AI System Architect

1 week ago

kannur, India beBeeArtificial Full time

AI Software EngineerWe are seeking a skilled AI software engineer to architect and implement end-to-end full-stack solutions that integrate real-time and historical data for autonomous decision-making.This role requires experience with frameworks such as LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex for document authoring, semantic search, and recommendation systems.The ideal candidate will have expertise in building scalable APIs using frameworks like FastAPI and Flask, and integrating them with enterprise systems.Additionally, they should be proficient in cloud AI platforms including Azure AI, AWS (Bedrock, Lambda, ECS), and Google Cloud Platform (GCP).A strong understanding of containerization and orchestration tools like Docker, Kubernetes, and infrastructure as code using Terraform is also essential.Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.5+ years of professional software engineering experience with at least 3 years focused on AI/ML and large language model-based systems.Advanced proficiency in Python programming.Hands-on experience with LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex or similar AI frameworks.Deep understanding of LLM architectures, prompt engineering, retrieval-augmented generation (RAG), and semantic search methodologies.Experience working with embedding-based search systems and graph technologies such as Neo4j and GraphRAG.Proficiency in cloud AI platforms including Azure AI, AWS (Bedrock, Lambda, ECS), and Google Cloud Platform (GCP).Strong experience with containerization and orchestration tools including Docker, Kubernetes, and infrastructure as code using Terraform.Expertise in building scalable APIs using frameworks such as FastAPI and Flask, and integrating them with enterprise systems.Familiarity with CI/CD pipelines and observability tools to ensure reliable deployment and monitoring of AI services.Knowledge of AI ethics, governance, and compliance frameworks applicable to regulated industries.Demonstrated leadership skills with experience mentoring teams and managing cross-functional collaboration.Requirements:Programming Languages & Frameworks: Python, FastAPI, FlaskAI Frameworks: LangChain, LangGraph, AutoGen, CrewAI, LlamaIndexDatabases: Neo4j, Vector DatabasesCloud Platforms: AWS (Bedrock, Lambda, ECS), Azure AI, GCPContainerization & Orchestration: Docker, KubernetesInfrastructure as Code: TerraformData Processing & Pipelines: Snowflake SQL, AWS-native servicesDevOps & CI/CD: CI/CD pipelines, observability tools

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