven decisions and demonstrate ownership
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Data Experience Software Engineer
Wand is the only platform for management, execution, and creation of AI agents as trusted members of your workforce.
Education Requirements:
Bachelorβs degree in Computer Science, Data Engineering, or a related technical field
Experience Requirements:
4+ years of experience in software engineering or data engineering roles
Proficiency in Python (or another high-level language), and experience with backend frameworks (e.g., FastAPI, Flask)
Strong experience with data engineering tools and systems such as Airflow, Spark, dbt, or similar
Hands-on experience with cloud platforms (GCP, AWS, or Azure), especially in data infrastructure
Solid understanding of ETL/ELT pipelines, APIs, and microservices
Other Requirements:
Experience building systems that interact with LLMs, RAG pipelines, or agentic architectures
Familiarity with graph databases, vector stores, or semantic search technologies
Experience working in startups or fast-moving product teams
Exposure to DevOps and CI/CD practices in cloud-native environments
Understanding of real-time data streaming technologies (Kafka, Pub/Sub, etc.)
Responsibilities:
Design, build, and maintain scalable data pipelines and systems that support agentic applications
Develop backend services and APIs that handle data ingestion, transformation, and access
Work closely with the Data Engineering lead to define architecture and technical direction
Integrate structured and unstructured data sources into agent workflows
Ensure high performance and reliability of data systems in production environments
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Engineering Manager
Wand is the only platform for management, execution, and creation of AI agents as trusted members of your workforce.
Experience Requirements:
5+ years managing software teams (people + projects) in remote, globally distributed environments
Proven track record of leading high-performing teams in fast-paced, product-driven environments
Strong technical judgment; comfortable reviewing PRs at a high level, scoping tickets, and challenging estimates
Understanding of scalable architectures, APIs, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure)
Excellent communication skills β able to provide clarity, context, and motivation across remote teams
Other Requirements:
Experience in Agentic AI, or LLM-based product development
Background in enterprise SaaS, platform engineering, or SRE
Exposure to early-stage, VC-backed startups or global remote teams
Familiarity with modern frameworks: FastAPI, React, Next.js, or similar
Experience scaling engineering orgs (hiring, process, and mentorship)
Responsibilities:
Lead a cross-functional team of software engineers, ensuring clarity in goals, timelines, and ownership
Mentor engineers through code reviews, career growth plans, and performance feedback
Own delivery β ensuring projects are shipped on time with high quality and measurable impact
Establish and refine team processes for sprint planning, documentation, and release cycles
Partner with recruiting to attract and onboard top engineering talent
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QA Engineer
Wand is the only platform for management, execution, and creation of AI agents as trusted members of your workforce.
Education Requirements:
Bachelorβs degree in Computer Science, Software Engineering, Information Technology, or a related field
Experience Requirements:
4+ years of experience in software QA engineering
Strong knowledge of automated testing frameworks (e.g., Cypress, Playwright, Selenium, or similar)
Experience testing modern web applications and RESTful APIs
Familiarity with Git, CI/CD pipelines, and test environments
Proficient in writing clear, concise bug reports and documentation
Other Requirements:
Exposure to governance, access control, or identity systems
Experience with performance/load testing
Knowledge of cloud infrastructure (e.g., AWS, GCP) and containerized environments
Responsibilities:
Develop and maintain comprehensive test strategies across backend services, APIs, and data pipelines
Build, maintain, and improve test automation frameworks (integration, regression, E2E, performance)
Perform manual testing to validate new features, edge cases, and user scenarios
Identify, isolate, and document bugs thoroughlyβwork closely with engineers to resolve them
Collaborate with developers during planning and design to establish clear acceptance criteria and test coverage
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Process Engineer
Molecular Universe is an AI-enhanced platform that accelerates battery material discovery from years to minutes, mapping a vast universe of small molecules.
Education Requirements:
Bachelorβs degree, major in mechatronics, electronics, electrical, process design
Experience Requirements:
At least 2 years working experience in PACK assembly or lithium battery industry
Other Requirements:
Good at analyzing and solving problems, have good communication and coordination skills
Familiar with IATF1649 quality management system
Proficient in Office, AUTOCAD and other software
Have a certain ability to work under pressure, have a strong sense of team spirit and cooperation
Responsibilities:
Responsible for process support, process verification and optimization and promotion of process problems in the design and development phase of PACK project
Responsible for preparing product process documents (PFMEA, process flow chart, control plan, WI, etc.), proficient in PACK production process and key process control points
Provided technical support for production, formulated standard operation instructions for each process, and solved technical problems in the production process
In-depth technical exchanges on the production site, providing guidance for key parts and processes
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Senior Software Developer
Smartex is an AI-powered system for modern textile factories, enhancing quality, increasing productivity, and boosting sustainability through automated inspection and digital operations.
Experience Requirements:
Experience in the textile industry
Experience collaborating with distributors or third-party entities
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Computer vision engineers and researchers
Hotpot.ai is an AI platform for creating stunning images, graphics, and writing with AI. It automates drudgery and sparks creativity across various tasks.
Education Requirements:
skills in foundational domains like math and computer science
Experience Requirements:
minimal experience but provable learning capacity
ability to learn
Other Requirements:
share the 5 most recent papers you read and one common assumption you think may be wrong
Responsibilities:
image generation
image personalization
image matting
super-resolution
colorization
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NLP/LLM engineers and researchers
Hotpot.ai is an AI platform for creating stunning images, graphics, and writing with AI. It automates drudgery and sparks creativity across various tasks.
Education Requirements:
skills in foundational domains like math and computer science
Experience Requirements:
minimal experience but provable learning capacity
ability to learn
Other Requirements:
share the 5 most recent papers you read and one common assumption you think may be wrong
Responsibilities:
LLM datasets and benchmarks
named-entity recognition (NER) & information retrieval (IR)
reasoning systems
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Data engineers
Hotpot.ai is an AI platform for creating stunning images, graphics, and writing with AI. It automates drudgery and sparks creativity across various tasks.
Education Requirements:
skills in foundational domains like math and computer science
Experience Requirements:
minimal experience but provable learning capacity
ability to learn
no ML experience required
Other Requirements:
passion for data and programming
share resume and profiles from GitHub, Stack Overflow, and Hacker News
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Web developers
Hotpot.ai is an AI platform for creating stunning images, graphics, and writing with AI. It automates drudgery and sparks creativity across various tasks.
Education Requirements:
skills in foundational domains like math and computer science
Experience Requirements:
minimal experience but provable learning capacity
ability to learn
Other Requirements:
share resume and profiles from GitHub, Stack Overflow, and Hacker News
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Rails engineers
Hotpot.ai is an AI platform for creating stunning images, graphics, and writing with AI. It automates drudgery and sparks creativity across various tasks.
Education Requirements:
skills in foundational domains like math and computer science
Experience Requirements:
minimal experience but provable learning capacity
ability to learn
Other Requirements:
share resume and profiles from GitHub, Stack Overflow, and Hacker News
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Firebase engineers
Hotpot.ai is an AI platform for creating stunning images, graphics, and writing with AI. It automates drudgery and sparks creativity across various tasks.
Education Requirements:
skills in foundational domains like math and computer science
Experience Requirements:
minimal experience but provable learning capacity
ability to learn
Other Requirements:
share resume and profiles from GitHub, Stack Overflow, and Hacker News
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