Software Engineer I - AI/ML & Backend Engineering

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

Benefits offered by this job

Mentorship & career progression

Global project exposure

Modern hardware & collaborativeCulture

Job summary

Devsinc in Pakistan is seeking a hands-on AI/ML software engineer to design, build, and deploy production-grade GenAI applications for international clients across diverse domains. You will bridge ML models with enterprise backend architectures and implement RAG pipelines, vector stores, and scalable RESTful APIs.

Responsibilities span LangChain/LangGraph/LlamaIndex workflows, traditional ML with PyTorch/TF, and cloud deployment with Docker and CI/CD.

Qualifications

• Bachelor’s degree in CS/SE/AI/DS or related field.
• Minimum 1.5+ years of software engineering experience focused on AI/ML.
• Strong Python, OOP, DS&A, and problem-solving.
• Hands-on experience with LangChain, LangGraph, LlamaIndex for RAG/agents.
• Experience with Scikit-learn, PyTorch, or TensorFlow.
• Backend API development with FastAPI/Flask/Django.
• NLP, embeddings, and vector stores (Pinecone, FAISS, ChromaDB, Weaviate).
• Git, Docker, CI/CD, and cloud (AWS/Azure/GCP).
• Excellent English communication.

Responsibilities

• AI/ML & Generative AI Development: build GenAI apps via LLM integrations.
• RAG & Vector Search: design RAG pipelines with vector DBs.
• Agentic AI Workflows: build multi-agent systems using LangChain/LangGraph/LlamaIndex.
• Classical ML & Deep Learning: train/test/finetune models with Scikit-learn, PyTorch, or TensorFlow.
• Python Backend & Systems Engineering: develop scalable Python backends and RESTful APIs with FastAPI/Flask/Django.
• Data Engineering: data collection, preprocessing, embeddings generation, model evaluation.
• DevOps & Cloud: Docker, CI/CD, deploy to AWS/Azure/GCP.
• Communicate technical solutions clearly in English to global stakeholders.

Skills

Python

OOP

DSA

NLP

English communication

Education

Bachelor’s degree in CS/SE/AI/DS or related field

Tools

FastAPI

Flask

Django

Git

Docker

CI/CD

PostgreSQL

MongoDB

Pinecone

FAISS

ChromaDB

Weaviate

AWS

Azure

GCP

LangChain

LlamaIndex

Job description

In this role, you will design, build, and deploy production-grade AI applications for international clients across diverse business domains. Working in a fast-paced, client-focused services environment, you will bridge the gap between cutting-edge Machine Learning/Generative AI models and enterprise backend software architectures. You will develop Retrieval-Augmented Generation (RAG) pipelines, construct autonomous Agentic AI workflows (LangChain, LangGraph, LlamaIndex), build scalable RESTful APIs (FastAPI, Flask, Django), and integrate vector databases for real-world semantic search systems.

Key Responsibilities

AI/ML & Generative AI Development

• Generative AI & LLM Integrations: Build and integrate GenAI applications using leading Large Language Models (OpenAI, Anthropic, Gemini, and open-source models) via prompt engineering and API orchestrations.
• RAG & Vector Search: Design and maintain Retrieval-Augmented Generation (RAG) pipelines paired with vector databases (Pinecone, FAISS, ChromaDB, Weaviate) for semantic retrieval.
• Agentic AI Workflows: Build multi-agent systems and intelligent workflows leveraging frameworks such as LangChain, LangGraph, or LlamaIndex.
• Classical ML & Deep Learning: Implement and fine-tune traditional machine learning and deep learning architectures using Scikit-learn, TensorFlow, or PyTorch.

Python Backend & Systems Engineering

• API & Microservice Development: Develop scalable, low-latency Python backend services and RESTful APIs utilizing FastAPI, Flask, or Django.
• Data Engineering: Perform data collection, preprocessing, feature extraction, embedding generation, and model evaluation routines.
• Database Architecture: Interact with relational and non-relational database layers, including PostgreSQL, MySQL, and MongoDB.
• DevOps & Cloud Integration: Package microservices using Docker, collaborate via Git/CI/CD pipelines, and support deployment onto cloud platforms (AWS, Azure, GCP).
• Engineering Excellence: Write clean, modular, reusable, and well-documented Python code following object-oriented design and algorithm optimization.
• Client & Cross-Functional Collaboration: Participate in code reviews, technical discovery, and agile sprints while communicating technical solutions clearly in English to global stakeholders.

Requirements

Education, Technical Skills & Domain Depth

• Education: Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
• Experience Track: Minimum 1.5+ years of professional post-graduation software engineering experience focused on AI/ML development.
• Core Python Mastery: Strong proficiency in Python, Object-Oriented Programming (OOP), Data Structures & Algorithms (DSA), and logical problem-solving.
• Generative AI & Agentic Stack: Hands-on experience constructing RAG architectures and multi-step AI agents (LangChain, LangGraph, LlamaIndex).
• ML & Deep Learning Frameworks: Practical experience training, testing, or fine-tuning models with Scikit-learn, PyTorch, or TensorFlow.
• Backend Frameworks: Hands-on experience developing production APIs using FastAPI, Flask, or Django.
• NLP & Vector Stores: Understanding of NLP fundamentals, transformers, embedding spaces, and vector database engines (Pinecone, FAISS, ChromaDB, Weaviate).
• Tooling & Cloud: Working familiarity with Git version control, Docker containerization, CI/CD routines, and public cloud environments (AWS, Azure, GCP).
• Communication: Excellent verbal and written English communication skills to articulate complex engineering choices to international clients and internal engineering pods.

Total Rewards & Benefits

• Market-Competitive Salary: Salary aligned with industry standards for junior-to-mid level AI/ML software engineers in Pakistan.
• Global Project Exposure: Direct experience building production software for enterprise clients across North America, Europe, and the Middle East.
• Mentorship & Career Progression: Structured internal training, tech talks, and clear advancement paths within Devsinc's engineering tiers.
• Collaborative Culture: Vibrant, fast-paced work environment equipped with modern hardware setups, team outings, and professional growth opportunities.