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Posted 11 June, 2026

Gen AI Engineer

Solugenix
Hyderabad, TG, IN Full Time
Reference: 00a8960e4c6e892e

Job Description

Position Title: Gen AI Engineer\nRequired Experience : 5- 8 yrs\nJob Location: Hyderabad / Indore (Hybrid)\nShift : 11.30 AM - 8.30 PM\n\nDescription:\n• Design, develop, and maintain scalable backend systems using Python.\n• Integrate Generative AI technologies into applications to solve real-world problems and enhance user experiences.\n• Collaborate with cross-functional teams including product managers, data scientists, and UX designers to deliver high-quality solutions.\n• Optimize performance, ensure security compliance, and debug production issues in large-scale distributed systems.\n• Keep up to date with emerging trends in Generative AI and backend development to propose and implement innovative ideas.\n• Mentor junior engineers and contribute to a culture of technical excellence within the team.\n\nMust Have & Desired Skills:\n• 5-8 years of professional software engineering experience.\n• Strong proficiency in Node.js and Python with a proven track record of delivering production-grade applications.\n• Expertise in Agentic AI, MCP, and agent orchestrations\n• Practical experience working with Generative AI frameworks and models (e.g., OpenAI GPT, Hugging Face, or similar).\n• Familiarity with cloud platforms like AWS, Azure, or GCP.\n• Strong knowledge of API development, microservices architecture, and RESTful principles.\n• Excellent problem-solving skills and ability to write clean, efficient, and well-documented code.\n• Strong communication and collaboration skills.\n• Strong understanding of TypeScript and its core principles.\n• Proficiency in designing and implementing RESTful APIs.\n• Knowledge of Node.js and its ecosystem.\n• Familiarity with databases, including Postgres.\n• Knowledge of server-side caching mechanisms.\n• 'Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).\n• Familiarity with CI/CD pipelines and DevOps practices.\n• Knowledge of databases (SQL and NoSQL) and data processing pipelines.\n• Prior involvement in Generative AI projects or applications in production.

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