Gen AI Engineer

1 week ago

Pune, Maharashtra, India Ampstek-Costa Rica Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Title: Gen AI Engineer

Location:
Pune
, India

Job Type: Fulltime

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. 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

· 5+ years of professional experience in building Machine Learning models & systems

· 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.

· Experience in driving the engineering team toward a technical roadmap.

· Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.

· Understanding of Cloud services, including Azure, GCP, or AWS

· Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

·
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

: Aide 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.

·
Mentoring and guidance

: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.

·
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.

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