AI Software Engineer

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

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
.

• 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:

  • Lang Chain
  • Lang Graph
  • Llama Index
  • Hugging Face
  • Py Torch
  • Tensor Flow
  • 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
  • Open Search
  • API Gateway
  • Cloud Watch
  Backend / Database
  • FastAPI
  • Django / Flask
  • PostgreSQL
  • MongoDB
  • Redis
  • SQL
  • No
    
    SQL
  • Kafka or similar event-streaming technologies
  Dev Ops / Production
  • Docker
  • Kubernetes
  • CI/CD
  • Git Hub Actions / Jenkins
  • Terraform
  • Linux
  • Monitoring and observability