Lead Software Engineer – AL/ML, Implementation Engineer

Neuron

Lead Software Engineer implementing customer-specific Python backend solutions for AI-driven resolution platform at Neuron7.ai. Collaborating closely with cross-functional teams to ensure high-quality deployments.

Posted 7/20/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining Python-based services and APIs, with a strong focus on AI/ML workflows and integration layers. Proven ability to collaborate cross-functionally, optimize performance, and mentor team members while ensuring high-quality coding standards.

Highest-signal resume keywords

Python Coding ExperienceAI/ML/NLP Pipeline DevelopmentMicroservices ArchitectureCloud Platform Deployment (Azure/AWS/GCP)API Development (FastAPI, Flask, Django)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonAI/MLNLPMicroservicesAPIsFastAPIFlaskDjangoPostgreSQLMongoDB

Soft Skills

Problem-SolvingDebuggingCommunicationCollaborationMentoring

Tools & Technologies

Cloud PlatformsRelational DatabasesNoSQL DatabasesIntegration LayersAutomation Tools

Industry Keywords

Distributed SystemsRAG PipelinesLLM ComponentsObservabilityPerformance Optimization

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 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.

Requirements

What you’ll need

Total 7+ years of professional experience.
Strong Python coding experience.
Experience with AI/ML/NLP pipelines, LLMs, or RAG-based applications.
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.