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Posted 5 days ago

Software Engineer - I- AI/MLDevsinc · Lahore

Software Engineer - I- AI/ML

LahoreOn-site

AI Summary

Designs, builds and integrates AI/ML applications in Python, including LLM-based Generative AI, RAG pipelines and agentic workflows, and develops backend APIs and deploys models for client-facing projects.

About this role

Devsinc is looking for a skilled and motivated Software Engineer I – AI/ML with a minimum of 1.5 years of professional experience in Artificial Intelligence, Machine Learning, and Python development, preferably post-graduation.

The ideal candidate should have strong expertise in Python, Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), RAG pipelines, and Agentic AI, along with strong technical and problem-solving skills.

We are looking for someone with excellent English communication abilities, hands-on experience developing AI-powered applications, and the ability to collaborate with cross-functional teams in a fast-paced, client-focused, services-based environment.

Requirements

  • Responsibilities
    • Design, develop, test, and maintain AI/ML applications and intelligent solutions using Python.
    • Develop and integrate Generative AI applications using Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG).
    • Build and implement Agentic AI workflows using LangChain, LangGraph, LlamaIndex, or similar frameworks.
    • Develop scalable Python backend services and RESTful APIs using FastAPI, Flask, or Django.
    • Implement Machine Learning and Deep Learning models using Scikit-learn, TensorFlow, or PyTorch.
    • Integrate LLM APIs such as OpenAI, Anthropic, Gemini, and open-source models into real-world applications.
    • Work with vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate for semantic search and retrieval.
    • Perform data preprocessing, feature engineering, model evaluation, optimization, and fine-tuning.
    • Collaborate with engineering teams to integrate AI/ML models into scalable applications and existing systems.
    • Support AI/ML model deployment, monitoring, debugging, and performance optimization.
    • Participate in technical discussions, code reviews, and problem-solving activities while following software development best practices.
    • Write clean, efficient, reusable, and well-documented code.
  • Requirements
    • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
    • Minimum 1.5 years of professional experience in AI/ML development, preferably post-graduation.
    • Strong proficiency in Python programming, Object-Oriented Programming (OOP), Data Structures, Algorithms (DSA), and logical problem-solving.
    • Hands-on experience with Machine Learning and Deep Learning using Scikit-learn, TensorFlow, or PyTorch.
    • Practical experience developing Generative AI applications, LLM integrations, RAG pipelines, and prompt engineering solutions.
    • Working knowledge of Agentic AI frameworks, including LangChain, LangGraph, LlamaIndex, or similar tools.
    • Experience developing RESTful APIs and backend applications using FastAPI, Flask, or Django.
    • Understanding of Natural Language Processing (NLP), transformers, embeddings, and vector databases.
    • Familiarity with SQL/NoSQL databases, including PostgreSQL, MySQL, or MongoDB.
    • Working knowledge of Git, Docker, CI/CD pipelines, and software engineering best practices.
    • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
    • Strong analytical thinking, debugging, coding, and real-world problem-solving abilities.
    • Excellent English communication and interpersonal skills, with the ability to clearly explain technical concepts and collaborate effectively.
    • Ability to work in a fast-paced, services-based environment, collaborate with international teams, and adapt to changing project requirements.

Skills

AWSAzureChromaDBCI/CDDeep LearningDjangoDockerFAISSFastAPIFlaskGCPGenerative AIGitLangChainLangGraphLarge Language ModelsLlamaIndexMachine LearningPineconePythonPyTorchRAGSciKit-LearnTensorFlowWeaviate

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