Senior Python Implementation Engineer at Neuron7.ai building and deploying backend solutions for AI-driven resolution platform. Collaborating with cross-functional teams to ensure high-quality deployments.
Responsibilities
As a Senior Python Implementation Engineer, you will work at the intersection of engineering, AI, and customer delivery.
You’ll build, integrate, and deploy Python-based backend solutions that power Neuron7’s AI-driven resolution platform.
This role involves implementing customer-specific workflows, connecting enterprise systems, optimizing data pipelines, and enabling scalable LLM/NLP-powered features in production.
Partner closely with Customer Success, ML, Backend Engineering, and PM teams to ensure smooth onboarding, robust integrations, and high-quality deployments for enterprise clients.
Develop and maintain Python-based services, APIs, and integration layers for customer implementations.
Build data ingestion, transformation, and validation pipelines to support AI/ML workflows.
Implement customer-specific logic, connectors, and automations using Python microservices.
Work with RAG pipelines, embedding workflows, or NLP modules as needed for solution deployment.
Collaborate with ML Engineers to productionize models and optimize performance.
Configure and deploy services on cloud platforms (Azure/AWS/GCP).
Ensure reliability, observability, and performance of implementation-specific services.
Troubleshoot production issues, analyze logs, and perform root-cause analysis.
Work closely with Customer Success & Solutions teams to translate requirements into technical specifications.
Own end-to-end technical implementation for enterprise accounts.
Provide guidance on best practices, architecture choices, and scalable patterns.
Participate in code reviews and maintain high-quality coding standards.
Document implementation workflows, integration steps, and troubleshooting playbooks.
Mentor junior team members and contribute to internal tooling and automation.
Requirements
2–5+ years of professional experience in Python development.
Strong understanding of backend fundamentals, microservices, and distributed systems.
Experience working with APIs, web frameworks (FastAPI, Flask, Django), and RESTful architectures.
Hands-on experience with relational & NoSQL databases (PostgreSQL, MongoDB, or similar).
Familiarity with cloud platforms (Azure, AWS, or GCP).
Strong problem-solving, debugging, and communication skills.
Ability to work cross-functionally with engineering, ML, and customer-facing teams.
Experience with AI/ML/NLP pipelines, LLMs, or RAG-based applications (Nice-to-Have).
Knowledge of Docker, Kubernetes, and container orchestration (Nice-to-Have).
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