Job Description
About the Role :
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.
Note : It’s a Work From Office, If you are comfortable then only apply.
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 58 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.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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