Senior Software Engineer - Python

Devsinc, LLC; Lahore; On-site; PKR 1,800,000 - 3,600,000; Full time

Job summary

Devsinc, LLC is seeking an experienced backend AI engineer in Lahore to design, build, and scale AI-powered services using Python frameworks. You will develop multi-agent systems, RAG pipelines, and efficient LLM integrations while driving best practices and production readiness.

You will work across data pipelines, ML workflows, and observability, collaborating with clients and leadership to deliver robust AI solutions.

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
• Excellent communication skills, with the ability to explain complex AI concepts simply, run client demos, and confidently represent and sell our technical approach
• Proven ability to lead projects and guide team members from proof of concept to production
• Curiosity and the ability to evaluate and adopt new AI tools and models quickly

Responsibilities

• Design, build, and scale backend services and APIs using Python with FastAPI, Django, and Flask
• Build and ship agentic AI systems: multi-step agents, tool calling, MCP integrations, and orchestration with LangChain/LangGraph, LlamaIndex, CrewAI, or Claude Agent SDK
• Develop RAG pipelines, including document ingestion, chunking, embeddings, vector databases, retrieval tuning, and evaluation
• Integrate and optimize LLMs (OpenAI, Claude, Gemini, open-source models) for accuracy, latency, and cost
• Build data pipelines, analytics, and ML workflows using Pandas, NumX, 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

Skills

Python

REST API design

Async programming

Team collaboration

AI concepts

Tools

FastAPI

Django

Flask

LangChain

LangGraph

LlamaIndex

CrewAI

Claude Agent SDK

Docker

Kubernetes

CI/CD

Job description

Responsibilities

• Design, build, and scale backend services and APIs using Python with FastAPI, Django, and Flask
• Build and ship agentic AI systems: multi-step agents, tool calling, MCP integrations, and orchestration with frameworks like LangChain/LangGraph, LlamaIndex, CrewAI, or the Claude Agent SDK
• Develop RAG pipelines, including 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, NumX, 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

Requirements

• 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
• Excellent communication skills, with the ability to explain complex AI concepts simply, run client demos, and confidently represent and sell our technical approach
• Proven ability to lead projects and guide team members from proof of concept to production
• Curiosity and the ability to evaluate and adopt new AI tools and models quickly

Nice to have

• Experience with fine-tuning, prompt optimization, or model distillation
• MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, Bedrock)
• Experience building MCP servers or multi-agent systems
• Big data or streaming tools (Spark, Airflow, Kafka, dbt)
• Familiarity with Node.js or TypeScript for full-stack collaboration
• Published projects, research, Kaggle work, or open-source contributions in AI/ML
• AWS, GCP, or Azure AI or ML certifications