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🔥 Lead Engineer, Applied AI
Posted 22 minutes ago

📍 Worldwide

🧭 Full-Time

💸 160000.0 - 180000.0 USD per year

🔍 Software Development

  • 5+ years experience working as a full-stack engineer on complex web applications.
  • Strong proficiency in Ruby on Rails, MySQL/Postgresql, ReactJS.
  • Strong proficiency in at least one programming language commonly used for AI development ( Python, JavaScript, TypeScript ).
  • You have deployed at least one AI Agent to production, with a deep understanding of the entire development lifecycle — from initial concept to final deployment with customer feedback loops.
  • You have experience leading a team of engineers, especially in growth-focused environments.
  • Hands-on experience with AI frameworks and tools, such as OpenAI, Anthropic, Hugging Face, LangChain, and vector databases.
  • Strong understanding of NLP, ML, and LLM fundamentals - including modern LLM technologies, RAG, and prompt engineering techniques.
  • Ship full-stack AI projects end to end - exciting projects such as AI Agents, Retrieval-Augmented Generation (RAG), Structured Extraction, internal tooling for customer-facing teams, and build infrastructure for LLM inference.
  • Own the end-to-end architecture and technical strategy for AI solutions.
  • Hire, onboard, and lead a small team of senior engineers, supporting their growth and ensuring high-impact execution.
  • Improve processes, tools, and systems to scale AI solutions across Circle.
  • Optimize AI infrastructure for performance, reliability, and cost-efficiency.
  • Help us stay up-to-date with the cutting-edge AI research, techniques, and tools.

Backend DevelopmentLeadershipPostgreSQLPythonFrontend DevelopmentJavascriptMachine LearningMySQLReact.jsRuby on RailsTypeScript

Posted 22 minutes ago
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📍 Brazil

🧭 Full-Time

🔍 Software Development

🏢 Company: Grupo QuintoAndar

  • Solid understanding of the engineering challenges of deploying machine learning systems to production;
  • Solid understanding of systems, software and data engineering best practices;
  • Proficiency with cloud-based services;
  • Proficiency in Python or another major programming language;
  • Have experience building backend systems, event driven architectures and rest/http applications
  • Have experience building solutions with LLMs (RAG, fine-tuning);
  • Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI);
  • Experience leading teams and managing careers.
  • Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
  • Be a technical reference to the team, including doing hands-on engineering work.
  • Shaping the technical direction of our products, translating business requirements into solutions.
  • Discuss business requirements with the Product Manager and other stakeholders.

AWSBackend DevelopmentDockerLeadershipProject ManagementPythonSoftware DevelopmentSQLArtificial IntelligenceCloud ComputingKubernetesMachine LearningSoftware ArchitectureAlgorithmsData engineeringData scienceData StructuresREST APICommunication SkillsCI/CDAgile methodologiesRESTful APIsExcellent communication skillsProblem-solving skillsTeam managementTechnical supportData modeling

Posted about 8 hours ago
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📍 Portugal

🧭 Full-Time

🔍 Real Estate Tech

🏢 Company: Grupo QuintoAndar

  • Solid understanding of the engineering challenges of deploying machine learning systems to production
  • Proficiency with cloud-based services
  • Proficiency in Python or another major programming language
  • Have experience building backend systems, event driven architectures and rest/http applications
  • Have experience building solutions with LLMs (RAG, fine-tuning)
  • Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI)
  • Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
  • Be a technical reference to the team, including doing hands-on engineering work.
  • Shaping the technical direction of our products, translating business requirements into solutions.
  • Discuss business requirements with the Product Manager and other stakeholders.

AWSBackend DevelopmentDockerLeadershipPythonSoftware DevelopmentSQLApache AirflowCloud ComputingFlaskKubernetesMachine LearningNumpyData engineeringData scienceRDBMSREST APIPandasCommunication SkillsCI/CDRESTful APIs

Posted about 8 hours ago
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🔥 AI Software Engineer
Posted about 8 hours ago

📍 US, Canada, & Latin America

🧭 Full-Time

💸 105000.0 - 140000.0 USD per year

🔍 Software Development

🏢 Company: Superhuman

  • You have 3-6+ years of software engineering experience, with 2+ years of AI-focused work.
  • You’re an expert in backend technologies such as Go or Python.
  • You have expertise in AI technologies such as working with ML models, LLMs, NLPs, fine-tuning, etc.
  • You have a strong foundation in software engineering principles that prioritize high-quality, maintainable code that adheres to best practices.
  • You're able to identify problems, propose solutions, and make informed decisions to drive forward our AI efforts.
  • You're comfortable dealing with ambiguity and can think critically to make decisions that benefit the company and our users.
  • You have a deep understanding of hosted and open-source models and algorithms.
  • You can leverage, implement, and optimize these models to solve complex problems and deliver value to our users.
  • Successfully implement AI features that enhance user experience and drive user engagement
  • Ensure all AI code released is robust, scalable, and maintainable
  • Stay at the forefront of AI technology and research, integrating relevant findings and technologies into our systems
  • Foster cross-functional collaboration, ensuring AI solutions align with overall company goals
  • Uphold ethical AI practices, ensuring our AI initiatives are responsible and respectful of user privacy

Backend DevelopmentPythonArtificial IntelligenceMachine LearningMLFlowNumpyAlgorithmsGoTensorflowSoftware Engineering

Posted about 8 hours ago
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📍 USA

🧭 Full-Time

🔍 Software Development

🏢 Company: Spring & Bond👥 11-50Digital MarketingAdvertisingDigital MediaConsulting

  • Master’s degree in data science, Statistics, Mathematics, Computer Science, or related field (PhD preferred)
  • 5+ years of analytics experience
  • Minimum of 4 years’ hands-on experience in machine learning and relational databases.
  • Proficient in data manipulation using SQL, Python, and/or similar programming languages.
  • Solid understanding of media metrics, digital/social analytics, ad technology, and TV ratings.
  • Strong project-management skills managing cross-functional workflows.
  • Proven ability to build and maintain client relationships.
  • Mentor data scientists, fostering collaboration and professional growth.
  • Develop and execute a data-science strategy aligned with company objectives.
  • Design, implement, and optimize predictive models and machine-learning algorithms.
  • Partner with software engineers, product managers, and business units to deliver client-facing solutions.
  • Leverage SQL, Python, and R-Shiny to extract insights from large numeric and textual datasets.
  • Manage model lifecycle: design, training, evaluation, validation, and deployment.
  • Translate complex analytical results into clear business recommendations and compelling visualizations.
  • Define and track key performance indicators (KPIs), ensuring data accuracy, integrity, and security.
  • Analyze digital trends, user behavior, and product performance.
  • Oversee digital data infrastructure in Snowflake to maintain data health and quality along with Data Engineering team.
  • Create and maintain technical documentation (system flows, data flows, architecture diagrams) in GitHub repository.
  • Support measurement strategies, including learning agendas, test plans, and frameworks.
  • Collaborate regularly with stakeholders to address digital data needs and challenges.
  • Educate research and business teams on data-best practices and infrastructure.

PythonSQLData AnalysisMachine LearningSnowflakeAlgorithmsData scienceData visualizationData modeling

Posted about 9 hours ago
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📍 United States

🧭 Full-Time

🔍 Marketplace

🏢 Company: CitizenShipper

  • 5+ years of experience in ML/AI (industry, startup, or serious research)
  • Has built and deployed ML systems at scale (not just notebooks)
  • Understands LLMs, embeddings, transformers, and how to bend them to your will
  • Is dangerously good with Python, vector DBs, and modern ML tooling
  • Has an instinct for product, not just precision
  • Build and ship models that solve real, high-leverage business problems
  • Own the entire ML lifecycle: framing → data → modeling → deployment → iteration
  • Architect data infrastructure and design pipelines that scale
  • Prototype fast, validate faster, deploy in the wild, and learn even faster
  • Explore LLM and agent-based systems for internal tooling and CX optimization
  • Push boundaries with real-time, production-grade AI — not sandbox toys

PythonMachine Learning

Posted about 9 hours ago
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🔥 VP of R&D
Posted about 11 hours ago

📍 United States

🧭 Full-Time

🔍 Cloud Security

🏢 Company: Tamnoon.io

  • 10+ years in backend, infrastructure, or platform engineering with a strong R&D orientation; ideally 3+ in a leadership capacity.
  • Proven experience designing and shipping complex, secure systems in the cloud (AWS, GCP, or Azure).
  • Deep hands-on fluency with LLMs, retrieval-augmented generation (RAG), autonomous agents, and open-source AI tooling (e.g., LangChain, OpenAI/Anthropic APIs, vector DBs).
  • Track record of building and leading cross-functional, high-agency engineering teams that move fast and build for scale.
  • Strong product sense and ability to connect research breakthroughs with end-user value.
  • Excellent collaboration and communication skills—especially in remote, distributed environments.
  • Lead Technical Innovation at the Frontier
  • Define and execute a vision for embedding LLMs, agents, and decision systems into Tamnoon’s remediation workflows.
  • Architect AI-native components (e.g., secure retrieval pipelines, multi-agent orchestration, feedback loops) with performance, security, and explainability in mind.
  • Introduce and iterate on new AI features that give customers clarity, control, and confidence in automation.
  • Mentor and hire a diverse, high-performing team of full-stack, backend engineers, and machine learning individuals
  • Foster a culture of engineering excellence and ownership, where innovation thrives but reliability and security remain uncompromised.
  • Lead technical design reviews, research prototyping cycles, and production readiness processes.
  • Partner closely with Product and Security to translate vision into roadmap and roadmap into reality—without losing agility.
  • Shape technical direction through a deep understanding of both infrastructure risk and user pain.
  • Balance short-term impact and long-term investment across experimentation, core system improvements, and platform evolution.
  • Represent Tamnoon in technical due diligence, investor briefings, and AI/security thought leadership opportunities.
  • Stay on top of the latest in open-source AI, cloud architecture, and cybersecurity to bring the best ideas into the fold.

AWSBackend DevelopmentDockerLeadershipPythonSoftware DevelopmentSQLArtificial IntelligenceCloud ComputingCybersecurityFull Stack DevelopmentGCPKubernetesMachine LearningPeople ManagementProduct ManagementSoftware ArchitectureCross-functional Team LeadershipAlgorithmsAzureData StructuresCI/CDRESTful APIs

Posted about 11 hours ago
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📍 United States, Canada

🔍 Healthcare

🏢 Company: Veradigm👥 5001-10000💰 $100,000,000 Post-IPO Equity almost 10 years agoInformation ServicesElectronic Health Record (EHR)HospitalInformation TechnologyHealth Care

  • Master’s degree in Data Science, Computer Science, Biomedical Informatics, or a related field.
  • Proficiency in Python and SQL.
  • Experience developing ML models, particularly with NLP techniques and libraries (spaCy, Scikit-learn, etc.).
  • Experience with Azure OpenAI or other large language models.
  • Familiarity with EMR systems, healthcare data standards (e.g. ICD-10, SNOMED).
  • Exposure to cloud environments and big data tools (e.g., Snowflake, Azure, Spark).
  • Demonstrated ability to work with clinical text and health data (e.g., EMRs).
  • Design, develop, and deploy NLP and ML models using Python to extract insights from unstructured and semi-structured clinical text.
  • Leverage Azure OpenAI and other LLM frameworks to enhance clinical data structuring and semantic understanding.
  • Partner closely with clinical subject matter experts to validate models, ensuring high precision and accuracy in clinical contexts.
  • Iterate on model development using feedback from real-world applications and clinician review.
  • Collaborate with Operations teams to design, implement, and optimize an end-to-end data science pipeline from R&D to production.
  • Ensure data integrity, reproducibility, and compliance with healthcare regulations and best practices.
  • Work with clients and stakeholders to identify key business problems and expected outcomes.
  • Explore and assess internal and external data sources to extract relevant features and patterns.
  • Communicate findings, methodologies, and actionable insights to both technical and non-technical audiences.

PythonSQLCloud ComputingData AnalysisETLMachine LearningAlgorithmsAzureData scienceData StructuresCI/CDRESTful APIsData visualization

Posted about 11 hours ago
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📍 Ukraine

🧭 Contract

🔍 Education

🏢 Company: ELVTR👥 51-100EducationE-LearningTraining

  • Hands-on experience with multiple LLMs, image/audio generators, and automation platforms.
  • Comfort with SQL / Python /Vibe coding for quick-and-dirty analytics and dashboarding.
  • Familiarity with data-privacy / governance frameworks (GDPR, SOC-2, ISO 27001).
  • Build a bite-sized “ELVTR AI Academy” (videos, live labs, cheat-sheets); run weekly office hours; host one knockout demo day per month.
  • For each department, identify the five biggest time-sinks and ship AI-augmented SOPs that slash ≥ 25 % off time-to-done.
  • Maintain our “Approved AI Stack,” balance wow-factor with security and cost, run rapid pilots, kill bad bets fast.
  • Launch a searchable library of prompts, templates, and case studies—refresh it weekly.
  • Own a lightweight exec dashboard (hours saved, quality lifted, dollars earned) and translate dry numbers into punchy narratives.
  • Work with the CEO to nurture an “AI-first” mindset, build a guild of department AI champions, celebrate wins, crush FUD, and keep experimentation fun.

PythonSQLArtificial IntelligenceData AnalysisMachine LearningProduct OperationsAzureCommunication SkillsComplianceData visualizationData modelingData analytics

Posted about 12 hours ago
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📍 Poland

🧭 Full-Time

🔍 Software Development

  • Very high sense of ownership
  • Passion for building robust products
  • Good understanding of Product and Business metrics
  • Demonstrated leadership experience in R&D, AI Solutions or related fields (nice to have).
  • Proven track record of working in a pioneering environment, especially within early-stage startups.
  • Strong team-building and leadership abilities, focusing on effective mentorship and coaching.
  • Solid technological expertise and background.
  • Exceptional project management skills, with experience overseeing projects from conception to completion, ensuring timely delivery, stakeholder management and alignment with business objectives.
  • Outstanding communication and interpersonal skills.
  • Highly autonomous and proactive in approach.
  • Experience with leading and coordinating multiple teams and departments (nice to have)
  • Growth mindset
  • Lead a team of 8 senior software engineers.
  • Facilitates technical decisions in a direction that meets the requirements.
  • Work closely with the team's technical and product leaders to develop an accurate technological and product strategy.
  • Facilitate communication within the team and across different areas to ensure alignment on project goals and objectives.
  • Manage external agencies supporting solutions development.
  • Develop project scopes and objectives that involve all relevant stakeholders and ensure technical feasibility.
  • Act as a hands-on project manager and people leader throughout the process.
  • Ensure that all projects are delivered on time, within scope, and budget.
  • Proper risk assessments and trade-off management
  • Support the go-to-market strategy.
  • Support the development of a platform and infrastructure strategy.
  • Collaborate with Data Scientists and ML/Ops teams to ensure effective coordination between teams.
  • Build strong relationships with stakeholders, tech leaders, product managers, and legal and security teams.
  • Provide guidance, mentorship, and coaching inside the team.
  • Provide regular feedback to team members and assist them in setting and achieving their personal career goals.
  • Regularly assess, support, and action the performance of team members.
  • Foster a team culture that values collaboration, innovation, and inclusivity.

LeadershipProject ManagementSoftware DevelopmentAgileArtificial IntelligenceMachine LearningPeople ManagementProduct ManagementSCRUMProject CoordinationCross-functional Team LeadershipCommunication SkillsAnalytical SkillsMentoringCoachingTeam managementStakeholder managementStrategic thinking

Posted about 12 hours ago
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