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Software Engineer II - AI & Data Engineering

DevsincLahore, Punjab, PakistanNew
On-site Full-time

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Experience Level

Experience

Qualifications

Bachelor’s degree in Computer Science, Software Engineering, AI, Data Science, or a related field. At least 2.5 years of hands-on experience in AI/ML Engineering, Data Engineering, or Backend Systems. Proficient in Python and SQL, with substantial experience in production-grade AI/data systems, relational/non-relational databases, and AI/ML libraries such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, Pandas, and NumPy. Experience with data engineering frameworks like Apache Spark, Airflow, dbt, or Databricks. Solid understanding of data architecture and system design principles.

About the job

Join the innovative team at Devsinc as a Software Engineer II – AI & Data Engineering. We are seeking a talented individual with over 2.5 years of professional experience in developing and deploying robust AI/ML systems, applications powered by LLMs, and scalable data engineering solutions.

This position demands a strong foundation in AI/ML Engineering, MLOps, Backend Engineering, and Data Engineering. You will take ownership of the project lifecycle, from the design of LLM applications, RAG pipelines, embeddings, and inference systems to the construction of ETL/ELT pipelines, cloud-native infrastructures, and architectures for real-time data processing.

Key Responsibilities:

  • Craft, develop, enhance, and deploy AI/ML models, including LLM-powered applications, RAG pipelines, embeddings, vector search architectures, and inference systems tailored for real-world applications.
  • Develop and refine high-performance Python APIs, microservices, and backend services for AI workloads, collaborating with Engineering teams, Project Managers, and business stakeholders to deliver scalable, production-ready AI solutions.
  • Establish and manage MLOps workflows and cloud-native infrastructures across AWS, Azure, and GCP, covering experiment tracking, model versioning, deployment automation, monitoring, and model optimization techniques like hyperparameter tuning and quantization.
  • Design, develop, and sustain scalable ETL/ELT pipelines for both structured and unstructured datasets.
  • Create and enhance data transformation, cleansing, validation, and quality frameworks, utilizing distributed and streaming technologies such as Kafka, Spark, Kinesis, and Pub/Sub for real-time data processing.
  • Guarantee reliability, scalability, security, and cost-efficiency across AI and data infrastructures, while documenting architectural decisions, technical workflows, and engineering standards.

About Devsinc

Devsinc is a forward-thinking technology company dedicated to pushing the boundaries of innovation in AI and data engineering. Our diverse team is passionate about developing cutting-edge solutions that empower businesses to harness the full potential of their data.

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