AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
DevOps Engineer
Automate security operations at scale with an agentic platform that uses specialized micro-agents to reason through complex threats and execute auditable actions.
Experience Requirements:
At least 4 years of experience as a DevOps Engineer
Experience with AWS cloud infrastructure using IaC tools
In-depth knowledge of containerized environments and Kubernetes
Experience with CI/CD systems and automation tools
Experience with observability systems
Other Requirements:
Basic Python programming and shell scripting skills
Familiarity with Go
Experience with managing datastores
Responsibilities:
Implement and manage CI/CD pipelines
Provide engineering teams with observability tools
Design and implement secure, scalable cloud infrastructure
Proactively address potential issues and inefficiencies
Promote a no-blame dev culture
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DevOps Team Lead
Automate security operations at scale with an agentic platform that uses specialized micro-agents to reason through complex threats and execute auditable actions.
Experience Requirements:
5+ years of experience as DevOps Engineer
At least 2 years in a leadership role
Deep knowledge of AWS and cloud-native architecture
Strong experience with infrastructure-as-code tools
Expertise in CI/CD systems and container orchestration
Other Requirements:
Strong scripting skills in Python and Bash
Experience in a high-scale SaaS environment
Responsibilities:
Lead and mentor the DevOps team
Own architecture and maintenance of cloud infrastructure
Drive evolution of CI/CD pipelines and monitoring systems
Ensure high availability and security of production environments
Collaborate with developers to optimize delivery processes
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LLM Engineer
Automate security operations at scale with an agentic platform that uses specialized micro-agents to reason through complex threats and execute auditable actions.
Experience Requirements:
2 years of experience in developing LLM-based applications
4+ years of experience in backend development
Expertise in developing cloud based applications
Strong analytical and problem-solving skills
Other Requirements:
Familiarity with various AI models
Experience with prompt engineering techniques
Responsibilities:
Architect and engineer prompts for various AI models
Design and develop robust REST APIs
Collaborate with R&D and product teams to optimize AI model performance
Explore and implement novel applications of AI
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Platform Team Lead
Automate security operations at scale with an agentic platform that uses specialized micro-agents to reason through complex threats and execute auditable actions.
Experience Requirements:
4+ years of experience as a Software or Platform Engineer
At least 2 years in a leadership role
Deep understanding of modern cloud-native architecture
Hands-on experience with backend development
Expertise in operating high-scale SaaS systems
Other Requirements:
Experience with monitoring and observability tools
Responsibilities:
Define and evolve vision for application platform
Lead, mentor, and grow a high-performing engineering team
Own key infrastructure components
Partner with DevOps, Product, and peer engineering teams
Foster a culture of continuous improvement
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Senior Backend Engineer- LLM Team
Automate security operations at scale with an agentic platform that uses specialized micro-agents to reason through complex threats and execute auditable actions.
Experience Requirements:
6 years of high-level backend development experience
Strong foundational knowledge in distributed systems
Hands-on experience with Python, Go, Docker, and Kubernetes
Experience in end-to-end development of production-grade services
Other Requirements:
Experience in building LLM-based applications
Responsibilities:
Architect, develop, and test cloud-native microservices
Engage with AI technologies and LLM frameworks
Collaborate with cross-functional teams
Mentor team members
Design and build systems with security at the forefront
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Senior Platform Engineer (Backend)
Automate security operations at scale with an agentic platform that uses specialized micro-agents to reason through complex threats and execute auditable actions.
Experience Requirements:
5+ years of backend development experience
Understanding of internet protocols and OS fundamentals
Experience with cloud-native architecture
Proficiency in Go or other backend languages
Experience with cloud platforms and IaC tools
Other Requirements:
Knowledge of databases and message brokers
Responsibilities:
Design, develop, and test cloud-native microservices
Own key areas of platform infrastructure
Collaborate with engineering and product teams
Drive best practices in code quality and system design
Share knowledge through code reviews
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Engineering Manager (Brazil)
Protect financial institutions from fraud and ensure compliance with real-time AI risk decisioning, behavioral biometrics, and automated underwriting workflows.
Experience Requirements:
3+ years of experience managing high-performing backend or platform teams
7+ years of hands-on backend experience working on large scale, low latency distributed systems
Other Requirements:
Strong technical background in Kafka, ClickHouse, Postgres, Redis, and Flink
Experience managing teams working in Java
Comfortable in high-growth, fast-paced environments
Responsibilities:
Lead and grow a team of backend engineers working on core systems
Guide technical design and architecture decisions for systems handling millions of events
Partner with product and engineering leadership to define roadmaps
Create a culture of ownership, technical excellence, and rapid iteration
Support team members in their growth through mentoring and feedback
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Full-Stack Engineer – AI Agent Platform (Fraud, Risk & AML)
Protect financial institutions from fraud and ensure compliance with real-time AI risk decisioning, behavioral biometrics, and automated underwriting workflows.
Benefits:
Competitive salary and equity packages, including a 401k
Remote-first culture — work from anywhere
100% Employer covered comprehensive health, dental, and vision insurance
Unlimited PTO policy
Regular team events and offsites
Experience Requirements:
4+ years of experience as a Full-Stack or Backend Engineer
Proven ability to take products from zero to one in fast-moving environments
Other Requirements:
Strong understanding of distributed systems, system design, and cloud-native architectures
Curiosity and hacker mentality
Bonus: Experience with AWS Bedrock
Bonus: Experience with LLM frameworks (LangGraph, Guardrails, LangChain, etc.)
Bonus: Background in financial risk or fraud detection systems
Responsibilities:
Design and build full-stack systems powering Oscilar’s next-gen AI agents
Implement serverless architectures using AWS Lambda and Python
Experiment with agentic frameworks, LLM-driven automation, and reasoning systems
Collaborate directly with founders and product leaders
Apply practical AI for data storytelling, graph reasoning, and case automation
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Sr./Staff Backend Engineer - Java
Protect financial institutions from fraud and ensure compliance with real-time AI risk decisioning, behavioral biometrics, and automated underwriting workflows.
Education Requirements:
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
Experience Requirements:
5+ years of experience in backend software development
Focus on Java and AWS technologies
Strong experience in building and operating low latency, high scale services
Other Requirements:
Proficient in Java programming and its ecosystem
Knowledge of microservices architecture and containerization
Familiarity with distributed data systems (Kafka, Clickhouse)
Experience with CI/CD tools and agile development methodologies
Excellent problem-solving skills and attention to detail
Responsibilities:
Design and develop scalable, high-performance, low-latency backend services
Collaborate with product management, frontend, and QA teams
Optimize and enhance existing services for maximum performance
Identify and resolve bottlenecks in the system
Implement best practices for code quality, testing, and deployment
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Sr./Staff Backend Engineer - Java/Kafka
Protect financial institutions from fraud and ensure compliance with real-time AI risk decisioning, behavioral biometrics, and automated underwriting workflows.
Experience Requirements:
8+ years of experience with Java in large-scale, distributed environments
Extensive experience with Apache Kafka (Streams, Connect, partitioning)
Strong experience with AWS services
Proven ability to diagnose and resolve bottlenecks in streaming and database systems
Other Requirements:
Experience integrating Kafka with analytics solutions like ClickHouse
Knowledge of event-driven architecture and streaming patterns
Hands-on experience with monitoring tools (Prometheus, Grafana)
Proficiency with Postgres, Redis, ClickHouse, and DynamoDB
Responsibilities:
Design, develop, and maintain scalable backend services using Java
Lead the architecture, deployment, and optimization of Apache Kafka
Build and manage Kafka topics, brokers, producers, and consumers
Implement streaming solutions with Kafka Streams and Kafka Connect
Design and maintain high-performance data storage solutions
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Staff Software Engineer - GenAI
Protect financial institutions from fraud and ensure compliance with real-time AI risk decisioning, behavioral biometrics, and automated underwriting workflows.
Benefits:
Competitive salary and equity packages, including a 401k
Remote-first culture — work from anywhere
100% Employer covered comprehensive health insurance
Unlimited PTO policy
Regular team events and offsites
Education Requirements:
Bachelor’s or master’s degree in computer science, Software Engineering, or a related field
Experience Requirements:
7+ years of backend software development experience
3+ years focusing on AI/ML, including hands-on experience with generative AI models
Strong expertise in Python or Java and AWS technologies
Experience deploying and optimizing AI/ML models in production environments
Other Requirements:
Familiarity with microservices architecture and RESTful APIs
Experience with distributed data systems such as Kafka or ClickHouse
Strong understanding of CI/CD tools and agile methodologies
Excellent problem-solving abilities
Responsibilities:
Design and implement scalable backend services leveraging generative AI models
Collaborate with product, frontend, and QA teams
Optimize AI models and backend services for performance and scalability
Identify and resolve bottlenecks related to AI processing
Implement best practices for deploying, monitoring, and maintaining AI models
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Sr./Staff Android Developer (Brazil)
Protect financial institutions from fraud and ensure compliance with real-time AI risk decisioning, behavioral biometrics, and automated underwriting workflows.
Benefits:
Competitive salary and equity packages, including a 401k
Remote-first culture — work from anywhere
100% Employer covered comprehensive health insurance
Unlimited PTO policy
Regular team events and offsites
Education Requirements:
Bachelor's degree in Computer Science, Software Engineering, or a related field
Experience Requirements:
Minimum 5 years of Android development experience
Strong proficiency in Java and Kotlin
Deep understanding of Android SDK and AOSP internals
Experience with RESTful APIs, JSON, and integrating with backend services
Other Requirements:
Familiarity with cloud computing concepts, data warehousing, and SQL
Knowledge of basic machine learning concepts
Experience with version control systems (Git)
Proficiency in using Android Studio IDE, ADB, and emulator
Experience with fraud prevention or fintech applications is a bonus
Responsibilities:
Lead the research, design, prototyping, and deployment of Android solutions
Develop and maintain high-performance Android client agents
Collaborate with cross-functional teams (Product, Frontend, DS)
Stay updated on latest Android platform capabilities and AI/ML frameworks
Research and implement new innovations in mobile security
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Developer Relations Engineer
Connect observability, evaluations, and testing into a continuous improvement loop to build high-quality AI products faster with a unified engineering platform.
Benefits:
Offers Equity
Experience Requirements:
Authorized to work in the US
Experience highlighting a project you are particularly proud of
Other Requirements:
Willingness to work on-site in Boulder, CO
Commitment to travel and spend one week per month with on-site team for non-local candidates
LinkedIn URL
Github URL
Responsibilities:
Value in-person and synchronous interactions as a core component of company culture
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Chief Technology Officer
Scale your professional presence and sales workflows with AI agents that mimic your voice and expertise to book more meetings and qualify leads automatically.
Benefits:
Hybrid-First
Meaningful equity
Rapid learning
High standards
Collaborative spirit
Experience Requirements:
10+ years
Other Requirements:
TypeScript
Node.js
Technical best practices
Responsibilities:
Lead our technical vision
Lead product development
Shape the future of our platform
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Senior Software Engineer
Scale your professional presence and sales workflows with AI agents that mimic your voice and expertise to book more meetings and qualify leads automatically.
Benefits:
Hybrid-First
Meaningful equity
Rapid learning
High standards
Collaborative spirit
Experience Requirements:
5+ years
Responsibilities:
Build and scale our platform using modern technologies
Lead technical initiatives
Mentor other developers
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Sr.Director/Director/Sr. Manager Engineering
Repurpose text articles into high-quality videos to reach video-first audiences and unlock new revenue streams with AI-driven assembly and human expert polish.
Benefits:
Competitive salary and benefits package
Flexible working hours and remote work options
Dynamic, collaborative, and innovative work environment
Opportunities for career growth and skill development
Access to mentorship
Education Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Experience Requirements:
10 Years
Proven experience in web development (React, Angular, or similar frameworks)
Experience leading and managing technical teams
Solid understanding of CI/CD pipelines, version control systems (Git), and Agile
Experience with databases (SQL, NoSQL) and designing APIs
Other Requirements:
Strong knowledge of AWS cloud services
Familiarity with AI and machine learning concepts
Strong analytical, problem-solving, and troubleshooting skills
Excellent communication skills
Experience with video streaming and related technologies
Familiarity with DevOps practices and tools
Responsibilities:
Lead and mentor a team of front-end and back-end developers
Oversee the development of dynamic, responsive web applications
Oversee the integration of AI technologies into the platform
Work closely with product managers, designers, and other stakeholders
Establish and maintain coding standards and best practices
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AI Infrastructure Engineer
Orchestrate enterprise AI agents to automate data extraction and complex workflows using a no-code visual builder designed for finance, IT, and healthcare teams.
Benefits:
Offers Equity
Experience Requirements:
4+ years of backend engineering (Python is a must)
Strong background in distributed systems, job orchestration, and task queues
Deep knowledge of concurrency, parallelism, and multithreading
Other Requirements:
Hands-on experience with Temporal, Redis, Airflow, Celery, RabbitMQ
Comfortable with containers & orchestration: Docker, Kubernetes
Familiarity with cloud platforms (AWS/GCP) and IaC (Terraform)
Responsibilities:
Design and implement scalable backend architectures for AI workloads
Own distributed job orchestration with Temporal and related systems
Improve data pipeline performance by designing smarter caching strategies
Build observability, monitoring, retries, and fault tolerance
Manage infrastructure reliability, incident response, and performance
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Lead QA Engineer
Orchestrate enterprise AI agents to automate data extraction and complex workflows using a no-code visual builder designed for finance, IT, and healthcare teams.
Benefits:
Offers Equity
Experience Requirements:
2–4 years of experience in QA, Test Automation, or Software Testing
Proficient in Python
Familiarity with JavaScript/TypeScript (Cypress, Playwright, or Jest)
Other Requirements:
Experience testing APIs (REST/GraphQL) and web applications
Understanding of software lifecycles, Git, and CI/CD
Responsibilities:
Design, write, and execute test plans for new features
Develop and maintain automated test suites
Own and extend test automation framework
Integrate testing into CI/CD pipelines
Partner with Product and Engineering to understand user workflows
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Senior AI/ML Engineer
Orchestrate enterprise AI agents to automate data extraction and complex workflows using a no-code visual builder designed for finance, IT, and healthcare teams.
Benefits:
Offers Equity
Education Requirements:
Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related fields
PhD in a relevant field (Preferred)
Experience Requirements:
Proven experience in machine learning and AI, with a focus on generative models
Knowledge of retrieval-augmented generation pipelines
Strong proficiency in Python and frameworks like TensorFlow or PyTorch
Other Requirements:
Experience with embedding techniques
Excellent problem-solving skills
Strong communication and collaboration skills
Responsibilities:
Enhance retrieval-augmented generation (RAG) capabilities
Work on embedding generation techniques
Stay abreast of latest developments in AI models
Collaborate with backend and frontend teams
Listen to user needs and dive into customer support
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Senior DevOps Engineer
Orchestrate enterprise AI agents to automate data extraction and complex workflows using a no-code visual builder designed for finance, IT, and healthcare teams.
Benefits:
Offers Equity
Experience Requirements:
5+ years of experience in DevOps, Cloud, or Infrastructure engineering
Strong expertise with Kubernetes, Terraform, Docker, and IaC
Hands-on experience with AWS, Azure, and/or GCP
Other Requirements:
Solid background in CI/CD pipelines
Comfort with scripting/programming (Python, Bash)
Experience with monitoring & observability tools
Responsibilities:
Design, implement, and maintain cloud infrastructure
Manage and optimize containerized applications in Kubernetes
Drive Infrastructure as Code to standardize environments
Architect and maintain CI/CD pipelines
Implement monitoring, logging, and alerting
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