Senior Software Engineer (Python Implementation Engineer)

Ovii's Interpretation of the Role

Senior Software Engineer focused on Python backend implementation for an AI‑driven service resolution platform. You will build, integrate, and deploy customer‑specific workflows, connect enterprise systems, and ensure reliable production deployments.

Role Snapshot

• Senior Software Engineer
• Python backend specialist
• AI/ML implementation focus
• Enterprise integrations
• Hybrid – Bangalore

Must-Have Requirements

• Python
• backend fundamentals
• microservices
• APIs
• Python web frameworks (FastAPI, Flask, Django)
• RESTful architecture
• Relational & NoSQL databases (PostgreSQL, MongoDB)
• cloud platforms (Azure, AWS, GCP)
• Python development
• backend microservices
• API design
• cloud deployment

Nice-to-Have Signals

• AI/ML pipeline experience (LLM, RAG)
• Java
• Docker & Kubernetes
• message queues (Kafka, RabbitMQ)
• CI/CD tools
• startup or scale‑up experience
• open‑source contributions
• AI/ML pipeline integration
• container orchestration
• message queue usage

Work Setup

• Location: Bangalore, India
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications

What You'll Likely Work On

• Develop and maintain Python services, APIs, and integration layers for customer implementations.
• Build data ingestion, transformation, and validation pipelines that feed AI/ML workflows.
• Implement customer‑specific logic, connectors, and automation using Python microservices.
• Integrate internal ML pipelines, LLM components, and retrieval systems into enterprise environments.
• Configure and deploy services on Azure, AWS, or GCP and ensure their reliability and observability.
• Troubleshoot production issues, perform root‑cause analysis, and optimize performance.
• Collaborate with Customer Success, ML, and product teams to translate requirements into technical specifications.
• Own end‑to‑end technical delivery for enterprise accounts and mentor junior engineers.

Good Fit If You Have

• Experience with AI/ML or NLP pipelines (LLM, RAG) is a plus.
• Familiarity with Java or text‑processing libraries is helpful.
• Background in Docker/Kubernetes and container orchestration is advantageous.