Technical Lead - GenAI (Perm, India, Remote)

As a Technical Lead at Nearform, your main duties will include leading a development team, managing project delivery, identifying and resolving potential blockers, and ensuring adherence to best practices in software development and agile methodologies. You’ll also work closely with clients to translate their technical requirements into impactful digital applications.

To succeed as a Technical Lead at Nearform, you should possess proficiency in Python and AI/ML libraries like TensorFlow or PyTorch. Experience with frameworks for multi-agent systems, a solid understanding of data science techniques, and a strong background in leading software engineering teams are essential. Familiarity with agile methodologies, DevOps practices, and cloud technologies will also be crucial.

Nearform is dedicated to continuous learning and development. We offer a training and development allowance, allowing you to upskill and stay updated with the latest technologies. Our culture promotes collaboration, and you’ll have the opportunity to lead innovative projects that enhance your leadership and technical skills.

As a Technical Lead, you will engage with a range of tools and technologies including Python, AI frameworks such as TensorFlow and PyTorch, cloud platforms like AWS and Azure, and version control systems like Git. Familiarity with big data tools and frontend technologies such as ReactJS may also be beneficial.

The interview process for the Technical Lead position at Nearform begins with an initial talent call, followed by a structured technical assessment to evaluate your skills and decision-making process. Lastly, you will have a conversation with a hiring manager to discuss teamwork and client collaboration. Be prepared for an engaging and thorough process!

When approaching architectural design, I begin by thoroughly understanding the project requirements and constraints. I then collaborate with my team to draft initial designs, focusing on scalability and security while ensuring the architecture aligns with the client’s expectations. It’s important to be adaptable and incorporate feedback from both the team and stakeholders.

Successful project delivery hinges on clear communication, meticulous planning, and proactive problem-solving. I establish regular check-ins with my team to monitor progress, address blockers swiftly, and keep stakeholders informed. Adhering to agile methodologies, I also ensure iterative feedback is incorporated throughout the project lifecycle.

In my previous roles, I’ve worked extensively with generative AI models, including implementing solutions using Azure OpenAI GPT. I enjoy experimenting with various architectures and frameworks such as LangChain, which allows for intricate multi-agent systems. I believe that a solid understanding of AI models is fundamental to leveraging their capabilities in real-world applications.

I believe in addressing conflicts openly and constructively. I encourage team members to express their viewpoints and facilitate discussions that seek to find common ground. Empathy is key; I strive to understand the underlying concerns of each person involved and work collaboratively toward a resolution that strengthens both the team dynamic and project objectives.

Mentorship is about fostering growth and independence. I create an open environment where junior developers feel comfortable asking questions and sharing ideas. I provide them with meaningful projects that align with their skillsets and guide them through challenges, focusing on best practices, and ensuring regular feedback is part of the learning process.

I have implemented several DevOps practices in my past roles, focusing on continuous integration and continuous deployment (CI/CD) that have greatly improved our development cycle efficiency. My understanding of cloud technologies allows me to deploy applications seamlessly, monitor performance, and address security concerns proactively.

Prioritization involves understanding project timelines, client requirements, and team capacity. I employ a collaborative approach, discussing priorities openly with my team and validating them with stakeholders. This ensures everyone is aligned and focused on delivering the highest impact tasks first.

Incorporating user feedback begins with active listening and understanding user pain points. I advocate for involving users in the testing phases and encourage feedback loops so we can iteratively refine our applications. Balancing user needs with business goals is crucial to delivering valuable solutions.

I regularly engage with industry literature, attend webinars and conferences, and participate in tech forums. Being part of professional networks allows me to exchange insights with other experts and stay informed about emerging technologies and best practices in AI and software engineering.

One of the key challenges is balancing technical guidance with managerial responsibilities. It’s essential to remain accessible to team members while ensuring that projects continue to move forward. I tackle this challenge by scheduling dedicated time for both management tasks and technical mentoring, ensuring that neither aspect is overlooked.