Expert Agentic AI Engineer

Tkxel LLC

Lahore

Sur place

PKR 38 770 000 - 52 617 000

Plein temps

14 jours+

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Résumé du poste

Tkxel is seeking an Expert AI Engineer to own the design, architecture, and deployment of agentic AI systems for a bilingual enterprise platform based on large language models. You will shape autonomous, multi-agent workflows and robust retrieval pipelines with production-grade RAG.

Responsibilities include architecting planning-driven systems, orchestration across agents and tools, and durable state management with retries.

Qualifications

  • Deep, demonstrated expertise in agentic AI and LLM-based applications.
  • Expert Python proficiency and strong software engineering foundation.
  • Proven experience architecting agentic systems with planning and orchestration.
  • Hands-on experience with LangGraph, LangChain, LlamaIndex, AutoGen, or CrewAI.
  • Strong command of agent state management and tool calling standards (MCP).
  • Experience designing DAG/state-machine workflows with durable state and retries.
  • Experience building connectors to enterprise systems and OAuth-based auth.
  • Production experience with background schedulers (Celery, Airflow, Temporal).
  • Hands-on with vector databases and lexical search (BM25, Elasticsearch).
  • Advanced prompt engineering, grounding, and evaluation strategies.

Responsabilités

  • Architect agentic systems with planning, memory, and multi-step task execution.
  • Define orchestration patterns across agents, tools, and LLM calls.
  • Design robust single- and multi-agent architectures with state management.
  • Develop the workflow layer with versioned, durable workflows and retries.
  • Build connectors to enterprise content sources and APIs with secure auth.
  • Own the background processing layer including ingestion and indexing.
  • Oversee RAG layer including embedding, retrieval, and grounding generation.
  • Implement and tune dense, sparse, hybrid, and metadata-based retrieval.
  • Define prompts, grounding, and verification to ensure accurate responses.
  • Set evaluation frameworks and quality gates to improve latency and reliability.

Connaissances

Agentic AI
LLM apps
Python
System design
Production deployment
LangGraph
LangChain
LlamaIndex
AutoGen
CrewAI
MCP
DAG/state machine
Celery
Airflow
Temporal
Milvus
FAISS
Qdrant
pgvector
BM25
Elasticsearch
RAG
Retrieval techniques
Prompt engineering
Grounding
Evaluation frameworks

Outils

Milvus
FAISS
Qdrant
pgvector
BM25
Elasticsearch

Description du poste

Tkxel is seeking an Expert AI Engineer to own the design, architecture, and deployment of agentic AI systems for a bilingual enterprise platform based on large language models. You will shape autonomous, multi-agent workflows and robust retrieval pipelines with production-grade RAG.

Responsibilities include architecting planning-driven systems, orchestration across agents and tools, and durable state management with retries.

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