Lead Backend Engineer

This role is for one of Weekday's clients
Salary range: Rs 2600000 - Rs 3400000 (ie INR 26-34 LPA)
Min Experience: 12 years
Location: Bangalore
JobType: full-time

Requirements

As a Technical Lead in our Team, you'll work closely with the Automation Delivery Director, Tech Area Architect and the Divisional squads set to design, build and deliver world class Automation and AI solutions within Automation Centre. You will be responsible for creating Solution Designs, hands-on development and end to end delivery of AI initiatives by partnering with Operations, Technology and Vendor partners.

What will your day look like?

As a Technical Lead, you will:

1. Work closely with the Process Discovery Managers and the Tech Area Architect in performing feasibility assessments and arrive at target AI solutions for an end-to-end business process.
2. Work with cross-functional squads, technology and vendor partners in identifying and implementing automation solutions.
3. Prepare both High level and Low-level solution designs in accordance with the ANZ Delivery Framework, project sizing and mobilize resourcing and people.
4. Guide and train team members on best practices, conduct code reviews, engineering guardrails, troubleshoot and resolve technical complexities and issues during the development and implementation journey.
5. As part of governance, establish and run engineering guilds to ensure design and development is in accordance with the technology standards.
6. As a lead, you will have engineers reporting into you and ensures regular check-ins, career and growth plans documented and builds high performing teams.
   

Must Have:

1. Bachelor's degree or master's in computer science or data science engineering with an experience of > 12 years in the Design and Development of AI/ML Solutions.
2. Hands-on experience in Deep Learning concepts and development including Generative AI, Prompt Engineering, Machine Learning algorithms, RAG, LLMs,
3. Evaluation techniques and AI offerings on Cloud (GCP, Azure, AWS)
4. Hands-on programming skills in languages such as Python and Java, API
5. Development and Integration, DevOps, Monitoring and Observability, Deployment experience on serverless architecture and on cloud platforms, version control.
6. Proven experience as a Technical Lead or have played a similar role in large Automation and AI projects.
   
   Good to have:
   
7. Database Management: Knowledge of database management systems (DBMS) like SQL, NoSQL, and their integration with automation tools.
8. User Interface (UI) Design: Skills in designing intuitive and user-friendly interfaces for automation solutions to improve user experience.