120 AI Developer jobs in Coimbatore

Job Summary

**Only immediate joiners preferred

We are seeking a highly skilled and passionate Generative AI Developer to join our growing team. This role demands deep expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering, with a strong focus on driving business impact in the Retail and Consumer Packaged Goods (CPG) domain. The ideal candidate will be comfortable working at the intersection of technology and industry, building scalable and innovative AI solutions that support personalization, automation, and decision intelligence.

Key Responsibilities

• Design, develop, and deploy GenAI solutions using LLMs such as GPT, Claude, LLaMA, or open-source equivalents.
• Build and optimize RAG pipelines leveraging vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding models.
• Engineer, evaluate, and refine prompts to improve output accuracy and relevance across different use cases.
• Collaborate with data scientists, engineers, and retail/CPG domain experts to identify high-impact AI opportunities.
• Monitor, maintain, and fine-tune deployed models to ensure performance, scalability, and business alignment.
• Stay current on advancements in the GenAI and LLM ecosystem and assess applicability to ongoing and future initiatives.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline.
• 3+ years of hands-on experience with LLMs, NLP, and GenAI development.
• Strong understanding and implementation experience of RAG-based architectures.
• Proficient in Python, with working knowledge of frameworks and libraries like HuggingFace, LangChain, OpenAI APIs, and Transformers.
• Familiar with embedding techniques and vector databases (e.g., FAISS, Pinecone).
• Demonstrated ability to translate retail/CPG-specific business challenges into scalable AI solutions.
• Experience deploying AI solutions in cloud environments (AWS, Azure, or GCP).

Preferred Qualifications

• Experience with multimodal LLMs or custom model fine-tuning.
• Integration of GenAI solutions into enterprise systems, BI tools, or customer-facing platforms.
• Knowledge of ethical AI, data governance, and responsible AI practices in production environments.

Why Join Us?

• Be at the forefront of innovation by applying GenAI to real-world retail/CPG challenges.
• Work in a dynamic, fast-paced, and intellectually stimulating environment.
• Collaborate with cross-functional teams across data science, engineering, and domain consulting.
• Enjoy flexibility through a hybrid/remote work model and opportunities for continuous learning

At Visteon, the work we do is both relevant and recognized —not just by our organization, but by our peers, by industry-leading brands, and by millions of drivers around the world. That’s YOUR work.

And, as a truly global technology leader in the mobility space, focused on building cross-functional AND cross-cultural teams, we connect you with people who help you grow.

So here, whatever we do is not a job. It’s a mission. As a multi-billion-dollar leader of disruptive change in the industry, we are shaping the future, while enabling a cleaner environment. No other industry offers more fast-paced change and opportunity. We are in the midst of a mobility revolution that will completely change the way we interact with our vehicles, reduce the number of car accidents and fatalities, and make the world a cleaner place. 

Visteon is at the epicenter of this mobility revolution.

Two major trends in the automotive industry – the shift to electric vehicles and vehicles with autonomous safety technologies – have created unique opportunities for Visteon. We are the only automotive provider focused exclusively on cockpit electronics – the fastest-growing segment in the industry. 

Mission of the Role:
Facilitate Enterprise machine learning and artificial intelligence solutions using the latest technologies Visteon is adopting globally.

Key Objectives of this Role:

The primary goal of the Global ML/AI Developer is to leverage advanced machine learning and artificial intelligence techniques to develop innovative solutions that drive Visteon’s strategic initiatives. By collaborating with cross-functional teams and stakeholders, this role identifies opportunities for AI-driven improvements, designs and implements scalable ML models, and integrates these models into existing systems to enhance operational efficiency. Following development best practices, fostering a culture of continuous learning, and staying abreast of AI advancements, the Global ML/AI Developer ensures that all AI solutions align with organizational goals, support data-driven decision-making, and continuously improve Visteon’s technological capabilities.

Key Performance Indicators:
1. Model Accuracy and Performance: Track deployed ML models' accuracy, precision, recall, and F1 scores to ensure they meet performance benchmarks and deliver reliable predictions.
2. Deployment Efficiency: Measure the time taken to deploy ML models from development to production, ensuring a streamlined and efficient deployment process.
3. Scalability and Integration: Evaluate the scalability of ML models by monitoring their performance under varying loads and their integration with existing systems. KPIs could include the number of integrated data sources and the efficiency of data pipelines.
4. Innovation and Research: Track the adoption of new ML/AI techniques and technologies, participation in industry conferences, and contributions to research publications or internal knowledge-sharing platforms.
5. Model Maintenance and Updates: Monitor the frequency and effectiveness of model updates and maintenance activities to ensure that models remain accurate and relevant.
6. Training and Knowledge Transfer: Assess the effectiveness of training programs and knowledge transfer by tracking team members’ proficiency in ML/AI development and the adoption of best practices.
7. Business Impact: Measure the impact of ML/AI solutions on business outcomes, such as increased revenue, cost savings, or improved operational efficiency. Use metrics like ROI (Return on Investment) or specific business KPIs to evaluate success.
8. Compliance and Ethics: Ensure compliance with data privacy regulations and ethical standards by monitoring adherence to data governance policies, bias mitigation strategies, and transparency in model decision-making processes.
9. Customer Satisfaction: Collect feedback from internal stakeholders or clients to evaluate their satisfaction with ML/AI solutions. Use metrics like Net Promoter Score (NPS) or customer satisfaction surveys to identify areas for improvement.


Key Year One Deliverables:
1. Current State Assessment and Documentation: Conduct a thorough evaluation of the existing AI/ML infrastructure, including data sources, models, platforms, and governance practices. Document findings and identify areas for improvement.
2. Stakeholder Needs Analysis: Collaborate with key stakeholders to understand their requirements, challenges, and priorities for AI/ML solutions. Gain a comprehensive understanding of business objectives and user needs.
3. Roadmap and Strategy Development: Develop a strategic roadmap for AI/ML implementation that aligns with organizational goals. Prioritize initiatives based on business value, feasibility, data availability, technical constraints, and resource needs.
4. Prototyping and Proof of Concept: Create prototypes or proof of concept solutions to demonstrate the potential of AI/ML in addressing specific business challenges or opportunities. Validate technical feasibility and gather stakeholder feedback.
5. Governance Framework Establishment: Establish and implement a governance framework for AI/ML development and usage, including data security policies, access controls, data quality standards, and change management processes.
6. Training and Enablement Programs: Design and deliver training programs to enhance the skills and capabilities of team members and end users in AI/ML development, best practices, and data analysis techniques.
7. Model Development and Deployment: Develop and deploy high-quality AI/ML models to meet critical business requirements. Ensure models are accurate, scalable, and aligned with user needs.
8. Integration with Existing Systems: Integrate AI/ML solutions with existing data sources, applications, and systems to create a unified analytics environment. Ensure seamless data flow and interoperability between AI/ML models and other platforms.
9. Documentation and Knowledge Sharing: Document AI/ML solutions, best practices, and lessons learned to facilitate knowledge sharing and promote reusability across the organization.
10. Performance Measurement and Reporting: Establish performance metrics and reporting mechanisms to track progress against key objectives and KPIs. Provide regular updates to stakeholders on the status of AI/ML initiatives and their impact on business outcomes.
Qualification, Experience and Skills:

Technical Skills:
• Extensive expertise in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, R, SQL), and data processing tools (e.g., Apache Spark, Hadoop).
• Proficient in backend development for Python using FastAPI and Django Rest.
• Skilled in developing, training, and deploying machine learning models, including supervised and unsupervised learning, deep learning, and reinforcement learning (fine-tuning).
• Strong understanding of data engineering concepts, including data preprocessing, feature engineering, and data pipeline development.
• Experienced with cloud platforms (preferably Microsoft Azure) for deploying and scaling machine learning solutions.
• Hands-on experience with core machine learning algorithms, concepts, and virtual environment managers (Poetry, Conda, Venv).
• Expertise in natural language processing (NLP) using Langchain and OpenAI, as well as computer vision tasks such as classification, object detection, and segmentation.
Business Acumen: Strong business analysis and ability to translate complex technical concepts into actionable business insights and recommendations.
Key Behaviors:
• Innovation: Continuously seeks out new ideas, technologies, and methodologies to improve AI/ML solutions and drive the organization forward.
• Attention to Detail: Pays close attention to all aspects of the work, ensuring accuracy and thoroughness in data analysis, model development, and documentation.
• Effective Communication: Clearly and effectively communicates complex technical concepts to non-technical stakeholders, ensuring understanding and alignment across the organization.

Reporting Structure: This role reports to the Innovation department lead

More Good Reasons to Work for Visteon Focusing on the Future

Our company strategy focuses on leading the evolution of automotive digital cockpits and safety solutions. This strategy is driven by constant innovation, and you will support our efforts through your role. We are recognized across the industry for innovation. We have a strong book of business that is expected to drive future growth, along with a customer base that includes almost every automotive manufacturer in the world.

Company Culture

Working at Visteon is a journey in which our employees can develop their strengths and advance their careers while making a difference globally. Join us and help change the world and how we interact with our vehicles. Visteon is where the best technical talent creates the future. Learn more about our culture

About Visteon

Visteon is a global technology company serving the mobility industry, dedicated to creating a more enjoyable, connected and safe driving experience. The company’s platforms leverage proven, scalable hardware and software solutions that enable the digital, electric, and autonomous evolution of our global automotive customers. Visteon products align with key industry trends and include digital instrument clusters, displays, Android-based infotainment systems, domain controllers, advanced driver assistance systems and battery management systems. The company is headquartered in Van Buren Township, Michigan, and has approximately 10,000 employees at more than 40 facilities in 18 countries. Visteon reported sales of approximately $2.8 billion and booked $5.1 billion of new business in 2021.Learn more at .

Sub:TCS Virtual Drive – Gen AI Developer

Greetings from Tata Consultancy Services!

TCS is hiring for Gen AI Developer

Experience : 10-16 years

Location: PAN India

Job Description-

Excellent knowledge in Python programming .

Hands on experience in Generative AI Prompt Engineering ,Fine-Tuning, RAG Architecture, Langchain.

Knowledge of Agentic AI

Knowledge in one of the following

• AWS: Bedrock, SageMaker, Lambda for AI workloads

• Azure: OpenAI Service, ML Studio, Cognitive Service

• GCP: Vertex AI, Generative AI Studio, TPU training

Job Summary

**Only immediate joiners preferred

We are seeking a highly skilled and passionate Generative AI Developer to join our growing team. This role demands deep expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering, with a strong focus on driving business impact in the Retail and Consumer Packaged Goods (CPG) domain. The ideal candidate will be comfortable working at the intersection of technology and industry, building scalable and innovative AI solutions that support personalization, automation, and decision intelligence.

Key Responsibilities

• Design, develop, and deploy GenAI solutions using LLMs such as GPT, Claude, LLaMA, or open-source equivalents.
• Build and optimize RAG pipelines leveraging vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding models.
• Engineer, evaluate, and refine prompts to improve output accuracy and relevance across different use cases.
• Collaborate with data scientists, engineers, and retail/CPG domain experts to identify high-impact AI opportunities.
• Monitor, maintain, and fine-tune deployed models to ensure performance, scalability, and business alignment.
• Stay current on advancements in the GenAI and LLM ecosystem and assess applicability to ongoing and future initiatives.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline.
• 3+ years of hands-on experience with LLMs, NLP, and GenAI development.
• Strong understanding and implementation experience of RAG-based architectures.
• Proficient in Python, with working knowledge of frameworks and libraries like HuggingFace, LangChain, OpenAI APIs, and Transformers.
• Familiar with embedding techniques and vector databases (e.g., FAISS, Pinecone).
• Demonstrated ability to translate retail/CPG-specific business challenges into scalable AI solutions.
• Experience deploying AI solutions in cloud environments (AWS, Azure, or GCP).

Preferred Qualifications

• Experience with multimodal LLMs or custom model fine-tuning.
• Integration of GenAI solutions into enterprise systems, BI tools, or customer-facing platforms.
• Knowledge of ethical AI, data governance, and responsible AI practices in production environments.

Why Join Us?

• Be at the forefront of innovation by applying GenAI to real-world retail/CPG challenges.
• Work in a dynamic, fast-paced, and intellectually stimulating environment.
• Collaborate with cross-functional teams across data science, engineering, and domain consulting.
• Enjoy flexibility through a hybrid/remote work model and opportunities for continuous learning

AI Developer/Lead Position
Overview

Lead the development and implementation of AI-powered solutions to enhance nonprofit operational efficiency. This role combines technical leadership with hands-on development, driving our aggressive 6-week implementation cycles and multi-modal development approach.

Key Responsibilities:

Technical Leadership
? Lead technical design and architecture decisions for AI applications across all classification categories
? Oversee PoC development, bug fixes, iteration, and production builds
? Implement and maintain open-source AI foundations (Llama, Haystack, LlamaGuard)
? Design and manage synthetic data pipelines for training and analytics
? Ensure deployment and go-live support for all AI applications Development Strategy Execution
? Drive accelerated creation using AI-powered development tools (Replit, Windsurf, Cursor) for rapid prototyping

Manage complete development lifecycle: initial AI-assisted development ? manual code refinement ? user feedback integration ? production deployment
? Deploy applications directly on organizational servers with robust CI/CD processes
? Collaborate with global contributor network through GitHub
? Contribute insights back to the nonprofit technology community
?Integrate OSINT information into research and analytics workflows Application Development Focus Areas
? Basic automation for meeting reports, eCourts monitoring, administrative workflows
? Custom data management platforms replacing Excel-based systems
? Specialized LLM chatbots with domain knowledge across multiple functions ? Multi-modal tracking solutions (image, video, audio, location data)
? ML/NLP tools for hotspot prediction, translation services, investigative tools
? Compliance applications with automated DPDP and regulatory adherence
? Cybersecurity integration with secure communication frameworks

Required Qualifications
? 5+ years experience in AI/ML development and deployment
? Proficiency in Python, JavaScript, React and modern AI frameworks
? Experience with LLM integration, fine-tuning, and safety models
? Hands-on experience with inference engines (like Groq/Cerebras) and API integration
? Strong background in server deployment and infrastructure management
? Experience with AI-assisted development tools (Replit, Cursor, Windsurf)
? Strong background in open-source development and GitHub collaboration
? Experience transitioning from rapid prototypes to production-ready applications
? Proven ability to deliver production applications in aggressive timelines
? Experience working with distributed international teams across multiple time zones

Preferred Qualifications
? Experience with multi-modal AI applications
? Knowledge of both cloud-based inference services and self-hosted model deployment
? DevOps experience with server management and deployment automation

Company Description

LueinAnalytics, founded in 2017, is a pioneer in AI Research and Consulting, offering next-generation AI consulting services. The company helps organizations across diverse industries to implement and optimize Artificial Intelligence and analytics solutions. Luein Analytics combines industry expertise, leading cloud platforms, and data science to deliver transformative outcomes, maximizing the power of data to solve critical challenges.

Role Description

This is a remote internship role for a Computer Vision Deep Learning Intern at Luein Analytics. The intern will be responsible for working on computer vision projects using deep learning techniques. They will collaborate with the team on research, development, and implementation of computer vision algorithms and models.

Duration : 3 months, Full-time (10am-6pm), Remote

Stipend : INR 8000 / month

Qualifications

• Experience with Computer Vision and Deep Learning
• Python programming fluency
• Knowledge of Supervised and Unsupervised Learning, Reinforcement Learning, and Neural Networks
• Familiarity with Image Processing and Computer Vision libraries (e.g - OpenCV, TensorFlow, PyTorch)
• Experience fine-tuning base models like ResNet, EfficientNet, Contrastive learning, for image classifications and image detection tasks.
• Strong programming skills in languages such as Python.
• Understanding of Machine Learning concepts and algorithms
• Ability to work independently and collaboratively in a remote setting
• Pursuing or completed a graduate degree in Computer Science, Artificial Intelligence, or related field

/company/autogenx-ai

Company Description

AUTOGENX.AI is an AI consulting and integration firm focusing on agentic automation and digital labor for modern enterprises. We design custom AI systems tailored to industry workflows, compliance, and commercial outcomes. Our solutions are modular, composable, and seamlessly integrate with existing systems to enable intelligent decision-making and autonomous execution. Our expertise spans the full breadth of business operations, addressing the specific needs of each industry we serve. We engineer business advantage through AI.

Role Description

This is a full-time remote role for an AI Automation Developer. The AI Automation Developer will be responsible for designing and developing automation solutions, implementing AI systems, ensuring high-quality software development, programming, and maintaining quality assurance standards. The role requires close collaboration with cross-functional teams to deliver customized AI solutions that drive business efficiency and performance.

Qualifications

• Experience in Process Automation and Automation
• Proficiency in Software Development and Programming
• Quality Assurance skills
• Strong analytical and problem-solving abilities
• Excellent communication and teamwork skills
• Ability to work independently and remotely
• Experience in AI and machine learning is a plus