AI Engineer (Generative AI/ Agents)

Job Description

We are looking for a highly skilled AI Agent Engineer / Generative AI Engineer with hands-on experience in building and deploying enterprise-grade Generative AI and AI Agent solutions using AWS Bedrock as the primary platform and Google Gemini / Vertex AI Agent Builder as a secondary ecosystem.

The ideal candidate should have robust expertise in AI workflow orchestration, prompt engineering, tool calling, guardrails, conversation memory management, and evaluation frameworks for LLM-powered applications.

This role requires a blend of backend engineering, GenAI architecture, and AI product thinking to build scalable, secure, and observable AI systems for enterprise use cases.

Key Responsibilities

AI Agent Development
Design, develop, and deploy AI agents using Amazon Web Services Bedrock.
Build multi-step agentic workflows with tool calling, orchestration logic, and contextual reasoning.
Integrate external APIs, enterprise systems, databases, and knowledge sources into AI workflows.





Prompt Engineering & Orchestration
Develop advanced prompt orchestration frameworks for reliable and scalable AI interactions.
Optimize prompts for accuracy, latency, safety, and cost efficiency.
Implement prompt chaining, contextual retrieval, and response grounding techniques.

Tool Calling & Workflow Design
Build structured tool-calling frameworks for enterprise AI applications.
Design agent workflows involving function calling, task decomposition, and autonomous execution patterns.
Develop reusable orchestration pipelines for AI-driven automation.

Guardrails & AI Safety
Design and implement AI safety policies, moderation layers, and governance mechanisms.
Create guardrails for hallucination control, prompt injection prevention, and secure AI responses.
Ensure responsible AI practices and enterprise compliance standards.

Conversation Memory & Session Management
Implement short-term and long-term conve

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