AI Software Engineer

Job Title: Senior AI Software Engineer / Lead AI Engineer
Experience: 7-12+ 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.
• Maintain security, privacy, reliability, and responsible AI practices.
• Participate in architecture discussions and technical design reviews.
• Mentor junior and mid-level engineers.

Required Technical Skills

• 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