Jobgether
Senior AI Engineer (Clients) - Supernal
TLDR
Build production-grade AI agents and conversational systems, owning end-to-end delivery for client implementations in a fast-paced environment.
Accountabilities:
- Design, build, and maintain production-grade backend systems, including services, data models, and CRUD applications supporting AI-driven workflows.
- Develop and integrate external APIs, webhooks, and third-party systems to enable secure and reliable AI agent actions.
- Build and deploy conversational and agentic AI systems, including multi-turn dialogue management, state handling, and tool use orchestration.
- Own end-to-end technical delivery for client implementations, from system architecture and planning through to production deployment.
- Translate customer requirements and statements of work into clear technical designs, implementation plans, and execution roadmaps.
- Make architectural decisions across system design, LLM orchestration, RAG pipelines, integrations, and workflow decomposition.
- Debug complex production issues across distributed systems, AI agents, prompts, and external dependencies while ensuring system reliability.
- Define and enforce engineering best practices, including testing strategies, error handling, observability, and maintainability standards.
- Collaborate closely with delivery and product stakeholders to manage scope, timelines, and technical trade-offs.
- Write and maintain automated tests (unit, integration, and end-to-end) to ensure system stability and production readiness.
- 4+ years of experience in software engineering, systems engineering, or automation-focused roles delivering production-grade systems.
- Strong hands-on experience building agentic architectures, conversational AI systems, or workflow automation platforms.
- Proven experience working with LLM orchestration, prompt engineering, function calling, and retrieval-augmented generation (RAG).
- Experience building and deploying voice or real-time systems, including handling latency, streaming, and failure recovery scenarios.
- Familiarity with integration patterns involving APIs, webhooks, and external services in production environments.
- Strong debugging skills with the ability to diagnose complex issues across distributed systems and AI pipelines.
- Solid engineering fundamentals, including testing, error handling, system design, and clean architecture principles.
- Ability to own delivery outcomes end-to-end, balancing technical execution with client success and timeline management.
- Strong communication skills in English, with the ability to explain technical trade-offs clearly to both technical and non-technical stakeholders.
- Comfortable working in fast-paced, ambiguous environments with high ownership and minimal structure.
- Competitive hourly compensation ranging from $35–50/hour depending on experience.
- Fully remote role with flexibility to work from anywhere globally.
- Opportunity to work on cutting-edge AI agent and conversational system deployments in real-world production environments.
- High-impact engineering role with strong ownership over client delivery and technical architecture decisions.
- Exposure to advanced AI workflows, LLM systems, and agentic infrastructure at scale.
- Startup-like environment with fast iteration cycles and high technical autonomy.
- Opportunity to shape engineering best practices and influence production-grade AI system design.
Requirements:
Benefits:
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!
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.
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Benefits
Remote-Friendly
Fully remote role with flexibility to work from anywhere globally.
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
AI Engineer