Quest Global Hiring: AI Engineer (3+ Years) – Bengaluru | Apply Now Is Hiring Quest Global Hiring: AI Engineer (3+ Years) – Bengaluru | Apply Now in Not Specified – Apply Now

Quest Global is a leading global engineering services company with over 25 years of industry experience. With a presence in more than 18 countries and a workforce of over 21,000 professionals, the company specializes in delivering innovative solutions across multiple industries including energy, aerospace, automotive, and digital engineering. Quest Global is known for solving complex engineering challenges by combining advanced technologies with deep domain expertise.

The organization promotes a culture of diversity, inclusion, and innovation, ensuring that employees are empowered to share ideas and contribute to impactful solutions. Their collaborative work environment encourages continuous learning, making it an excellent workplace for professionals looking to grow in emerging technologies like artificial intelligence and machine learning.

As an AI Engineer at Quest Global, you will be responsible for building and deploying advanced AI systems that solve real-world business challenges. Your day-to-day responsibilities will include:

• Designing and implementing AI solutions aligned with business and product goals
• Developing production-ready applications using LLMs such as GPT-4, Claude, and Gemini
• Building and optimizing Retrieval-Augmented Generation (RAG) systems for intelligent data retrieval
• Creating multi-agent AI systems using frameworks like LangGraph or AutoGen
• Optimizing model inference performance and managing API costs through efficient strategies
• Developing evaluation frameworks to measure AI model performance, accuracy, and bias
• Integrating multimodal AI capabilities involving text, image, and audio data
• Implementing AI safety measures and guardrails to ensure responsible deployment
• Collaborating with cross-functional teams including data scientists, engineers, and product managers

To succeed in this role, candidates should possess strong technical expertise and practical experience in AI/ML systems:

• Strong Python programming skills with at least 3 years of development experience
• Hands-on experience working with LLM APIs such as OpenAI, Anthropic, or Google AI
• Deep understanding of transformer architectures and attention mechanisms
• Experience with vector databases like Pinecone, Weaviate, or Qdrant
• Proficiency in machine learning frameworks such as PyTorch or TensorFlow
• Familiarity with Hugging Face ecosystem for model development and deployment
• Strong knowledge of prompt engineering and in-context learning techniques
• Experience with MLOps practices including model deployment, monitoring, and versioning
• Knowledge of cloud platforms like AWS, GCP, or Azure along with Docker and Kubernetes

While not mandatory, the following skills will give candidates an added advantage:

• Experience with fine-tuning techniques such as LoRA and QLoRA
• Knowledge of AI ethics, bias detection, and fairness in AI systems
• Experience in building multimodal AI applications
• Strong communication and analytical problem-solving skills
• Ability to work in fast-paced and ambiguous environments

Quest Global provides a comprehensive benefits package designed to support employee well-being and career growth:

• Competitive salary with performance-based incentives
• Group medical insurance coverage
• Group term life and accident insurance
• Learning and development programs for continuous upskilling
• Flexible and collaborative work environment
• Career advancement opportunities within global teams
• Wellness programs for mental and physical health
• Employee engagement and recognition initiatives
• Childcare reimbursement and family support benefits

Quest Global stands out as an employer due to its commitment to innovation, employee growth, and inclusive culture. Employees get the opportunity to work on challenging engineering problems and cutting-edge technologies, including artificial intelligence, digital engineering, and automation systems.

For AI professionals, this role offers exposure to real-world applications of large language models, advanced machine learning pipelines, and scalable AI systems. The company fosters a culture where creativity, collaboration, and continuous improvement are highly valued.

Candidates with 3+ years of experience will benefit from structured career progression, mentorship from industry experts, and opportunities to work on global projects. If you are passionate about AI and want to contribute to impactful technological solutions, Quest Global provides the right platform to accelerate your career.

Before applying, ensure you meet the following requirements:

• Education: BE / B.Tech / B.Sc / BCA / MCA / MBA in relevant fields
• Experience: Minimum 3+ years in AI/ML or software development
• Academic Performance: Minimum 60% throughout academics
• No active backlogs at the time of application
• Strong communication and interpersonal skills

The hiring process at Quest Global is designed to evaluate both technical and problem-solving abilities:

1. Online Test – Assessment of technical knowledge and coding skills
2. Technical Interview – In-depth evaluation of AI/ML expertise and project experience
3. HR Interview – Discussion on communication skills, cultural fit, and career goals

Candidates who successfully clear all rounds will receive an offer from the company

• Application Deadline: Apply ASAP (positions may close once filled)

This job is ideal for candidates looking for:

• High-paying AI Engineer jobs with 3+ years experience
• Opportunities to work on LLMs and advanced machine learning systems
• IT jobs in Bengaluru with strong career growth potential
• Exposure to cutting-edge AI technologies and real-world applications
• Roles in globally recognized engineering companies

Interested candidates can apply using below Apply now button the official Quest Global careers portal. Ensure your resume highlights relevant AI/ML experience, projects, and technical skills to improve your chances of selection.