9 Ai Development Jobs

Job Overview We are seeking a highly experienced Senior AI Developer with extensive expertise in the latest generative AI (GenAI), agentic AI, and other cutting-edge artificial intelligence technologies. The ideal candidate has a proven track record of designing and deploying advanced AI solutions in dynamic, data-intensive environments. This role is perfect for an innovative thinker who thrives in fast-paced settings and is eager to push the boundaries of AI technology. ________________________________________ Key Responsibilities Advanced AI Development: Architect, develop, and implement AI models and systems, with a strong focus on generative and agentic AI. Leverage state-of-the-art algorithms and frameworks to build scalable and high-performance AI applications. Research & Innovation: Stay abreast of the latest trends and breakthroughs in AI, particularly in GenAI and agentic AI. Experiment with novel approaches and techniques to drive innovation and enhance product capabilities. Collaboration & Integration: Work closely with cross-functional teamsincluding data scientists, software engineers, and product managers—to integrate AI solutions into existing systems. Ensure seamless data flow and optimal performance across various platforms. Code Quality & Mentorship: Write robust, clean, and maintainable code. Lead technical discussions, perform code reviews, and mentor junior developers, fostering a culture of continuous learning and excellence. Performance Optimization & Scalability: Optimize AI models for efficiency and scalability. Address performance bottlenecks and continuously monitor system performance to ensure reliability and accuracy. ________________________________________ Required Qualifications Experience: Extensive industry experience in AI development, with a strong portfolio that demonstrates proficiency in generative AI and agentic AI applications. Technical Skills: AI Frameworks & Libraries: Hands-on experience with modern AI frameworks (e.g., TensorFlow, PyTorch) and familiarity with emerging generative AI platforms. Programming Languages: Proficiency in Python, with exposure to additional languages like Rust or C++ considered a plus. Data Management: Expertise in handling large-scale, data-intensive environments and designing efficient data pipelines. Core Competencies: Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions. Excellent communication skills for effective collaboration across diverse teams. Familiarity with Agile methodologies and best practices in software development. ________________________________________ Preferred Qualifications Advanced degrees (Master’s/Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience with cloud-based AI solutions and infrastructure (e.g., AWS, Azure, Google Cloud). Proven track record of contributing to AI research publications or patents in the field of generative and agentic AI. Knowledge of ethical AI practices and ensuring model fairness, transparency, and accountability.

Duration: 6Months Position Description: We are seeking a AI Specialist/Engineer focused on building and deploying AI-powered Copilots, intelligent agents, and chatbots. In this role, you will leverage your expertise in AI techniques such as natural language processing (NLP), generative AI, and cognitive automation to develop solutions that enhance user experience, automate tasks, and provide intelligent assistance. You will be responsible for understanding business requirements, designing and implementing AI models, and deploying them. This is an opportunity to make a direct impact on our AI initiatives within a focused timeframe. Key Responsibilities: Copilot and Agent Development: Design, develop, and deploy AI-powered Copilots and intelligent agents to automate tasks, provide proactive assistance, and enhance user productivity. Chatbot Creation: Build and deploy chatbots using NLP techniques to provide conversational interfaces for various applications, including customer support, information retrieval, and task completion. Requirements Gathering: Understand business requirements and translate them into technical specifications for AI models and applications. AI Model Development: Develop and fine-tune AI algorithms, models, and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation, and enable self-service capabilities. Integration and Deployment: Integrate AI solutions with existing systems and deploy them in a production environment. Experimentation and Optimization: Perform experimentation to evaluate the performance of AI models and optimize them for accuracy, efficiency, and scalability. Skills Required: Knowledge in developing and deploying AI solutions using techniques such as natural language processing (NLP), generative AI, and cognitive automation. Proven experience in building and deploying chatbots and/or intelligent agents Proficiency in programming languages such as Python, R, or similar languages commonly used in AI development. Exposure to AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn Exposure with cloud computing platforms (e.g., AWS, Azure, GCP) and deploying AI models in a production environment. Experience Required: Experience in chat bot development and Co-Pilot Experience in using Python Education Required: Bachelor's degree in computer science, Artificial Intelligence, Machine Learning, or a related field.

Key Responsibilities: Build, train, and evaluate machine learning models using PyTorch, TensorFlow, or similar frameworks. Apply concepts like neural networks, regression algorithms, and loss functions in real-world projects. Participate in designing and implementing scalable AI solutions. Collaborate with cross-functional teams to integrate AI modules into products. Document your process, experiments, and learnings clearly. Explain model decisions and architecture to non-technical stakeholders, if needed.

Experience: 10 Years Work Type: Onsite Budget: As per market standards Primary Skills NodeJS 6+ years of hands-on backend development JavaScript / HTML / CSS Strong frontend development capabilities ReactJS / VueJS Working knowledge or project experience preferred AWS Serverless Architecture Mandatory (Lambda, API Gateway, S3) LLM Integration / AI Development Experience with OpenAI, Anthropic APIs Prompt Engineering Context management and token optimization SQL / NoSQL Databases Solid experience with relational & non-relational DBs EndToEnd Deployment Deploy, debug, and manage full-stack apps Clean Code Writes clean, maintainable, production-ready code Secondary Skills Amazon Bedrock Familiarity is a strong plus Web Servers Experience with Nginx / Apache configuration RAG Patterns / VectorDBs / AIAgents Bonus experience Software Engineering Best Practices Strong design & architecture skills CI/CD / DevOps Exposure Beneficial for full pipeline integration Expectations Own frontend and backend development Collaborate closely with engineering and client teams Build scalable, secure, and intelligent systems Influence architecture and tech stack decisions Stay up-to-date with AI trends and serverless best practices

What you will be doing... This role will be responsible for design and implementation of big data analysis applications to support VZW device technology. Design and implement data integration from various data sources. Performance tuning, diagnose, resolve big data and streaming technical issues. Design and implement solutions across multiple layers of the technology stack, including data processing, database, web services, network, and user security. Assist UI and frontend engineers to assure the system meets performance goals. Perform integration testing and assist QA on large projects. Contribute to requirements analysis, project estimation, design, coding, and testing. Suggest and implement third party libraries and software in the product when appropriate. Deliver applications that meet performance and scalability goals of the project. Always be on the top of latest techniques on big data and AIML What we are looking for You'll need to have: Bachelors degree or four or more years of work experience. Experience designing and implementing data applications in production using Java/ Python/ Scala and etc on big data platforms. Hands-on experience with related/complementary open source software platforms and languages such as Java, Linux, Spark, Hadoop, Kafka, Pulsar etc. Deep knowledge of information architecture methodologies; enterprise-wide data architecture for designing and building data lakes, data warehouses and BI reporting databases on Docker cluster Deep knowledge of distributed data architecture concepts such as caching, map-reduce, stream processing. Solid knowledge of data security & compliance. Understand data visualization techniques and libraries and their applicability to business Proficient in the programming languages of Java, Java Scripts, Python, Scala and SQL. Even better if you have one or more of the following: Experience in AI Development. Strong written and verbal communication skills.

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g. , Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

Looking for immediate joining candidates We're Hiring: Machine Learning Engineer (LLMs & Generative AI) Are you passionate about building cutting-edge AI solutions? We're looking for a Machine Learning Engineer with hands-on experience in Large Language Models (LLMs) to join our dynamic team. What Youll Do: Develop, fine-tune & deploy models like GPT, Claude, Gemini, or AWS Bedrock Design scalable ML pipelines and optimize model performance Integrate ML solutions into production with robust APIs Collaborate across teams and contribute to innovative AI projects Stay ahead of the curve with research and experimentation What You'll Bring: 5+ years of experience in ML/AI development Proficiency in Python (Java is a plus) Strong experience with LLMs, generative AI, and frameworks like TensorFlow or PyTorch Familiarity with cloud platforms (AWS, GCP, or Azure) Solid data engineering skills and a problem-solving mindset Bonus Points For: Experience with multi-modal models and reinforcement learning Understanding of MLOps tools like MLflow or Kubeflow Advanced degree in a related field Join us to work on AI that makes a real-world impact. Apply now and help shape the future of intelligent systems!

Position Overview: We are seeking a talented and motivated R&D Engineer with 2 - 5 years of experience to join our dynamic team. As an AI Developer, you will be responsible for developing and implementing AI solutions that drive innovation and enhance business processes. This is an excellent opportunity to work on cutting-edge projects, including research and development (R&D) efforts, and contribute to the growth of our organization. Key Responsibilities: Collaborate with cross-functional teams to understand business requirements and develop AI models and algorithms to address those needs. Design, develop, and optimize reusable Python frameworks and libraries to streamline application development. Ensure scalability, modularity, and maintainability of the frameworks. Conduct code reviews to maintain high-quality standards. Collaborate with th team to explore emerging technologies and methodologies. Prototype innovative solutions and assess their feasibility for implementation. Stay updated with the latest trends in Python development and related technologies. Implement and integrate AI solutions into existing software systems or develop new applications from scratch. Conduct experiments and tests to evaluate the performance of AI models and algorithms. Stay up-to-date with the latest advancements in AI and machine learning technologies, tools, and techniques. Engage in R&D initiatives, exploring new AI methodologies, algorithms, and technologies to improve the capabilities of AI models. Collaborate with stakeholders to gather feedback and iterate on AI solutions for continuous improvement. Document code, models, and algorithms for future reference and knowledge sharing. Qualifications: 2+ years of experience as an AI Developer Bachelors or Masters degree. Strong understanding of machine learning concepts and algorithms,. Experience with programming languages commonly used in AI development, such as Python, Java, or C++.. Knowledge of software development principles, version control systems (e.g., Git), and agile methodologies. Good problem-solving and analytical skills, with the ability to think creatively and propose innovative solutions. Excellent communication and teamwork abilities to collaborate effectively with multidisciplinary teams. Strong attention to detail and commitment to delivering high-quality work within deadlines. Experience or demonstrated interest in R&D for AI solutions, with a portfolio of personal or academic AI projects that showcase hands-on experience with frameworks .

What will you do: Consult on and enable successful execution of Data Science AI/ML and Generative AI solutions in assigned geo, focusing on Red Hat AI GTM. Educate customers and stakeholders on the value of Red Hat's Data Science AI/ML and Generative AI offerings, highlighting their applications and benefits. Lead and enable on hyper-competitive sales situations for the Data Science AI/ML and Generative AI portfolio, leveraging expertise in Predictive Analytics and Generative AI development practices. Serve as a geo-level bi-directional conduit of GTM for Red Hat AI between sales, products, engineering, marketing, enablement, and customer success, ensuring seamless communication and collaboration. Work closely with Red Hat AI product teams, providing feedback and identifying gaps in the offering to drive continuous improvement. Build lasting relationships with cloud providers and other 3rd parties for joint GTM, focusing on Data Science AI/ML and Generative AI solutions. Interface with regional sales leadership for account planning and GTM, ensuring alignment and effective execution of Red Hat AI sales strategies. What will you bring: 8+ years of Data Science and/or AI/ML application development practices and architectures. Subject matter expert in Data Science and Data Engineering concepts, Predictive Analytics, and/or Generative AI development practices Working knowledge of full stack AI development and deployment tools, including Feature Stores, Vector Databases, Embedding Models, ETL tooling, and modern programming languages/frameworks Experience with Kubernetes ecosystem, including competing technologies, and Cloud Service Providers with established account relationships Understanding of DevOps, agile, and similar concepts Working knowledge of full stack application development and deployment tools, including those of build, deployment, project management, automation, source code management, testing, quality/security, monitoring [APM], and configuration of the same, to deliver applications to production Executive presence with public speaking skills Expert Practitioner of the Challenger Sales Model Entrepreneurial mindset Preferred Qualifications Computer Science or other technical degree with an MBA, emphasizing a strong foundation in technical and business acumen. Previous experience as a sales engineer, technical sales, or similar role, highlighting expertise in driving sales and technical conversations in the Data Science AI/ML and Generative AI space. Experience working with cloud providers and other 3rd parties for joint GTM, leveraging relationships to drive indirect sales and co-selling opportunities. Background in leading development teams in delivering applications to production, consulting, and/or driving sales of Red Hat AI solutions, demonstrating a deep understanding of customer challenges and the ability to propose credible solutions. Strong relationships with Cloud Service Provider account teams, executives, and industry partners, with the ability to grow and maintain these relationships to drive co-selling and indirect sales opportunities. Technical and/or Sales role experience working directly for hyperscalers or in partner ecosystem