Jobs at Arionkoder

Build and deploy production-grade AI and LLM systems for client engagements, including structured document extraction, RAG, agents, evaluations, and governed data foundations. Develop tested Python services, CI/CD pipelines, cloud deployments, and cost- and latency-aware architectures. Work directly with clients through discovery, demos, prototyping, presales, and delivery while addressing security, privacy, quality, and business-impact concerns.

Lead end-to-end quality for product teams by designing test strategies, running manual and exploratory testing, building and maintaining automated UI/API suites in CI, triaging defects, defining release quality gates, and using AI tools to accelerate test design and automation.

Build and govern production-grade data foundations in Databricks, including entity reconciliation, history-aware data models, provenance, lineage, quality testing, incremental processing, and access controls. Develop APIs and data services with permission enforcement, collaborate with client data teams and stakeholders, and independently resolve conflicting definitions and identifiers. Use Python, SQL, Spark, and AI coding tools while ensuring reliable, secure, and well-documented data for applications, AI agents, and business users.

Own a portfolio of strategic B2B accounts, driving retention, growth, expansion, referrals, and customer satisfaction. Build customer intelligence profiles, manage account health, lead quarterly business reviews, develop executive relationships, and advocate for client needs internally. Partner with delivery, growth, and innovation teams to maximize outcomes. The role requires technical context, AI awareness, data-driven portfolio management, and occasional travel to the United States.

Own the lifecycle of AI products by translating business priorities into executable roadmaps, partnering with engineering and design, driving delivery, and incorporating user feedback. Lead client demonstrations, define and evaluate product metrics, coordinate cross-functional teams, and align product development with broader innovation strategy. The role requires strong product management, leadership, communication, analytical, agile, and user research skills.

Own the AI product roadmap from conception through launch, translating business priorities into executable plans. Partner with engineering, design, project management, and business stakeholders to define features, manage delivery, evaluate product metrics, and incorporate user feedback. Lead client demonstrations, communicate product value, maintain accountability for milestones, and ensure products align with company innovation strategy.

Lead product strategy and delivery for an enterprise context layer supporting AI agents, customer products, and finance automations. Drive discovery, shared data definitions, stakeholder alignment, prioritization, adoption, acceptance criteria, and technical trade-offs. Partner with architects, engineers, and project managers while establishing governance, ownership, documentation, and processes for long-term client sustainability.

Designs and executes risk-based manual and automated testing for web applications, APIs, backend services, and distributed systems. Maintains Playwright UI automation, validates data integrity, documents defects, performs root cause analysis, and supports regression, integration, performance, usability, and exploratory testing. Collaborates in Agile ceremonies, improves CI/CD and observability, and advances organization-wide quality engineering practices.

Build and own production features end-to-end across frontend, backend, APIs, data, deployment, and support. Develop accessible TypeScript UIs, backend services, integrations, and reliable data models. Apply testing, observability, performance optimization, and sound error handling. Collaborate with product, design, QA, and engineering teams while using AI tooling and LLM or agent APIs to deliver maintainable software autonomously.

Design, develop, test, deploy, and maintain scalable Elixir applications and RESTful APIs. Optimize performance, reliability, and security; troubleshoot integrations and architectural bottlenecks; document systems; contribute to technical decisions; collaborate with engineers, architects, QA, product teams, and external stakeholders; and mentor developers. The role also involves evaluating technologies, supporting AWS-based and containerized architectures, and potentially contributing to React front-end development.

Own the vulnerability management lifecycle across a cloud-native AWS environment, including discovery, risk assessment, remediation tracking, and verification. Investigate security incidents, operate and tune production SIEM platforms, reduce false positives, automate security operations with scripting, and partner with DevSecOps and engineering teams. The role also requires network and endpoint security expertise, analytical problem-solving, and rotating on-call coverage.

Own end-to-end architecture for a multi-tenant production product across data, services, integrations, infrastructure, security, and reliability. Produce C4 diagrams and ADRs, write and review critical production code, stabilize systems, lead incident postmortems, and collaborate with product and customers. Use AI-augmented engineering tools responsibly and mentor engineers on systems thinking.

Join as a Rust Engineer, leveraging your expertise in Rust and other technologies to develop high-quality solutions in a collaborative environment.

As a Senior Python Engineer, you'll prototype backend solutions, integrate AI/ML models, and optimize secure systems while mentoring team members in a collaborative environment.

Design, implement, and operate cloud-native microservices with deployment automation and monitoring. Evaluate supplier APIs, perform code reviews, identify dependencies, and communicate technical capabilities to cross-functional teams.