Job Description

Sr LLM Engineer

Job Type: Full Time

Salary: 35 LPA

NP: Immediate

Shift Timing: 4-5 hours of PST time zone overlapping (Candidate needs to be flexible) and Remaining 4-5 hours as per India time zone.

Full Time

Location: India

Overall Experience: 7-12 Years

Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration.

Key Responsibilities:

Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines.o Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions.o Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives.o Translate business needs into scalable, production-ready AI solutions.o Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases.o Contribute to architecture discussions, code reviews, and performance optimization.
Skills Required:

Proficient in Python, Langchain, and SQL.o Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows.o Background in machine learning or software engineering with a focus on system-level thinking.o Experience working with cloud platforms like AWS, Azure, or GCP.o Ability to work independently while collaborating effectively across teams.o Excellent communication and stakeholder management skills.
Preferred Qualifications:

hands-on experience in LLMs and Generative AI techniques.o Experience contributing to ML/AI product pipelines or end-to-end deployments.o Familiarity with MLOps and scalable deployment patterns for AI models.o Prior exposure to client-facing projects or cross-functional AI teams.
Job Types: Full-time, Permanent

Pay: ?3,200,000.00 - ?3,700,000.00 per year

Benefits:

Health insurance Provident Fund
Schedule:

Day shift US shift
Supplemental Pay:

Performance bonus
Application Question(s):

Are you an immediate joiner? Your current CTC?
Experience:

Total: 8 years (Preferred) RAG: 4 years (Preferred) LLM: 4 years (Preferred) Python: 8 years (Preferred)
Work Location: Remote