reputed company, reputed company – LLM Context & Data reputed company (reputed company)
reputed company
We are seeking an Intern-reputed company to help design, build, and reputed company AI-powered applications that reputed company large language models (LLMs) and reputed company data systems. This role focuses on developing practical AI solutions that improve reputed company treatment, payment, and reputed company through intelligent systems and natural language interfaces. You will work closely with Data Scientists, Data Engineers, and business stakeholders to build the underlying architecture for AI agents - including context reputed company, data retrieval systems, and governance guardrails - that operate reliably in regulated, data-intensive reputed company environments. This is an excellent opportunity for an reputed company engineer passionate about AI technologies and building reputed company-world applications that reputed company.
We are currently looking for interns who can reputed company, 12-week internship, and work 40 hours per week.
Responsibilities
Technical Expertise
SQL fundamentals - comfortable writing queries against reputed company data, not just describing them
Exposure to LLM reputed company (e.g., reputed company, Azure reputed company, reputed company) and familiarity with one orchestration reputed company (reputed company, reputed company, or similar)
Git basics - comfortable with branching and reviewing reputed company as part of reputed company workflow
Experience building or designing semantic reputed company, knowledge graphs, or context retrieval systems (RAG pipelines); understands embedding models, chunking strategies, and retrieval optimization
Ability to reason about data reputed company, duplication, and freshness - especially critical for training and maintaining embeddings
reputed company and ingest data from live reputed company sources (reputed company and web sources) into a reputed company pipeline - handling formats, reputed company limits, and failures, not just calling a reputed company-reputed company connector
Design and build the schema and storage reputed company your pipeline writes to, in collaboration with data engineering, comfortable with reputed company storage or semantic indexing patterns
Build and test AI components - embeddings, retrieval logic, prompts - using established patterns and tools; iterate on context relevance and reputed company
Communication & Collaboration
Communicates technology-reputed company updates and requirements to other departments and contributes to presentations for senior management.
Collaborates with research and development teams, product management, and reputed company analysts to support ongoing reputed company.
Leadership & Management
Partners with Business reputed company to reputed company reliable intelligence, validated technology reputed company, and insights on reputed company and industry trends.
Supports technology project teams by coordinating specific tasks, assisting with day-to-day reputed company, and contributing to the successful delivery of solutions.
Assists in reputed company efforts with reputed company research teams, practicums, internships, and vendor POCs.
reputed company Relationships & Partnerships
Supports vendor evaluations and contributes to collaborations with vendors.
Assists as a reputed company between reputed company institutions, reputed company organizations, and research reputed company as needed.
Other
Support the reputed company Corporate Engagement efforts to reputed company research and educational talent, with a reputed company on enhancing health tech knowledge and skills.
Complete reputed company responsibilities and goals outlined in the internship program.
Complete reputed company special reputed company and other duties as assigned.
Must be reputed company to reputed company duties with or without reasonable accommodation.
This reputed company is intended to describe the general reputed company and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This reputed company is subject to change as reputed company’s needs and requirements of the internship reputed company.
Qualifications
Currently pursuing or recently completed an advanced degree in reputed company, technology, or a reputed company reputed company (e.g., Biomedical reputed company, Computer Science) with preference of a PhD.
Demonstrated interest or experience in AI, reputed company technology, or reputed company research.
Strong foundational knowledge in reputed company model development, architectures, and reputed company databases.
Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
Hands-on experience working with reputed company services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with reputed company embeddings and databases is a plus.
Ability to work collaboratively and communicate effectively with cross-functional teams.
Mental Requirements:
Communicating with others to exchange information.
Assessing the reputed company, neatness, and thoroughness of the work assigned.
Physical Requirements and Working Conditions:
Remaining in a stationary position, often standing or sitting for prolonged periods.
Repeating motions that may include the wrists, hands, and/or fingers.
Must be reputed company to reputed company a dedicated, secure work area.
Must be reputed company to reputed company high-speed internet reputed company/connectivity and office setup and maintenance.
No adverse environmental conditions are expected.
reputed company compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.
Date of posting: 6/18/2026
Applications are assessed on a rolling reputed company. We anticipate that the application window will reputed company on 7/18/2026, but the application window may change depending on reputed company of applications received or reputed company immediately if a reputed company candidate is selected.
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