{"id":2258537,"url":"https://alion.io/job/gft-technologies-sr-ai-software-engineer","title":"Sr. AI Software Engineer","company":{"id":51689,"name":"GFT Technologies","domain":"gft.com","url":"https://alion.io/company/gft-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Heredia, Costa Rica"],"countries":["CR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":43000,"max_usd":106000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2002},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ActiveMQ","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"CloudFormation","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Datadog","optional":false},{"name":"Db2","optional":false},{"name":"Dynatrace","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"JavaScript","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"PostgreSQL","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Splunk","optional":false},{"name":"Spring Boot","optional":false},{"name":"Terraform","optional":false},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-10-09T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T01:02:06Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job description_\nAbout the Role_\nJoin our client and help power one of the industry’s most trusted vehicle data platforms. You’ll design and build high-scale, cloud-native systems that process millions of vehicle history and transaction requests daily, supporting major partners across dealerships, lenders, marketplaces, and enterprise platforms (e.g., Carvana, Cox Automotive, Cars.com, and others). This role blends modern distributed systems engineering with AI-assisted development and emerging agentic workflows, giving you the opportunity to shape both core platform architecture and the next generation of intelligent engineering practices.\nA day in this role_\nOwn the design and delivery of high-performance, low-latency APIs and microservices powering vehicle history (VHR), VIN intelligence, and transaction systems. \nBuild and scale Java/Spring Boot services in a cloud-native AWS environment, handling high-throughput, real-time workloads. \nArchitect and implement event-driven systems using Kafka/SQS to support asynchronous processing and data pipelines. \nLead development of complex features, platform enhancements, and proof-of-concepts that drive business impact. \nContribute to and influence system architecture, scalability, and reliability decisions across services. \nImplement and improve CI/CD pipelines, automated testing, and observability (logging, tracing, performance tuning). \nCollaborate closely with product, data, and partner teams to deliver mission-critical integrations and APIs. \nParticipate in full SDLC ownership: design → build → deploy → operate (“you build it, you own it”). \nMentor engineers and contribute to a strong engineering culture through code reviews and technical leadership.\nAI-Assisted Engineering & Agentic Systems (Required)\nLeverage tools like GitHub Copilot, Codex, Cursor, and Claude Code to accelerate development, testing, and documentation. \nDesign and integrate AI-assisted workflows and agent-driven capabilities into engineering processes and/or production systems. \nBuild or support intelligent features (e.g., automation, recommendations, data enrichment, or decisioning) using AI models and APIs. \nDevelop tool-integrated agent workflows, including prompt design, multi-step orchestration, and API-based task execution (e.g., MCP or similar patterns). \nEvaluate and productionize AI-generated outputs, ensuring code quality, security, and compliance with enterprise standards. \nOptimize AI-powered solutions for latency, cost, reliability, and observability in production environments. \nApply foundational knowledge of embeddings, fine-tuning, and dataset preparation to adapt AI capabilities to real-world business use cases. \nThe expertise requested_\nBachelor’s degree in computer science, Software Engineering, or related field (or equivalent experience).\n 10+ years (or equivalent experience) building large-scale, distributed, high-volume transactional systems.\nStrong expertise in Java, Spring Boot, microservices architecture, and REST API design.\nHands-on experience with AWS (compute, storage, containers, networking, security, monitoring).\nExperience building event-driven architectures (Kafka, SQS, ActiveMQ, or similar).\nStrong experience with observability tools (e.g., Splunk, Dynatrace, Datadog) for debugging and performance optimization.\nFront-end experience with React, JavaScript, HTML/CSS (full-stack capability preferred).\nExperience with PostgreSQL/DB2 and database performance tuning.\nSolid understanding of Agile, SDLC, and modern engineering best practices.\nExperience with Infrastructure as Code (Terraform, CloudFormation, or similar)\nDesired or nice to have expertise_\nExperience working with automotive data, VIN decoding, or vehicle lifecycle systems.\nFamiliarity with high-availability systems (99.9%+ uptime) and strict latency SLAs.\nExperience integrating with enterprise partners or external APIs at scale.\nExposure to AI/ML platforms or deploying AI-powered features in production.\nOur Core values are focus to inclusion and diversity, all qualified applicants will be considered for employment and will go thru a fair recruitment process regardless of their race, religion, gender identity, sexual orientation, national origin or disability status.\nYour journey with us begins 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