# Senior Software Engineer - Python

> Devsinc · Lahore, Pakistan · Full-time · Posted 2026-10-28

**Workplace:** on_site

**Department:** Junaid Rehmat Squad

## Description

-   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, 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

## 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

## Apply

[Apply at Devsinc](https://apply.workable.com/devsinc-17/j/9861D3F25E/apply)

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