Job Description
Ovii's Interpretation of the Role
The Senior AI/ML Application Engineer will design, build, and ship production‑grade retrieval‑augmented generation pipelines, LLM fine‑tuning, and agentic AI workflows that power voice and chat bots for enterprise customers. The role demands end‑to‑end ownership of AI model deployment on Kubernetes and close collaboration with product, data science, and DevOps teams.
Role Snapshot
- Design and ship AI‑powered voice & chat bot features
- Build production RAG pipelines and fine‑tune LLMs
- Develop scalable FastAPI services
- Own end‑to‑end AI model deployment on Kubernetes
- Collaborate across product, data science, and DevOps
- Drive AI architecture decisions
Must-Have Requirements
- Python
- FastAPI
- LangChain or LangGraph
- RAG pipeline development
- LLM fine‑tuning
- Kubernetes
- MongoDB / PostgreSQL / MySQL
- Python engineering
Nice-to-Have Signals
- Voice bot / conversational AI experience
- MLOps tooling and model observability
- Enterprise‑scale system design
- voice bot development
- MLOps tooling
- model observability
Work Setup
- Location: Bengaluru, India
- Work mode: ONSITE
- 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 and implement production‑grade RAG pipelines and fine‑tune large language models for voice and chat bots
- Architect and ship high‑performance RESTful APIs using FastAPI
- Create multi‑step agentic workflows with LangChain or LangGraph
- Productionize AI models on Kubernetes, ensuring reliability, observability, and performance at enterprise scale
- Collaborate with product, data science, and DevOps teams to shape roadmap and architecture
- Own feature delivery from specification through monitoring and performance optimization
Good Fit If You Have
- Hands‑on experience building voice or conversational AI products
- Familiarity with MLOps tooling, model observability, and A/B evaluation frameworks
- Strong system‑design instincts for high‑volume enterprise workloads
- End‑to‑end ownership mindset
Skills
- Python (async, clean code, API design)
- FastAPI
- LangChain / LangGraph
- RAG pipeline development
- LLM fine‑tuning
- Kubernetes
- MongoDB / PostgreSQL / MySQL
- Voice bot / conversational AI (preferred)
- MLOps tooling & model observability (preferred)
- Enterprise‑scale system design (preferred)