In All Media Inc

📌 Position: Senior Fullstack Engineer (React/Java) Location: Remote from LATAM Contract Type: Full-time vendor (via Inallmedia.com) Time Zone Alignment: CST (Central Standard Time) 🧭 About Inallmedia.com Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation. 🚀 Project Overview You will join the Company Insights & Connections (CIC) squad for a world-leading job marketplace platform. This team is responsible for the Employer Brand Marketplace, a high-traffic ecosystem where millions of job seekers research company values, reviews, and culture. As a Senior Fullstack Engineer, you will have end-to-end ownership of features that enhance employer branding tools and company pages. You will tackle technical challenges related to SEO optimization, high-scale User-Generated Content (UGC), and performance engineering, ensuring a seamless experience for both global employers and candidates. 🔍 Key Responsibilities - End-to-End Ownership: Scope, estimate, and execute complex technical projects from initial ideation to production deployment with high professional autonomy. - Full-Stack Development: Ship production-quality, high-performance code across the stack, focusing on sophisticated user interfaces and robust backend services. - SEO & Marketing Initiatives: Build and optimize features for company pages to improve search engine visibility, Core Web Vitals, and user acquisition. - Stakeholder Partnership: Act as a primary technical partner to Product Managers and Engineering Leads, translating business requirements into scalable code and proactively managing technical trade-offs. - Technical Decision Making: Navigate ambiguous requirements and make independent choices between speed of delivery and long-term code scalability. - Feature Evolution: Maintain and innovate on UGC modules, including company reviews, Q&A sections, and employer micro-content. 💡 Must-Have Skills - Front-End Expertise: Advanced proficiency in React and TypeScript (or expert-level modern JavaScript/ES6+). - Back-End Proficiency: Strong experience building scalable services using Java and Spring Boot. - Senior-Level Judgment: Proven ability to work "end-to-end" without hand-holding, demonstrating high ownership and architectural thinking. - Production Standards: Extensive experience shipping high-scale, production-ready code within Agile environments. - Communication: Strong ability to manage relationships with stakeholders, negotiate scope, and surface blockers clearly. - Language: Fluent English for daily technical discussions and documentation. 🌟 Nice-to-Have Skills - SEO Engineering: Familiarity with Server-Side Rendering (SSR) and optimizing for Core Web Vitals. - UGC Experience: Previous work with user-generated content platforms or marketplace dynamics. - Cloud & CI/CD: Exposure to modern cloud infrastructure and automated deployment pipelines. 🌐 Time Zone & Collaboration The role requires close collaboration with teams aligned to CST (Central Standard Time). As this is a 100% remote position for LATAM, candidates must be able to maintain a consistent overlap with US-based stakeholders. 💬 Language All interviews, technical documentation, and daily communication will be conducted exclusively in English. #LI

Role Description In this role, you will be at the forefront of the AI revolution, supporting a high-impact project focused on autonomous agents and intelligent backend architectures. You will join a collaborative, fast-paced team dedicated to building the next generation of AI-driven solutions. The project involves architecting sophisticated agentic workflows and leveraging advanced retrieval techniques to power business intelligence at scale. As a Backend Engineer (AI Agentic), you will be instrumental in transforming raw data and LLM capabilities into reliable, goal-oriented AI systems. Key Responsibilities - Agentic Development: Design and implement complex AI agents and multi-agent workflows using frameworks like LangChain or LangGraph. - Backend Architecture: Build and maintain scalable, high-performance backend services using Python to support AI-driven features. - RAG Implementation: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to provide agents with accurate, context-aware information. - Vector Database Management: Architect and manage vector storage solutions (Pinecone, Weaviate) to ensure efficient similarity search and data retrieval. - System Integration: Integrate Large Language Models (LLMs) with existing APIs and third-party services to enhance agent capabilities. - Agile Collaboration: Work closely with product owners, data scientists, and fellow engineers to translate ambitious AI requirements into production-ready code. Qualifications - AI Frameworks: Deep expertise in LangChain, LangGraph, or Semantic Kernel (3+ years of experience). - Backend Mastery: Senior-level proficiency in Python (6+ years of experience) and its ecosystem for building robust APIs. - Vector Databases: Proven experience working with Pinecone, Weaviate, or similar vector search engines. - AI Specialization: Strong understanding of Retrieval-Augmented Generation (RAG) and agentic design patterns. - Soft Skills: A truly collaborative team player mindset with an appetite for solving ambiguous, cutting-edge problems. - Fluent English: Excellent verbal and written communication skills for daily technical collaboration and documentation. Nice-to-Have Skills - Cloud & Orchestration: Experience deploying AI workloads on Kubernetes or Docker. - Prompt Engineering: Knowledge of advanced prompting techniques and LLM fine-tuning. - Data Engineering: Familiarity with data processing libraries like Pandas or Spark. - Monitoring: Experience with tools for monitoring LLM performance and cost (e.g., LangSmith). Time Zone & Collaboration This role is 100% remote from LATAM and requires consistent overlap with teams in Central Time (CT). Flexibility is expected to accommodate key ceremonies, stand-ups, and collaborative sessions within standard Austin business hours. Language All interviews, documentation, and daily communication are in English.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description You will join a high-visibility initiative focused on maturing the organization's data landscape. The Outpost project is moving from an "evolving" data environment to a structured, high-performance ecosystem. As a Data Architect, your mission is to solve current structural inconsistencies and define the long-term data strategy. This is not a "maintenance" role; it is an architectural leadership position meant to ensure data is reliable, accessible, and high-quality for both internal operational efficiency and external customer reporting. By improving schema performance and structure, you will directly enable better business decisions and robust application performance. Key Responsibilities - Define Data Strategy: Architect and implement the long-term data roadmap to transition the organization into a structured, high-performance ecosystem. - Schema Design: Design and optimize complex data models for both transactional (operational) and analytical use cases. - Performance Tuning: Lead database performance tuning and structural improvements to ensure high-speed query execution and system reliability. - Identify Critical Insights: Use analytical intuition to independently identify business-critical data points and define clear analysis goals. - Standardization: Establish and enforce organizational naming conventions, data governance practices, and structural consistency across the landscape. - Automation: Utilize Python to create automation scripts for data exploration, cleaning, and landscape management. - Cross-Functional Collaboration: Partner with Product, Backend Engineering, and Stakeholders to ensure data schemas support both business goals and application UX. Qualifications - Advanced SQL Mastery: Expert-level proficiency in query design, CTEs, window functions, and complex aggregations. - Data Modeling: Proven track record of designing scalable schemas for diverse use cases (Transactional vs. Analytical). - Optimization Expertise: Deep knowledge of database performance tuning and structural improvements. - Functional Python: Proficiency in using Python (loops, functions, dictionaries) for data exploration and automation tasks. - Strategic Intuition: The ability to navigate ambiguity and independently identify how data structure impacts business outcomes. - Self-Direction: Proven ability to manage complex data landscapes and architectural shifts without constant supervision. - Fluent English: Strong communication skills for daily collaboration with international stakeholders. Nice-to-Have Skills - Cloud Warehousing: Specific experience with Snowflake or similar modern cloud data warehouse environments. - Governance: Experience implementing formal data governance frameworks and metadata management. - ETL/ELT Optimization: Hands-on experience optimizing specific data transformation pipelines to reduce latency. - Modern Data Stack: Familiarity with tools like dbt or Airflow for managing the data lifecycle. - LATAM Experience: Experience working in remote, distributed teams across Latin American time zones. Time Zone & Collaboration The role requires collaboration with teams aligned to Central Time (CT), USA. Candidates must overlap at least 4–5 hours daily with US-based stakeholders to ensure seamless architectural alignment.

You will join a high-visibility engineering team responsible for evolving a large-scale Messaging Platform that enables seamless communication between candidates and employers throughout the hiring journey. Design, build, and enhance messaging features that improve communication between users and employers. Develop scalable and maintainable backend services using Java, Kotlin, or Scala. Implement and evolve RESTful or GraphQL APIs to support frontend and cross-team integrations. Build and maintain modern, responsive user interfaces using React and Redux. Maintain operational excellence by addressing production issues and unanticipated cross-team requests. Identify, prioritize, and reduce technical debt to strengthen long-term platform reliability. Collaborate in an Agile environment, contributing to sprint planning, code reviews, and architectural discussions. Ensure performance, scalability, and security best practices across the full stack.