Software Engineer [Multiple Positions Available]

DESCRIPTION:

Duties: Lead Al-driven conversation management across user interactions, including intent detection, context tracking, escalation, and safety controls to ensure reliable and compliant experiences at scale.

Run structured reviews for design, performance, and scalability.

Set technical vision and architectural standards.

Drive reference architectures and roadmaps for critical platforms and services.

Establish coding standards, code review practices, and documentation norms.

Communicate architecture decisions, risks, and status to senior leadership.

Own design systems and reusable component libraries to accelerate UI delivery and enforce accessibility and performance standards.

Drive talent acquisition initiatives by actively engaging in the recruitment and hiring process.

Work with the scrum team to deliver software solutions by providing the essential benefit to the customers and delivering solution to the functional requirements.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Computer Engineering, Electrical Engineering, Communications Engineering, Computer Information Systems, or related field of study plus 3 years of experience in the job offered or as Software Engineer, IT Consultant, or related occupation.

The employer will alternatively accept a Bachelor's degree in Computer Engineering, Electrical Engineering, Communications Engineering, Computer Information Systems, or related field of study plus 5 years of experience in the job offered or as Software Engineer, IT Consultant, or related occupation.

Skills Required: This position requires one (1) year of experience with the following: Designing and developing user interfaces for AI-driven applications including chatbots, virtual assistants, recommendation systems, and NLP applications related to document summarization; Implementing parallel and asynchronous programming techniques, including debouncing, throttling, promises, optimized rendering, lazy loading, and memoization; Implementing state management using React and Redux in high-concurrency environments; Architecting scalable, real-time frontend and backend systems using event-driven architectures and non-blocking I/O principles; Troubleshooting and resolving performance bottlenecks in distributed and asynchronous environments across cloud and on- premises infrastructure; Designing, implementing, and evaluating Retrieval-Augmented Generation (RAG) architectures for enterprise-scale AI applications, focusing on accuracy, latency, recall, precision, and scalability; Developing hybrid search pipelines including document chunking, vector similarity, and context window management; Enhancing semantic search and data access efficiency by leveraging dense and sparse retrieval methods using vector databases including FAISS, Milvus, BM25, and ElasticSearch; Integrating retrieval systems with generative models to improve grounding, factuality, and context-aware generation in real-time application...