Looking for a remote and onsite AI/GenAI Engineer role focused on LLM agents, RAG, AI automation, and voice AI. Open to worldwide opportunities and distributed teams, with a focus on building and deploying production-grade AI solutions.

Muhammad Anas Khan
@muhammadanaskhan2
AI Engineer at Tkxel building production LLM agents and multi-agent workflows, with 20+ AI applications delivered.
What I'm looking for
At Tkxel, I design and ship autonomous LLM-powered agents and multi-agent workflows for enterprise clients. I build RAG pipelines and semantic search, and harden production agents with validation, fallback handling, and prompt-injection defenses.
I’ve delivered 20+ production AI applications and built projects including NovaMart, a multi-agent e-commerce automation platform, and an AI teaching copilot with 85% response accuracy. My work also includes fine-tuning and distilling YOLOX models for edge deployment, and I’m published in Elsevier’s Machine Learning with Applications.
Experience
Work history, roles, and key accomplishments
AI Engineer
Tkxel
Jul 2025 - Present (1 year 3 months)
Design and ship autonomous LLM-powered agents and multi-agent workflows for enterprise clients using LangChain, LangGraph, LlamaIndex, CrewAI, and AutoGen. Evaluate AI-generated code for correctness, hallucinations, and reasoning quality, and apply advanced prompt engineering to improve agent behavior.
Junior AI Engineer
Reporteq
Sep 2025 - Jun 2026 (9 months)
Designed, developed, and deployed agentic AI and LLM solutions for real-world business use cases, from experimentation through production deployment. Built LLM-integrated pipelines and reporting automations, iteratively evaluating agent outputs and refining prompt design for consistency and accuracy.
Education
Degrees, certifications, and relevant coursework
Namal University
Bachelor of Science, Computer Science
Grade: 3.2/4.0
Pursued a BS in Computer Science with a focus on artificial intelligence, machine learning, and natural language processing, graduating in 2025 with a CGPA of 3.2/4.0.
Tech stack
Software and tools used professionally
GitHub
Jupyter
NumPy
Pandas
Gmail
Next.js
Slack
OpenCV
Redis
Python
TensorFlow
PyTorch
scikit-learn
Keras
OpenVINO
Celery
FastAPI
Transformers
Google Workspace
Git
Docker
Zapier
GuardRails
CUDA
SQL
XGBoost
Supabase
LangChain
LlamaIndex
Weaviate
ChromaDB
AutoGen
Pydantic
Pinecone
CrewAI
Label Studio
Codeium
Cursor
LiveKit
GitHub Copilot
ONNX Runtime
N8N
pgvector
Faiss
LangGraph
LangSmith
Make
Vapi
Windsurf
Claude Code
Roboflow
AWS
Google Gemini
Availability
Location
Authorized to work in
Portfolio
anaskhan-ai.netlify.appSalary expectations
Job categories
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