We are looking for an experienced AI Engineer with strong expertise in Agentic AI, large language model (LLM) deployment, and computer vision workflows. In this role, you will develop intelligent multi-agent systems and implement scalable AI solutions for video and image processing on cloud-native platforms. Key responsibilities include orchestrating agent systems, deploying AI models, and building comprehensive video intelligence pipelines for our AI Video Tool.

Responsibilities

– Design and deploy LLM and computer vision models using AWS services such as Batch, Fargate, Lambda, SageMaker, and Bedrock to enable scalable, low-latency inference.
– Implement distributed training across multiple GPUs and build serverless AI inference systems.
– Coordinate multi-agent workflows using tools like LangChain, LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, and Agent OS.
– Develop sophisticated video and image processing pipelines, including detection, tracking, and generative AI techniques.
– Create intelligent communication protocols for AI agents to automate distributed tasks.
– Follow MLOps and LLMOps best practices to ensure production-grade AI pipelines.

Qualifications

– Over 5 years of experience in AI/ML engineering with strong Python skills.
– Demonstrated success in deploying AI solutions on cloud-native platforms such as AWS Batch, Fargate, and Lambda.
– Deep knowledge of agent orchestration tools like LangGraph, AutoGen, CrewAI, and OpenAI Agents SDK.
– Strong background in computer vision and generative AI using frameworks like PyTorch, TensorFlow, and CUDA.
– Experience with vector databases (e.g., FAISS, Milvus, Weaviate), advanced retrieval-augmented generation (RAG/GraphRAG), and knowledge graphs.
– Proficient in building automated workflows, distributed inference systems, and scalable AI architectures.

Preferred Qualifications

– Familiarity with multiple cloud platforms, including GCP Vertex AI and Azure AI.
– Background in reinforcement learning, context engineering, and advanced prompt engineering.
– Industry experience in sectors such as fintech, healthcare, aviation, or energy.