Sr. Software Engineer (AI/ML Focus) | Architecting RAG & Multi-Agent Systems
Summary
Senior Software Engineer | AI & Cloud Specialist Experienced Software Engineer with a proven track record in developing enterprise-level distributed micro services on AWS. Currently focused on Agentic AI and MLOps, with recent hands-on experience architecting modular, type-safe AI backends using FastAPI, Pydantic, and LangChain. Proficient in implementing observability (Arize Phoenix) and evaluation frameworks (DeepEval) for production-grade LLM applications. Combining deep theoretical knowledge of Neural Networks and Linear Regression with practical system design skills to deliver scalable AI solutions.
Expectations
I am seeking a senior engineering role that leverages my extensive experience in architecting distributed microservices on AWS to build scalable, production-grade AI applications. My ideal position combines robust backend development with modern AI tools, such as Agentic AI and RAG, to deliver high-performance cloud solutions.
Employment Preferences
Spoken Languages
- English - Fluent
- Hindi - Fluent
- Malayalam - Fluent
- German - Beginner
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- AI
- Machine Learning
- Artificial Intelligence
- Generative AI
- Agentic AI
- Large Language Models
- LLM
- RAG
- Retrieval-Augmented Generation
- LangChain
- MLOps
- Deep Learning
- Neural Networks
- Natural Language Processing
- NLP
- Prompt Engineering
- Arize Phoenix
- DeepEval
- Model Evaluation
- AI Agents.
- Software Engineering
- Cloud
- Java
- Python
- Spring Boot
- Microservices
- AWS
- Amazon Web Services
- Distributed Systems
- Cloud Computing
- REST APIs
- FastAPI
- Pydantic
- MongoDB
- SQL
- NoSQL
- Object-Oriented Programming
- OOP
- System Design
- Scalability
- High Availability
- Data Structures
- Algorithms
- CI
- CD
- DevOps
- Scrum
- Agile Methodologies
- Big Data
- Hadoop
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