We are seeking an experienced Full Stack AI Engineer with strong expertise in Python, React, AWS, and Artificial Intelligence to design, develop, and deploy scalable AI-powered applications. The ideal candidate will have a strong full-stack development background combined with hands-on experience integrating Generative AI, LLMs, AI agents, and cloud-based AI services into enterprise applications.
The candidate will work closely with product managers, architects, data scientists, and engineering teams to build secure, scalable, and user-friendly AI solutions.
Key Responsibilities
Design and develop scalable full-stack applications using Python and React.
Build backend services, REST APIs, and microservices using Python, FastAPI, Flask, or Django.
Develop responsive and reusable frontend components using React, JavaScript/TypeScript, HTML, and CSS.
Integrate Generative AI and Large Language Models (LLMs) into enterprise applications.
Develop AI-powered features including RAG, AI agents, prompt engineering, chatbot capabilities, and intelligent automation.
Integrate LLM platforms such as AWS Bedrock, OpenAI, Azure OpenAI, or Google Gemini.
Build and deploy applications on AWS using services such as Lambda, ECS/EKS, S3, API Gateway, DynamoDB, RDS, CloudWatch, and IAM.
Design scalable cloud-native architectures using AWS serverless, containers, and microservices.
Develop integrations with databases, APIs, enterprise applications, and AI services.
Implement authentication, authorization, encryption, and other application security best practices.
Develop automated unit, integration, and API tests.
Collaborate with DevOps teams to implement CI/CD pipelines and automated deployments.
Monitor application performance, AI model performance, availability, and reliability.
Participate in code reviews, architecture discussions, technical design, and Agile ceremonies.
Required Skills
8+ years of professional software development experience.
Strong hands-on experience with Python.
Strong experience with React.js and modern frontend development.
Strong experience developing RESTful APIs and microservices.
Hands-on experience with AWS cloud services.
Experience with Generative AI, LLMs, or AI/ML application development.
Experience with RAG, prompt engineering, embeddings, vector databases, or AI agents.
Experience with FastAPI, Flask, or Django.
Strong knowledge of JavaScript/TypeScript.
Experience with databases such as PostgreSQL, MySQL, DynamoDB, or MongoDB.
Experience with Git, Docker, CI/CD, and Agile development methodologies.
Strong understanding of cloud security, scalability, performance, and high availability.
Preferred Skills
Experience with AWS Bedrock and foundation models.
Experience with LangChain, LangGraph, LlamaIndex, or similar AI frameworks.
Experience with OpenAI APIs or Azure OpenAI.
Knowledge of vector databases such as Pinecone, OpenSearch, pgvector, or Weaviate.
Experience developing AI agents and agentic workflows.
Experience with AWS Lambda, ECS/EKS, S3, API Gateway, RDS, DynamoDB, IAM, and CloudWatch.
Experience with Terraform or CloudFormation.
Knowledge of Kubernetes and containerized application deployment.
Experience implementing AI application security, including prompt injection protection, data privacy, and responsible AI practices.
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