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Generative AI Engineer (US)
Appsierra Group
3 hours ago
Full-time
On-site
East New York, New York, United States
We are seeking a Generative AI Engineer to join our team. You will design and deploy cutting‑edge AI solutions using Python, LLMs, and RAG technologies. This role offers a hybrid work environment across multiple US locations.
Key responsibilities
Design, develop, and deploy generative AI applications using Python and modern AI frameworks.
Build LLM‑powered solutions for enterprise and customer‑facing use cases.
Create Retrieval‑Augmented Generation (RAG) pipelines for context‑aware AI responses.
Integrate LLM APIs, embeddings, vector databases, and external data sources.
Optimize prompts, retrieval strategies, model performance, and response quality.
Develop production‑ready APIs and AI services.
Monitor and evaluate model performance in deployed applications.
Collaborate with software engineers, data scientists, and product teams.
Required qualifications
1–5 years of professional experience in AI/ML, generative AI, or software engineering.
Strong proficiency in Python.
Hands‑on experience with Large Language Models (LLMs).
Experience building Retrieval‑Augmented Generation (RAG) applications.
Excellent problem‑solving and communication skills.
Nice to have
Experience with OpenAI, Anthropic, Gemini, or other LLM APIs.
Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
Familiarity with FastAPI, Docker, and cloud platforms (AWS, Azure, GCP).
Experience with AI agents, tool calling, or multi‑agent systems.
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Design, develop, and deploy generative AI applications using Python and modern AI frameworks.
Build LLM‑powered solutions for enterprise and customer‑facing use cases.
Create Retrieval‑Augmented Generation (RAG) pipelines for context‑aware AI responses.
Integrate LLM APIs, embeddings, vector databases, and external data sources.
Optimize prompts, retrieval strategies, model performance, and response quality.
Develop production‑ready APIs and AI services.
Monitor and evaluate model performance in deployed applications.
Collaborate with software engineers, data scientists, and product teams.
Required qualifications
1–5 years of professional experience in AI/ML, generative AI, or software engineering.
Strong proficiency in Python.
Hands‑on experience with Large Language Models (LLMs).
Experience building Retrieval‑Augmented Generation (RAG) applications.
Excellent problem‑solving and communication skills.
Nice to have
Experience with OpenAI, Anthropic, Gemini, or other LLM APIs.
Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
Familiarity with FastAPI, Docker, and cloud platforms (AWS, Azure, GCP).
Experience with AI agents, tool calling, or multi‑agent systems.
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