Senior Software Engineer

Technical Leadership & Architecture:
Lead design discussions and define architecture for AI-powered platforms.
Ensure scalability, security, and performance of GenAI applications.
LLM Integration & Optimization:
Fine-tune and integrate LLMs for complex NLP tasks.ImplementRetrieval-Augmented Generation (RAG), embeddings, and evaluation frameworks like RAGAS.
Backend Development & Data Engineering:
Develop and optimize backend services using Python, FastAPI, and containerization tools like Docker.
Oversee ETL processes and ensure data integrity for AI models.
Quality Assurance & Compliance:
Establish best practices for error handling, unit testing, and performance tuning.
Ensure compliance with data security and privacy standards.
Mentorship & Collaboration:
Mentor junior engineers and foster a culture of innovation
Collaborate with cross-functional teams to deliver enterprise-grade AI solutions.
Required Skills & Experience
Technical Expertise:
Advanced proficiency in Python, LLMs, AWS Bedrock, Azure, SQL, and Docker.
Strong experience with RAG, RAGAS, and embedding-based retrieval system
Professional Experience:
5+ years in software development, with at least 2 years in AI/LLM-related projects.
Proven track record in designing and deploying GenAI platforms at scale
Additional Skills:
Familiarity with OCR technologies, LLMOps, and AI evaluation frameworks
Strong problem-solving, leadership, and communication skills.
Preferred Qualification :
Bachelor's or Master's degree in Computer Science, Statistics, or related field.
Experience in enterprise AI solutions, chatbot development, and cloud-native architectures.