291 AI Developer jobs in Coimbatore
Generative AI Developer
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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 .
AI developer/Support
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AI Skills:
- Proficiency in Python
- Experience with Langchain
- Understanding of the Basics of Machine Learning
- Knowledge of Natural Language Processing (NLP) and NLP Algorithms
- Familiarity with Vector Databases
- Experience with Azure Cloud and Deployments
- Expertise in Generative AI
- Proficiency in Prompt Engineering
- Familiarity with Model Training
- Experience with Model Evaluation
- Knowledge of AI Ethics and Responsible AI Practices
- Basic understanding of Cloud Infrastructure and Services
- Ability to work with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Google A2A protocol)
Immediate Joiners only
AI developer/Support
Posted 4 days ago
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Job Description
AI Skills:
- Proficiency in Python
- Experience with Langchain
- Understanding of the Basics of Machine Learning
- Knowledge of Natural Language Processing (NLP) and NLP Algorithms
- Familiarity with Vector Databases
- Experience with Azure Cloud and Deployments
- Expertise in Generative AI
- Proficiency in Prompt Engineering
- Familiarity with Model Training
- Experience with Model Evaluation
- Knowledge of AI Ethics and Responsible AI Practices
- Basic understanding of Cloud Infrastructure and Services
- Ability to work with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Google A2A protocol)
Immediate Joiners only
Ai developer – ai agent integration
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AI Developer – AI Agent Integration
Posted today
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Job Summary
Hirextra seeks an innovative AI Developer to design, build, and integrate *custom AI agents* into our platform, transforming recruitment workflows and candidate matching. The ideal candidate will leverage machine learning, NLP, and agent frameworks to create autonomous systems that automate complex staffing tasks and enhance platform intelligence.
Key Responsibilities
- *Design and deploy AI agents* for resume parsing, dynamic candidate-job matching, predictive analytics, and recruitment workflow automation.
- Implement NLP-driven agents to extract, classify, and analyze data from resumes, job descriptions, and communications.
- *Architect seamless integrations of AI agents* into Hirextra’s platform (ATS/CRM ecosystems) via APIs and microservices.
- Collaborate with recruiters and product teams to identify agent-driven automation opportunities.
- Optimize agent performance, scalability, and reliability within cloud environments (AWS/Azure/GCP).
- Establish feedback loops for continuous agent learning and compliance alignment (e.g., GDPR, US staffing laws).
- Research emerging AI agent frameworks (e.g., LangChain, AutoGen) and HR tech trends.
Required Skills & Experience
- Proven experience in *AI agent development* (e.g., autonomous systems, RAG architectures, multi-agent workflows).
- Expertise in Python, ML frameworks (TensorFlow/PyTorch), and *NLP libraries* (spaCy, Hugging Face).
- *Platform integration experience*: RESTful APIs, cloud services (AWS/Azure/GCP), and CI/CD pipelines.
- Familiarity with *recruitment data tools* (e.g., Sovren, Daxtra) and US staffing workflows (VMS, C2C, compliance).
- Ability to translate business needs into scalable agent-based solutions.
- Strong problem-solving and cross-functional communication skills.
Preferred Qualifications
- Bachelor’s/Master’s in Computer Science, Data Science, or related field.
- Experience with *agentic frameworks* (e.g., LangChain, LlamaIndex) and LLM orchestration.
- Background in staffing domains (healthcare, IT, finance) or HR tech.
- Knowledge of ethical AI practices and data privacy regulations (GDPR, CCPA).
Why Join Hirextra?
- *Pioneer AI agent technology* on a platform dedicated to reinventing staffing.
- Directly shape Hirextra’s AI roadmap with your integrations.
- 100% remote flexibility with a collaborative, growth-focused team.
- Impact millions of placements through intelligent automation.
AI Developer – AI Agent Integration
Posted 3 days ago
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Job Description
Job Summary
Hirextra seeks an innovative AI Developer to design, build, and integrate *custom AI agents* into our platform, transforming recruitment workflows and candidate matching. The ideal candidate will leverage machine learning, NLP, and agent frameworks to create autonomous systems that automate complex staffing tasks and enhance platform intelligence.
Key Responsibilities
- *Design and deploy AI agents* for resume parsing, dynamic candidate-job matching, predictive analytics, and recruitment workflow automation.
- Implement NLP-driven agents to extract, classify, and analyze data from resumes, job descriptions, and communications.
- *Architect seamless integrations of AI agents* into Hirextra’s platform (ATS/CRM ecosystems) via APIs and microservices.
- Collaborate with recruiters and product teams to identify agent-driven automation opportunities.
- Optimize agent performance, scalability, and reliability within cloud environments (AWS/Azure/GCP).
- Establish feedback loops for continuous agent learning and compliance alignment (e.g., GDPR, US staffing laws).
- Research emerging AI agent frameworks (e.g., LangChain, AutoGen) and HR tech trends.
Required Skills & Experience
- Proven experience in *AI agent development* (e.g., autonomous systems, RAG architectures, multi-agent workflows).
- Expertise in Python, ML frameworks (TensorFlow/PyTorch), and *NLP libraries* (spaCy, Hugging Face).
- *Platform integration experience*: RESTful APIs, cloud services (AWS/Azure/GCP), and CI/CD pipelines.
- Familiarity with *recruitment data tools* (e.g., Sovren, Daxtra) and US staffing workflows (VMS, C2C, compliance).
- Ability to translate business needs into scalable agent-based solutions.
- Strong problem-solving and cross-functional communication skills.
Preferred Qualifications
- Bachelor’s/Master’s in Computer Science, Data Science, or related field.
- Experience with *agentic frameworks* (e.g., LangChain, LlamaIndex) and LLM orchestration.
- Background in staffing domains (healthcare, IT, finance) or HR tech.
- Knowledge of ethical AI practices and data privacy regulations (GDPR, CCPA).
Why Join Hirextra?
- *Pioneer AI agent technology* on a platform dedicated to reinventing staffing.
- Directly shape Hirextra’s AI roadmap with your integrations.
- 100% remote flexibility with a collaborative, growth-focused team.
- Impact millions of placements through intelligent automation.
AI Developer (2 – 4 Years)
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AI Developer (2 – 4 Years)
Experience: 2 to 4 years
Location: Remote
Mode of Engagement: Full-time
No of Positions: 4
Educational Qualification: B.E./B.Tech/M.E./M.Tech in Computer Science, AI/ML, or related field
Industry: IT – AI/ML Services
Notice Period: Immediate Joiner
What We Are Looking For:
- 2–4 years of experience in AI/ML with hands-on exposure to LLMs and agentic AI development.
- Strong Python programming background for building AI workflows, APIs, and integrations.
- Experience with agentic AI frameworks like LangChain, LlamaIndex, or AutoGen.
- Ability to work independently and collaborate effectively in remote and fast-paced environments.
Responsibilities:
- Design and build advanced LLM-driven agentic systems with memory, multi-step planning, and tool invocation capabilities.
- Implement Model Context Protocol (MCP) patterns to coordinate LLMs with APIs, scrapers, and microservices.
- Collaborate with cross-functional teams to translate problem statements into intelligent automation flows.
- Maintain clean, scalable code and contribute to production-ready pipelines with Docker, FastAPI, and Git.
- Stay updated with the latest innovations in LLM reasoning, agent architectures, and open-source tools.
Qualifications:
- Bachelor’s or master's in computer science, Artificial Intelligence, or related field.
- 3+ years of experience in AI/ML or backend engineering roles, with recent focus on LLM-based systems.
- Strong understanding of LLM prompting, tool chaining, memory management, and agent planning frameworks (e.g., ReAct, Tree of Thought).
- Familiar with containerization (Docker), REST APIs, and version control systems (Git).
- Good written and verbal communication skills.
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AI Developer (2 – 4 Years)
Posted 4 days ago
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Job Description
AI Developer (2 – 4 Years)
Experience: 2 to 4 years
Location: Remote
Mode of Engagement: Full-time
No of Positions: 4
Educational Qualification: B.E./B.Tech/M.E./M.Tech in Computer Science, AI/ML, or related field
Industry: IT – AI/ML Services
Notice Period: Immediate Joiner
What We Are Looking For:
- 2–4 years of experience in AI/ML with hands-on exposure to LLMs and agentic AI development.
- Strong Python programming background for building AI workflows, APIs, and integrations.
- Experience with agentic AI frameworks like LangChain, LlamaIndex, or AutoGen.
- Ability to work independently and collaborate effectively in remote and fast-paced environments.
Responsibilities:
- Design and build advanced LLM-driven agentic systems with memory, multi-step planning, and tool invocation capabilities.
- Implement Model Context Protocol (MCP) patterns to coordinate LLMs with APIs, scrapers, and microservices.
- Collaborate with cross-functional teams to translate problem statements into intelligent automation flows.
- Maintain clean, scalable code and contribute to production-ready pipelines with Docker, FastAPI, and Git.
- Stay updated with the latest innovations in LLM reasoning, agent architectures, and open-source tools.
Qualifications:
- Bachelor’s or master's in computer science, Artificial Intelligence, or related field.
- 3+ years of experience in AI/ML or backend engineering roles, with recent focus on LLM-based systems.
- Strong understanding of LLM prompting, tool chaining, memory management, and agent planning frameworks (e.g., ReAct, Tree of Thought).
- Familiar with containerization (Docker), REST APIs, and version control systems (Git).
- Good written and verbal communication skills.
Ai website developer
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? Join Pravartan.ai as an AI Website Developer ? Remote | Flexible Hours | 0–3 Yrs Experience We’re building next-gen AI-powered websites — and we want passionate, creative builders to join our mission? Follow & Apply: Q6i PQK? Role: AI Website Developer ? Type: Remote | Flexible Hours ? Experience: 0–3 Year (Freshers welcome!)? What You’ll Work On • Build interactive AI-powered websites & landing pages • Integrate AI chatbots, automation agents, and smart tools into sites • Work with platforms like Wix, Word Press, Webflow, and AI site builders • Connect APIs, automate workflows, and craft smooth UX/UI • Experiment, iterate, and launch fast — real impact, real projects Who We’re Looking For • Basics of HTML, CSS, and Java Script clear • Comfortable with AI tools (Chat GPT, Open AI API, Lang Chain, etc.) • Experience or interest in website automation & no-code/low-code tools • Creative problem-solver with an eye for design • Thinks like a builder, not just a task-doer? Perks • Work directly with the founders • Flexible hours, zero micromanagement • Build a public portfolio from Day1 • Opportunity to fast-track into core roles as we scale? Bonus: Built any cool AI-powered website or automation? Drop the link? DM us or apply via Linked In Let’s design & build the future of intelligent websites — together.#AIJobs #Remote Work #Website Developer #AIIntegration #Open AI #Hiring #Startup Jobs #Freshers Welcome #Pravartan #AIJobs hashtag#Remote Work hashtag #Python Developer hashtag #LLM hashtag #Lang Chain hashtag#Open AI hashtag #Hiring hashtag #Startup Jobs hashtag #Freshers Welcome hashtag #Pravartan