Job title: LLM Model Developer – India
About SailPoint:
SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce, ensuring workers have the right access to do their job – no more, no less.
Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today’s cloud-oriented, modern enterprise.
About the role:
Want to be on a team that full of results-driven individuals who are constantly seeking to innovate? At SailPoint, our Engineering team does just that.
In this role, You will be responsible for feature development within the team, writing exemplary code, consistently setting the bar for code reviews and technical advice on your team.
Responsibilities :
- Fine-tune large language models using models available in Amazon Bedrock to enhance model relevance and performance in specific contexts
- Collaborate with cross-functional teams to understand business requirements and develop models that meet those requirements.
- Stay updated with the latest advancements in machine learning and data science, integrating innovative approaches for sustained competitive advantage.
- Deliver efficient, maintainable, robust Java code.
- Produce designs and rough estimates, and implement features based on product requirements.
- Collaborate with peers on designs, code reviews, and testing.
Requirements:
- 5+ years of overall experience in machine learning and deep learning, with 2+ years focused on Large Language Models (LLMs) and Generative AI.
- Experience in Amazon Bedrock service, LLM models.
- Expertise in Retrieval-Augmented Generation (RAG) techniques, including ingestion techniques, parsing/chunking strategies, reranking, embedding, and vector databases.
- Strong background in prompt engineering, including system prompts and context prompting to enhance model interactions and outputs.
- Knowledge of ethical AI practices, including guardrails to prevent prompt injections and ensure responsible AI usage.
- Strong Java experience
- Great communication skills
- BS in Computer Science, or a related field
Preferred
Experience with AWS
Experience with Continuous Delivery
What success looks like in the role
Within the first 30 days you will:
- Onboard into your new role, get familiar with our product offering and technology, proactively meet peers and stakeholders, set up your test and development environment.
- Seek to deeply understand business problems or common engineering challenges and propose software architecture designs to solve them elegantly by abstracting useful common patterns.
By 90 days:
- Proactively collaborate on, discuss, debate and refine ideas, problem statements, and software designs with different (sometimes many) stakeholders, architects and members of your team.
- Take a committed approach to prototyping and co-implementing systems alongside less experienced engineers on your team—there’s no room for ivory towers here.
By 6 months:
- Collaborates with Product Management and Engineering Lead to estimate and deliver small to medium complexity features more independently.
- Occasionally serve as a debugging and implementation expert during escalations of systems issues that have evaded the ability of less experienced engineers to solve in a timely manner.
- Share support of critical team systems by participating in calls with customers, learning the characteristics of currently running systems, and participating in improvements.
About SailPoint India and our Benefits:
Nestled in the heart of Pune, a bustling hub of technology and culture, the office exemplifies SailPoint's commitment to excellence. Surrounded by a vibrant atmosphere, the Pune office serves as a strategic center for the company, where cutting-edge solutions are crafted and implemented to address the ever-evolving challenges in identity security. With a team of highly skilled professionals, the office embodies SailPoint's values of Integrity, Innovation, Impact and Individuals.
Our Pune team works under a hybrid model enjoying the office 3 days a week (unless otherwise specified). We provide excellent office amenities, competitive salaries and strong benefits:
- Our benefits program offers medical insurance for employees and their dependents, accident insurance and term life insurance for all employees. All premiums are paid by SailPoint.
- Company sponsored health-checkups for employees and discounted rates for dependents
- Annual performance bonus
- Private equity at certain levels
- 24 Leaves every year in addition, 10 holidays
- Flexible Work hours.
SailPoint is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
