smart-working-solutions - Smart Working Solutions - AI Engineer (Remote, Full-Time) [HR140]
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Requirements
• Strong full-stack engineering experience, including DevOps-oriented, code-as-infrastructure approaches • Hands-on experience with containerisation and orchestration, including Docker and Kubernetes • Proven experience building cloud-native solutions, with Azure preferred experience with services such as Azure Functions, APIM, Azure AI Foundry, Resource Groups, Storage Accounts, Application Insights, and Key Vault • Practical experience developing GenAI applications, including: Retrieval-Augmented Generation (RAG), Prompt and context engineering, Embeddings and chat completions, Integrating with Large Language Model (LLM) APIs. • Strong understanding of Agentic AI architectures, including: LLMs and Model Context Protocols (MCP), Agent hierarchies and orchestration and Memory management, traceability, and evaluation frameworks. • Proficiency in Python and SQL, with experience using Node.js and ReAct-style reasoning patterns • Experience delivering AI solutions within regulated or enterprise environments, such as insurance or financial services • Prior exposure to AI governance, guardrails, and responsible AI practices • Experience working closely with business stakeholders to translate complex requirements into AI-driven solutions • Interest in mentoring, documentation, and building shared AI engineering standards
Responsibilities
• Design, develop, and deploy AI and GenAI applications in enterprise environments, following established SDLC standards • Build Task, Domain, and Orchestrator AI Agents using multi-agent frameworks • Design and implement Agentic AI systems, including memory, guardrails, orchestration, trace management, evaluation frameworks, and tool marketplaces • Integrate AI and GenAI applications into existing systems and workflows, ensuring reliability and scalability • Collaborate with data engineers to design and maintain data pipelines and infrastructure that support AI applications and agents efficiently • Monitor, evaluate, and improve the performance of AI applications, agents, and agentic systems through robust evaluation practices • Work closely with cross-functional teams including project managers, platform engineers, data engineers, solution engineers, data scientists, and business stakeholders • Stay up to date with the latest AI and machine learning advancements and apply relevant innovations to active projects • Produce clear technical documentation, share knowledge, and contribute to upskilling the wider engineering team
Benefits
• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter) • No Weekend Work: Real work-life balance, not just words • Day 1 Benefits: Laptop and full medical insurance provided • Support That Matters:Mentorship, community, and forums where ideas are shared • True Belonging: A long-term career where your contributions are valued • At Smart Working, you’ll never be just another remote hire. • Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition. • If that sounds like your kind of place, we’d love to hear your story.
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