
Generative Ai Engineer
3 days ago
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
Job Types: Full-time, Permanent
Pay: ₹3,500, ₹4,500,000.00 per month
Benefits:
- Health insurance
- Provident Fund
Work Location: In person
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