Jobs in the United States

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Jobgether
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Jobgether

Senior Software Engineer, Elixir

Remote, United States

Apply on jobs.lever.co About employer

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Job details

Posting language: English

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Elixir based in the United States.

As a Senior Software Engineer, you will play a key role in designing, developing, and scaling intelligent software solutions that enhance how users interact with modern SaaS products. You will combine strong backend engineering expertise with hands-on experience in artificial intelligence to build autonomous and semi-autonomous agents capable of reasoning, planning, and executing complex tasks. Working primarily with Elixir and React with TypeScript, you will contribute to the development of cloud-native applications and advanced AI-powered workflows. You will take ownership of the full software development lifecycle, from technical research and prototyping to implementation, testing, and production deployment. Collaborating with distributed engineering teams across the United States and Romania, you will help shape technical decisions and continuously improve product quality. This role offers an opportunity to bring innovative AI capabilities into production while contributing to scalable, secure, and user-focused technology solutions.

Accountabilities:

Software Development: Design, develop, and maintain scalable software features using Elixir and React with TypeScript, contributing to the evolution of a cloud-native SaaS platform.
AI and Agentic Systems Engineering: Build and operate intelligent AI-powered agents and workflows capable of multi-step reasoning, planning, autonomous task execution, and interaction with external tools and systems.
AI Workflow Integration: Implement agentic architectures incorporating memory, state management, feedback loops, and tool execution to deliver reliable and practical AI-driven capabilities.
LLM Integration: Integrate large language models through APIs, including OpenAI, Anthropic, and comparable providers, while designing effective orchestration strategies and balancing prompt engineering with broader system architecture.
AI Reliability and Evaluation: Implement appropriate safeguards, evaluation mechanisms, hallucination mitigation strategies, and observability practices to ensure AI applications remain reliable, secure, and predictable.
Continuous Integration and Delivery: Work within an established CI/CD environment, following agile development practices and regularly delivering tested, production-ready code.
Cross-Functional Collaboration: Partner with engineering colleagues across the United States and Romania to coordinate priorities, share technical knowledge, and deliver high-quality solutions.
Technical Troubleshooting: Investigate and resolve software defects, production incidents, service outages, and customer-reported technical issues, ensuring system stability and performance.
Technical Research and Innovation: Research emerging technologies, prototype new solutions, evaluate technical approaches, and contribute to architectural and engineering decisions.
Code Quality and Reviews: Participate in constructive code reviews, promote engineering best practices, and contribute to a culture of continuous learning and improvement.
Testing and Documentation: Develop automated tests, support test-driven development, and create technical proposals, diagrams, specifications, and documentation to communicate implementation decisions.
Security and Scalability: Apply defensive security principles across client-side and server-side applications while designing lightweight, maintainable solutions that scale effectively.

Requirements:

Education: Bachelor's degree in Computer Science or a related discipline, or equivalent practical professional experience.
Software Engineering Experience: At least 5 years of experience developing applications using Elixir or Erlang, with substantial experience in professional software development environments.
AI and Agentic Architecture Expertise: Practical understanding of AI fundamentals and experience building autonomous or semi-autonomous agents capable of multi-step reasoning, planning, and tool utilization.
LLM Orchestration: Experience with large language model orchestration frameworks such as LangChain, Semantic Kernel, or custom-built agent frameworks.
LLM API Integration: Hands-on experience integrating AI models through APIs, including OpenAI, Anthropic, or similar providers.
AI System Reliability: Understanding of prompt engineering, system design trade-offs, hallucination management, guardrails, model evaluation, and AI application observability.
Frontend Development: Demonstrated experience building intuitive, responsive, and scalable user interfaces and user experiences for SaaS applications.
API Development: Familiarity with GraphQL for designing, developing, and consuming APIs.
Cloud and Database Technologies: Knowledge of Google Cloud Platform (GCP) and PostgreSQL is desirable.
Monitoring and Observability: Exposure to monitoring and observability tools such as Prometheus and Grafana.
Development Methodologies: Familiarity with agile software development, CI/CD workflows, Git version control, branching strategies, and modern engineering practices.
Testing and Quality Assurance: Experience with test-driven development, automated testing frameworks, debugging, and maintaining high software quality standards.
Security Awareness: Understanding of defensive security strategies for web applications, including both client-side and server-side systems.
Technical Problem-Solving: Strong analytical, technical, and troubleshooting skills, with the ability to understand complex problem spaces and implement safe, effective code changes.
Adaptability: Ability to quickly understand unfamiliar codebases, identify underlying issues, and contribute meaningful improvements with minimal guidance.
Communication Skills: Excellent written and verbal communication skills, with the ability to translate user requirements into lightweight technical proposals, diagrams, specifications, and actionable solutions.
Ownership and Accountability: Demonstrated ability to take responsibility for projects, drive initiatives forward, and consistently deliver on commitments.
Collaboration and Integrity: Strong interpersonal skills, transparency, honesty, and the ability to work effectively with cross-functional and geographically distributed teams.
Continuous Improvement: A proactive approach to learning, innovation, professional development, and delivering meaningful business value through engineering.
Additional Advantages: Experience with endpoint management or agent-based SaaS products, open-source software development, or related technology ecosystems is considered a plus.

Benefits:

Four-Day Work Week: Enjoy a reduced four-day working week, supporting greater work-life balance and flexibility.
Remote Work: Fully remote working arrangement within eligible US states.
Equity Participation: Opportunity to participate in the company's equity program.
Comprehensive Healthcare: 100% premium coverage for medical, dental, and vision insurance for employees and their dependents.
Disability and Life Insurance: 100% premium coverage for short-term disability, long-term disability, life insurance, and accidental death and dismemberment (AD&D) coverage.
Retirement Savings: Employer matching contributions on the first 6% of employee retirement plan deferrals.
Flexible Paid Time Off: Flexible PTO policy designed to support personal needs, rest, and work-life balance.
Health and Wellness: Access to a Health Savings Account (HSA) and additional wellness incentives.
Professional Development: Managers who actively support career growth, technical learning, and professional development.
Employee Recognition: Quarterly company values awards nominated by team members to recognize outstanding contributions and positive workplace impact.
Collaborative Culture: Work in an environment that values honesty, ownership, collaboration, continuous improvement, and diverse perspectives.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

Apply on jobs.lever.co About employer

More about this job

Skills

Software development
Research
TypeScript
Workflow
CI/CD
Agile development
Troubleshooting
Documentation
Computer science
Erlang
LangChain
Front-end development
API development
GraphQL
Google Cloud
PostgreSQL
Prometheus
Grafana
Git
Quality assurance
Test automation
Debugging
Problem solving
Adaptability
Communication skills
Collaboration
Interpersonal skills
Process improvement

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Work requirements

Jobs in the United States