GenAI Engineering Manager

Das ist der Job

You will be a key member of the Turing GenAI delivery organization and part of a GenAI project.

Darum lohnt es sich

You will be required to work with a team of other Turing engineers across different skill sets. Experience in driving the engineering team toward a technical roadmap. Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction.

Mentoring and guidance : Provide technical leadership and knowledge‑sharing to the engineering team, fostering best practices in machine learning and large language model development. About the role Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers.

In the past, the Turing GenAI delivery organization has implemented industry leading multi‑agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.

Required skills 12+ years of professional hands‑on engineering experience with at least 5/6+ years in building AI/ML models & systems. 1+ years of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.

Expert in architecting GenAI applications/systems using various frameworks & cloud services Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.

Excellent communication skills to effectively collaborate with business SMEs Roles & Responsibilities Build the technical roadmap given a business requirement and own the delivery of the same.

Develop and optimize LLM‑based solutions : Lead the design, training, fine‑tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval‑augmented generation (RAG), and agent‑based architectures.

Codebase ownership : Maintain high‑quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.

Cloud integration : Aid in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.

Cross‑functional collaboration : Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.

Continuous innovation : Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Advantages of joining Turing Amazing work culture (Super collaborative & supportive work environment; 5 days a week) Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) Competitive compensation Flexible working hours Full‑time remote opportunity We are proud to be an equal opportunity employer.

We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. We are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity.

If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing’s GDPR notice here. #J-18808-Ljbffr