Remote Dev Lead: GenAI, Architecture & Delivery

Eliassen Group; Hagåtña (GU); A distancia; USD 152.000 - 165.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, Dental, Vision benefits

401k with company matching

Life insurance

Descripción de la vacante

Remote Dev Lead contract at Eliassen Group leads architecture, code quality, and delivery for an Agile AI solutions squad focused on knowledge discovery and reuse.

The role balances hands-on engineering with team leadership, security and performance oversight, and collaboration with the Product Owner to align technical work with business outcomes.

Experience with GenAI, AWS/Azure, and modern CI/CD practices is required; W2 benefits and flexible consulting options are provided.

Formación

• 7+ years of professional software engineering with solution architecture in complex enterprise environments.
• 1+ years building GenAI applications, including RAG, agentic search, workflows, and integrations with commercial LLMs.
• 2+ years leading or mentoring engineers.
• 2+ years as a senior or principal engineer with design, implementation, and operational ownership.
• 2+ years leading engineering work in Agile teams with Product Owners, Product Analysts, and Quality Engineers.
• Proficiency translating business requirements into technical designs.
• Hands-on Python with FastAPI for REST APIs and microservices.
• Front-end development with ReactJS.
• Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude.
• Designing GenAI and LLM applications for retrieval and synthesis over large document collections.
• Systems integration, architecture standards and principles, and SaaS selection and integration.
• Elasticsearch development including indexing pipelines, relevancy tuning, and search performance.
• CI/CD and DevSecOps, including code quality and security scanning with tools such as SonarQube and Veracode.
• Application testing, diagnostics, and performance tuning for a global user base.
• Clear technical documentation and architecture artifacts.
• Agentic engineering and specification-driven development with reliable AI coding agent execution across the lifecycle while retaining human accountability.

Responsabilidades

• Own solution architecture and design, balancing functionality with security, scalability, resilience, usability, performance, cost, and reuse.
• Set technical direction for the backlog, supply technical detail for stories, and support refinement and story mapping.
• Define squad technical priorities and advise the Product Owner on product priorities.
• Own service security and raise feasibility questions and risks early.
• Stay current on GenAI and emerging technologies and share insights across teams.
• Lead agentic engineering practices from planning through implementation and iteration.
• Own pull request process with AI-assisted review before human review and enforce coding norms and patterns.
• Maintain healthy code scanner findings and test coverage, and prevent new technical debt.
• Set guardrails for agent-generated code and require validation against specifications and standards.
• Remove blockers, coach engineers on escalations, validate release timelines, and execute deployments.
• Manage technical dependencies within and across teams and improve squad velocity and flow.
• Foster a safe environment for questions, experimentation, and reversible mistakes; support team morale and balance.
• Model team expectations and deliver direct, constructive feedback.
• Join business conversations with the Product Owner to align technical work with outcomes and share knowledge through forums and sessions.

Conocimientos

Python

FastAPI

ReactJS

AWS

Azure

Azure OpenAI

Claude

Elasticsearch

SonarQube

Veracode

CI/CD

Educación

BA/BS or MS in Computer Science or related field

AWS or Azure cloud certification preferred

Herramientas

FastAPI

ReactJS

AWS

Azure

Azure OpenAI

Claude

Elasticsearch

SonarQube

Veracode

CI/CD

Descripción del empleo

Remote Dev Lead contract at Eliassen Group leads architecture, code quality, and delivery for an Agile AI solutions squad focused on knowledge discovery and reuse.

The role balances hands-on engineering with team leadership, security and performance oversight, and collaboration with the Product Owner to align technical work with business outcomes.

Experience with GenAI, AWS/Azure, and modern CI/CD practices is required; W2 benefits and flexible consulting options are provided.