Solugenix - Generative AI Engineer
Solugenix India Private Limited
Location
🇮🇳 India
Type
full_time
Salary
Undisclosed
Posted
0mo ago
Job Description
Position Title : Gen Ai EngineerRequired Experience : 5 - 8 yrsJob Location : Hyderabad / Indore (Hybrid)Shift : 11.30 AM - 8.30 PMDescription : - Design, develop, and maintain scalable backend systems using Python.- Integrate Generative AI technologies into applications to solve real-world problems and enhance user experiences.- Collaborate with cross-functional teams including product managers, data scientists, and UX designers to deliver high-quality solutions.- Optimize performance, ensure security compliance, and debug production issues in large-scale distributed systems.- Keep up to date with emerging trends in Generative AI and backend development to propose and implement innovative ideas.- Mentor junior engineers and contribute to a culture of technical excellence within the team.Must Have & Desired Skills : - 5 - 8 years of professional software engineering experience.- Strong proficiency in Node.js and Python with a proven track record of delivering production-grade applications.- Expertise in Agentic AI, MCP, and agent orchestrations- Practical experience working with Generative AI frameworks and models (e.g., OpenAI GPT, Hugging Face, or similar).- Familiarity with cloud platforms like AWS, Azure, or GCP.- Strong knowledge of API development, microservices architecture, and RESTful principles.- Excellent problem-solving skills and ability to write clean, efficient, and well-documented code.- Strong communication and collaboration skills.- Strong understanding of TypeScript and its core principles.- Proficiency in designing and implementing RESTful APIs.- Knowledge of Node.js and its ecosystem.- Familiarity with databases, including Postgres.- Knowledge of server-side caching mechanisms.- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).- Familiarity with CI/CD pipelines and DevOps practices.- Knowledge of databases (SQL and NoSQL) and data processing pipelines.- Prior involvement in Generative AI projects or applications in production. (ref: hirist.tech)