LLM Engineer

Carrerlift; Hyderabad; Hybrid; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Direct mentorship in research

Open-source contributions

Publications exposure

Job summary

AlgoProfessor AI R&D is seeking 2 LLM Engineers to advance fine-tuning, evaluation, and retrieval-augmented generation for large language models. Hybrid/remote arrangements within India are available.

The roles emphasize hands-on LLM engineering, experimentation, and practical AI capabilities rather than maintaining existing systems, with mentorship and opportunities for research publications.

Qualifications

• The role focuses on fine-tuning, evaluation, retrieval-augmented generation and inference optimisation for large language models.
• Hands-on LLM engineering and experimentation required.

Responsibilities

• Fine-tune large language models for research and practical use cases.
• Build and improve evaluation approaches for LLM-based systems.
• Work on retrieval-augmented generation pipelines and related research problems.
• Improve inference performance and efficiency where relevant to the project.

Skills

LLM engineering

Fine-tuning

Evaluation

Retrieval-augmented generation

Inference optimization

Job description

About the role:

• AlgoProfessor AI R&D is hiring 2 LLM Engineers.
• The position focuses on fine-tuning, evaluation, retrieval-augmented generation and inference optimisation for large language models.
• Opportunities are available across Hyderabad, hybrid and remote arrangements within India.

What you'll work on:

• Fine-tune large language models for research and practical use cases.
• Build and improve evaluation approaches for LLM-based systems.
• Work on retrieval-augmented generation pipelines and related research problems.
• Improve inference performance and efficiency where relevant to the project.
• Contribute to AI work intended to reach clients, universities or open-source communities.

What we're looking for:

• The overall hiring drive spans freshers to candidates with 10+ years of experience depending on the individual role.
• Candidates should be strongly interested in hands-on LLM engineering and experimentation.
• The role suits people who want to build new AI capabilities rather than only maintain existing systems.

What you'll get:

• Direct mentorship in research and publishing.
• Opportunities to contribute to publications and open-source projects.
• Exposure to real research problems with practical outcomes.