1 day ago
Boston, MA, USA +36 moreMid Level
Base Salary
$54k - $235k/yr
Responsibilities
- Build and ship production features across front end, APIs, backend services, integrations, and data.
- Debug unfamiliar code and resolve issues across application, data, and infrastructure boundaries.
- Develop, containerize, deploy, observe, and recover services on major cloud platforms.
- Apply infrastructure as code and work within automated CI/CD pipelines, including writing tests and resolving pipeline failures.
- Design data access across relational and non-relational stores, APIs, object storage, and event platforms.
- Build retrieval and context layers using knowledge sources, embeddings, metadata, and context management.
- Integrate commercial and open models through APIs and build agent workflows with tools, memory, human checkpoints, and evaluations.
- Use AI coding tools for code generation, testing, debugging, refactoring, documentation, and code comprehension.
- Participate in design reviews, code reviews, production troubleshooting, technical documentation, and internal engineering communities.
Requirements
- At least 3 years of professional software engineering experience building production software.
- At least 2 years of hands-on experience across more than one software stack layer.
- At least 3 years of programming experience in a major language such as Java, Python, Go, TypeScript/JavaScript, or C#.
- At least 3 years of hands-on experience with AWS, Azure, or GCP, including deploying containerized services.
- At least 3 years of experience working in automated CI/CD pipelines and writing automated tests.
- At least 1 year of experience building and shipping AI-enabled features or agent workflows using model APIs, tool calling, structured outputs, retrieval, and context engineering.
- At least 1 year of experience using AI coding tools for software development.
- Bachelor’s degree in Computer Science, Engineering, or equivalent work experience.
- Preferred qualifications include agent-framework experience with LangGraph, Crew AI, the Claude Agent SDK, or the OpenAI SDK; AI evaluation or test-harness experience; infrastructure-as-code and observability experience; relevant cloud or AI certifications; client-facing technical presentation experience; and feature ownership in startup, product-company, or hyperscaler environments.
- A portfolio, public repository, or open-source contribution featuring self-built agents, tools, or plugins is preferred.
Benefits
- Medical, dental, vision, life, and long-term disability coverage.
- 401(k) plan, bonus opportunities, paid holidays, and paid time off.
- Travel may be required at approximately 25%–75%, depending on business and client needs.
- The role is client-embedded and may involve presenting technical work to stakeholders.
- The posting is expected to remain open until November 22, 2026.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.