Remote AI Engineer: Generative AI & LLM Systems

Volga Partners; United States; Remote; USD 15,000 - 23,000; Full time

Benefits offered by this job

PTO

Holiday pay

Career growth

Job summary

Volga Partners is seeking an AI Engineer to design, develop, and deploy production‑ready Generative AI and LLM‑powered applications. You will work on RAG systems, AI assistants, and agentic workflows with strong Python expertise.

You will collaborate with global teams to deliver scalable AI solutions for clients, integrating OpenAI/Azure/Anthropic APIs and deploying services in production environments.

Qualifications

• 3+ years of software engineering or AI/ML engineering experience.
• Strong proficiency in Python and practical experience with LLMs.
• Hands‑on experience with RAG, embeddings, vector databases, and AI APIs.

Responsibilities

• Design, build, and deploy production‑ready Generative AI and LLM‑powered applications.
• Develop chatbots, copilots, intelligent automation tools, and AI‑assisted workflows.
• Build and optimize RAG pipelines using embeddings, vector search, and data sources.
• Integrate LLM platforms such as OpenAI, Anthropic, Azure OpenAI, and similar providers.
• Develop backend services and APIs using Python, FastAPI, Flask, or similar frameworks.
• Design prompts, system instructions, and context management strategies to improve model performance.
• Build scalable AI services that move from prototype to production.

Skills

Python

LLM engineering

RAG pipelines

Embeddings

Vector databases

LLM APIs integration

Prompt engineering

Remote collaboration

English communication

Production deployment

Tools

Docker

Git

Kubernetes

FastAPI/Flask

LangChain

Pinecone/Weaviate/FAISS

Job description

Volga Partners is seeking an AI Engineer to design, develop, and deploy production‑ready Generative AI and LLM‑powered applications. You will work on RAG systems, AI assistants, and agentic workflows with strong Python expertise.

You will collaborate with global teams to deliver scalable AI solutions for clients, integrating OpenAI/Azure/Anthropic APIs and deploying services in production environments.