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Generic senior software title but niche LLM/RAG specialization reduces broad applicant pool.
Core ML/AI skills are transferable across industries, though consulting and finance context raises domain specificity.
Prefers production LLM experience, Python/TypeScript fundamentals, and client-facing consulting experience; moderate strictness.
Develop and ship components of multi-agent AI systems and RAG pipelines for private equity-backed portfolio companies, initially under senior engineer guidance.
Contribute to prompt engineering, AI tool design, evaluation frameworks, and client-facing technical translation of requirements.
At Senior level, independently own and architect end-to-end agentic AI workstreams and present decisions to internal and client stakeholders.
Proficiency in Python and/or TypeScript/React with clean coding skills.
Hands-on exposure to large language model (LLM) application development such as RAG, prompt engineering, or agent orchestration; production experience preferred for Senior level.
Ability to use AI coding tools (e.g., Claude Code, Cursor) effectively in workflow.
Work Experience Required: Not explicitly mentioned in the JD; role covers Associate and Senior levels.
This role is US-based with hybrid work (2 remote days/week) and requires local presence; no immigration sponsorship is provided.
Comfortable working in a high-velocity, ambiguous, client-facing consulting environment with fast iteration and minimal process overhead.
Experienced or motivated to engage deeply with AI-native delivery and agentic AI systems, including prompt engineering and evaluation-driven development.
Capable of autonomous ownership of AI workstreams at Senior level, with demonstrated ability to communicate complex technical architecture to varied stakeholders.