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AI Engineer

Illumina

AI Engineer

Illumina

India - Bengaluru - Manyata

·

On-site

·

Full-time

·

5d ago

Required Skills

Python

Machine Learning

What if the work you did every day could impact the lives of people you know? Or all of humanity?

At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.

Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

Job Description:

Illumina’s AI Center of Excellence is seeking a passionate and future thinking AI Engineer to deliver world class innovative solutions across the enterprise. In this role will provide technical expertise and oversight of the development of integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments. Directs the use of machine language and statistical modeling techniques such as decision trees, logistic regression, and Bayesian analysis to develop and evaluate algorithms to improve performance, quality, data management and accuracy. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics, and other products that allow users to have an interactive experience.

This is an India-based role and candidates must be willing to work in a hybrid work setting with a few days per week in the office.

  • Key Responsibilities

  • Architect and develop complex AI agent systems for manufacturing automation and optimization

  • Design and implement multi-agent orchestration frameworks for production environments

  • Build and maintain ontologies and knowledge bases for domain-specific AI applications

  • Lead technical initiatives from concept through production deployment

  • Mentor junior engineers and contribute to technical best practices

  • Collaborate with stakeholders across manufacturing, logistics, and engineering teams

  • Drive innovation in AI agent capabilities and integration patterns

  • Ensure scalability, reliability, and performance of AI systems in production

  • Required Qualifications

  • Experience: 5+ years in AI/ML development and deployment

  • AI Agent Development: Proven track record of building AI agents with at least some production or near-production deployment experience

Technical Expertise:

  • Strong proficiency in Python and modern software engineering practices

  • Deep understanding of LLM architectures, fine-tuning, and prompt engineering

  • Hands-on experience designing orchestration systems for multi-agent workflows

  • Working knowledge of ontology design and knowledge representation

  • Experience with deployment practices and taking systems beyond local development

  • Preferred Qualifications

  • Extensive experience within the AWS Technology Stack (MS Azure experience a plus)

  • Model Context Protocol (MCP) - familiarity or experimentation (this is a cutting-edge, production experience not expected)

  • Domain Knowledge: Background in healthcare, manufacturing, logistics, sales, supply chain, or customer service (strong plus but not required)

  • Track record of leading technical projects or mentoring engineers

  • Experience with CI/CD pipelines for AI/ML systems

  • Publications, blog posts, or presentations on AI agent systems

  • Active engagement with emerging AI technologies a

We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.

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About Illumina

Illumina

Illumina

Public

Unlocking the power of the genome.

5,001-10,000

Employees

San Diego

Headquarters

Reviews

3.3

5 reviews

Work Life Balance

4.0

Compensation

3.5

Culture

3.2

Career

3.0

Management

2.0

Pros

Good colleagues and friendly people

Work life balance

Hybrid work flexibility

Cons

Poor management and leadership

Lack of direction from senior leadership

Job insecurity and layoffs

Salary Ranges

631 data points

Junior/L3

L3

L5

L6

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist P1

0 reports

$159,633

total / year

Base

-

Stock

-

Bonus

-

$135,688

$183,578

Interview Experience

5 interviews

Difficulty

3.2

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HR Screen

3

Technical Interview

4

Stakeholder/Panel Interview

5

Final Round

6

Offer

Common Questions

Technical Knowledge

Past Experience

Behavioral/STAR

Role-Specific Skills

Culture Fit