Senior AI Engineer: LLMs, RAG & Agentic Systems

Devsinc; Lahore; Sur place; PKR 27 670 000 - 38 738 000; Plein temps

Résumé du poste

Devsinc is seeking a Senior AI Engineer to design, build, and scale Python backend services and agentic AI systems. You will develop RAG pipelines, integrate LLMs, and run production AI systems with monitoring and evaluation.

You will lead technical design, mentor engineers, and present AI solutions to clients and stakeholders, while taking part in on-call rotations and shaping AI engineering standards across projects.

Qualifications

• 3 to 6 years of professional software engineering experience, mostly in Python.
• Strong production experience with FastAPI plus Django and/or Flask, including async programming and REST API design.
• Hands-on experience building LLM-powered applications, including at least one RAG or agent-based system in production.
• Working knowledge of vector databases (Pinecone, Weaviate, Qdrant, pgvector) and embedding models.
• Solid data science fundamentals: data wrangling, statistics, model evaluation, and working with structured and unstructured data.
• Strong SQL skills (PostgreSQL) and experience with NoSQL stores and Redis.
• Hands-on cloud experience (AWS, GCP, or Azure) and containerization with Docker.
• Strong testing habits (pytest) and clean, typed Python (type hints, Pydantic).
• Understanding of API security, OAuth 2.0, JWT, and responsible handling of sensitive data.
• Proven ability to lead projects and guide team members from proof of concept to production.

Responsabilités

• Design, build, and scale backend services and APIs in Python using FastAPI, Django, and Flask.
• Build and ship agentic AI systems, including multi-step agents, tool calling, MCP integrations, and orchestration with LangChain/LangGraph, LlamaIndex, CrewAI, or the Claude Agent SDK.
• Develop RAG pipelines covering document ingestion, chunking, embeddings, vector databases, retrieval tuning, and evaluation.
• Integrate and optimize LLMs (OpenAI, Anthropic Claude, Gemini, open-source models) for accuracy, latency, and cost.
• Build data pipelines, analytics, and ML workflows using Pandas, NumPy, scikit-learn, and PyTorch or TensorFlow.
• Set up LLM evaluation, guardrails, monitoring, and observability (LangSmith, Langfuse, or similar) for production AI systems.
• Deploy and operate services on AWS, GCP, or Azure with Docker, Kubernetes, and CI/CD pipelines.
• Lead technical design, break down work, mentor engineers, and set code-quality and AI-engineering standards.
• Present AI solutions, demos, and technical roadmaps to clients, stakeholders, and leadership.
• Take part in on-call rotations and production incident response.

Connaissances

Python

FastAPI

Django/Flask

LLM integration

RAG pipelines

Vector databases

SQL PostgreSQL

NoSQL Redis

Docker Kubernetes

CI/CD

Security OAuth JWT

Leadership

Testing pytest

Typed Python

API design

Outils

LangChain/LangGraph

LlamaIndex

Weaviate

Description du poste

Devsinc is seeking a Senior AI Engineer to design, build, and scale Python backend services and agentic AI systems. You will develop RAG pipelines, integrate LLMs, and run production AI systems with monitoring and evaluation.

You will lead technical design, mentor engineers, and present AI solutions to clients and stakeholders, while taking part in on-call rotations and shaping AI engineering standards across projects.