Senior AI Software Engineer

2 weeks ago


palakkad, India beBeeartificialintelligence Full time

Artificial Intelligence EngineerThis is a senior role for an experienced professional who will be responsible for developing and deploying artificial intelligence solutions. The successful candidate will have a strong background in machine learning, natural language processing, and software engineering.The ideal candidate will have 5+ years of professional experience with at least 3 years focused on AI/ML and large language model-based systems. Advanced proficiency in Python programming is required, as well as hands-on experience with LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex or similar AI frameworks.We are seeking a skilled and innovative engineer to join our team and help us drive the development of cutting-edge AI solutions. If you have a passion for AI and a strong technical background, we encourage you to apply for this exciting opportunity.RequirementsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.Strong experience with cloud AI platforms including Azure AI, AWS (Bedrock, Lambda, ECS), and Google Cloud Platform (GCP).Proficiency in 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.Preferred SkillsExperience working with embedding-based search systems and graph technologies such as Neo4j and GraphRAG.Knowledge of AI ethics, governance, and compliance frameworks applicable to regulated industries.Demonstrated leadership skills with experience mentoring teams and managing cross-functional collaboration.Tools and TechnologiesProgramming 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 toolsOther: Knowledge of AI governance, ethical AI


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