Forward-Deployed Software Engineer (AI/LLM)

We are looking for engineers who are passionate about AI-native development, comfortable working with ambiguity, and excited about using AI agents to fundamentally change how software is built.
Key Responsibilities:
AI-Native Software Development
Design, develop, and deploy enterprise-grade applications built around AI agents and Large Language Models (LLMs).
Build scalable AI-native architectures where intelligent agents are integral to the system design.
Develop reliable, maintainable, and production-ready software using modern engineering practices.
Leverage AI coding agents to accelerate development while maintaining high standards of code quality.
LLM Integration & Agentic Systems
Integrate LLMs into production environments, focusing on retrieval, context engineering, and output validation.
Design and implement multi-agent workflows, including task orchestration, agent responsibilities, and control mechanisms.
Develop robust AI solutions with appropriate guardrails, fallback mechanisms, and error handling.
Implement monitoring, logging, and testing strategies to ensure the reliability, security, and traceability of AI-driven systems.
Software Architecture & Engineering Excellence
Take ownership of technical solutions from initial requirements through production deployment.
Design architectures that balance rapid prototyping with enterprise-level quality and reliability.
Maintain engineering standards across code reviews, automated testing, and CI/CD pipelines.
Review, validate, and improve AI-generated code to ensure production readiness.
Identify technical risks, troubleshoot complex issues, and continuously improve system performance.

Required Qualifications
5+ years of professional software engineering experience, including hands-on development of production applications.
Strong programming skills in at least one of the following languages: Python, Java, Go, or TypeScript.
Recent, practical experience designing, developing, or integrating AI/LLM-based solutions.
Hands-on experience using AI coding agents in daily software development workflows.
Strong understanding of AI-assisted development, including code validation, debugging, and common failure modes of coding agents.
Experience building or integrating LLM-powered applications, including retrieval mechanisms, context management, and output validation.
Solid understanding of software architecture, design principles, and production engineering practices.
Experience with automated testing, code reviews, version control, and CI/CD processes.
Ability to independently investigate complex technical problems and deliver end-to-end solutions.
Strong analytical thinking, problem-solving skills, and attention to engineering quality.
Excellent communication skills in English, with the ability to collaborate confidently with technical teams and business stakeholders.
Ability to work effectively in dynamic environments where requirements may evolve or initially be undefined.
Additional Relevant Experience
The following experience would be valuable for this role:
Designing and implementing multi-agent AI systems and agent orchestration workflows.
Building Retrieval-Augmented Generation (RAG) solutions.
Implementing LLM evaluation, guardrails, fallback strategies, and observability.
Working on enterprise-grade AI applications with strict reliability and quality requirements.
Participating in customer-facing engineering projects or enterprise solution delivery.
Taking technical ownership of projects involving multiple stakeholders and complex business requirements.
What We Offer:
Work on Enterprise AI Solutions
Build real-world AI-native systems for established enterprise customers, working on challenging engineering problems with measurable business impact.
Fully Remote Work
Work remotely without business travel while collaborating with international enterprise clients and following their working schedules.
Experienced Technical Leadership
Receive direct guidance from hands-on engineering principals with extensive experience building and operating large-scale enterprise systems.
Access to Advanced AI Tooling
Work with modern AI development tools and agent-assisted engineering workflows.