Generative AI Engineer

Direct message the job poster from Altimetrik

Overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization’s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.

Altimetrik helps get companies get “unstuck”. We’re a technology company that lives organizations a process and context to solve problems in unconventional ways. We’re a catalyst for organization’s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable.

Qualifications At least 4 years of specialized and hands-on experience in Generative AI

Expert-level Python programming skills are mandatory. This includes deep familiarity with core Python, as well as extensive proficiency in key libraries for AI/ML and GenAI applications

Scientific Computing: NumPy, Pandas, SciPy

Generative AI specific Libraries: Transformers, LangChain

Demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation. This includes not just developing models but also deploying, monitoring, and maintaining them in a live environment. Proof-of-concept work alone is insufficient; candidates must articulate the challenges and successes of deploying GenAI solutions at scale

Deep understanding of LLM architectures, Retrieval-Augmented Generation (RAG) principles, and advanced chatbot architectures, with practical experience building and deploying robust solutions

Extensive knowledge of Machine Learning concepts, including advanced modeling techniques, model evaluation, and deployment strategies

Proven expertise in prompt engineering, fine-tuning LLMs, and optimizing performance for specific use cases

Seniority level Mid-Senior level

Employment type Full-time

Job function Information Technology

Industries Software Development, Banking, and Financial Services

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