Role Description We are looking for a Software Developer to build and implement functional programs. You will work with other Developers and Product Managers throughout the software development lifecycle. In this role, you should be a team player with a keen eye for detail and problem-solving skills. If you also have experience in Agile frameworks and popular coding languages (e.g. JavaScript), we’d like to meet you. Your goal will be to build effective programs and systems that serve user needs. - Work with developers to design algorithms and flowcharts - Produce clean, efficient code based on specifications - Integrate software components and third-party programs - Verify and deploy programs and systems - Troubleshoot, debug and upgrade existing software - Gather and evaluate user feedback - Recommend and execute improvements - Create technical documentation for reference and reporting Qualifications - Proven experience as a Software Developer, Software Engineer or similar role - Familiarity with Agile development methodologies - Experience with software design and development in a test-driven environment - Knowledge of coding languages (e.g. C++, Java, JavaScript) and frameworks/systems (e.g. AngularJS, Git) - Experience with databases and Object-Relational Mapping (ORM) frameworks (e.g. Hibernate) - Ability to learn new languages and technologies - Excellent communication skills - Resourcefulness and troubleshooting aptitude - Attention to detail - BSc/BA in Computer Science, Engineering or a related field Company Description

• Contribute to the architecture, design and development of a strong foundation of one of our core platform products • Take ownership for key parts of our application’s frontend and backend architecture • Follow best practices, ensure code coverage, work with CI/CD and meet security compliance requirements • Take responsibility over feature development, overseeing its development, testing, deployment, operations and maintenance • Respond to customer issues, troubleshoot and drive to closure in a timely manner • Build strong relationships within your cross-functional team and facilitate growth and success • Work in a globally active organisation with distributed teams

Role Description Muck Rack is looking for a collaborative and self-motivated senior software engineer, full-stack to join our quickly growing team and make a big impact. - Work closely with software engineers, product managers, and designers to ensure that the content available to our customers meets their expectations. - Work on major technical projects with large data volumes. - Lead the building of new user-facing features. - Help shape our engineering culture and processes. Our tech stack includes Python, Django, Celery, MySQL, Elasticsearch, Vue, and Webpack. Our technology team is focused on scale, quality, delivery, and thoughtful customer experience. We ship frequently without sacrificing work/life balance. Qualifications - 5+ years total professional experience as a software engineer. - Proficiency with Django or a similar framework. - Proficiency with Vue.js or a similar framework. - Proficiency with HTML, CSS, and JavaScript. - If any of the below also describe you, this could be an exciting opportunity: - Worked on a complex, high-traffic site at a startup or software-as-a-service company, ideally with large amounts of data. - Experience with MySQL (or Postgres) and/or ElasticSearch. - Experience with Celery. - Interest in journalism, news, media or social media. - In addition, we’re always looking for candidates who: - Have excellent communication skills, with an ability to explain ideas clearly, give and receive feedback, and work well with team members. - Exhibit a willingness to learn in areas where they have less experience with our tech stack. - Take pride in the quality of their code (Your code should be readable, testable, and understandable years later. You adhere to the Zen of Python). - Work well in a fast-paced development environment with testing, continuous integration and multiple daily deploys. - Have the ability to manage complexity in a large project, and incur technical debt only after considering the tradeoffs. - Take a logical approach to problem solving that combines analytical thinking and intuition. Benefits - Childcare & Parental Leave Benefits. - Health Insurance. - Wellness Benefits. - Professional Development Benefits. - Paid Time Off and Vacation Incentives. Company Description Muck Rack is the leading SaaS platform for public relations and communications professionals. Our mission is to enable organizations to build trust, tell their stories and demonstrate the unique value of earned media. - Founder controlled, fully distributed, and growing sustainably. - Received several awards for its unparalleled culture and product from organizations like Inc., Quartz, G2, and BuiltIn. - Values include resilience, transparency, ownership, & customer devotion.

Job Title: Full-Stack AI Engineer Position Type: Full-Time, Remote Working Hours: U.S. client business hours (with flexibility for model deployments, experimentation cycles, and sprint schedules) About the Role: Our client is seeking a Full-Stack AI Engineer to design, build, and deploy AI-powered applications. This role requires bridging software engineering with applied machine learning, ensuring that models are integrated into production systems that are scalable, reliable, and user-friendly. The Full-Stack AI Engineer combines back-end services, front-end interfaces, and machine learning pipelines to deliver practical, business-driven AI solutions. Responsibilities: AI Model Integration: - Deploy pre-trained and fine-tuned ML/LLM models (OpenAI, Hugging Face, TensorFlow, PyTorch). - Wrap models in APIs (FastAPI, Flask, Node.js) for scalable inference. - Implement vector search integrations (Pinecone, Weaviate, FAISS) for retrieval-augmented generation (RAG). Data Engineering & Pipelines: - Build ETL pipelines for ingesting, cleaning, and transforming text, image, or structured data. - Automate data labeling, preprocessing, and versioning with Airflow, Prefect, or Dagster. - Store and manage datasets in cloud warehouses (Snowflake, BigQuery, Redshift). Application Development (Full-Stack): - Build front-end UIs in React, Next.js, or Vue to surface AI-powered features (chatbots, dashboards, analytics). - Design back-end services and microservices to connect models to business logic. - Ensure responsive, intuitive, and secure interfaces for end users. Infrastructure & Deployment: - Containerize ML services with Docker and deploy to Kubernetes clusters. - Automate CI/CD pipelines for model updates and application releases. - Monitor latency, cost, and model drift with MLflow, Weights & Biases, or custom dashboards. Security & Compliance: - Ensure AI systems comply with data privacy standards (GDPR, HIPAA, SOC 2). - Implement rate limiting, access control, and secure API endpoints. Collaboration & Iteration: - Work with data scientists to productionize prototypes. - Partner with product teams to scope AI features aligned with business needs. - Document systems for reproducibility and knowledge transfer. What Makes You a Perfect Fit: - Strong coder with a foundation in both full-stack development and applied ML/AI. - Comfortable building prototypes and scaling them to production-grade systems. - Analytical problem solver who balances performance, cost, and usability. - Curious and adaptable, staying current with emerging AI/LLM tools and frameworks. Required Experience & Skills (Minimum): - 3+ years in software engineering with exposure to AI/ML. - Proficiency in Python (PyTorch, TensorFlow) and JavaScript/TypeScript (React, Node.js). - Experience deploying ML models into production systems. - Strong SQL and experience with cloud data warehouses. Ideal Experience & Skills: - Built and scaled AI-powered SaaS products. - Experience with LLM fine-tuning, embeddings, and RAG pipelines. - Knowledge of MLOps practices (Kubeflow, MLflow, Vertex AI, SageMaker). - Familiarity with microservices, serverless architectures, and cost-optimized inference. What Does a Typical Day Look Like? A Full-Stack AI Engineer’s day revolves around connecting models to real-world applications. You will: - Review and refine model APIs, testing latency and accuracy. - Write front-end code to surface AI features in user-friendly interfaces. - Maintain pipelines that clean and prepare new datasets for training or fine-tuning. - Deploy updates through CI/CD pipelines, monitoring cost and performance post-release. - Collaborate with product and data science teams to prioritize AI features that solve real user problems. - Document workflows and results so solutions are repeatable and scalable. In essence: you ensure AI moves from prototype to production — reliable, compliant, and impactful. Key Metrics for Success (KPIs): - Successful deployment of AI features to production on schedule. - Application uptime ≥ 99.9% and inference latency < 500ms for key endpoints. - Reduction in manual workflows replaced by AI features. - Model performance tracked and stable (accuracy, drift, false positives/negatives). - Positive user adoption and satisfaction of AI-driven features. Interview Process: - Initial Phone Screen - Video Interview with Pavago Recruiter - Technical Assessment (e.g., deploy a small ML model with API endpoints and basic front-end integration) - Client Interview(s) with Engineering Team - Offer & Background Verification