AI/ML Engineer- Langfuse

Role: AI/ML Engineer Location: Remote (CST timing) Duration: 6M+ Key skill: Observability tool (Langfuse) About the Role: The ideal candidate will have strong software engineering fundamentals, full-stack development expertise, and hands-on experience building and deploying machine learning–driven applications. You will be responsible for designing, developing, and maintaining scalable AI/ML solutions while ensuring observability, performance, and reliability. Key Responsibilities: • Design, develop, and deploy AI/ML-driven applications and services. • Build and maintain scalable, secure, and resilient full-stack applications. • Integrate observability tools (e.g., Langfuse or similar) to monitor, trace, and improve ML-powered systems. • Write clean, efficient, and maintainable code in Python or Java. • Leverage tools like Llama Parser to build and optimize ML pipelines and applications. • Contribute to architectural decisions and best practices for ML systems in production. • Troubleshoot performance issues and optimize ML workflows for efficiency. Qualifications: • 6+ years of professional experience as a Software Engineer or AI/ML Engineer. • Strong programming skills in Python or Java. • Solid understanding of full-stack development (backend, APIs, databases). • Hands-on experience with large language models (LLMs) and related frameworks. • Knowledge of observability and monitoring tools like Langfuse. • Hands-on experience with Llama Parser for ML/LLM-powered applications. • Experience with cloud platforms like AWS. • Proven ability to design, build, and scale production-ready applications. • Strong problem-solving and debugging skills.