Backend Gen AI Tech Lead
2 days ago
Job Summary:
We are seeking an experienced Backend Gen AI Tech Lead to lead the development of cutting-edge AI-powered backend systems. The successful candidate will be responsible for designing, implementing, and scaling AI-driven solutions, leading a team of engineers, and collaborating with cross-functional teams to drive business growth.
Key Responsibilities:
Technical Leadership: Lead a team of backend engineers, providing technical guidance, mentorship, and support.
AI Solution Design: Design and implement scalable AI-powered backend systems, leveraging Gen AI technologies.
System Architecture: Develop and maintain the architecture of AI-driven systems, ensuring high performance, scalability, and reliability.
Collaboration: Work closely with cross-functional teams, including data science, product, and engineering, to drive business growth.
Innovation: Stay up-to-date with the latest advancements in Gen AI and apply innovative solutions to business problems.
Requirements:
Technical Skills:
Proficiency in programming languages such as Python, Java
Experience with Gen Gen AI frameworks and tools
Langchain, Langgraph , RAGAS , Vector database
Knowledge of cloud platforms (e.g., AWS, GCP, Azure).
Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
Leadership Skills:
Proven experience in technical leadership and team management.
Excellent communication and collaboration skills.
Experience:
Minimum 5+ years of experience in backend development, with a focus on AI
Experience in leading teams and driving technical innovation.
Nice to Have:
Additional Skills:
Experience with data engineering and data science.
Knowledge of DevOps practices and tools.
Familiarity with agile methodologies.
Job Type: Contractual / Temporary
Contract length: 12 months
Pay: ₹150, ₹180,000.00 per month
Experience:
- Back-end development: 6 years (Preferred)
- Gen AI: 6 years (Required)
- AWS CloudFormation: 5 years (Preferred)
- Java: 5 years (Preferred)
- Python: 5 years (Preferred)
Shift availability:
- Night Shift (Required)
Work Location: In person
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