About US:
We operate with:
Integrity and doing business the right way
Continuous innovation in AI and service intelligence
Customer obsession with real measurable impact
Collective intelligence through collaboration and knowledge sharing
Role Overview
As a SeniorPython Implementation Engineer you will work at the intersection of engineering AI and customer delivery. Youll build integrate and deploy Python-based backend solutions that power Neuron7s 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.
You will partner closely with Customer Success ML Backend Engineering and PM teams to ensure smooth onboarding robust integrations and high-quality deployments for enterprise clients.
Key Responsibilities
Python Development & Integrations
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.
AI/ML & NLP (Implementation Focus)
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.
Deployment & System Reliability
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.
Customer Delivery & Collaboration
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.
Team Excellence
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.
Required Qualifications
36 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.
Desired (Nice-to-Have)
Experience with AI/ML/NLP pipelines LLMs or RAG-based applications.
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.
What We Do and Value:
At 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.
Company Perks & Benefits:
Competitive salary equity and spot bonuses.
Paid sick leave.
Latest MacBook Pro for your work.
Comprehensive health insurance.
Paid parental leave.
Flexible work arrangements.
Our Commitment to Diversity and Inclusion:
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 youre excited about using data to drive service intelligence and want to be part of a forward-thinking team wed love to hear from you!