Software engineering for LLM-powered conversational agents, with an emphasis on practical implementation, reliability, and user experience
Evaluate, fine-tune, and deploy LLM-based models and pipelines using REST APIs and internal microservices
Implement prompt engineering, retrieval-augmented generation (RAG), tool-use pipelines, and conversation orchestration logic
Investigate and integrate emerging technologies, particularly in real-time voice, streaming, and multi-modal interaction
Analyze model outputs, user interactions, and system performance to drive iterative improvements
Build and maintain high-quality datasets, including data cleaning, preprocessing, labeling workflows, and benchmarking for NLP tasks
Own data quality, ensuring accuracy, reproducibility, and reliability across the data lifecycle
Collaborate with ML, backend, and product teams on deployment best practices, monitoring, and scalability of LLM-based services
Contribute to internal documentation, experimentation processes, and model evaluation frameworks

Requirements

Master’s degree in Artificial Intelligence, Computer Science, or a related technical field
Strong programming skills in Python, with experience in ML and data tooling (e.g., PyTorch, Pandas, NumPy, Scikit-learn)
Preferred: 2+ years of professional software engineering experience, including scripting, data processing, or backend/ML pipelines
Experience with NLP techniques, LLMs, or machine learning fundamentals
Strong problem-solving ability and comfort working independently in a fast-moving environment
Preferred: Experience deploying applications or models on cloud platforms, preferably AWS
Bonus (not required): experience with real-time systems, WebSockets/streaming, RAG pipelines, vector databases, or ML evaluation frameworks, Genesys/Twilio

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonMLdata toolingPyTorchPandasNumPyScikit-learnNLP techniquesLLMsmachine learning fundamentals

Soft Skills

problem-solvingindependent workcollaboration

Certifications

Master’s degree in Artificial IntelligenceMaster’s degree in Computer Science