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πŸ“ Portugal

🧭 Full-Time

πŸ” 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 2 hours ago
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πŸ“ Spain

🧭 Full-Time

🏒 Company: RossumπŸ‘₯ 251-500πŸ’° Debt Financing over 1 year agoArtificial Intelligence (AI)SaaSMachine LearningDocument ManagementSoftware

  • Ex-programmer
  • Love solving puzzles
  • Communicate designs and ideas clearly and descriptively
  • Asking the right questions
  • Understand the general principles of good security practices
  • UX-sensitive
  • Understanding customers' needs and tailoring customized solutions.
  • Creating descriptive and actionable backlogs for developers based on customer requirements.
  • Contextualizing technical decisions by their business impact.
  • Communicating designs and ideas clearly, ensuring developers can follow through effectively.
  • Asking the right questions to reveal customer pain points and their true source.
  • Identifying potential security risks to both the solution and the overall delivery process.

AWSPostgreSQLPythonDjangoFlaskJavascriptKubernetesSoftware ArchitectureREST APICommunication SkillsRESTful APIsStakeholder managementData modelingCustomer Success

Posted about 3 hours ago
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πŸ“ United States, Canada

πŸ’Έ 100000.0 - 125000.0 USD per year

🏒 Company: huroncareers

  • Minimum of 4 years of hands-on experience in AI/ML development or intelligent application engineering
  • Proficiency in Python and familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
  • Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks
  • Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases
  • Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)
  • Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services
  • Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring is a plus
  • Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus
  • Knowledge of AI system evaluation, observability, or prompt performance testing is a plus
  • Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences
  • Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) is a plus
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
  • Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings
  • Build intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar
  • Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption
  • Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training
  • Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning
  • Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production
  • Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case
  • Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities

AWSBackend DevelopmentDockerPythonSoftware DevelopmentSQLCloud ComputingData AnalysisFlaskFrontend DevelopmentKubernetesMachine LearningPyTorchAlgorithmsAPI testingAzureData engineeringData scienceFastAPITensorflowCommunication SkillsAnalytical SkillsCI/CDProblem SolvingRESTful APIsAdaptabilityTeamworkJSONData modelingData managementDebugging

Posted about 13 hours ago
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πŸ“ United States

🧭 Contract

πŸ’Έ 80.0 - 105.0 USD per hour

πŸ” Tech

🏒 Company: The Motley FoolπŸ‘₯ 501-1000πŸ’° $25,000,000 Private over 15 years agoPublishingConsultingNewsFinancial ServicesMarketing

  • 5+ years of experience building, delivering, enhancing, and maintaining apis consumed by multiple systems using a Python-based framework like Django, FastApi, or Flask
  • Significant experience with performance optimization (async processing, caching, queuing, and query optimization)
  • Experienced with high-volume systems - hundreds of thousands of users and transactions per day
  • Experienced with system monitoring and telemetry
  • Experienced working with relational databases, ORMs, and SQL
  • Skilled at developing full-stack web applications
  • Ability to translate business goals and requirements into technical solutions
  • Proven track record in high-performance teams, where cross-functional collaboration is valued
  • Excellent problem-solving and communication skills
  • Knowledge of investing and/or finance
  • Contribute to the development and execution of Motley Fool’s investing microservices, ensuring alignment with business objectives
  • Responsible for systems and data core to our investing products, website, tools, and subscribers including: US and international market data, Portfolio holdings and returns, Corporate actions, Company fundamentals, Crypto, Options, and IPOs, Automated aggregation of subscriber portfolios across brokerages
  • Responsible for in-house systems that manage trading compliance and holdings disclosures
  • Integrate with a variety of third party providers and tools
  • Ensure calculations are accurate with automated tests to validate
  • Ensure critical data is fresh and highly available with failover capabilities
  • Collaborate with the team’s product owner and project manager to set the team up for success with shovel ready work that has the value and acceptance criteria clearly defined
  • Conduct regular 1:1s with direct reports
  • Regularly review code, contributions, and delivery flow to identify opportunities for improvement and optimization
  • Drive professional development and career growth opportunities for team members
  • Partner with multiple in-house teams and external providers to launch subscriber-facing solutions
  • Find ways to leverage AI tools like Claude or GitHub Copilot to assist the team (e.g. architectural concepts and diagrams, starter code, automated tests)

Backend DevelopmentDockerLeadershipPythonSQLDjangoFlaskFull Stack DevelopmentFastAPICommunication SkillsCI/CDRESTful APIsMicroservicesData modeling

Posted about 18 hours ago
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πŸ“ LATAM

🧭 Full-Time

πŸ” Software Development

🏒 Company: NearsureπŸ‘₯ 501-1000Staffing AgencyOutsourcingSoftware

  • 5+ Years of experience working with the Python programming language, with the ability to work across AI, infrastructure, and tooling codebases.
  • 3+ Years of experience working in cloud environments (AWS or GCP).
  • 2+ Years of experience working with scripting languages (e.g., Bash, Go).
  • 1+ Years of experience working with containerization (Docker) and orchestration (Kubernetes), and with CI/CD systems and infrastructure automation tools (e.g., Terraform, Ansible).
  • 1+ Years of practical, hands-on experience with code-generation tools such as Codex, StarCoder, Claude, or GPT family.
  • Solid understanding of the full Software Development Lifecycle (planning, coding, testing, releasing, monitoring).
  • Practical, hands-on experience with large language models (LLMs).
  • Experience prototyping, benchmarking, and deploying AI solutions to improve developer workflows.
  • Strong understanding of software development automation and developer productivity enhancement techniques.
  • Familiarity with prompt engineering and retrieval-augmented generation (RAG) pipelines.
  • Ability to explain complex AI solutions and technical concepts to cross-functional and non-technical teams.
  • Research-driven mindset with curiosity for testing new AI ideas, tools, and approaches.
  • Strong problem-solving skills focused on identifying inefficiencies and applying AI to increase delivery velocity.
  • Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.
  • Build AI-powered tools to enhance each stage of the SDLC: from code generation and code reviews to testing, documentation, and deployment.
  • Develop internal assistants and copilots to reduce cognitive load and empower developers to move faster with fewer manual steps.
  • Automate repetitive development and operational tasks (e.g., writing IaC, generating release notes, updating documentation).
  • Investigate GenAI solutions (e.g., GitHub Copilot, CodeLlama, GPT-Engineer) to improve CI/CD workflows and eliminate friction in delivery pipelines.
  • Design, benchmark, and deploy AI-driven solutions that reduce lead time, increase deployment frequency, and enhance reliability.
  • Explore custom model fine-tuning and retrieval-augmented generation (RAG) approaches when needed.
  • Prototype features like AI-driven deployment optimizations, cost-aware autoscaling, or predictive incident resolution.
  • Embed AI into DevOps processes to identify bottlenecks, automate root cause analysis, and surface continuous delivery insights.
  • Collaborate with SRE and developer experience teams to evolve our Internal Developer Platform (IDP) with intelligent automation.
  • Partner with engineering, DevOps, and product teams to identify key pain points and deliver impactful AI interventions.
  • Share findings through workshops, whitepapers, and internal demos to scale learnings across the organization.

AWSBackend DevelopmentDockerPythonSoftware DevelopmentArtificial IntelligenceBashCloud ComputingData AnalysisFlaskFrontend DevelopmentFull Stack DevelopmentGCPKubernetesMachine LearningNumpyAlgorithmsAPI testingData StructuresFastAPIGoWebRTCPandasTensorflowCI/CDRESTful APIsDevOpsTerraformJSONAnsibleSoftware EngineeringDebugging

Posted 2 days ago
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πŸ“ Europe, South Africa

🧭 Full-Time

πŸ” Air Cargo

🏒 Company: cargo.one

  • Strong foundation in Python
  • Experience with SQL
  • Understanding the workings of web applications
  • Contribute to feature designs and architectural decisions
  • Ensure the quality of the work
  • Refine and write tickets
  • Provide and receive feedback

Backend DevelopmentPostgreSQLPythonSQLFlaskGCPKubernetesgRPCRedisCommunication SkillsCI/CDProblem SolvingRESTful APIsDocumentationAdaptabilityTeamworkVerbal communicationSoftware EngineeringDebugging

Posted 2 days ago
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πŸ“ Spain

🧭 Full-Time

🏒 Company: RossumπŸ‘₯ 251-500πŸ’° Debt Financing over 1 year agoArtificial Intelligence (AI)SaaSMachine LearningDocument ManagementSoftware

  • Ex-programmer
  • UX-sensitive
  • Understanding the general principles of good security practices and can identify potential risks.
  • Know your stakeholders, what is important to them, and how to communicate with them effectively.
  • Familiar with the end-to-end development process, having participated in a dev process in some capacity (experience with JIRA is a plus).
  • Understanding customers' needs and tailoring customized solutions.
  • Creating descriptive and actionable backlogs for developers based on customer requirements.
  • Contextualizing technical decisions by their business impact.
  • Communicating designs and ideas clearly, ensuring developers can follow through effectively.
  • Asking the right questions to reveal customer pain points and their true source.
  • Identifying potential security risks to both the solution and the overall delivery process.

PostgreSQLPythonDjangoFlaskJavascriptKubernetesSoftware ArchitectureAPI testingCommunication SkillsAnalytical SkillsProblem SolvingAgile methodologiesStakeholder managementData modelingCustomer Success

Posted 4 days ago
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πŸ“ France

🧭 Full-Time

πŸ” Data Engineering

🏒 Company: Filigran

  • You’ve already trained and deployed machine learning models in production environments
  • Proficient in Python, and familiar with its full-stack usage (packaging, logging, FastAPI, Flask)
  • Strong autonomy: you can take a scoped project and drive it independently
  • Solid understanding of software engineering best practices: versioning, code reviews, pair programming
  • Product-oriented mindset: you care about UX, data value, and user outcomes
  • Design and prototype ML models and AI features (e.g. Named Entity Recognition for CTI enrichment)
  • Translate concepts into PoCs and MVPs to validate value
  • Maintain and improve our growing AI/ML pipelines
  • Collaborate closely with engineers to ensure smooth downstream integration into our open-source platforms
  • Conduct technical watch and apply state-of-the-art practices
  • Contribute to the growth of our enterprise data platform
  • Ensure code quality, reliability and test automation via reviews and collaboration

DockerPythonSQLApache AirflowFlaskGitKubernetesMachine LearningMLFlowNumpyData engineeringFastAPIREST APIPandasCI/CDData visualizationData modelingSoftware Engineering

Posted 7 days ago
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πŸ“ Spain

🧭 Full-Time

🏒 Company: RossumπŸ‘₯ 251-500πŸ’° Debt Financing over 1 year agoArtificial Intelligence (AI)SaaSMachine LearningDocument ManagementSoftware

  • Ex-programmer
  • Love solving puzzles
  • Communicate designs and ideas clearly and descriptively
  • Excel at asking the right questions
  • Understand the general principles of good security practices
  • Know your stakeholders
  • UX-sensitive
  • Familiar with the end-to-end development process
  • Understanding customers' needs and tailoring customized solutions.
  • Creating descriptive and actionable backlogs for developers based on customer requirements.
  • Contextualizing technical decisions by their business impact.
  • Communicating designs and ideas clearly, ensuring developers can follow through effectively.
  • Asking the right questions to reveal customer pain points and their true source.
  • Identifying potential security risks to both the solution and the overall delivery process.

PostgreSQLPythonDjangoFlaskJavascriptKubernetesSoftware ArchitectureAPI testingREST APICommunication SkillsCI/CDProblem SolvingAgile methodologiesStakeholder management

Posted 7 days ago
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πŸ“ Europe

🧭 Full-Time

πŸ” Cybersecurity

🏒 Company: Maze

  • 7+ years of experience in backend development
  • Strong experience with backend development, including RESTful API design, database management, and server-side frameworks (e.g., Python).
  • Working knowledge of machine learning principles and experience integrating LLMs or other AI services into production applications. Familiarity with tools like LangChain, LlamaIndex, or similar frameworks is a plus.
  • Familiarity with cloud platforms (e.g., AWS) and their ML services, along with DevOps practices, including CI/CD and containerization (e.g., Docker, Kubernetes).
  • Strong analytical and problem-solving abilities, with a focus on delivering robust and scalable solutions.
  • Understanding of how to architect systems that effectively leverage AI capabilities while maintaining performance and reliability.
  • Excellent communication skills and the ability to work effectively in a cross-functional team.
  • Comfort working in a fast-paced startup environment with the ability to pivot and adapt as needed, particularly in the rapidly evolving AI landscape.
  • Play a pivotal role in the development and scaling of complex AI Agents to tackle some of the biggest challenges in cybersecurity.
  • Design and implement backend systems that effectively support agentic workloads, ensuring they are scalable, maintainable, and secure.
  • Take ownership of the entire development lifecycle, from concept and design to deployment and maintenance.
  • Work closely with other engineers, our designer/product manager to ensure seamless integration of new features and services.
  • Continuously monitor and improve application performance, security, and scalability.
  • Define and enforce coding standards, best practices, and documentation to maintain high code quality.
  • Quickly prototype and iterate on new features, adapting to user feedback and changing requirements.
  • Mentor junior engineers and lead by example in technical discussions and code reviews.

AWSBackend DevelopmentDockerLeadershipPostgreSQLPythonAgileArtificial IntelligenceCloud ComputingFlaskKafkaKubernetesMachine LearningAlgorithmsAPI testingData StructuresREST APICommunication SkillsCI/CDProblem SolvingRESTful APIsMentoringDevOpsMicroservicesAnsibleSoftware Engineering

Posted 7 days ago
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