The generative AI space is exploding, and companies are racing to turn cutting‑edge research into real products. Senior engineers who can prototype, fine‑tune, and ship large language models are in high demand. This remote role offers you a chance to lead AI innovation while working from anywhere in the U.S.

Job Summary

We are seeking a Senior Gen AI Engineer to design, prototype, and productionize generative AI solutions. You will build proof‑of‑concepts, MVPs, and full‑scale agentic systems using Python, Hugging Face, LangChain, and OpenAI APIs. The role demands deep expertise in large language models, orchestration frameworks (LangGraph, CrewAI), and multi‑modal data pipelines.

Top 3 Critical Skills Table

Interview Preparation

1. Explain the end‑to‑end pipeline for fine‑tuning an open‑source LLM for a domain‑specific task.
   What the interviewer is looking for: Understanding of data preprocessing, tokenizer handling, training loops, evaluation metrics, and deployment considerations.
2. How would you design an agentic system that coordinates multiple LLM calls using LangGraph?
   What the interviewer is looking for: Knowledge of graph‑based workflow orchestration, state management, and error handling in multi‑step AI pipelines.
3. Describe a strategy for integrating multi‑modal inputs (e.g., text + images) into a single generative model.
   What the interviewer is looking for: Familiarity with vision‑language models, feature fusion techniques, and performance trade‑offs.
4. What are the key differences between using Hugging Face Transformers vs. OpenAI API for rapid prototyping?
   What the interviewer is looking for: Insight into licensing, scalability, latency, customization depth, and cost implications.
5. Walk us through how you would monitor and maintain an LLM in production to ensure reliability and compliance.
   What the interviewer is looking for: Experience with logging, drift detection, prompt versioning, security, and continuous evaluation.

Resume Optimization

• Generative AI
• Large Language Models (LLMs)
• Python
• Hugging Face
• LangChain
• OpenAI API
• Agentic AI
• LangGraph
• CrewAI
• Multi‑modal data pipelines

Application Strategy

When reaching out to the recruiter, send a concise email that starts with a polite greeting, attaches your updated resume, and clearly maps your experience to the role. Highlight your top skills—such as LLM fine‑tuning, agentic workflow orchestration, and multi‑modal AI integration—mention any relevant projects where you delivered prototypes or MVPs, and explain how your background aligns with the responsibilities listed in the job description.

Career Roadmap