Senior AI Engineer

E2M; Ahmedabad District; Vor Ort; INR 1.800.000 - 2.800.000; Vollzeit

Zusammenfassung

E2M Solutions is seeking a Technical Lead – AI in India to drive AI architecture and lead engineering teams across AI/ML projects. You will mentor engineers, set technical direction, and ensure scalable AI solutions that align with business goals.

Responsibilities include leading design, evaluating new AI tools, and delivering production-ready AI systems, including chatbots and NLP pipelines. Strong hands-on leadership and a passion for innovation are essential.

Qualifikationen

• 5–8 years of experience in AI/ML development with at least 2+ years in a Technical Lead/Senior Engineer role.
• Proven track record building production AI applications and leading teams.
• Experience with Generative AI, LLMs, and AI orchestration frameworks.

Aufgaben

• Lead design and development of AI/ML solutions and intelligent automation systems.
• Provide technical guidance and mentorship to AI engineers.
• Conduct architecture and code reviews and promote best practices in AI coding and deployment.
• Develop AI-powered solutions including chatbots, NLP systems, and predictive analytics models.

Kenntnisse

AI/ML development

Leadership/mentoring

Architectural design

NLP

LLMs / Generative AI

Prompt engineering

Full stack development

Tools

Lang Chain

Llama Index

Jobbeschreibung

E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing. Founded on strong business ethics, we are an equal opportunity organization powered by 350+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together. If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you.

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.

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.
• 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.