Senior/Staff Software Engineer in United States at Jobgether
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Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior/Staff Software Engineer in the United States.
This is an exciting opportunity for an experienced software engineer to help shape the future of AI-powered customer experiences by building advanced agentic systems and scalable AI infrastructure. The role combines deep technical ownership with cross-functional collaboration, offering the chance to work on highly impactful products from concept to production. You will contribute to the design and development of sophisticated AI platforms, including orchestration layers, conversational systems, evaluation frameworks, and backend infrastructure. The environment is fast-paced, highly collaborative, and innovation-driven, making it ideal for engineers who enjoy solving complex technical challenges and operating with autonomy. This position offers significant influence over technical direction, architecture decisions, and engineering best practices while working alongside talented product, design, and engineering teams. It is particularly well suited for individuals passionate about large language models, distributed systems, and scalable AI applications.
- Design, build, and maintain end-to-end AI-powered agent experiences, including orchestration systems, conversational interfaces, tool integrations, and evaluation pipelines.
- Develop scalable backend architectures and contribute to platform-level AI infrastructure supporting production-grade agentic systems.
- Build and optimize shared engineering systems such as retrieval pipelines, RAG frameworks, observability tooling, conversation persistence layers, and permissioning systems.
- Collaborate closely with product, design, and engineering stakeholders to define technical roadmaps and product strategies.
- Evaluate and improve AI system performance through experimentation, testing methodologies, and iterative optimization.
- Make strategic engineering decisions balancing scalability, reliability, latency, and operational efficiency.
- Lead or contribute to large technical initiatives across multiple teams while promoting engineering excellence and best practices.
- Mentor fellow engineers and support the development of a strong, collaborative engineering culture.
- 5+ years of professional software engineering experience with a strong focus on backend development and distributed systems.
- Proven experience building and deploying production-grade AI, LLM-powered, or agentic AI applications.
- Strong expertise in Node.js and TypeScript for backend system development.
- Hands-on experience with AI orchestration concepts including tool calling, prompt engineering, agent loops, and workflow automation.
- Familiarity with AI evaluation and observability tools such as LangSmith, Braintrust, or custom evaluation frameworks.
- Experience with full-stack development using modern frontend technologies such as React and TypeScript.
- Strong knowledge of databases including PostgreSQL and MongoDB.
- Experience designing scalable microservices architectures and cloud-based infrastructure.
- Excellent communication, collaboration, and problem-solving skills with the ability to work independently in fast-moving environments.
- Experience with Retrieval-Augmented Generation (RAG), customer-facing AI products, startup environments, or open-source AI tooling is considered a strong advantage.
- Prior mentoring experience or technical leadership contributions are highly valued.
- Competitive base salary ranging from $210,000 to $230,000 depending on experience.
- Equity package offering long-term growth and ownership opportunities.
- Fully remote work environment across the United States and Canada.
- Opportunity to work on cutting-edge AI technologies and next-generation customer-facing products.
- High level of technical ownership and influence over architecture and product direction.
- Collaborative and fast-paced engineering culture focused on innovation and continuous learning.
- Career growth opportunities within a rapidly scaling technology organization.