Senior AI Engineer - Chatbot and Agentic AI

Role Overview

Join Snoonu as a Senior AI Engineer to lead our conversational AI and agentic automation initiatives. Serving as a technical cornerstone of the R&D team, you will design, develop, and deploy sophisticated chatbot systems utilizing AWS infrastructure and leading-edge large language models (LLMs), primarily focusing on Claude. This role involves architecting autonomous AI pipelines that transform standard operating procedures into reliable, automated workflows supporting customer service, order checks, and logistics.

Beyond technical build-out, you will establish engineering standards, mentor junior team members, and collaborate with leadership to set future technological directions.

Key Responsibilities

• Own the full architectural lifecycle of Snoonu’s conversational and agentic AI platforms, including LLM selection, prompt methodologies, cloud infrastructure, and monitoring.
• Set engineering benchmarks, design frameworks, and best practices; lead design evaluations and uphold technical quality.
• Mentor less experienced engineers, review code, and boost the team’s expertise in LLM applications.
• Collaborate with R&D leadership to assess emerging AI technologies, formulate roadmaps, and provide informed recommendations.
• Lead the creation and maintenance of multi-channel chatbots across web, WhatsApp, and apps using AWS Lex, Bedrock, and API Gateway integrated with Claude and other LLMs.
• Address complex dialogue model challenges like multi-turn reasoning, maintaining context, intent clarification, and fallback mechanisms.
• Seamlessly connect chatbots with backend order, CRM, and logistics APIs via secure and scalable REST and event-driven designs.
• Conduct iterative LLM evaluations, benchmarking models, prompt configurations, and Retrieval-Augmented Generation (RAG) setups for performance and cost-effectiveness.
• Design agentic AI frameworks automating multi-step workflows embedding Snoonu SOPs for operational tasks in customer support and logistics.
• Decide on orchestration technologies (e.g., LangGraph, CrewAI, Bedrock Agents, Step Functions) ensuring reliability, ease of troubleshooting, and scalability.
• Implement robust memory and context management, tool integration, and safety guardrails to maintain agent stability in challenging scenarios.
• Establish human oversight through checkpoints, confidence metrics, and escalation protocols to complement AI with human judgment.
• Build and maintain AWS cloud infrastructure components such as Lambda, ECS/Fargate, messaging services, databases, storage, and monitoring with emphasis on scalability, cost, and dependability.
• Create CI/CD pipelines supporting prompt versioning, model deployments, A/B testing, and automated evaluations pre-production.
• Define monitoring systems for drift detection, latency, cost tracking, and failure rates across AI deployments.
• Lead frontier model benchmarking including Claude, GPT, LLaMA, Mistral, and other open-source models to align solutions with company use cases.
• Innovate by prototyping new AI capabilities from concept through validated proofs of concept.
• Produce clear, high-quality documentation including architecture decisions, experimental analyses, and prompt engineering guidelines.

Candidate Profile

• Possess a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related discipline.
• Bring 5–8 years of software engineering experience including at least 3 years working directly with LLMs, conversational AI, or autonomous AI systems.
• Demonstrate ownership of end-to-end production AI systems beyond modeling; portfolio or detailed case studies required.
• Have prior senior or technical lead experience with responsibilities in setting technical direction and mentoring.
• Strong proficiency in Python backend development, with frameworks like FastAPI or Flask; produce maintainable, clean code.
• A research-oriented approach with a passion for rapidly turning advanced AI research into practical applications.
• Exhibit complete ownership of projects and outcomes, proactively solving problems without awaiting instructions.
• Understand business implications, focusing on return on investment, operational impact, and user experience.
• Excellent communication skills for conveying complex AI design decisions clearly to diverse audiences and influencing strategy.
• Comfortable navigating ambiguous, fast-evolving R&D environments and continuously adapting approaches.
• Serve as a multiplier who elevates colleagues through code reviews, learning sharing, and constructive feedback.
• Collaborative and assertive, willing to challenge requirements and flag risks promptly.
• In-depth experience with LLM technologies including Anthropic Claude via API and AWS Bedrock, OpenAI GPT models, and open-weight models like LLaMA 3 and Mistral; expertise in prompt engineering and retrieval-augmented generation.
• Solid skills with AWS services: Amazon Bedrock, Lex v2, Lambda, API Gateway, Step Functions, SQS/SNS, DynamoDB, S3, CloudWatch, IAM, VPC, and Secrets Manager with emphasis on security and serverless architectures.
• Skilled in backend engineering principles, containerization using Docker, and familiar with orchestration platforms such as ECS/EKS.
• Experienced with version control, CI/CD pipelines, automated testing frameworks, and prompt version control systems.

About Snoonu

Snoonu is Qatar’s indigenous Super App delivering rapid delivery, shopping, and other essential services through a unified platform. Driven by a global team and technology innovation, Snoonu’s ambition is to become the region’s preeminent ultra app, using transformative technology to enhance lives and opportunities.

Our Values

• Customer Centricity: Always prioritize customer needs.
• Ethical Conduct: Commit to honesty and integrity.
• Innovation and Creativity: Constantly develop impactful solutions.
• Ownership and Leadership: Lead by example and take responsibility.
• Efficiency: Achieve more through smart, streamlined efforts.
• Collaboration: Foster team spirit and collective strength.

Employee Benefits

• Join a culturally diverse global team.
• Access dedicated budgets for learning and development.
• Autonomous work environment empowering personal ownership.
• Generous and flexible vacation and wellness programs.
• Agile operational and product workflows embedded in our culture.
• Certified Great Place to Work®, recognized for quality and workplace excellence.
• ISO 9001:2015 and ISO 45001:2018 certifications ensuring quality and safety.
• Commitment to sustainability and corporate social responsibility initiatives.
• Inclusive workplace culture that values diversity and equal opportunity.

Invitation

Become part of an innovative team where your contributions drive meaningful change and your voice matters. We look forward to building the future together with you.