Senior Software Engineer (AI/ML) at Devsinc | Lahore

We are looking for a Senior Software Engineer (AI/ML) who can design, build, and scale intelligent systems from machine learning pipelines to advanced AI agents capable of reasoning, planning, and automation.You will work on building production-grade AI models, integrating LLMs and tools, and designing agent architectures that interact with APIs, databases, and workflows. The role blends applied ML expertise with strong backend engineering and product-focused problem-solving.Responsibilities:Design and build autonomous or semi-autonomous AI agents that can plan, reason, and interact with tools, APIs, or external systemsImplement agentic frameworks (e.g., LangChain, LlamaIndex, CrewAI, or custom orchestration systems)leverage existing industry capabilities to deliver virtual assistant capabilities on top of xquic content including voice interactionsOptimize reasoning and retrieval pipelines using embeddings, vector databases, and prompt engineeringDevelop, train, and fine-tune ML models using frameworks like PyTorch, TensorFlow, or scikit-learnWork on data preprocessing, feature engineering, and model evaluation for NLP, computer vision, or predictive tasksBuild ML pipelines for training, deployment, and monitoring in production environmentsCollaborate with engineering teams to integrate AI components into backend systems and APIsEnsure scalable, maintainable codebases with CI/CD, observability, and cloud-native design (AWS/GCP/Azure)Contribute to technical architecture and design reviews for AI-driven features and platformsStay current with the latest in LLMs, agent frameworks, and model architecturesPrototype and evaluate new approaches for reasoning, tool use, and adaptive behavior in agentsShare learnings and mentor peers in ML and AI development best practicesRequirementsStrong programming skills in Python (mandatory); proficiency with PyTorch,TensorFlow, or transformers-based modelsExperience in building or integrating AI agents (LangChain, LlamaIndex, CrewAI, custom frameworks)Strong grasp of ML model lifecycle data processing, model training, evaluation, deployment, and monitoringExperience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes)Familiarity with API integrations, microservices, and asynchronous systemsStrong understanding of vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) and retrieval architecturesSolid software engineering fundamentals testing, version control, and system designExperience with LLM fine-tuning, prompt optimization, or RAG (Retrieval-Augmented Generation) systemsFamiliarity with multi-agent systems and coordination mechanismsKnowledge of MLOps tools (MLflow, Kubeflow, Sagemaker, Vertex AI)Experience in AI system observability, evaluation metrics, and continuous learning loopsExposure to reinforcement learning or self-improving agent architecturesBenefitsProvident Fund, Medical Inpatient Facility, Medical Outpatient Facility, Paid Overtime, In-house Subsidized Lunch Dinner, Gym Facility, Entertaining Activities, Interest Free Loan Facility, Advance Salaries and Sports Allowance.