- Location
- Indore, Madhya Pradesh, India
- Job type
- Full-time
Required skills
- LangChain
- Python
- API
- Azure
- backend
- containerization
- Docker
- Java
- Kubernetes
- microservices
About the role
Ccube
Website:
ccube.com
Job details:
Position:- AI/ML ArchitectLocation: Indore, India (Hybrid)Job Type: Full Time
Exp Level- 8+ YearsRequired Skills- Data Scientist, MCP (Model Context Protocol), Agentic AI, LLM understanding, RAG. Architecture end to end, built systems which run in productions. We are seeking a highly skilled AI/ML Leader with a strong foundation in Python/Java and microservices architecture, who can bridge the gap between traditional backend systems and modern AI/ML platforms. The ideal candidate will have experience or a strong interest in LLM-based frameworks (e.g., LangChain, Agentic AI), and be capable of designing scalable, intelligent solutions that integrate with major AI platforms.
Key Responsibilities:
· Architect and design scalable, secure, and high-performance microservices using Python OR Java.
· Collaborate with AI/ML teams to integrate LLM-based tools and frameworks into enterprise applications.
· Understand and work with MCP (Model Context Protoco)
, A2A (Agent-to-Agent) communication, and LLM orchestration frameworks like LangChain and Agentic AI.
· Evaluate and recommend AI platforms and tools for enterprise use cases.
· Translate business requirements into technical solutions that leverage both traditional and AI-driven components.
· Lead technical discussions with stakeholders, including product managers, data scientists, and platform teams.
· Ensure architectural alignment with enterprise standards and best practices.
Required Skills & Experience:
· 8+ years of experience in backend development with Python/Java
· Proven experience designing and deploying microservices architectures.
· Familiarity with AI/ML concepts, especially LLMs, prompt engineering, and AI agents.
· Understanding of LangChain, Agentic AI, or similar LLM orchestration frameworks.
· Experience integrating with AI platforms (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face).
· Strong understanding of API design, event-driven systems, and cloud-native architectures.
· Excellent communication and stakeholder management skills. Production-level RAG implementation experience.· Hands-on experience with LLM-based applications or AI agent frameworks.
· Exposure to MCP, A2A, or similar AI infrastructure concepts.
· Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
· Knowledge of data pipelines and AI model lifecycle management
Nice-to-Have / Big Plus:- Experience with MCP, A2A, or similar AI infrastructure concepts
- Knowledge of data pipelines & AI model lifecycle management
- Prior experience architecting enterprise AI platforms
Why Join Us?- Work on real production AI systems, not just POCs
- Design next-gen Agentic & LLM-powered architectures
- High ownership, high impact role
- Flexible Hybrid / Remote setup
- Collaborate with strong engineering & AI talent
Click on Apply to know more.
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