Senior Customer Implementation Engineer ( Python | AI/ML)

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 micrservices.

Integrate internal ML pipelines, LLM components, and retrieval systems into customer environments.

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.

Experience with AI/ML/NLP pipelines, LLMs, or RAG-based applications.

Good knowledge in Java, NLP or text processing or agentic implementation experience

Knowledge of Docker, Kubernetes, and container orchestration.

Exposure to message queues (Kafka, RabbitMQ).

Experience with CI/CD tools and automation frameworks.

Prior startup or scale-up experience.

Open-source contributions or technical writing experience.

At Neuron7.ai , we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in all aspects of our work.

Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital status, or any other characteristic protected by law.

If you’re excited about using data to drive service intelligence and want to be part of a forward-thinking team, we’d love to hear from you!