Senior/Staff LLM

1 week ago

Mumbai, Maharashtra, India First Phoenics Solutions Full time

Job Title – Sr./Staff GenAI Engineer Location – Mumbai (Goregaon)- 3 days reports to Office

Experience – 9+ years

Employment Type – Fulltime

Notice Period – Immediate Joiners Preferred

Mandatory –


• Strong expertise in LLMs, prompt engineering, RAG, and AI agents.


• 9-12 years building production-grade ML systems.


• Advanced Python skills with LangChain/LangGraph experience.


• Proficient in SQL for data manipulation and building pipelines.


• Hands-on experience deploying GenAI apps on Azure/GCP/AWS.


• Ability to design scalable, high-performance GenAI architectures.


• Excellent communication for cross-functional collaboration.


• Proven ability to mentor, lead, and drive innovation in GenAI

Required skills


• 8+ years of professional experience in building Machine Learning models & systems for Sr GenAI Engineer and 10+ years for Staff GenAI Engineer


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


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


• Understanding of Cloud services from various cloud services from Azure, GCP, or AWS for building the GenAI applications


• 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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