Software Engineer - AI IT Infrastructure & Operations

Conduct applied AI research to translate theoretical GenAI advancements into production-ready software features

Lead Technical Feasibility Studies and rapid prototyping to provide the engineering foundation for "build vs. buy" architectural decisions

Engineer Production-Grade NLP algorithms and information retrieval systems using SpaCy, NLTK, and Hugging Face to drive core product capabilities

Design, build, and maintain scalable RAG architectures that connect foundational Large Language Models (LLMs) to proprietary enterprise databases

Evaluate and apply appropriate embedding models, vector databases, and LLMs based on cost, latency, security, and performance requirements

Build enterprise-grade conversational interfaces and analytical AI tools (QueryGPT) that interface directly with structured data systems via custom middleware

Design and Build autonomous multi-agent frameworks (e.g., CrewAI, LangGraph) and scalable agentic platforms, focusing on distributed system architecture and secure execution environments

Develop Custom Extensions and API-based integrations for LLM models, creating sophisticated AI assistants through backend systems programming

Execute Model Engineering through supervised fine-tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) to optimize model weight distribution for scalability and reliability

Develop algorithmic prompt-chaining logic and maintain a centralized, version-controlled prompt library integrated into the CI/CD pipeline

Architect and Develop end-to-end evaluation pipelines for LLMs/SLMs, Engineering complex telemetry to capture performance, quantization efficiency, and fine-tuning convergence metrics

• Own the technical documentation, code maintainability, and reproducibility of the AI infrastructure, ensuring alignment with engineering excellence standards