Senior Generative AI Engineer (6-10 yrs)

Job Description :

Must Have Skills : Gen AI, LLM, Agentic Framework, Chat-Bot, Fast API, Cloud Azure & Azure AI services, Python, SQL, LangChain, RAG, MultiRAG, Vector DB.

Good to have : Knowledge Graph DB, Other Cloud

Coding Test : Mandatory

Key Skills :

Proficiency in Python, SQL, and cloud computing platforms (AWS, GCP, Azure)

- Experience with LangChain, vector databases, and Large Language Models (LLMs)

- Experience in machine learning operations (MLOps), model training, and fine-tuning

- 6+ years of experience in software development, with at least 3 years focused on generative AI techniques and models

Responsibilities :

Model Development and Implementation :

- Design, develop, and implement advanced generative AI models using state-of-the-art techniques.

Solution Architecture and Optimization :

- Collaborate with cross-functional teams to define project goals, understand research requirements, and deliver innovative generative AI solutions.

Prompt Engineering :

- Design, develop, and deploy Large Language Model (LLM) applications, leveraging technologies like LangChain and vector databases.

Codebase and Infrastructure Management :

- Develop and maintain clear documentation for generative AI models, processes, and results.

- Leverage cloud computing platforms (e.g., AWS, GCP, Azure) for efficient model training, deployment, and large-scale data processing.

Knowledge Sharing and Collaboration :

- Communicate complex generative AI concepts effectively to both technical and non-technical stakeholders.

- Provide support, guidance, and mentorship to team members.

Technical Skills and Expertise :

- Proficient in Python and SQL programming languages, essential for developing and maintaining generative AI solutions.

- Comprehensive understanding of LangChain concepts, including agents, chains, memory, and tools.