AI Software Engineer

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

Job Title: Senior AI Software Engineer / Lead AI Engineer
Experience: 712+ Years
Location: Remote
Employment Type: Full-Time
Work Mode: Remote
Industry: Software / AI / Technology

Job Summary

We are looking for a highly experienced Senior AI Software Engineer / Lead AI Engineer to design, develop, and deploy production-grade AI-powered applications and platforms.

The ideal candidate should have strong software engineering fundamentals combined with hands-on experience in Generative AI, LLMs, RAG, AI Agents, Python, APIs, cloud platforms, databases, and scalable distributed systems.

This role is suitable for an experienced engineer who can independently take AI solutions from architecture and proof-of-concept through production deployment and optimization.

Key Responsibilities

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

  Required Technical Skills

  Programming

  • Python – Advanced
  • Strong knowledge of software engineering principles
  • Object-oriented programming
  • Data structures and algorithms
  • REST APIs
  • Microservices
  • Async programming

  Generative AI / LLM

  Strong hands-on experience with:

  • Large Language Models (LLMs)
  • Generative AI
  • Prompt Engineering
  • RAG
  • Embeddings
  • Vector Databases
  • Semantic Search
  • Function / Tool Calling
  • AI Agents
  • Multi-agent workflows
  • LLM evaluation
  • Model optimization
  • LLM APIs

  Experience with platforms/models such as

  • OpenAI
  • Anthropic
  • Google Gemini
  • Azure OpenAI
  • Llama
  • Hugging Face

  AI/ML Frameworks

  Experience with one or more:

  • LangChain
  • LangGraph
  • LlamaIndex
  • Hugging Face
  • PyTorch
  • TensorFlow
  • Scikit-learn

  Vector Databases

  Experience with:

  • Pinecone
  • Weaviate
  • Milvus
  • Qdrant
  • pgvector

  Cloud

  Strong experience with at least one:

  • AWS
  • Azure
  • Google Cloud

  Preferred AWS services

  • Bedrock
  • Lambda
  • ECS/EKS
  • S3
  • RDS
  • OpenSearch
  • API Gateway
  • CloudWatch

  Backend / Database

  • FastAPI
  • Django / Flask
  • PostgreSQL
  • MongoDB
  • Redis
  • SQL
  • NoSQL
  • Kafka or similar event-streaming technologies

  DevOps / Production

  • Docker
  • Kubernetes
  • CI/CD
  • GitHub Actions / Jenkins
  • Terraform
  • Linux
  • Monitoring and observability