Artificial Intelligence Developer Position

1 week ago

Pune, Maharashtra, India beBeeGenerative Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Generative AI Developer Position

We are seeking a skilled Generative AI Developer to join our team. As a key member of our organization, you will be part of a GenAI project and work closely with other engineers across different skill sets.

In this role, you will be responsible for developing and optimizing LLM-based solutions, including designing, training, fine-tuning, and deploying large language models. You will also maintain high-quality code in Python and SQL, focusing on reusable components, scalability, and performance best practices. Additionally, you will aid in the deployment of GenAI applications on cloud platforms and collaborate with product owners, data scientists, and business SMEs to define project requirements.

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

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.

• 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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