MLOps / AI DevOps Engineer

Job Title : MLOps / AI DevOps Engineer – (Position 1 No) Experience Level : 2 to 3 Years

Department : AI Application Development

Location : Pune

Job Overview

The Backend Developer will design, develop, and maintain scalable backend systems and APIs supporting AI-driven applications. This role demands strong proficiency in Python , FastAPI , and microservices architecture , with additional exposure to MCP servers , real-time streaming (LiveKit) , and parallel data processing . The developer will collaborate with AI / ML teams to build highly performant APIs, integrate live video / audio / text streaming, and maintain deployment pipelines optimized for AI workloads.

Key Responsibilities

Design and develop backend services and REST APIs using FastAPI and microservice-based architectures .

Implement and manage authentication, authorization , and integration testing.

Build, deploy, and maintain MCP servers for AI application backends.

Enable real-time text, video, and audio streaming using LiveKit or similar frameworks.

Implement parallel processing pipelines using Airflow , Celery , or equivalent tools.

Integrate Elasticsearch for indexing, search, and performance optimization.

Collaborate with AI and ML teams to connect deployed models to application backends.

Manage and optimize CI / CD pipelines , ensuring stable releases and automated testing.

Required Skills & Qualifications

Strong hands-on expertise in Python and frameworks such as FastAPI , Flask , or Django REST Framework .

Proven experience in designing and maintaining microservices-based architectures .

Knowledge of API design , versioning, and secure data exchange protocols.

Practical experience in MCP server setup and backend integration with AI services.

Familiarity with Airflow , Celery , or distributed task orchestration systems.

Experience working with Elasticsearch , PostgreSQL , or similar databases.

Proficiency in CI / CD tools (GitHub Actions, Jenkins, or GitLab CI) and version control (Git) .

Preferred (Good to Have)

Experience with Linux-based deployment and shell scripting for server management.

Exposure to GPU-based coding and parallel computation for high-performance tasks.

Knowledge of NLP , Vision , Text-to-Voice , and multimodal systems integration.

Experience with containerization (Docker) and orchestration (Kubernetes) for scalable deployments.

Soft Skills

Strong analytical and debugging skills for backend and infrastructure-level issues.

Excellent communication and documentation abilities.

Collaborative and proactive approach when working with AI Research, ML, and Integration teams.

Eagerness to explore cutting-edge backend, streaming, and AI integration technologies.

Please apply here