Large Language Model Developer/Architect

Job Title:

Locations: PAN India

Work Type: Hybrid

Experience: 6-12 Years

Notice Period: 90 days

About the Client:

ARAs Client is a global professional services and technology organization helping enterprises modernize their technology landscape, accelerate digital transformation, and create measurable business value.

The organization combines expertise across technology, cloud, data, artificial intelligence, engineering, and industry-specific solutions to deliver enterprise-scale transformation programs.

Role Summary:

Design and develop production-ready AI/ML solutions using LLMs, Generative AI, NLP, deep learning, and cloud AI services. Act as a technical SME, collaborate across teams, and drive scalable AI solutions from design through deployment.

Key Responsibilities:

• Design, develop, and deploy scalable, production-ready AI/ML and GenAI solutions.
• Build and integrate LLM-based applications, NLP solutions, and cloud AI services.
• Collaborate with cross-functional teams to define solutions and drive key technical decisions.
• Troubleshoot complex AI/ML challenges and provide effective solutions across teams.
• Provide technical guidance, mentoring, and knowledge sharing to team members.
• Monitor solution performance, quality, and project progress to ensure successful delivery.

Must-Have Qualifications:

• 8+ years of overall professional experience, with substantial hands-on AI/ML engineering experience.
• Strong hands-on experience with Large Language Models (LLMs) and GenAI.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with NLP and cloud platforms such as AWS, Azure, or GCP.
• Experience building scalable, production-ready AI solutions.
• Strong technical leadership and problem-solving skills.

Nice to Have:

• Experience with RAG, embeddings, and vector databases.
• Knowledge of LLM fine-tuning, AI agents, or LLMOps/MLOps.
• Experience with Docker, Kubernetes, and CI/CD.
• Exposure to multimodal AI, computer vision, or image processing.

Behavioral Competencies:

• Strong problem-solving and analytical skills.
• Effective communication and collaboration.
• Technical leadership and decision-making.
• Ownership and accountability.
• Mentoring and knowledge sharing.

Why Join Us

• Work on enterprise-scale AI and Generative AI initiatives.
• Solve complex business problems using emerging LLM and cloud AI technologies.
• Work alongside multidisciplinary engineering and technology teams.
• Influence AI solution architecture and production engineering practices.
• Build expertise across LLMs, GenAI, cloud, NLP, deep learning, and AI engineering.
• Contribute to a culture of continuous learning, innovation, collaboration, and knowledge sharing.