
Senior Integration Engineer (AI/ML | Python) – Customer Implementations | 6+ Years | Bangalore
neuron7
Posted 2026-06-25
Tech & Engg
Job Description
Ovii's Interpretation of the Role
Senior AI Integration Engineer (Python) building customer‑facing integrations, data pipelines, and AI‑enabled workflows for enterprise deployments. The role blends hands‑on Python development, cloud deployment, and direct collaboration with customers and cross‑functional teams.
Role Snapshot
- Senior Python integration specialist
- Customer‑facing implementation lead
- AI‑enabled workflow builder
- Cloud‑native service developer
- Technical mentor
Must-Have Requirements
- Python
- REST API development (FastAPI, Flask, Django)
- PostgreSQL
- MongoDB
- Azure
- AWS
- GCP
- Debugging & troubleshooting
- software engineering
- Python development
- AI integration
Nice-to-Have Signals
- LLM/NLP/RAG integration
- Java
- Docker
- Kubernetes
- Kafka
- RabbitMQ
- CI/CD pipelines
- Startup SaaS experience
- Open‑source contributions
- Event‑driven architectures
- LLM/NLP
- containerization
- event‑driven architectures
Work Setup
- Location: Bengaluru, India
- Work mode: HYBRID
- Employment type: Full-Time
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Education requirement
- Certifications
- Relocation
- Notice period
- Travel
- Security clearance
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Design, develop, and maintain Python services, APIs, and integration frameworks
- Build scalable data ingestion, transformation, and validation pipelines
- Integrate LLM, NLP, and other AI capabilities into enterprise environments
- Deploy and operate solutions on Azure, AWS, and GCP with reliability and observability
- Own end‑to‑end implementation for strategic enterprise customers
- Collaborate with Customer Success, Product, and Engineering to translate business needs into technical solutions
- Participate in architecture discussions, code reviews, and mentor junior engineers
- Create reusable implementation accelerators, playbooks, and automation tools
Good Fit If You Have
- Strong communication and stakeholder management experience
- Proactive delivery mindset with ability to scope and sequence work
- Interest in mentoring and sharing best practices with junior engineers
Skills
- Python
- REST API development (FastAPI, Flask, Django)
- PostgreSQL & MongoDB
- Azure / AWS / GCP
- LLM/NLP/RAG integration
- Docker & Kubernetes
- Kafka / RabbitMQ
- CI/CD pipelines