Agentic AI Solutions Engineer

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• Job details
  

• Date Opened 08/10/2025
• Job Type Full time
• Industry Technology
• City Pune
• State/Province Maharashtra
• Country India
• Zip/Postal Code 411001
  

AI Engineer

strong software engineering background

NextGen AI-driven solutions

Generative AI

Agentic AI

Requirements

Key Responsibilities

• Lead and contribute to the development of high-quality AI and software solutions using modern programming languages and frameworks.
• Participate in system architecture and technical design decisions to ensure scalability, security, and alignment with client requirements.
• Engage with clients to understand technical needs and business goals, providing expert guidance on AI adoption and best practices.
• Mentor junior engineers, conduct code reviews, troubleshoot complex issues, and promote technical excellence within the team.
• Collaborate with project managers, business analysts, and other engineers to meet technical milestones and deliver successful projects.
• Ensure code quality and reliability through testing, optimization, and proactive issue identification.
• Stay current with AI research, frameworks, and industry trends to bring innovative solutions into client engagements.
  

Basic Requirements

• Strong software engineering background with expertise in JavaScript (Node.js/React), Python, or C#/.NET.
• Hands-on experience with Generative AI and LLMs (e.g., OpenAI, Anthropic, Google Gemini, Meta LLaMA).
• Familiarity with Agentic AI frameworks and multi-agent orchestration patterns.
• Experience building cloud-native AI solutions (Azure, AWS, or GCP) and integrating AI services into enterprise environments.
• Proficiency in data pipelines, API integration, vector databases, and AI orchestration tools.
• Solid understanding of system design, security, and scalability principles.
• Strong client-facing skills with the ability to simplify complex technical concepts for business stakeholders.
• Prior consulting or professional services experience is highly preferred.
  

Preferred Qualifications

• Experience integrating AI into enterprise business workflows.
• Familiarity with MLOps practices and AI model lifecycle management.
• Contributions to open-source AI frameworks or tools.
• Certifications in Cloud Platforms (Azure, AWS, GCP) or AI/ML specialties.