Software Engineer I - AI Agents
The Software Engineer I at Confidential Client contributes to building and enhancing AI agent products focused on customer experience by developing backend services, integrating large language models, and supporting voice and real-time communication systems. This entry-level role involves coding, debugging, and collaborating with cross-functional teams to improve system reliability, performance, and AI agent capabilities within a hybrid remote work environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Software Development (AI Agents for Customer Experience).
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
About the Role
Confidential Client is hiring an entry-level Software Engineer I to help build enterprise AI agent products used for customer experience. In this role you’ll contribute to backend services, LLM integrations, voice and real‑time pipelines, and production reliability. This position is a fit for recent graduates or engineers with up to three years of hands-on software development experience.
What You’ll Do
- Build and maintain backend services and APIs using Python, TypeScript, and Go.
- Integrate large language models (LLMs) and build agent workflows, tools, and prompts.
- Support retrieval-augmented generation using documents, embeddings, and vector stores.
- Contribute to voice and real-time systems (Speech-to-Text, Text-to-Speech, WebSockets/WebRTC).
- Debug production issues, write tests, and participate in incident resolution.
- Work with containerization, Kubernetes, CI/CD pipelines, and cloud services.
- Monitor applications with logs, metrics, and traces; help improve reliability and cost efficiency.
- Participate in code reviews, design discussions, and cross-functional collaboration with product and implementation teams.
What You’ll Bring To The Role
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
- Up to three years of software development experience (including internships or academic projects).
- Strong programming fundamentals and problem-solving ability.
- Experience or coursework using Python, JavaScript/TypeScript, Go, or similar languages.
- Understanding of data structures, algorithms, APIs, databases, and object-oriented design.
- Familiarity with Git and common software development workflows.
- Eagerness to learn new technologies and to take increasing ownership of product areas.
Preferred (Not Required)
- Experience with event-driven systems and message queues (Kafka, RabbitMQ, SQS).
- Familiarity with voice technologies (Speech-to-Text, Text-to-Speech), WebRTC, SIP, Twilio, or contact-center platforms.
- Exposure to monitoring/observability tools such as Datadog, Prometheus, or Grafana.
- Personal, academic, or open-source projects involving AI, LLMs, or distributed systems.
Benefits & Compensation
- Base salary range: $145,000 — $165,000 per year (range reflects target base pay; final offer may vary based on qualifications and experience).
- Market-aligned total compensation including performance incentives and potential equity.
- Comprehensive medical, dental, and vision plans.
- Flexible paid time off, 10 company holidays, company-wide winter break, and parental leave.
- 401(k) retirement plan and pre-tax commuter benefits.
- Quarterly lifestyle stipend, monthly mobile & internet stipend for hybrid/remote needs.
- A chance to work on a category-defining GenAI platform that transforms customer experience.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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