Senior AI Engineer: Agentic RAG & Autonomous Systems

Devsinc; Lahore; Hybrid; PKR 2,800,000 - 6,000,000; Full time

Job summary

Devsinc Lahore is seeking a seasoned AI/ML engineer to own the end-to-end AI lifecycle, from experimentation to production. You will design autonomous AI agents, RAG systems, and scalable backend services using Python and modern ML stacks.

Responsibilities include building semantic search pipelines, optimizing inference, and guiding cloud deployments with security guardrails. You will mentor juniors and collaborate with enterprise clients to deliver measurable outcomes.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field.
• 4+ years of post-graduation AI/ML engineering experience shipping LLM apps to production.
• Strong Python proficiency with PyTorch and/or TensorFlow.
• Experience integrating commercial/open-source LLMs, including prompts and function calls.
• Hands-on with vector DBs and semantic search pipelines.

Responsibilities

• Design, develop, and deploy AI/ML apps including autonomous agents and tool-using systems.
• Build RAG and semantic search pipelines with embeddings and vector search.
• Develop production-grade backend APIs and real-time inference microservices.
• Improve model inference quality, latency, and cost via tuning and optimization.
• Lead MLOps and CI/CD pipelines with model versioning and testing.

Skills

Python & ML frameworks

LLM integration

Vector search

API & microservices

Cloud & DevOps

Security & evaluation

Education

Bachelor's degree in CS/SE/Data Science

Tools

pgvector

Pinecone

Weaviate

Qdrant

Milvus

Elasticsearch

FastAPI

PostgreSQL

MySQL

Docker

Git

CI/CD

AWS/Azure/GCP

LangChain/LlamaIndex

Hugging Face Transformers

vLLM/Ollama

LoRA/PEFT

MLOps tools (MLflow, Kubeflow)

Job description

Devsinc Lahore is seeking a seasoned AI/ML engineer to own the end-to-end AI lifecycle, from experimentation to production. You will design autonomous AI agents, RAG systems, and scalable backend services using Python and modern ML stacks.

Responsibilities include building semantic search pipelines, optimizing inference, and guiding cloud deployments with security guardrails. You will mentor juniors and collaborate with enterprise clients to deliver measurable outcomes.