Generative AI Engineer

Nebulai Digital Solutions — United States · Posted ~2 hours ago

Mid

Skills

LLM APIs LangChain LlamaIndex Python API Design RAG Implementation Embeddings Vector Search PyTorch Hugging Face Redis Elasticsearch

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

Innovative role creating next‑gen generative AI solutions. Build reliable pipelines, master multi‑agent coordination, and optimize inference costs while delivering tangible business value.

Highlights

Seeking experts with hands‑on experience building generative AI pipelines. Focus on production‑ready systems, robust RAG architectures, and efficient model serving.

Description

If you’ve built GenAI features that made it past the demo stage—this one’s for you. Nebulai places GenAI engineers with client teams who need production apps: solid prompts and system design, RAG that retrieves the right stuff, tool-calling agents, eval harnesses, and safe rollout. The goal is better knowledge work, ops, and internal automation—not another prototype that stalls in a lab. What we’re looking for - Real experience with LLM APIs and frameworks (LangChain, LlamaIndex, or similar) - Strong Python and comfort building APIs/services - Hands-on RAG: embeddings, chunking, retrieval quality, grounding - Instinct for evals, latency/cost tradeoffs, and how these systems fail Even better if you’ve - Fine-tuned models or done preference optimization - Worked with agent frameworks and orchestration - Partnered with product/design on AI UX Join Nebulai’s talent marketplace. Apply at https://nebulai.app