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Urgent! Machine Learning Engineer – Generative AI Job Opening In أبوظبي – Now Hiring Stellar Technologies

Machine Learning Engineer – Generative AI



Job description

Role Summary
Stellar Technologies is seeking a
Machine Learning Engineer (GenAI)
to design, build, and deploy next-generation AI systems combining
Large Language Models (LLMs)
,
Retrieval-Augmented Generation (RAG)
, and
agentic AI frameworks
.

In this role, you will bridge model development and production engineering — developing scalable AI pipelines, integrating real-time APIs, and ensuring high-performance AI services that power enterprise-grade solutions.

You will work at the intersection of machine learning, cloud infrastructure, and applied research, collaborating with top engineers and data scientists to deliver intelligent, production-ready AI capabilities.

Key Responsibilities

  • Develop and optimize AI systems leveraging LLMs, RAG, and agentic AI frameworks (LangChain, LangGraph).

  • Build and deploy production-grade ML pipelines with real-time inference and retrieval components.

  • Design and manage APIs and streaming services to integrate AI models into enterprise platforms.

  • Implement containerized, orchestrated deployments using Docker, Kubernetes, and Azure ML.

  • Automate data preprocessing, model training, evaluation, and versioning pipelines.

  • Collaborate with cross-functional teams to integrate models into front-end, analytics, and automation workflows.

  • Ensure governance, compliance, and security of deployed AI workloads.

  • Conduct performance benchmarking and optimize inference latency and cost.

  • Monitor AI systems in production using observability frameworks (logging, metrics, tracing).

  • Participate in architecture discussions to enhance scalability and reliability of AI services.

Required Skills & Experience

  • Strong hands-on experience with LLMs, RAG, and agentic frameworks (LangChain, LangGraph, Semantic Kernel, etc.).

  • Proficiency in Python, with deep understanding of ML libraries like PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers.

  • Solid experience in API and microservices engineering (FastAPI, Flask).

  • Familiarity with streaming architectures and real-time data handling.

  • Knowledge of cloud platforms (Azure preferred), including Azure AI, Cognitive Services, and ML Ops.

  • Experience with containerization and orchestration (Docker, Kubernetes).

  • Understanding of vector databases (Pinecone, Weaviate, FAISS) and retrieval mechanisms.

  • Experience in CI/CD, model deployment, and production monitoring.

Preferred Skills

  • Exposure to GPU-based inference optimization and serverless deployment.

  • Knowledge of observability and monitoring tools for AI (Prometheus, Grafana, Azure Monitor).

  • Experience in model fine-tuning, prompt engineering, or agentic orchestration.

  • Understanding of AI governance, ethical AI, and data privacy frameworks.

Soft Skills

  • Strong analytical and problem-solving mindset.

  • Excellent collaboration and communication skills.

  • Passion for innovation, experimentation, and applied AI.

Job Category:
Software Engineer

Job Type:
Full Time

Job Location:
Abu Dhabi


Required Skill Profession

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