AI Engineer – Python, Generative AI, LLM/RAG, Cloud AI & MLOpsMLOps & Kubernetes
Synechron (company site, opens in a new tab)6–8 yrsPuneOn-siteDirect career pageEst. 20–35 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development and deployment of AI/ML solutions including Generative AI, LLMs, RAG, and AI agents.
- Architect scalable, secure, and maintainable AI platforms integrating cloud AI services, vector databases, APIs, microservices, and MLOps.
- Provide technical leadership through mentoring, code reviews, architecture decisions, and ensuring production readiness and operational support.
Minimum Requirements
- 6–8 years of experience in software development, AI, or machine learning.
- Strong proficiency in Python and experience with TensorFlow, PyTorch, or Scikit-learn for AI/ML development.
- Hands-on experience with Generative AI, LLMs, RAG, prompt engineering, AI agents, and cloud AI platforms (Azure AI, Azure OpenAI, AWS AI/ML, or Google Cloud AI).
- Experience with Docker, Kubernetes, CI/CD pipelines, SQL/NoSQL databases, vector databases, LangChain or Semantic Kernel frameworks, and MLOps practices.
Ideal Candidate Profile
- Proven experience leading technical AI/ML teams or projects in enterprise environments, preferably with regulated or data-intensive industries.
- Strong operating style balancing hands-on technical development with strategic architecture and cross-team collaboration.
- Experience delivering production-grade large-scale AI/ML platforms with emphasis on security, reliability, model governance, and responsible AI practices.