🚀 Welcome to Your Next Adventure!
We are looking for a Senior AI Engineer to join Snoonu's R&D team as a technical anchor for our conversational AI and agentic automation strategy. You will lead the design and delivery of production-grade chatbot systems powered by AWS and frontier LLMs (Claude-first), and architect Agentic AI pipelines that encode Snoonu's SOPs into autonomous, reliable workflows across customer support, order verification, and logistics. Beyond building, you will set technical standards, guide junior engineers, and act as a key decision-maker in choosing the next technology directions the team will discover and dominate.
🛠 What You’ll Get Your Hands On:
Technical Leadership & Architecture
- Own the end-to-end architecture of Snoonu's conversational AI and agentic automation platform — from LLM selection and prompt strategy to cloud infrastructure and observability.
- Define engineering standards, design patterns, and best practices for AI system development; conduct design reviews and enforce quality bars.
- Mentor and guide junior/mid-level engineers; review code, provide technical feedback, and accelerate the team's LLM engineering capabilities.
- Partner directly with the R&D Director to evaluate emerging technologies, shape the team's technical roadmap, and present recommendations with trade-off analysis.
Conversational AI & Chatbot Development
- Lead the design and delivery of multi-channel chatbots (web, WhatsApp, app) using AWS Lex, Bedrock, and API Gateway integrated with Claude or other LLMs.
- Own complex dialogue system challenges: multi-turn reasoning, context persistence, intent disambiguation, and graceful fallback strategies.
- Integrate chatbots with Snoonu's backend services (order management, CRM, logistics APIs) via secure, scalable RESTful/event-driven patterns.
- Drive LLM evaluation cycles — benchmark model versions, prompt strategies, and RAG configurations against production quality and cost targets.
Agentic AI Pipelines
- Architect Agentic AI systems that encode Snoonu SOPs as autonomous, multi-step workflows for customer support, order verification, and logistics operations.
- Select and govern the right orchestration approach (LangGraph, CrewAI, Bedrock Agents, Step Functions) per use case — with a clear rationale on reliability, debuggability, and scalability.
- Design robust memory, context management, tool-use, and guardrail layers to ensure agents behave predictably in adversarial or edge-case conditions.
- Establish human-in-the-loop checkpoints, confidence thresholds, and escalation paths — ensuring agents augment rather than replace human judgment in critical decisions.
AWS Infrastructure & MLOps
- Design and own the cloud backbone for AI services: Lambda, ECS/Fargate, SQS/SNS, DynamoDB, S3, CloudWatch, and Bedrock — with a focus on scalability, cost, and reliability.
- Build CI/CD pipelines for prompt versioning, model rollout, A/B testing, and automated evals before production deployment.
- Define and enforce monitoring standards for drift, latency, cost, and failure rates across all deployed AI systems.
R&D & Innovation
- Lead frontier model evaluation — benchmark Claude, GPT, LLaMA, Mistral, and emerging open-weight models against Snoonu's specific use cases and constraints.
- Identify and prototype the next high-leverage AI capability the team should build — bring experiments from idea to validated proof-of-concept with clear go/no-go criteria.
- Produce high-quality technical documentation: architecture decision records, experimental results, and prompt engineering playbooks for team-wide use.
🧙♂️ The Magic You Bring
Education
- Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or a related field.
Experience
- 5–8 years of hands-on software engineering experience, with at least 3 years focused on LLM-based systems, conversational AI, or agentic architectures.
- Demonstrated track record of owning and shipping production AI systems end-to-end — not just models, but the full stack from API to monitoring. Portfolio, GitHub, or detailed case studies required.
- Prior experience in a senior IC or tech lead role: setting technical direction, conducting design reviews, and mentoring engineers.
- Strong Python and backend development skills (FastAPI / Flask preferred); ability to write clean, production-grade, maintainable code.
- Research-driven mindset — obsessed with what's next in AI; able to translate frontier research into production value quickly.
- Extreme ownership: you define the problem, architect the solution, ship it, and hold yourself accountable for outcomes — without waiting to be told.
- Strong business context awareness — you think about ROI, operational impact, and user outcomes, not just technical elegance.
- Senior communicator: can explain complex agent design trade-offs to non-engineers, write compelling technical proposals, and influence direction through clarity of thought.
- Thrives in ambiguity — can operate effectively in fast-paced R&D environments where the problem definition evolves alongside the solution.
- Natural multiplier: makes the engineers around them better through code reviews, design feedback, and knowledge sharing.
- Collaborative and direct — comfortable pushing back on requirements and raising risks early, not just executing orders.
LLMs & Generative AI (Core)
- Deep experience with Anthropic Claude (claude-3 / claude-sonnet / claude-opus) via API and AWS Bedrock — prompt engineering, tool use, and multi-turn reasoning.
- Familiarity with OpenAI GPT models and open-weight models (LLaMA 3, Mistral, Phi) — fine-tuning, quantisation, and local inference is a strong plus.
- Retrieval-Augmented Generation (RAG): vector databases (OpenSearch, Pinecone, pgvector), embedding models, and hybrid search.
- Agentic frameworks: LangChain / LangGraph, CrewAI, AutoGen, or AWS Bedrock Agents.
- Prompt engineering, system prompt design, evaluation (evals), and red-teaming for production safety.
AWS Services (Core)
- Amazon Bedrock — model invocation, Agents for Bedrock, Knowledge Bases.
- Amazon Lex v2 — intents, slots, fulfilment Lambda, conversation logs.
- Lambda, API Gateway, Step Functions, SQS/SNS, DynamoDB, S3, CloudWatch.
- IAM, VPC, Secrets Manager — security and environment best practices.
- Experience with event-driven and serverless architectures.
Backend & Engineering
- Python — OOP, async, clean code; REST API design with FastAPI or Flask.
- Containerization: Docker; orchestration experience (ECS / EKS) is a plus.
- Git, CI/CD pipelines, automated testing, and prompt versioning practices.
Inside Snoonu’s Universe
Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
The Dream We’re Chasing
To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.
The Quest We’re On
To radically transform how people live by leveraging technology to connect them with endless possibilities.
Our Everyday Superpowers
👥 Be Customer Obsessed: “Focus on the customer and all else will follow.”
💪 Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”
🧪 Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”
🏅Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”
🚀 Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”
👨💼 It's All About People: “Be a team player; together we are stronger.”
Perks & Worklife Magic At Snoonu
🌐 Global Vibes – Collaborate with a worldwide crew.
🧠 Brain Boosters – Learning budgets, access to courses, and tools for your growth.
🚒 Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.
🏝️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.
🛠️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.
Great Place to Work® Certified
We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.
Certified for Excellence
Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.
Beyond the Code: Giving Back Matters
We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.
Diversity Isn’t Just a Buzzword
At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
Let’s Build the Future Together
Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.
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