Agentic AI Engineer at Supertech Group

New Delhi, delhi, India -

Full Time

Start Date

Immediate

Expiry Date

03 Jan, 26

Salary

0.0

Posted On

05 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python Engineering, Async Patterns, Robust Error Handling, RAG Skills, Vector DBs, Indexing Pipelines, Retrieval Quality Tuning, Systems Thinking, Security & Safety, GCP/AWS, Docker/Kubernetes, Message Buses/Streams, LLM Evaluation Frameworks, Synthetic Data Generation, Graph-Based Planning, Constraint Solvers

Industry

technology;Information and Internet

Description

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you are looking for , webook.com is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales. webook.com is part of the Supertech Group also consisting of UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA. Role Overview Build multi-step, tool-using agents that plan, retrieve, act, and verify. You’ll design agent architectures, integrate tools/APIs, and deliver robust execution with safety and observability. Key Responsibilities: Architect agent loops (planning, memory, retrieval, tool use, self-verification). Implement tools (functions/APIs/DB queries/files) and MCP-style interfaces. Combine RAG with agents: chunking, embeddings, retrieval, reranking, grounding. Add guardrails: execution sandboxes, permissions, rate limits, PII policies. Build evaluation for agents (task success, autonomy depth, recovery rate). Optimize for reliability, determinism where needed, and cost. Production experience with LangChain/CrewAI (or similar) and function/tool calling. Strong Python engineering; async patterns; robust error handling. Practical RAG skills: vector DBs, indexing pipelines, and retrieval quality tuning. Systems thinking: queues, retries, idempotency, caching, concurrency control. Security & safety for agents (prompt injection, tool scoping, least privilege). Nice-to-Haves GCP/AWS, Docker/Kubernetes; message buses/streams. LLM evaluation frameworks; synthetic data generation. Graph-based planning, constraint solvers, or program-of-thought techniques.

Responsibilities

The role involves building multi-step, tool-using agents that plan, retrieve, act, and verify. You will design agent architectures, integrate tools/APIs, and ensure robust execution with safety and observability.