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Position Summary Development of AIdriven solutions, agentic workflows, and automation capabilities that accelerate business processes across the organization. Candidates will work closely with senior AI engineers, product owners, and business teams to design, prototype, and deploy intelligent systems using LLMs, embeddings, vector search, and Azure AI tools. Job Responsibilities This is an excellent prospect for someone early in their career to grow into advanced AI engineering, agentic architectures, and enterprise-scale AI delivery. Assist in designing, developing, and testing AI agents, GenAI workflows, and LLM-powered solutions. Support implementation of retrieval-augmented workflows (RAG) including embeddings, vector databases, and context engineering. Develop Python-based backend components, APIs, and integration logic for AI-driven systems. Collaborate with senior AI engineers to build multi-agent workflows, tool integrations, and agent orchestration pipelines. Contribute to development within AI platforms, Azure AI Foundry, and MCP-based tool ecosystems. Work with business stakeholders to understand problem statements and translate them into AI-enabled solutions. Perform testing, validation, and evaluation of LLM outputs, including applying guardrails and quality checks. Maintain documentation for prompts, workflows, tools, and AI system behaviors. Participate in Agile ceremonies and sprint activities within the AI engineering team. Education Bachelors degree in computer science, AI/ML/DS, Information Systems, Engineering, or a related field. Robust understanding of Python (preferred) or another major programming language (JavaScript/TypeScript, Java, etc.). Experience 12 years of hands-on experience in AI/ML, Generative AI, or software engineering involving LLMs. Other Requirements (licenses, certifications, specialized training if required) Experience using Agentic AI frameworks such as: LangChain LangGraph Azu .
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