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Senior AI/ML Engineer (LLM, GenAI, and Agentic Systems)

1 hour, 55 minutes ago
Egypt, Pakistan
Contract
Senior
Machine Learning Engineer
Software Development
Apache Spark AWS Azure CI/CD Deep Learning Docker GCP Generative AI Hugging Face Kubernetes Machine Learning Microservices MLOps Python SQL
Apply Now

Astro Sirens / Astro Sirens Staffing and Consulting

An IT staffing and consulting firm offering IT consulting, IT staffing, project management, CloudOps solutions, and DevOps transformation. It describes itself as providing top-notch IT talent and consulting services and matching clients with candidates for software development, network engineering, project management, and more.

IT services, staffing, and consulting
View All Jobs 11

Description

  • Design, develop, and deploy AI/ML solutions using LLMs, NLP, and Generative AI.
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
  • Develop agentic AI systems that support multi-step reasoning, tool use, and orchestration frameworks.
  • Fine-tune, prompt-engineer, and evaluate large language models for production use cases.
  • Build scalable end-to-end ML/AI pipelines covering data ingestion, preprocessing, model training, and deployment.
  • Integrate AI solutions into applications through APIs and microservices.
  • Collaborate with data engineers, product managers, and business stakeholders to define AI-driven solutions.
  • Implement model monitoring, evaluation frameworks, and guardrails to address bias, hallucination, and safety concerns.
  • Optimize models and pipelines for performance, scalability, and cost-efficiency in cloud environments.
  • Mentor junior engineers and contribute to AI best practices, architecture decisions, and internal tooling.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Statistics, or a related field.
  • 5+ years of experience in machine learning, data science, or applied AI roles.
  • Strong proficiency in Python and ML/AI ecosystems.
  • Hands-on experience with LLMs and GenAI frameworks such as OpenAI APIs, Hugging Face, LangChain, or LlamaIndex.
  • Solid experience with NLP techniques and transformer-based models.
  • Experience building RAG pipelines and working with vector databases such as Pinecone, Weaviate, or FAISS.
  • Experience designing or working with agentic workflows, including tool calling, multi-agent systems, or reasoning chains.
  • Strong understanding of ML fundamentals, including supervised and unsupervised learning, deep learning, and evaluation metrics.
  • Experience deploying models into production environments through APIs or batch/real-time systems.
  • Familiarity with MLOps/LLMOps practices, including model versioning, CI/CD, monitoring, and prompt/version management.
  • Strong SQL skills and experience with relational databases.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Understanding of AI safety, ethics, and data privacy considerations.
  • Strong communication skills and ability to work with U.S.-based stakeholders.
  • Preferred: Experience with fine-tuning LLMs using LoRA, PEFT, or similar techniques.
  • Preferred: Familiarity with evaluation frameworks for LLMs, including human-in-the-loop and automated evaluations.
  • Preferred: Experience with Docker, Kubernetes, and scalable AI deployments.
  • Preferred: Background in multi-modal AI, including text, image, or audio models.
  • Preferred: Experience with big data tools such as Spark or distributed data processing.
  • Preferred: Exposure to cost optimization strategies for LLM-based systems.

Benefits

  • Paid Time Off (PTO).
  • Work from home arrangement.
  • Professional development opportunities.
  • Training and development programs.
  • Collaborative and inclusive company culture.
  • Competitive salary.
  • Performance-based bonuses.

Interested in this position?

Apply directly on the company website

Apply Now

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