**\*\*\*** **Arganteal accepts applications from direct candidates only.****We do not work with third\-party recruiters or staffing agencies.** **\*\*\*** **Required Country Location: Costa Rica, Peru, Argentina, Brazil, Columbia, South Africa, Mexico, or Panama.** **\*\*\* This is full time work at 40 hours per week** **Overview** Our client seeks a motivated **Senior Developer, Data \& AI** to join their team in developing a groundbreaking, modular platform built from the ground up. Our client digitizes and contextualizes **multi\-modal sensor data** from both digital and physical environments into specialized **time\-series, graph, and vector databases**, powering real\-time analytics, compliance, and AI\-driven context mapping. This role is ideal for a creative problem\-solver who thrives at the intersection of **data engineering, distributed systems, and applied AI**. **Key Responsibilities** **Platform Design \& Development*** Architect, develop, and deploy **core modules** (Data, Access, \& Agent’s) for end\-to\-end data ingestion, contextualization, and visualization. * Design and code **sensor collection agents** across heterogeneous systems (Windows, Linux, macOS, mobile, IoT). * Implement **real\-time ingestion pipelines** using technologies like **Apache Kafka, Apache NiFi, Redis Streams, or AWS Kinesis**. * Persist and query multi\-modal data across **time\-series (MongoDB, InfluxDB, TimescaleDB), graph (Neo4j), and vector databases (Qdrant, FAISS, Pinecone, or Weaviate)**. **API \& Data Access Layer*** Build secure, scalable **RESTful and GraphQL APIs** for exposing platform data models, sensor configuration, and reporting. * Implement a **unified Database Access Layer (DBAL)** to abstract query logic across multiple databases. * Experiment with or extend **Model Context Protocol (MCP)** or a similar standardized data interchange for multi\-DB, multi\-agent interoperability. **System Integration \& Data Streaming*** Develop **low\-latency data pipelines** for transporting and transforming event streams (syslog, telemetry, keystrokes, IoT feeds, cloud service logs). * Collaborate with frontend engineers to connect **Access (visual mapping UI)** with back\-end pipelines. **Optimization \& Scalability*** Optimize **database query performance** using down\-sampling, partitioning, and caching techniques. * Design solutions for **horizontal scaling and containerized deployment (Docker, Kubernetes, OpenShift)**. * Apply a **“MacGyver\-mindset”** for rapid prototyping and iterative refinement under real\-world constraints. **Collaboration \& Mentoring*** Work directly with **compliance officers, security analysts, and business process owners** to refine data models for regulatory and operational needs. * Conduct code reviews, mentor junior developers, and promote best practices across the team. **Required Skills \& Experience*** **Programming:** Strong proficiency in **Node.js and Python** (C\+\+ a plus). * **Streaming:** Hands\-on experience with **Kafka, NiFi, Redis Streams, or AWS Kinesis**. * **Databases:** + Time\-series: MongoDB, InfluxDB, TimescaleDB, or AWS Timestream + Graph: Neo4j (Cypher, APOC, graph schema design) + Vector: Qdrant, FAISS, Pinecone, or Weaviate * **AI/Agents:** Experience with—or strong interest in—**Agentic AI frameworks**, multi\-agent orchestration, and context\-aware data processing. * **Data Interchange:** Familiarity with **MCP\-like protocols** or interest in defining standardized APIs for cross\-database access. * **Cloud/Infra:** AWS, Azure, or GCP with containerization (Docker, Kubernetes). * **Software Engineering:** Strong grasp of **algorithms, distributed systems, microservice design, and API security**. * **Problem Solving:** Strong debugging skills, creative mindset, and ability to balance speed with scalability. **Preferred Skills*** Machine Learning/NLP integration into multi\-modal pipelines. * CI/CD automation and DevOps practices. * Knowledge of **enterprise integration patterns, event\-driven systems, and zero\-trust security models**. * Experience with compliance frameworks (NERC CIP, FedRAMP, GDPR, SOX). **Qualifications*** Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent hands\-on experience). * **5\+ years professional software development** with data\-intensive or AI\-driven systems. * Proven experience **designing, deploying, and scaling modular platforms** in production. **\*\*\* Arganteal accepts applications from direct candidates only. We do not work with third\-party recruiters or staffing agencies.** RKYogGysFW