Develop, fine-tune and implement AI components that translate natural language intent into executable optimization requests and automate parameter tuning for third-party engines, focusing on LLM integration, prompt engineering, and agent development
Implement LLM integration using standardized prompts and configurations
Develop functional agents for intent interpretation and request generation
Create template and strategy selection agents
Build optimization request builders that generate valid payloads
Implement pre-flight validation via Policy Agent
Develop explainability components for AI-driven decisions
Fine-tune and optimize AI models for specific use cases

Requirements

4+ years of software development experience with 2+ years in AI/ML implementation
Experience with LLM integration, prompt engineering, and fine-tuning
Knowledge of Python and AI frameworks (PyTorch, TensorFlow, etc.)
Understanding of NLP techniques and conversational AI
Experience with agent-based architectures preferred
Knowledge of financial services domain is a plus

Benefits

Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief

Applicant Tracking System Keywords

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

Hard Skills & Tools

AI components developmentLLM integrationprompt engineeringagent developmentPythonPyTorchTensorFlowNLP techniquesfine-tuningagent-based architectures