Full Stack Agentic Developer
Charles River AssociatesBoston, DC
Full Time
Posted June 16, 2026
$150k - $230k
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Listing evidence and provenance
- Source
- greenhouse View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed September 28, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Renewable Energy Development
- Pay provenance
- Employer-provided pay
Job Description
Charles River Associates is seeking a Full Stack Agentic Developer to help build and evolve a web-based AI platform that enables experts to translate domain expertise into scalable, validated AI-driven workflows.
Requirements
- Bachelor's degree in Software Engineering, Engineering, or other relevant discipline with programming/technology experience, advanced degree desirable;
- 6+ years of professional software engineering experience, with strong hands-on ownership across frontend, backend, and production product systems;
- Strong TypeScript skills across the stack, including modern React development and Node.js/Express API development;
- Experience building component-driven React applications with complex state, multiple interconnected views, real-time updates, and user-facing workflows that require careful error handling;
- Experience building or consuming real-time interfaces using server-sent events, WebSockets, streaming APIs, or similar event-driven patterns;
- Experience building LLM-powered agentic systems that use tools, execute multi-turn workflows, manage state, and recover from errors; not just experience building static chatbots;
- Experience with LLM tool calling or function calling, including tool schema design, streaming tool input/output, multi-turn execution, and provider-specific implementation details;
- Strong prompt engineering ability for structured, multi-step workflows, including prompts that encode policies, methodology, roles, and tool usage expectations;
- Comfort working in Python for agent tools, data processing, automation, evaluation, and integration with analytical libraries;
- Good understanding of browser authentication flows, JWT lifecycle, token refresh, CORS, secure cookies, role-based access, and frontend/backend security boundaries;
- Familiarity with PostgreSQL and API-driven application design, including practical awareness of schema design, queries, migrations, and data access patterns;
- Experience with Docker or Linux-based execution environments and practical understanding of isolation, filesystem access, dependency management, and runtime troubleshooting;
- Strong product judgment, debugging instincts, documentation discipline, and ability to reason about AI behavior, software behavior, and user impact at the same time.
- Experience designing custom agent frameworks, agent runtimes, orchestration loops, tool-extension systems, or evaluation harnesses rather than relying entirely on off-the-shelf frameworks.
- Experience with OpenAI, Anthropic, and other model provider APIs, including streaming, tool use, structured outputs, usage tracking, rate limits, and provider-specific failures.
- Experience with file-heavy web applications, including upload progress, large file handling, previewing, workspace navigation, generated-output review, and download flows.
- Experience rendering markdown, structured outputs, tool activity, logs, transcripts, plans, or other rich incremental content in React.
- Experience with sandboxed or ephemeral compute patterns, dynamically provisioned containers, secure credential injection, and session-scoped runtime lifecycles.
- Experience with Azure services such as Static Web Apps, Container Apps, Container Instances, Blob Storage, Azure Database for PostgreSQL, Application Insights, or related cloud services.
- Experience with Docker, GitHub Actions, CI/CD practices, structured logging, cloud observability, and collaboration in a distributed engineering environment.
- Experience with headless browser automation, document generation, data analysis, visualization, file conversion, R, LaTeX, or workflow automation tools.
- Experience working in consulting, professional services, legal, economic, healthcare, life sciences, energy, financial services, or other confidential/high-stakes environments.
- Familiarity with responsible AI practices, model evaluation, transcript review, quality controls, AI governance, and enterprise AI adoption.
Benefits & Perks
- CRA’s robust skills development programs , including a commitment to offering 100 hours of training annually through formal and informal programs, encourage you to thrive as an individual and team member. Training encompasses technical training, presentation skills, internal seminars, and career mentoring and performance coaching from an assigned senior colleague. Additional leadership and collaboration opportunities exist through internal firm development activities.
- We offer a comprehensive total rewards program including a superior benefits package, wellness programming to support physical, mental, emotional and financial well-being, and in-house immigration support for foreign nationals and international business travelers.
Ready to Apply?
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