Ovii Job Board

Senior Forward Deployment Engineer (FDE) (AI/ML | Python) | 6+ Years | Bangalore

neuron7

Bengaluru, India • Hybrid - Bengaluru, India • Full-Time • 6+ years

Posted 2026-06-25 Tech & Engg

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Job Description

Ovii's Interpretation of the Role

Senior Python engineer who builds AI‑powered integrations and data pipelines for enterprise customers. Works hands‑on with cloud platforms, REST APIs, and large‑language‑model workflows while delivering end‑to‑end implementations.

Role Snapshot

  • Senior Python Engineer
  • AI integration specialist
  • Customer‑facing deployments
  • Hybrid – Bangalore
  • Backend services & micro‑services
  • Mentor junior engineers

Must-Have Requirements

  • Python
  • FastAPI/Flask/Django
  • REST API development
  • PostgreSQL
  • MongoDB
  • Azure
  • AWS
  • GCP
  • Debugging & troubleshooting
  • Customer‑facing technical implementation
  • Communication & stakeholder management
  • software engineering
  • Python development
  • AI integration
  • backend systems
  • cloud platforms

Nice-to-Have Signals

  • LLM/NLP/RAG
  • Java
  • Enterprise integration patterns
  • Agentic AI frameworks
  • Docker
  • Kubernetes
  • CI/CD pipelines
  • DevOps practices
  • Startup SaaS experience
  • Kafka
  • RabbitMQ
  • Open‑source contributions
  • container orchestration
  • event streaming
  • startup SaaS

Work Setup

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

Not Specified in JD

  • Visa sponsorship
  • Salary range
  • Remote eligibility

What You'll Likely Work On

  • Design and maintain Python services, APIs, and integration frameworks for enterprise customers
  • Build scalable data ingestion, transformation, and validation pipelines
  • Integrate LLM, NLP, and other AI capabilities into customer environments
  • Deploy and operate solutions on Azure, AWS, or GCP with reliability and observability
  • Own end‑to‑end implementation and delivery for strategic accounts
  • Collaborate with Customer Success, Product, and Engineering to translate business needs into technical solutions
  • Provide architecture guidance, conduct code reviews, and mentor junior engineers
  • Create reusable accelerators, playbooks, and automation tools

Good Fit If You Have

  • Experience with LLM/NLP/RAG or other AI‑powered applications
  • Familiarity with Docker, Kubernetes, and containerised deployments
  • Background in high‑growth SaaS or startup environments

Skills

  • Python
  • FastAPI / Flask / Django
  • REST API development
  • PostgreSQL & MongoDB
  • Azure / AWS / GCP
  • LLM / NLP / RAG
  • Docker & Kubernetes
  • CI/CD pipelines
  • Event streaming (Kafka, RabbitMQ)
  • Microservices architecture