Gen AI Engineer

Position Title: Gen AI Engineer

Required Experience : 5- 8 yrs

Job Location: Hyderabad / Indore (Hybrid)

Shift : 11.30 AM - 8.30 PM

Description:

• 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.