Senior AI Developer at ACENET in Abu Dhabi

About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy & architecture, digital transformation, data engineering & analytics, AI/ML, cloud & infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet’s marquee clients include Tier-1 and Tier-2 banking & financial services, asset & wealth management, healthcare, consumer retail, eCommerce & logistics, engineering, government & public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon & Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.

Job Description

Job Summary:
We are seeking a skilled and motivated Senior AI Developer with a minimum of 4 years of experience in designing, developing, and deploying AI/ML solutions, including hands-on work with Copilot-based solutions and Agentic AI systems. The ideal candidate will work closely with cross-functional teams to build intelligent, autonomous systems that drive business value, improve automation, and enable data-driven decision-making.

Key Responsibilities:

• Design, develop, test, and deploy AI/ML models and solutions for real-world applications.
• Build and customize Copilot solutions (e.g., Microsoft Copilot / Copilot Studio, GitHub Copilot extensions) to automate workflows and enhance user productivity.
• Design and implement Agentic AI systems, including multi-agent workflows, tool/function calling, planning, memory, and orchestration using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.
• Develop LLM-based solutions, including prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning where required.
• Work with structured and unstructured data to build predictive, classification, and recommendation models.
• Implement and optimize machine learning algorithms, deep learning models, and NLP solutions.
• Collaborate with data engineers to build scalable data pipelines and ensure data quality.
• Integrate AI models and agents into production systems and applications using APIs and microservices.
• Perform data analysis, feature engineering, and model evaluation, including evaluation of LLM and agent performance.
• Ensure AI solutions follow best practices for security, scalability, performance, and responsible AI.
• Mentor junior team members and contribute to technical design reviews.
• Stay updated with the latest AI/ML, GenAI, and Agentic AI trends, tools, and research.

Role Requirements and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Minimum of 4 years of hands-on experience in AI/ML development.
• Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
• Proven experience with Copilot solutions (Microsoft Copilot Studio, Azure OpenAI, GitHub Copilot, or similar).
• Hands-on experience building Agentic AI applications using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel.
• Experience with LLMs, prompt engineering, and RAG pipelines (vector databases such as FAISS, Pinecone, Azure AI Search, or similar).
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Knowledge of NLP, computer vision, or deep learning (any one or more).
• Experience working with databases (SQL/NoSQL) and data processing tools.
• Understanding of REST APIs, microservices, and model deployment techniques.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Strong problem-solving and analytical skills.

Preferred Qualifications:

• Experience with Azure AI Foundry, Azure OpenAI Service, or AWS Bedrock.
• Knowledge of MCP (Model Context Protocol) and agent-to-agent communication.
• Experience with MLOps/LLMOps, CI/CD, Docker, and Kubernetes.
• Exposure to guardrails, observability, and evaluation frameworks for LLM applications.
• Relevant AI/cloud certifications (e.g., Azure AI Engineer, AWS ML Specialty).

Why Join Us:

• Opportunities to work on transformative AI and Generative AI projects with leading global organizations.
• Continuous investment in learning, upskilling, and professional development.
• Collaborative work environment with experienced technology professionals.
• Competitive compensation and comprehensive employee benefits.
• A culture that encourages innovation, ownership, and career growth.

Pay: From AED1.00 per day

Work Location: In person