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Job details

At least 6-8 years of experience as Python or Backend Developer. Demonstrated proficiency with key Python libraries for backend development, data processing, and AI/ML (e.g., FastAPI/Flask/Django, Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, LangChain, LlamaIndex). Exposure in SQL/PL-SQL, RDBMS or any other database systems implementation and query. Experience with AI development frameworks and concepts, including Retrieval-Augmented Generation (RAG), Machine Learning Control Plane (MCP), and Large Language Models (LLMs). Proficiency in containerization technologies such as Docker and orchestration platforms like Kubernetes. Ability to think strategically and the ability to engage resources outside of their direct control to achieve objectives. Capable of writing and building components to integrate into new or existing systems. Documentation experience for complex software components. Experience in implementing product lifecycle - design, development, quality, deployment, maintenance. Ready to work within a collaborative environment with teams. Creative thinking for identifying new opportunities.

What you’ll do

Develop and integrate backend components using Python and AI frameworks into existing or new systems. Manage the full product lifecycle from design and development to deployment and maintenance.

Requirements

Requires 6-8 years of experience in Python backend development with proficiency in AI/ML libraries and containerization tools. Candidates must have experience with LLMs, RAG, and database implementation.

Listed skills

• Python · Preferred
• Flask · Preferred
• Django · Preferred
• SQL · Preferred
• Docker · Preferred
• Kubernetes · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• FastAPI
• Flask
• Django
• Pandas
• NumPy
• Scikit-learn
• PyTorch
• TensorFlow
• LangChain
• LlamaIndex
• SQL
• PL-SQL
• Docker
• Kubernetes
• RAG

Job areas

• Software
• Technology
• Data & Analytics
• Consulting
• Engineering