AI Architect / Sr. AI Engineer

• Position Overview
• We are looking for an experienced Senior AI Engineer with strong full-stack software development skills to build and optimize our next-generation AI platform. You will lead the integration of state-of-the-art Large Language Models (LLMs) using modern orchestration frameworks like LiteLLM and direct API connections to models such as Anthropic’s Claude.
• The ideal candidate bridges the gap between AI engineering and production web applications—combining deep expertise in Python, Django, and JavaScript with reliable CI/CD practices to ship scalable, production-ready applications.

Key Responsibilities

LLM Orchestration & Integration: Design, deploy, and maintain multi-model pipelines using LiteLLM to handle routing, load balancing, cost tracking, and fallback strategies.

Claude / Anthropic API Implementation: Integrate Anthropic's Claude models directly into core products to drive advanced reasoning, text generation, and agentic workflows.

Backend Development: Build robust, secure, and scalable RESTful APIs and backend services using Django and Python .

Frontend Collaboration: Develop and integrate user-facing features using JavaScript to deliver seamless AI-driven user experiences.

Automation & Scripting: Write clean, modular Python scripts for data processing, workflow automation, and tool execution.

DevOps & CI/CD: Establish, maintain, and automate deployment pipelines using standard CI/CD tooling to ensure continuous testing, high reliability, and rapid iteration cycles.

Required Qualifications

Experience: 5+ years of software engineering experience with a strong focus on backend systems and AI implementation.

AI & LLMs: Hands-on experience working with LiteLLM for model management and direct integration experience with Anthropic / Claude APIs .

Core Language: Advanced proficiency in Python (including scripting, async processing, and standard libraries).

Frameworks: Demonstrated commercial experience building applications with Django (and Django REST Framework).

Frontend Tech: Functional proficiency in JavaScript (ES6+) for frontend integration and UI interactions.

DevOps & Infrastructure: Strong knowledge of CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or Jenkins) and standard deployment practices.

Version Control: Expertise with Git workflows and collaborative development practices.

Nice-to-Have Skills

Experience with vector databases (e.g., Pinecone, Qdrant, Chroma) and RAG (Retrieval-Augmented Generation) architectures.

Familiarity with containerization technologies like Docker and Kubernetes.

Experience monitoring and evaluating LLM latency, cost, and output quality in production.