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- Lead the design and development of scalable applications using Python
- Architect and implement Generative AI and LLM-based solutions
- Drive adoption of AI in SDLC processes to improve engineering productivity and automation
- Build AI-enabled APIs, automation workflows, and backend services
- Collaborate with architects, product owners, DevOps, and engineering teams
- Mentor developers and provide technical leadership across AI and backend initiatives
- Ensure application scalability, reliability, security, and maintainability
- Participate in architecture reviews, technical design discussions, and solution planning
- Support deployment, monitoring, and optimization of AI-powered systems
- 10+ years of experience in software engineering with strong expertise in Python
- Strong hands-on experience in Generative AI and LLM technologies
- Ability to use AI in SDLC and software engineering workflows
- Experience with backend frameworks such as FastAPI, Flask, or Django
- Strong understanding of API development and microservices architecture
- Familiarity with AI orchestration frameworks such as LangChain or LlamaIndex
- Experience with cloud platforms such as AWS, Azure, or GCP
- Understanding of CI/CD pipelines, DevOps practices, and automation
- Strong leadership, mentoring, and stakeholder management skills
- Experience with vector databases and RAG architectures
- Exposure to MLOps and AI observability tools
- Experience with Docker, Kubernetes, and cloud-native deployments
