Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity ... internships and in-school experience) * 1+ years of experience with artificial intelligence ...
Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity ... internships and in-school experience) * 1+ years of experience with artificial intelligence ...
Internship Langchain Developer information
What are Internship Langchain Developers?
Internship Langchain Developers are students or early-career professionals who work in a temporary, learning-focused role, specifically developing applications using LangChain, a framework for building applications powered by language models. These interns help design, code, and test solutions that integrate large language models with external data sources and tools. The role provides practical experience in AI, natural language processing, and software development while working on real-world projects. Interns often collaborate with experienced engineers and receive mentorship to develop their technical and problem-solving skills.
What are the key skills and qualifications needed to thrive as an Internship Langchain Developer, and why are they important?
To thrive as an Internship Langchain Developer, you need a solid understanding of Python programming, basic knowledge of natural language processing (NLP), and a familiarity with machine learning concepts. Experience with tools such as LangChain, OpenAI APIs, and version control systems like Git is typically required. Strong problem-solving skills, eagerness to learn, and effective communication set standout candidates apart. These skills and qualities are crucial for building effective language-based applications, collaborating with teams, and adapting to a fast-evolving AI landscape.
What kinds of projects can an Internship Langchain Developer expect to work on, and how do these projects contribute to skill development?
As an Internship Langchain Developer, you can expect to work on projects involving the integration of large language models (LLMs) with various data sources and APIs, such as building chatbots, automating document analysis, or developing knowledge retrieval pipelines. These projects are usually collaborative, requiring you to work closely with senior developers, data scientists, and sometimes product managers. This hands-on experience helps you develop practical skills in Python, prompt engineering, and leveraging frameworks like Langchain, while also improving your problem-solving abilities in real-world scenarios. Additionally, you’ll learn best practices for deploying and maintaining AI-powered applications, which can be valuable for pursuing advanced roles in AI development.
What is the difference between Internship Langchain Developer vs Junior AI Developer?
| Aspect | Internship Langchain Developer | Junior AI Developer |
|---|---|---|
| Required Credentials | Enrolled in or recent graduate of CS, AI, or related field | Bachelor's degree in CS, AI, or related field |
| Work Environment | Internship setting, mentorship, project-based | Entry-level position, collaborative team environment |
| Employer & Industry Usage | Tech companies, startups focusing on NLP and AI | Tech firms, AI startups, research labs |
| Common Search & Comparison | Yes | Yes |
The main difference between an Internship Langchain Developer and a Junior AI Developer lies in experience level and employment status. Internships are typically temporary, mentorship-focused roles for students or recent graduates, while Junior AI Developers are entry-level full-time employees. Both roles involve working with AI and NLP technologies, but internships often emphasize learning and skill development, whereas junior roles focus on contributing to ongoing projects.
What are the most commonly searched types of Langchain Developer jobs in Indiana? The most popular types of Langchain Developer jobs in Indiana are:
What are popular job titles related to Internship Langchain Developer jobs in Indiana? For Internship Langchain Developer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Internship Langchain Developer jobs in Indiana look for? The top searched job categories for Internship Langchain Developer jobs in Indiana are:
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
57th of 139 rated financial services
Job description
Consultant - Data Science / Data Lake
Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Consultant, Cyber Defense & Resilience, Security Operations role, you will support cyber data, analytics, and transformation initiatives across leading organizations.
Recruiting for this role ends on 06/30/2026.
Work you'll do
As a Consultant, Cyber Defense & Resilience, Security Operations on the Cyber Defense & Resilience Security Operations team, you will be responsible for...
- Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
- Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response support
- Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
- Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
- Preparing analyses, client deliverables, and recommendations while collaborating with cross-functional stakeholders and project team members
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.
Qualifications
Required:
- 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience)
- 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
- 1+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
- Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
- Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
- Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response support
- Experience parsing and normalizing cyber or information technology telemetry datasets
- Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
- Experience with Apache Kafka, Storm, or Spark
- Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#CDRCyber27
Qualifications:Consultant - Data Science / Data Lake
Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Consultant, Cyber Defense & Resilience, Security Operations role, you will support cyber data, analytics, and transformation initiatives across leading organizations.
Recruiting for this role ends on 06/30/2026.
Work you'll do
As a Consultant, Cyber Defense & Resilience, Security Operations on the Cyber Defense & Resilience Security Operations team, you will be responsible for...
- Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
- Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response support
- Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
- Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
- Preparing analyses, client deliverables, and recommendations while collaborating with cross-functional stakeholders and project team members
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.
Qualifications
Required:
- 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience)
- 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
- 1+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
- Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
- Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
- Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response support
- Experience parsing and normalizing cyber or information technology telemetry datasets
- Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
- Experience with Apache Kafka, Storm, or Spark
- Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#CDRCyber27
Education:Bachelor's DegreeEmployment Type: