Technical Lead

Nxtwave Disruptive Technologies (Hiring for a client)

Ahmedabad District

On-site

INR 1,200,000 - 1,600,000

Full time

2 days ago
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Job summary

Nxtwave Disruptive Technologies (Hiring for a client) seeks a Technical Lead AI to design AI architectures, guide teams, and deliver production AI solutions. The role blends hands-on coding with leadership, driving AI projects from concept to deployment.

You will mentor engineers, review designs, and collaborate with cross‑functional teams on chatbots, NLP, analytics, and LLM-based workflows, aiming for scalable, production‑ready AI APIs.

Qualifications

  • 5–8 years in AI/ML with at least 2+ years in a tech lead role.
  • Proven experience building production AI applications.
  • Experience leading or mentoring a team of engineers.
  • Background in service-based or product engineering preferred.

Responsibilities

  • 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.
  • 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.
  • Stay updated with the latest advancements in AI, ML, 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.

Skills

Generative AI and LLMs
Lang Chain / Llama Index
NLP
AI APIs integration
Vector DBs / Embeddings / RAG
Full Stack development

Job description

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.

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