Senior Integration Engineer (AI/ML | Python) – Customer Implementations | 6+ Years | Bangalore

Experience: 6+ Years
Location: Bangalore (Hybrid)

Neuron7.ai is a fast-growing, AI-first SaaS company transforming service resolution through intelligence. Backed by Series B funding and trusted by leading Fortune 1000 enterprises, our Smart Resolution Hub delivers predictive and guided troubleshooting for high-tech, medical device, and industrial equipment organizations.

With 300% ARR growth and deep integrations across Salesforce, ServiceNow, Microsoft, and SAP ecosystems, Neuron7 is rapidly expanding its global footprint.

• Integrity and doing business the right way

• Continuous innovation in AI and service intelligence

• Customer obsession with measurable outcomes

• Collective intelligence through collaboration and knowledge sharing

We are looking for a Senior AI Integration Engineer (Python) to join our Customer Implementations team. This role sits at the intersection of engineering, AI, and customer success, helping enterprise customers unlock value from Neuron7's AI-powered platform.

You will design and build Python-based integrations, data pipelines, APIs, and AI-enabled workflows while partnering closely with customers and internal teams to ensure successful deployments. This is a highly visible, customer-facing role that combines hands-on coding, technical problem-solving, and solution delivery.

• 6+ years of professional software engineering experience.

• 5+ years of hands-on Python development experience.

• Experience implementing AI-powered solutions, integrations, or customer-facing technical projects.

• Strong understanding of backend systems, microservices, and distributed architectures.

• Experience building REST APIs using FastAPI, Flask, or Django.

• Hands-on experience with relational and NoSQL databases such as PostgreSQL and MongoDB.

• Experience working with cloud platforms including Azure, AWS, or GCP.

• Strong debugging, troubleshooting, and problem-solving skills.

• Excellent communication and stakeholder management skills.

• Proven experience working directly with customers and managing technical implementations.

• Experience with LLMs, RAG architectures, NLP, or AI-powered applications.

• Knowledge of Java and enterprise integration patterns.

• Experience with Agentic AI frameworks and intelligent workflow automation.

• Hands-on experience with Docker, Kubernetes, and containerized deployments.

• Familiarity with Kafka, RabbitMQ, or event-driven architectures.

• Experience with CI/CD pipelines and DevOps practices.

• Startup or high-growth SaaS experience.

• Open-source contributions or technical thought leadership.

• Ability to scope work, sequence delivery, and proactively remove blockers.

• Strong decision-making skills with the ability to balance scope, quality, and timelines.

• Willingness to contribute directly to code and technical problem-solving when needed.

• Ability to drive clarity and execution across cross-functional teams.

• Design, develop, and maintain Python-based services, APIs, and integration frameworks.

• Build scalable data ingestion, transformation, and validation pipelines.

• Develop customer-specific integrations, automations, and business workflows.

• Create reusable implementation accelerators and integration components.

• Integrate LLM, NLP, RAG, and AI-powered capabilities into enterprise environments.

• Work alongside ML Engineers to deploy and optimize AI models in production.

• Support embedding pipelines, retrieval systems, and intelligent resolution workflows.

• Enable customers to leverage AI capabilities effectively within their existing ecosystems.

• Deploy and manage solutions across Azure, AWS, and GCP environments.

• Ensure reliability, scalability, observability, and performance of deployed services.

• Troubleshoot production issues, analyze logs, and perform root-cause analysis.

• Implement monitoring and operational best practices.

• Partner with Customer Success, Product, and Engineering teams to understand customer requirements.

• Translate business needs into scalable technical solutions.

• Own end-to-end implementation and deployment for strategic enterprise customers.

• Provide technical guidance, architecture recommendations, and implementation best practices.

• Participate in architecture discussions and code reviews.

• Mentor junior engineers and share implementation best practices.

• Drive technical excellence through automation, documentation, and reusable frameworks.

• Codify successful implementation patterns into tools, playbooks, and accelerators.

Neuron7.ai is committed to building an inclusive workplace where everyone can thrive. We celebrate diversity and are proud to provide equal employment opportunities to all employees and applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic.

If you're passionate about building AI-powered solutions, working directly with enterprise customers, and solving meaningful real-world problems, we'd love to hear from you.