Gen AI Intern Job at Airbus (Bangalore Area)

Gen AI Intern

Location

India , Bangalore Area

Salary:

Not provided

Airbus

Expiration Date

Until further notice

Requirements

Strong Python skills
Experience with Data Wrangling and Preprocessing
Familiarity with LangChain, LlamaIndex, and VectorDB
Good understanding of transformer architecture, embeddings, and tokenizers
Experience with machine learning frameworks like TensorFlow or PyTorch
Understanding of LLMs, fine-tuning techniques, and RAG methodologies
Proficiency in version control systems (e.g., Git) and software development best practices
Pursuing technical Under Graduate or post graduate in B.E/B.Tech OR M.Tech/M.E in Computer Science, Electricals, Electronics or relevant degree
Awareness of any potential compliance risks and a commitment to act with integrity

Job Responsibility

Engage in research and implementation of Retrieval-Augmented Generation (RAG) and other advanced techniques to enhance Language model capabilities
Participate in data preparation for fine-tuning processes
Assist in setting up and optimizing the pipeline for fine-tuning, Quantization
Participate in the training of small transformer models, ensuring performance and efficiency
Contribute to the development of an internal orchestration framework for LLM
Collaborate with senior engineers to integrate LLM S\W Components into the existing system architecture
Support the deployment and monitoring of models in production environments
Document processes, workflows, and findings to ensure knowledge sharing and reproducibility

Fulltime

Gen AI Intern

Location

India , Bangalore

Salary:

Not provided

Airbus

Expiration Date

Until further notice

Requirements

Strong Python skills
Experience with Data Wrangling and Preprocessing
Familiarity with LangChain, LlamaIndex, and VectorDB
Good understanding of transformer architecture, embeddings, and tokenizers
Experience with machine learning frameworks like TensorFlow or PyTorch
Understanding of LLMs, fine-tuning techniques, and RAG methodologies
Proficiency in version control systems (e.g., Git) and software development best practices
Pursuing technical Under Graduate or post graduate in B.E/B.Tech OR M.Tech/M.E in Computer Science, Electricals, Electronics or relevant degree
Awareness of any potential compliance risks and a commitment to act with integrity

Job Responsibility

Engage in research and implementation of Retrieval-Augmented Generation (RAG) and other advanced techniques to enhance Language model capabilities
Participate in data preparation for fine-tuning processes
Assist in setting up and optimizing the pipeline for fine-tuning, Quantization
Participate in the training of small transformer models, ensuring performance and efficiency
Contribute to the development of an internal orchestration framework for LLM
Collaborate with senior engineers to integrate LLM S\W Components into the existing system architecture
Support the deployment and monitoring of models in production environments
Document processes, workflows, and findings to ensure knowledge sharing and reproducibility

Fulltime

Gen AI Intern

Location

India , Bangalore Area

Salary:

Not provided

Airbus

Expiration Date

Until further notice

Requirements

Strong Python skills
Experience with Data Wrangling and Preprocessing
Familiarity with LangChain, LlamaIndex, and VectorDB
Good understanding of transformer architecture, embeddings, and tokenizers
Experience with machine learning frameworks like TensorFlow or PyTorch
Understanding of LLMs, fine-tuning techniques, and RAG methodologies
Proficiency in version control systems (e.g., Git) and software development best practices
Pursuing technical Under Graduate or post graduate in B.E/B.Tech OR M.Tech/M.E in Computer Science, Electricals, Electronics or relevant degree
Awareness of any potential compliance risks and a commitment to act with integrity

Job Responsibility

Engage in research and implementation of Retrieval-Augmented Generation (RAG) and other advanced techniques to enhance Language model capabilities
Participate in data preparation for fine-tuning processes
Assist in setting up and optimizing the pipeline for fine-tuning, Quantization
Participate in the training of small transformer models, ensuring performance and efficiency
Contribute to the development of an internal orchestration framework for LLM
Collaborate with senior engineers to integrate LLM S\W Components into the existing system architecture
Support the deployment and monitoring of models in production environments
Document processes, workflows, and findings to ensure knowledge sharing and reproducibility

Fulltime

Summer Intern - Gen AI & Design

We're hiring a summer intern. Here's the honest version: We don't care about you...

Location

India , Noida

Salary:

Not provided

Appy Pie

Expiration Date

Until further notice

Requirements

You've spent real time inside tools like Higgsfield, Freepik AI, Runway, Midjourney, Sora, Krea
You think in prompts the way some people think in spreadsheets
You have design taste
You want to learn how AI generation systems are built, not just used
You like ambiguity
Anyone currently pursuing their college degree, any year, any branch

Job Responsibility

Work on real product
UI/UX for generation playground, prompt systems, presets, API-facing flows, and small experiments that ship fast
Sit close to product and design and have actual input on what we build

Fulltime

Ai Applied Scientist - Phd Intern, Next-Gen Agentic And Multi-Modal Home Exploration Experience

Are you passionate about creating AI agents capable of reasoning, planning, and ...

Location

United States

Salary:

104000.00 - 166000.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

Currently enrolled in a PhD program in computer science, NLP, machine learning, or a related field, with solid publication record
Background in at least one of the following areas: Human computer interaction (HCI)
User behavior research in the context of agentic AI
Agentic AI (tool use, planning, reasoning, decision-making)
Conversational AI and dialogue optimization
Multi-modal inference models with focus on combining 3D Computer Vision and LLMs
Multi-agent systems and orchestration
Memory systems and context engineering
Reinforcement learning and reward modeling
Familiarity with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers)

Job Responsibility

Personalized and Guided Home Exploration: An agentic approach that proactively guides and helps users navigate millions of listings to identify the best homes, the experience should be highly engaging, fun and goal oriented
Conversational Optimization: Enhanced multi-turn conversations with effective context management and improved dialogue quality, achieved through organized data from retrieved results
Multi-modal Collaboration System: A combination of 3D computer vision (utilizing 3D reconstructions and Gaussian splats) and LLM interfaces, powered by conversational AI

Fulltime

AI Applied Scientist - PhD Intern, Next-Gen Agentic and Multi-Modal Home Exploration Experience

Are you passionate about creating AI agents capable of reasoning, planning, and ...

Location

United States

Salary:

104000.00 - 166000.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

Currently enrolled in a PhD program in computer science, NLP, machine learning, or a related field, with solid publication record
Background in at least one of the following areas: Human computer interaction (HCI)
User behavior research in the context of agentic AI
Agentic AI (tool use, planning, reasoning, decision-making)
Conversational AI and dialogue optimization
Multi-modal inference models with focus on combining 3D Computer Vision and LLMs
Multi-agent systems and orchestration
Memory systems and context engineering
Reinforcement learning and reward modeling
Familiarity with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers)

Job Responsibility

Use expertise in Agentic systems, conversational AI, LLMs, and multi-modal inference to advance customer-facing experiences and interfaces
Build AI agents capable of handling complex, rich media oriented, multi-turn interactions while maintaining context and taking appropriate actions
Develop the next-generation real estate shopping experience that integrates Agentic and Multi-modal reasoning

Fulltime

Gen AI Engineering and Scaled AI Transformation

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of progressive experience in software engineering, ML, or AI platforms, with 5+ years leading senior engineers and architects
3+ years of hands‑on experience deploying LLM‑based systems in production environments at enterprise scale
Demonstrated authority across commercial and open‑source LLM ecosystems (e.g., OpenAI, Anthropic, Google, Llama), including model selection, fine‑tuning, and hosting strategies
Proven ability to define enterprise-wide GenAI standards, reference architectures, and reusable accelerators
Demonstrated leadership in establishing prompt engineering standards and orchestration patterns
Experience optimizing latency, throughput, accuracy, and token cost across large‑scale GenAI workloads
Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred

Job Responsibility

Acts as a senior technical authority on Large Language Models, including both commercial and open‑source ecosystems (OpenAI, Gemini, Claude, Llama)
Leads model selection and deployment strategy, balancing use‑case fit, data sensitivity, cost efficiency, latency, accuracy, and regulatory constraints
Guides decisions on hosted vs. private vs. fine‑tuned models, ensuring optimal trade‑offs between performance, control, and operational risk
Establishes enterprise standards for LLM lifecycle management, including upgrades, regression validation, and decommissioning
Demonstrates hands‑on leadership in building GenAI applications using LangChain, LangGraph, LlamaIndex, and Hugging Face, translating experimentation into production systems
Architects agentic and multi‑step workflows, enabling tool‑use, reasoning chains, state management, and orchestration at enterprise scale
Sets reusable reference patterns and accelerators for GenAI adoption across application teams
Ensures solutions are built with enterprise-grade reliability, explainability, and extensibility
Designs and delivers robust RAG architectures that ground GenAI outputs in trusted, auditable enterprise data
Leads implementation of vector databases and embedding strategies (pgvector, Pinecone, Weaviate, FAISS), aligned with data access and security models

Fulltime

Senior Gen AI Developer

The Applications Development Senior Programmer Analyst is an intermediate level ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6-8 years of professional, hands-on experience in software engineering, with a significant focus on data science and AI/ML application development
Proven track record of building and deploying machine learning models and AI-powered applications into production environments
Strong, hands-on technical expertise in machine learning (ML), natural language processing (NLP), large language models (LLMs), and retrieval-augmented generation (RAG)
Proficiency in building applications using modern AI frameworks and MLOps practices
Experience working with both structured and unstructured data, and building data processing pipelines
Familiarity with the software development lifecycle in a corporate or enterprise environment, including experience with version control, CI/CD, and testing
Excellent problem-solving skills and the ability to communicate complex technical concepts to both technical and non-technical stakeholders
Bachelor's degree/University degree or equivalent experience

Job Responsibility

AI Solution Development: Collaborate with business analysts and product managers to understand requirements and translate them into technical designs. Lead the hands-on development of high-quality, scalable AI solutions, including Large Language Models (LLMs), Natural Language Processing (NLP), and machine learning pipelines
Hands-On Engineering & Implementation: Design, build, and deploy robust AI systems and agentic solutions. Implement and optimize Retrieval-Augmented Generation (RAG) pipelines, integrating with internal knowledge bases, market data, and document repositories
Data Integration & Modeling: Work closely with data engineering teams to integrate structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data sources. Develop and maintain feature engineering pipelines for model training and evaluation
Prototyping & Productionizing: Rapidly develop proofs-of-concept (PoCs) to validate new ideas and technologies. Take successful prototypes and re-engineer them into robust, production-ready tools and features that can be integrated into banker workflows
Technical Excellence & Compliance: Implement AI solutions that adhere to the firm's standards for security, compliance, and model governance. Ensure code quality, maintainability, and comprehensive documentation for all developed systems
Mentorship & Collaboration: Act as a technical mentor for junior engineers, providing guidance on best practices in AI/ML development. Foster a culture of technical excellence and collaborative problem-solving within the team

Fulltime

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