AI Engineer (Agentic AI & Video Processing)

We are seeking a highly skilled AI Engineer with deep expertise in Agentic AI, LLM deployment, and computer vision pipelines. You will be responsible for building intelligent multi-agent systems and deploying scalable AI video/image solutions on cloud-native infrastructures. This role focuses on agent orchestration, AI model deployment, and end-to-end video intelligence pipelines for our AI Video Tool.

Responsibilities

• Design and deploy LLM and CV models using AWS Batch, Fargate, Lambda, SageMaker, and Bedrock for scalable and low-latency inference.
• Implement multi-GPU distributed training and serverless AI inference architectures.
• Orchestrate multi-agent workflows using LangChain, LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, and Agent OS frameworks.
• Develop advanced video and image processing pipelines (detection, tracking, generative AI).
• Build intelligent AI agent communication protocols for distributed task automation.
• Apply MLOps / LLMOps best practices for production-ready pipelines.

Qualifications

• 5+ years experience in AI/ML engineering with strong proficiency in Python.
• Proven track record of cloud-native AI deployments (AWS Batch/Fargate/Lambda).
• Expertise in Agent Orchestration frameworks (LangGraph, AutoGen, CrewAI, OpenAI Agents SDK).
• Strong knowledge of computer vision & generative AI (PyTorch, TensorFlow, CUDA).
• Experience with vectordatabases (FAISS, Milvus, Weaviate), Advanced RAG/GraphRAG, and knowledge graphs.
• Skilled in workflow automation, distributed inference, and AI systems architecture.

Nice to Have

• Multi-cloud exposure (GCP Vertex AI, Azure AI).
• Experience in Reinforcement Learning, context engineering, and advanced prompt design.
• Domain experience in fintech, healthcare, aviation, or energy.