Senior AI Engineer
Bangalore; Gurgaon, India
INR 1800K-2800K (estimate) Senior-level Full Time
Tasks
- Build RAG pipelines for retrieval augmented generation
- Build scalable backend systems and APIs
- Collaborate on CI/CD pipeline integration
- Conduct code reviews
- Deploy ML models using MLOps practices
- Design and develop agentic AI applications
- Design prompts and workflows for code generation debugging refactoring and documentation
- Evaluate validate and harden AI generated code for production
- Experiment with emerging AI tools and integrate into development workflows
- Implement unit testing integration testing and automated checks
- Integrate LLMs and AI services into applications
- Mentor junior engineers on AI assisted development
- Optimize prompts latency and cost for AI features
- Use AI coding assistants to accelerate software development
- Write testable, maintainable code
Perks/Benefits
- Autonomy
- Flexible growth opportunities
- Learning and development programs
- Mentorship
- Open source contributions
- Tech community speaking engagements
Skills/Tech-stack
AWS | Agile | Anthropic | Azure | CI/CD | Code Reviews | Context engineering | CrewAI | Django | Embeddings | FastAPI | Flask | Git | Integration Testing | LLM APIs | Langchain | Langgraph | Llamaindex | MCP | Microservices | OpenAI | Prompt engineering | Python | RAG | RESTful APIs | Unit Testing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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