Generative AI Engineer

Key Responsibilities

• Design, develop, and deploy Generative AI models and pipelines for real-world use cases.
• Build and optimize solutions using AWS AI/ML services, including Amazon Bedrock as comprehensive native functionalities, SageMaker, and related cloud-native tools.
• Develop and orchestrate Agentic AI systems, integrating autonomous agents with structured workflows and dynamic decision-making.
• Collaborate with cross-functional teams including data scientists, cloud engineers, and product managers to translate business needs into GenAI solutions.
• Implement prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques to optimize model performance.
• Ensure robustness, scalability, and compliance in GenAI workloads deployed in production environments.

Required Skills & Qualifications:

• Strong experience with Generative AI models (e.g., GPT, Claude, Mistral, etc.)
• Hands-on experience with Amazon Bedrock and other AWS AI/ML services.
• Proficiency in building and managing Agentic AI systems using frameworks like LangChain, AutoGen, or similar.
• Solid understanding of cloud-native architectures and ML Ops on AWS.
• Proficiency in Python and relevant GenAI/ML libraries (Transformers, PyTorch, LangChain, etc.)
• Familiarity with security, cost, and governance best practices for GenAI on cloud.

Good-to-Have Skills

• AWS certifications (e.g., AWS Certified Machine Learning Specialty)
• Experience with LLMOps tools and vector databases (e.g., Pinecone, FAISS, Weaviate)
• Background in NLP, knowledge graphs, or conversational AI.

Why Join Globussoft?

• Opportunity to work in a fast-growing global tech company.
• Exposure to cutting-edge products and SaaS markets.
• Growth-oriented and collaborative work environment.