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.