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Develop intelligent, autonomous solutions that drive business value by designing and building agentic workflows.

Requirements

• Strong software development skills with proficiency in Python or similar languages
• Experience designing and building agentic workflows or multi?agent systems
• Familiarity with orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)
• Solid understanding of AI/ML concepts, including LLMs and prompt engineering
• Hands?on experience with cloud platform AWS
• Knowledge of APIs, microservices, and system integration
• AWS & Platform: Bedrock Knowledge Bases, Agents, Guardrails early adoption / integration patterns.

Responsibilities

• Design, build, and maintain agentic workflows and autonomous systems
• Develop and integrate AI models into production?grade applications
• Implement orchestration logic for multi?agent systems and task automation
• Write clean, scalable, and maintainable code in support of AI initiatives
• Monitor and optimize the performance of AI systems in production
• Stay current with advancements in AI, LLMs, and agentic architectures
• Practical prompt engineering & prompt lifecycle management (versioning, regression testing).

Other

• Collaborate with cross?functional teams to gather requirements and deliver AI?driven solutions
• Excellent problem?solving and communication skills
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
• Amazon Q or similar copilots in internal tooling contexts.
• Hybrid retrieval (BM25 + vector fusion, rerankers) or experimentation with multi?vector approaches.