AI Engineer
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About the Role
**Experience:** 5 to 8 years **Location:** Abu Dhabi, Bengaluru, Gurgaon, Pune **Job code:** 101532 **Posted on:** Jun 24, 2026 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 \& infrastruct
Key Skills for This Role
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Overview
**Experience:** 5 to 8 years
Location:** Abu Dhabi, Bengaluru, Gurgaon, Pune
**Job code:** 101532
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.
About The Role
We are looking for a highly motivated AI/ML Engineer with hands-on experience in designing and developing intelligent AI-driven solutions.
The ideal candidate should have strong expertise in Conversational AI, Prompt Engineering, Retrieval-Augmented Generation (RAG), and Python-based application development.
The role requires a curious mindset, strong analytical skills, and the ability to quickly learn and adapt to emerging AI technologies.
Key Responsibilities
- Design, develop, and deploy AI/ML solutions for enterprise applications.
- Build and optimize Conversational AI solutions using Large Language Models (LLMs).
- Create, test, and refine prompts to improve AI model performance and response quality.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines leveraging both structured and unstructured data sources.
- Develop and maintain RESTful APIs to integrate AI services with business applications.
- Perform web content extraction and data collection using screen-scraping/web-scraping techniques.
- Collaborate with cross-functional teams to understand business requirements and translate them into scalable AI solutions.
- Troubleshoot, optimize, and improve existing AI models and workflows.
- Stay updated with the latest advancements in AI/ML, Generative AI, and emerging technologies.
Required Skills & Qualifications
- 5–8 years of overall IT experience with at least 3–4 years of relevant experience in AI/ML development.
- Strong proficiency in Python programming.
- Hands-on experience with:
- Conversational AI platforms and frameworks
• Retrieval-Augmented Generation (RAG)
- Working with both structured and unstructured data sources
- Experience in building and consuming REST APIs.
- Experience with web page content extraction, web scraping, and screen-scraping techniques.
- Strong problem-solving, debugging, and analytical skills.
- Excellent communication and collaboration abilities.
- Self-driven individual with strong curiosity, eagerness to learn, and a focus on delivering high-quality outcomes.
Preferred Skills
- Understanding of Agentic AI concepts and AI orchestration frameworks.
- Exposure to multi-agent systems and workflow automation.
- Experience with vector databases, embeddings, and knowledge retrieval systems.
- with cloud platforms such as AWS, Azure, or Google Cloud.
Why Join Us
- Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
- Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
- Competitive compensation & benefits, ESOPs and international assignments.
- Supportive environment with healthy work-life balance and a focus on employee well-being.
- Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.
How To Apply
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.
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