Senior Implementation Engineer

Neuron

Senior Implementation Engineer at Neuron7.ai developing Python-based backend solutions for AI-driven service resolution. Collaborating with engineering and customer success teams for seamless enterprise implementations.

Posted 5/12/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDjangoFlaskGoogle Cloud PlatformMicroservicesMongoDBNoSQLPostgresPython

About the role

Key responsibilities & impact

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.
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.

Requirements

What you’ll need

5 to 8 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.
Scope work, sequence delivery, and remove blockers early.
Make trade-offs between scope, speed, and quality; adjust plans to protect delivery.
Contribute directly in the code when progress or clarity depends on it.
Codify working patterns into tools, playbooks, or building blocks that others can use.
Keep teams moving through clarity and follow-through.

Benefits

Comp & perks

💰 Competitive salary, equity, and spot bonuses.
🤕 Paid Time-off.
🏥 Comprehensive health insurance.
🍼 Paid parental leave.
🏡 Flexible Hybrid work.

ATS Keywords

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Hard Skills & Tools

PythonAPIsmicroservicesdata ingestiondata transformationdata validationML workflowsrelational databasesNoSQL databasescloud platforms

Soft Skills

problem-solvingdebuggingcommunicationcollaborationmentoringtechnical guidancedocumentationcode reviewscalabilityadaptability