AI Engineer

Job Title: AI EngineerExperience Level: 2–3 YearsLocation: RemoteEmployment Type: Full-timeAbout the RoleWe are seeking an AI Engineer with 2–3 years of hands-on industry experience. The ideal candidate will have strong proficiency in Python, experience with modern AI frameworks, and a solid understanding of cloud-based AI infrastructure. You will build, deploy, and maintain intelligent applications leveraging AWS services and vector databases.Key ResponsibilitiesDesign, develop, and deploy AI applications using LangChain and LangGraph.Implement and optimize APIs using FastAPI in Python.Integrate and manage vector databases such as Pinecone, PostgreSQL, and MariaDB.Develop and maintain data pipelines and AI workflows using AWS services, including SageMaker, Bedrock, RDS, and EC2.Configure load balancers, auto-scaling, and secure environments for model deployment.Collaborate with data scientists, backend developers, and DevOps engineers to ensure efficient AI operations.Monitor, evaluate, and improve AI models and infrastructure performance.Required Skills and QualificationsBachelor’s degree in Computer Science, AI, Data Engineering, or related field.2–3 years of professional experience in AI or ML engineering.Strong programming skills in Python and experience with FastAPI.Proficiency with LangChain and LangGraph.Experience deploying AI applications on AWS, especially with SageMaker, Bedrock, RDS, and EC2.Knowledge of vector databases such as Pinecone, PostgreSQL, or MariaDB.Familiarity with API design, CI/CD, and cloud security principles.Preferred SkillsExperience with containerization (Docker, ECS, or Kubernetes).Understanding of retrieval-augmented generation (RAG) and LLM deployment.Basic front-end integration understanding for AI-driven applications.What We OfferCompetitive compensation and benefits.Opportunities to work on cutting-edge AI systems.Collaborative and growth-oriented environment.