Remote Ai Engineer

AI Engineer

Openings: 4+ Experience: 4–5+ Years of Relevant AI/ML Experience Engagement: Full-Time | Approx. 6 Months Client: US-Based Customer Working Hours: Must be available to work according to the US time zone

Role Overview

We are urgently looking for experienced AI Engineers to join a full-time engagement with a US-based customer. The ideal candidates will have strong hands-on experience in Artificial Intelligence, Machine Learning, Generative AI, Large Language Models (LLMs), and production-grade AI solutions.

The selected engineers will work closely with technical and product teams to design, develop, optimize, and deploy scalable AI-powered applications and services.

Key Responsibilities • Design, develop, and deploy production-ready AI/ML and Generative AI solutions. • Build and integrate applications powered by Large Language Models (LLMs). • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines. • Work with embeddings, vector databases, document retrieval, and semantic search. • Fine-tune, evaluate, and optimize AI/ML models based on business requirements. • Build scalable APIs and backend services for AI applications. • Optimize LLM inference performance, latency, throughput, and resource utilization. • Work with model-serving and inference technologies such as vLLM and Ollama. • Apply optimization techniques including KV Cache, quantization, batching, and efficient model serving. • Develop machine learning solutions using frameworks such as PyTorch, TensorFlow, and Keras. • Integrate third-party and open-source AI models into enterprise applications. • Perform model evaluation, prompt engineering, experimentation, and performance benchmarking. • Collaborate with cross-functional and US-based teams throughout the development lifecycle. • Troubleshoot and resolve AI model, deployment, integration, and performance-related issues. • Follow software engineering best practices for scalable and maintainable AI solutions.

Required Skills & Experience • 4–5+ years of relevant experience in AI, Machine Learning, Deep Learning, or related technologies. • Strong programming skills in Python. • Strong hands-on experience with PyTorch, TensorFlow, and/or Keras. • Practical experience working with Generative AI and Large Language Models. • Hands-on experience building RAG-based applications. • Good understanding of: • LLM architecture and inference • Embeddings • Vector databases • Semantic search • Prompt engineering • Model evaluation • Fine-tuning • Experience with LLM serving/inference tools such as: • vLLM • Ollama • Understanding of LLM optimization concepts, particularly: • KV Cache • Quantization • GPU utilization • Inference optimization • Latency and throughput optimization • Experience developing and integrating REST APIs / AI services. • Understanding of scalable software architecture and production AI deployments. • Strong analytical, debugging, and problem-solving skills. • Ability to communicate effectively with international teams and customers. • Must be comfortable working according to US time-zone hours.

Preferred Skills • Experience with LangChain, LlamaIndex, or similar GenAI frameworks. • Experience with vector databases such as Pinecone, Milvus, Weaviate, FAISS, Chroma, or equivalent. • Exposure to cloud platforms such as AWS, Azure, or GCP. • Experience with Docker, Kubernetes, CI/CD, and MLOps. • Hands-on experience deploying AI/ML models into production environments. • Experience with open-source LLMs such as Llama, Mistral, Qwen, or similar models. • Previous experience working with US-based customers or distributed international teams will be an advantage.

Ideal Candidate

We are looking for engineers who are not limited to model experimentation but have experience building, integrating, optimizing, and deploying AI solutions in real-world production environments.

Candidates should be technically strong, self-driven, comfortable working directly with customer teams, and capable of delivering in a fast-paced environment.

Engagement Requirements • Full-time commitment for approximately 6 months. • Availability to work according to the US time zone. • Ability to collaborate directly with US-based stakeholders. • Immediate or short-notice availability will be preferred due to the urgent nature of the requirement. Apply at [email protected]

Work Location: Remote