Technical Lead

Job Overview:

We are seeking a highly skilled Technical Lead AI who combines deep technical expertise in AI/ML with strong leadership capabilities. The ideal candidate will be responsible for designing AI architectures, leading development teams, and ensuring the successful implementation of AI-driven solutions. This role requires a hands-on technical leader who can guide engineers, solve complex AI problems, and collaborate with cross-functional teams to translate business needs into innovative AI solutions.

Responsibilities:

Technical Leadership:

• Lead the design and development of AI/ML solutions and intelligent automation systems.
• Provide technical guidance and mentorship to AI engineers and developers.
• Conduct architecture reviews, code reviews, and technical evaluations.
• Ensure adoption of best practices in coding and app development.

AI Solution Development:

• Develop AI-powered solutions such as chatbots, recommendation engines, NLP systems, and predictive analytics models.
• Work on LLM-based applications, prompt engineering, and AI workflow automation.
• Build scalable AI APIs and production-ready AI systems.

Innovation & Research:

• Stay updated with the latest advancements in AI, Machine Learning, and Generative AI technologies.
• Evaluate new tools, frameworks, and technologies to enhance AI capabilities within the organization.
• Contribute to internal AI initiatives and innovation projects.

Required Experience/Qualification:

• Overall 5–8 years of experience in AI/ML development including minimum 2+ years in a Technical Lead / Senior Engineer role.
• Proven experience in building production-level AI applications.
• Experience in leading or mentoring a team of engineers.
• Background in service-based or product engineering companies preferred.

Required Skills:

• Experience working with Generative AI and Large Language Models (LLMs).
• Experience with Lang Chain, Llama Index, or similar AI orchestration frameworks.
• Strong knowledge of Natural Language Processing (NLP).
• Experience building AI APIs and integrating AI into applications.
• Familiarity with vector databases, embeddings, and RAG architectures.
• Working knowledge of Full Stack development.