AI Architect / Sr. AI Engineer
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Key skills for this role
Role Overview
Build and optimize a next-generation AI platform as an AI Architect or Senior AI Engineer.
Combine AI engineering with production web application development to deliver scalable, reliable applications.
The role focuses on LLM integration, Python and Django backend development, JavaScript frontend integration, and CI/CD.
Key Skills for This Role
Full Job Posting
Position overview
Build and optimize a next-generation AI platform as an AI Architect or Senior AI Engineer.
Combine AI engineering with production web application development to deliver scalable, reliable applications.
The role focuses on LLM integration, Python and Django backend development, JavaScript frontend integration, and CI/CD.
Key responsibilities
- Design, deploy, and maintain LiteLLM pipelines for routing, load balancing, cost tracking, and fallback strategies.
- Integrate Anthropic Claude models into core products for reasoning, text generation, and agentic workflows.
- Build secure and scalable RESTful APIs and backend services with Django and Python.
- Develop and integrate JavaScript features for AI-driven user experiences.
- Create Python scripts for data processing, workflow automation, and tool execution.
- Automate CI/CD deployment pipelines to support continuous testing and rapid iteration.
Required qualifications
- 5+ years of software engineering experience focused on backend systems and AI implementation.
- Hands-on experience with LiteLLM and direct Anthropic or Claude API integrations.
- Advanced Python proficiency, including scripting, asynchronous processing, and standard libraries.
- Commercial experience building applications with Django and Django REST Framework.
- Functional JavaScript ES6+ proficiency for frontend integration and UI interactions.
- Strong knowledge of CI/CD pipelines and standard deployment practices.
- Expertise with Git workflows and collaborative development practices.
Nice-to-have skills
- Experience with vector databases such as Pinecone, Qdrant, or Chroma and RAG architectures.
- Familiarity with Docker and Kubernetes.
- Experience monitoring and evaluating LLM latency, cost, and output quality in production.
Workplace
- The position is remote in India.
About idmworks
Identity and access management consulting and managed security services.
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