Lead Software Engineer – AL/ML, Implementation Engineer

Jobtailor; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Jobtailor in Bengaluru seeks a senior Python engineer to develop and maintain Python-based services, APIs, and integration layers for customer implementations, with emphasis on AI/ML pipelines and RAG-based applications.

You will collaborate with ML engineers, deploy on cloud platforms (Azure/AWS/GCP), ensure observability, and mentor juniors while delivering enterprise-grade solutions.

Qualifications

• 7+ years of professional software development experience.
• Strong Python coding experience with backend service development.
• Experience with AI/ML/NLP pipelines, LLMs, or RAG-based applications.
• Backend fundamentals, microservices, and distributed systems understanding.
• Experience building APIs and RESTful architectures.
• Hands-on with relational and NoSQL databases.
• Cloud platform familiarity (Azure/AWS/GCP).
• Excellent problem-solving, debugging, and communication skills.
• Ability to work cross-functionally with ML, engineering, and customer teams.

Responsibilities

• Own end-to-end technical implementation for enterprise accounts.
• Translate requirements into technical specifications and architecture decisions.
• Mentor junior team members and contribute to tooling and playbooks.
• Participate in code reviews and maintain high-quality coding standards.

Skills

Python coding

AI/ML/NLP pipelines

Microservices

APIs (REST/GraphQL)

Databases (PostgreSQL, MongoDB)

Cloud platforms (Azure/AWS/GCP)

Debugging & problem solving

Cross-functional collaboration

Code reviews & mentoring

Tools

FastAPI

Flask

Django

PostgreSQL

MongoDB

Job description

• 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

• 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.

Core Competencies

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 Experience
• AI/ML/NLP Pipeline Development
• Microservices Architecture
• Cloud Platform Deployment (Azure/AWS/GCP)
• API Development (FastAPI, Flask, Django)

ATS Optimization Keywords

Hard Skills

• Python
• AI/ML
• NLP
• Microservices
• APIs
• FastAPI
• Flask
• Django
• PostgreSQL
• MongoDB

Soft Skills

• Problem-Solving
• Debugging
• Communication
• Collaboration
• Mentoring

Industry Keywords

• Distributed Systems
• RAG Pipelines
• LLM Components
• Observability
• Performance Optimization

Tools & Technologies

• Cloud Platforms
• Relational Databases
• NoSQL Databases
• Integration Layers
• Automation Tools