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Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
Builds and maintains data pipelines, warehouses, and AI-driven solutions using Python, SQL, and cloud tech to support analytics and ML workflows.
Builds cloud-native software and AI solutions for enterprise clients, using Python, TypeScript, and agentic-coding tools like Claude Code while advising on architecture and security.
Build and improve AI models and systems for a company whose core product is AI/ML.
Design and deploy production-grade GenAI and ML solutions on AWS, optimizing cost, security, and performance while embedding reusable patterns into DoiT’s Cloud Intelligence platform.
Design and deploy production-grade GenAI and ML solutions on AWS for enterprise customers, focusing on cost efficiency, reliability, and security while creating reusable patterns and driving product adoption.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, and RAG; evaluate models and datasets.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and vector databases in Python with PyTorch and HuggingFace.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and evaluation frameworks while collaborating with AI Engineering teams.
Build and tune NLP and generative-AI models using prompt engineering, fine-tuning, RAG, and vector databases, then deploy them with Docker and GPU training.
Build and maintain scalable data pipelines, vector stores, and LLM-driven BI systems using Python, Spark, and cloud ML services to power real-time AI applications.
Senior Full Stack Engineer building AI-driven applications with LLMs, LangChain/LangGraph, React, and Python; designs scalable systems integrating models, APIs, and modern UX.
Build and optimize robust, scalable data pipelines and architectures for enterprise clients, blending hands-on engineering with consulting to turn business needs into actionable data solutions.
Builds and deploys Python-based backend services for banking software, integrates LLMs via LangChain/LangGraph, and optimizes AI workflows with cloud APIs.
Backend developer building Python FastAPI services that integrate AI models and Azure cloud tools for computer vision and video analytics solutions.
Build and deploy AI/ML models for a public-sector client, focusing on OCR, object detection, and LLM fine-tuning using Python, PyTorch, Hugging Face, and AWS serverless tools.
Lead a team to build enterprise-scale generative AI and agentic systems using LLMs, RAG, and multimodal pipelines for Mastercard’s Business & Market Insights group.
Develops and optimizes inference software for large language models using TensorRT-LLM, focusing on performance and scalability across platforms.
Build and deploy intelligent AI agents using LangChain, LangGraph, and LLMs to automate enterprise supply-chain workflows with Python, FastAPI, and cloud-native tools.
Lead the design and deployment of generative AI and agentic systems for Capital One, optimizing LLM inference, vector search, guardrails, and scalable AI infrastructure.
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