Senior AI Software Engineer (Lead) - Remote & Generative AI

Vcloud Technologies Investment; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Vcloud Technologies Investment is seeking a Senior AI Software Engineer / Lead AI Engineer to design, develop, and deploy production-grade AI-powered applications and platforms.

The role requires hands-on experience with Generative AI, LLMs, RAG, AI agents, Python, APIs, cloud platforms, databases, and scalable distributed systems. You will guide AI solutions from architecture to production deployment and optimization.

Qualifications

• Strong Python and software engineering fundamentals required.
• Experience with modern AI/ML tooling and API design.
• Hands-on with LLMs, RAG, AI agents, and prompt engineering.
• Ability to architect production AI systems and optimize for cost and performance.

Responsibilities

• Design and develop scalable AI-powered software applications.
• Build and integrate LLM-based applications and AI agents.
• Develop production-grade Retrieval-Augmented Generation (RAG) systems.
• Work with LLM APIs and open-source models.
• Design prompt engineering and evaluation frameworks.
• Develop AI agents capable of tool calling and multi-step workflows.
• Build APIs and backend services for AI applications.
• Integrate AI into enterprise applications.
• Design scalable data pipelines for AI/ML workloads.
• Implement vector and semantic search solutions.
• Optimize AI applications for performance and cost.
• Collaborate with engineering teams to deploy AI into production.
• Develop automated testing and monitoring for AI systems.

Skills

Python

OOP

REST APIs

Microservices

Async programming

Data structures

Algorithms

Tools

LangChain

LangGraph

LlamaIndex

Hugging Face

PyTorch

TensorFlow

Scikit-learn

Pinecone

Weaviate

Milvus

Qdrant

pgvector

Job description

Vcloud Technologies Investment is seeking a Senior AI Software Engineer / Lead AI Engineer to design, develop, and deploy production-grade AI-powered applications and platforms.

The role requires hands-on experience with Generative AI, LLMs, RAG, AI agents, Python, APIs, cloud platforms, databases, and scalable distributed systems. You will guide AI solutions from architecture to production deployment and optimization.