Overview

As an Agentic AI Engineer you will drive the design and delivery of cutting-edge solutions in Agentic AI, Generative AI (GenAI), Conversational AI leveraging AWS services.

Responsibilities

• Support use cases across multiple business domains.
• Own the end-to-end product lifecycle for Generative AI, Agentic AI, AI/ML solutions, from design to deployment.
• Act as a bridge between business and technology teams, ensuring alignment of requirements and technical specifications.
• Enable data-driven insights and AI-powered automation for Conversational AI, GenAI, and ML use cases.
• Design & Implement Agentic, GenAI Solutions: Build robust Generative AI and Agentic AI applications using AWS Bedrock, SageMaker, and other AWS ML services.
• Develop LLM bases Use Cases: Architect and implement LLM based use cases like RAG, Summarization, data analysis etc. for enterprise-scale applications.
• LLM Finetuning & Evaluation: Fine-tune, evaluate, and optimize Large Language Models (LLMs) for performance, accuracy, and safety.
• Conversational AI Expertise: Design and deploy conversational AI models using Amazon Lex, Amazon Connect, and custom NLP pipelines.
• Integration & Collaboration: Work closely with product managers, engineers, and UX teams to embed AI capabilities into business workflows.
• Innovation & Research: Stay ahead of AI trends, frameworks, and best practices; apply them to drive continuous innovation.
• Quality & Governance: Maintain system design integrity, review test strategies, and ensure compliance with AI ethics and security standards.
• Incident Support: Assist in diagnosing and resolving production issues.
• Optimize solutions through thorough research experimentation, and advanced problem-solving techniques.
• Communicate complex concepts and results effectively to both technical and non-technical stakeholders.
• Strong proficiency in Python around Agentic, GenAI and AI/ML libraries (LangChain, LangGraph, Google ADK, Langfuse, OTEL, Transformers, CrewAI etc.).
• Proficiency in developing on AWS Solution including AIML ecosystem
• Deep understanding of AI Agents, Agentic architecture, Agentic Memory, Generative AI, LLMs, NLP, and Conversational AI.
• Deep understanding on Prompt engineering and Prompt management, refining and optimizing prompts to enhance the outcomes of Large Language Models (LLMs)
• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.

Qualifications

• Data Chunking and Embedding
• Model Evaluation, deployment, Training & Monitoring
• REST APIs, EKS