Senior Python Engineer

Firehorse; Lahore; Hybrid; PKR 33,315,000 - 49,972,000; Full time

Benefits offered by this job

USD remittance

Fuel allowance

Lunch provided

Hybrid schedule

Double pay weekends

Job summary

Firehorse, a US-based company, seeks a Senior Python Engineer with deep AI expertise spanning traditional ML and GenAI/LLMs. You will design robust Python services and data pipelines, implement AI-powered features, and build RAG systems while maintaining high test coverage.

You will collaborate with clients and stakeholders, ship fast, and ensure scalable, reliable performance across platforms. Hybrid work is offered, with a strong emphasis on clean, well-tested code.

Qualifications

• 5+ years of professional Python development experience.
• Strong fundamentals in data structures and algorithms.
• Solid AI and LLM skills across traditional ML and GenAI.
• Hands-on experience with RAG pipelines, vector databases, and evaluation.
• Experience writing end-to-end and integration tests.

Responsibilities

• Design, build, and maintain Python services, APIs, and data pipelines.
• Develop AI-powered features using ML and GenAI systems.
• Build and evaluate LLM pipelines — prompt engineering, RAG, fine-tuning, evaluation.
• Write end-to-end tests and maintain high automated test coverage.
• Collaborate with clients and stakeholders to shape technical solutions.

Skills

Python

AI/LLM

REST APIs

Testing

Code reviews

Tools

PyTorch

scikit-learn

OpenAI API

Anthropic API

Vector DB

Job description

Firehorse, a US-based company, is hiring a Senior Python Engineer with strong programming fundamentals and deep AI expertise spanning both traditional machine learning and generative AI / LLMs. We are looking for someone who moves fast, writes clean and well-tested code, and has a genuine understanding of how models work under the hood.

Responsibilities

• Design, build, and maintain robust Python services, APIs, and data pipelines.
• Develop AI-powered features using both traditional ML models and LLM / GenAI systems.
• Build and evaluate LLM pipelines — prompt engineering, RAG, fine-tuning, and model evaluation.
• Write end-to-end test cases and maintain high automated test coverage.
• Prototype and iterate quickly — ship at a high pace without sacrificing quality.
• Optimize applications for performance, reliability, and scalability.
• Participate in code reviews and uphold engineering best practices.
• Collaborate directly with clients and stakeholders to shape technical solutions.

Technical Requirements

• 5+ years of professional Python development experience.
• Strong programming and computer science fundamentals — data structures, algorithms, and clean code.
• Strong AI and LLM skills across both traditional ML (e.g., scikit-learn, PyTorch) and GenAI (e.g., Anthropic / OpenAI APIs, agent and RAG frameworks).
• Solid understanding of how models actually work — architectures, training, inference, and evaluation. This is a must.
• Hands-on experience building RAG systems — retrieval pipelines, vector databases, and evaluation. This is a must.
• Experience writing end-to-end and integration tests (e.g., pytest).
• Experience building and consuming REST APIs; fluency with Git workflows.
• High velocity: able to learn fast, deliver fast, and own outcomes independently.

Nice to Have

• Open-source model deployment experience (e.g., Hugging Face, vLLM, Ollama, GPU inference).
• Cloud experience (AWS) and containerization (Docker / Kubernetes).

Perks & Benefits

• Compensation through USD remittance.
• Fuel allowance and company-sponsored lunch.
• Double daily salary for approved weekend or public-holiday work.
• Hybrid schedule — 3 days in office, 2 days remote.
• No micromanagement; direct interaction with stakeholders.