525 Generative Ai Jobs - Page 13

Were looking for a skilled Generative AI Engineer to build and deploy AI-powered applications using OpenAI models and Azure Cloud services . The ideal candidate will have experience in Python , RAG architectures , and OCR integration . Key Responsibilities: Develop GenAI apps using OpenAI APIs (ChatGPT, GPT-4, Embeddings). Deploy and manage solutions on Azure (App Services, Azure Functions, Cognitive Services). Build RAG pipelines with vector databases (e.g., Azure Cognitive Search). Integrate OCR using tools like Azure Vision or Tesseract . Automate workflows using Python and Azure SDKs. Ensure performance, scalability, and security in production environments. Skills Required: OpenAI (ChatGPT, GPT-4, Embeddings) Azure Cloud (Azure OpenAI, Azure Functions, Cognitive Services) Python (LangChain, FastAPI, SDKs) RAG frameworks & vector databases OCR tools (Tesseract, Azure OCR) Docker, Git, CI/CD pipelines Preferred: Experience with LangChain or LLM orchestration Familiarity with Azure DevOps or GitHub Actions

About this role: Wells Fargo is seeking a Software Engineer. In this role, you will: Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts Identify opportunities for service quality and availability improvements within the technology domain environment Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements Provide information to technology colleagues, internal partners, and stakeholders Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Work as a Generative AI engineer developing enterprise-scale AI applications Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks Lead Gen AI initiatives focused on developing intelligent agents and conversational systems Design and build robust LLM interfaces and orchestration pipelines Develop evaluation frameworks to measure and improve model performance Implement prompt engineering techniques to optimize model outputs Integrate Gen AI capabilities with existing enterprise applications Build and maintain frontend interfaces for AI applications Contribute to large scale planning of AI strategies and roadmaps Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Job Expectations: Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications

About this role: Wells Fargo is seeking a Software Engineer. In this role, you will: Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts Identify opportunities for service quality and availability improvements within the technology domain environment Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements Provide information to technology colleagues, internal partners, and stakeholders Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Work as a Generative AI engineer developing enterprise-scale AI applications Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks Lead Gen AI initiatives focused on developing intelligent agents and conversational systems Design and build robust LLM interfaces and orchestration pipelines Develop evaluation frameworks to measure and improve model performance Implement prompt engineering techniques to optimize model outputs Integrate Gen AI capabilities with existing enterprise applications Build and maintain frontend interfaces for AI applications Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Job Expectations: Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications

Job Title - S&C Global Network - AI - Supply Chain Analytics Management Level:Constant/ Manager Location: Gurugram, DDC1A, NonSTPI Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary: This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions – descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions – demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. The ideal candidate shall be, An expert in Supply chain operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning areas such as demand, supply, procurement, inventory, spares, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development.

About the Role We are looking for a Motion Graphics Artist & AI-First Video Editor who can seamlessly blend traditional motion graphics skills with cutting-edge AI content generation. Youll work closely with the creative team to conceptualise, design, and produce high-quality videos and visuals while actively leveraging Gen AI tools to accelerate and elevate outputs. This role is perfect for someone who is excited about the future of creative workflows someone equally comfortable with After Effects and Midjourney, Premiere Pro and Kling AI. Key Responsibilities Create engaging motion graphics, animated visuals, and edited videos using Adobe After Effects, Premiere Pro, and related tools. Enhance and manipulate images using Adobe Photoshop and Illustrator as needed. Conceptualise, script, and storyboard ideas when required. Edit raw footage into polished, professional videos optimised for various platforms. Use AI image generation tools (e.g., Midjourney) and AI video generation tools (e.g., RunwayML, Luma AI, Kling AI) to create innovative content. Collaborate with writers, designers, and other team members to bring projects to life. Stay on top of trends in AI content generation, motion design, and digital storytelling. Ideal Candidate Profile 24 years of hands-on experience in motion graphics, video editing, and creative visualisation. Proficient in: o Adobe After Effects (7/10) o Adobe Photoshop (8/10) o Adobe Illustrator (3/10) o Adobe Premiere Pro (5/10) Comfortable and familiar with: o Midjourney, RunwayML, Luma AI (basic to intermediate level) o New Gen AI platforms like Kling AI, ChatGPT (for scripting/ideation), Pika Labs, or equivalents. Strong grasp of visual storytelling and an ability to adapt styles based on project needs. Ability to write or refine scripts to align with visual narratives (good written English is a must). Strong attention to detail and a creative mindset. Ability to work across multiple projects simultaneously in a fast-paced environment. Hunger to experiment and push creative boundaries with new AI tools. Hiring Process Shortlisted candidates will be assigned a small task involving Gen AI tools to assess their creative approach, AI adaptability, and execution quality. Followed by a technical interview.

3+ YOE experience in Gen AI is mandatory. Should be open for 5 Days Work From Office General Shift timings Candidates from Noida/Greater Noida who are comfortable to work in general shifts with Work From Office only apply. "KASHIF@D2NSOLUTIONS.COM"

Job Summary: We are looking for a highly skilled and innovative Python Developer with strong experience in Generative AI to design, develop, and deploy intelligent applications that leverage cutting-edge AI/ML technologies. The ideal candidate should be proficient in Python programming and have hands-on experience with modern Gen AI tools and frameworks (like GPT, LLMs, Diffusion Models). You will collaborate closely with cross-functional teams to deliver robust, scalable, and intelligent solutions. Key Responsibilities: Develop and maintain AI-powered applications using Python and modern Gen AI tools (OpenAI, Hugging Face, LangChain, etc.). Design and implement intelligent agents, data pipelines, and LLM-based applications. Fine-tune and deploy large language models (LLMs) for specific business use cases. Collaborate with data scientists, product managers, and designers to integrate AI capabilities into existing and new systems. Build RESTful APIs and backend services that leverage Gen AI components. Optimize application performance and manage infrastructure on cloud platforms (AWS, GCP, or Azure). Ensure code quality, security, and best practices in AI development. Stay current with advances in AI/ML and contribute to innovation within the team. Required Qualifications: Bachelors or Master’s degree in Computer Science, AI/ML, or related field from a Tier 1 institution. 6+ years of software development experience, with strong proficiency in Python. Hands-on experience with LLMs, prompt engineering, and fine-tuning. Experience with frameworks like Hugging Face Transformers, LangChain, or OpenAI API. Solid understanding of data structures, algorithms, and API development. Familiarity with ML pipelines, model deployment, and vector databases (like FAISS, Pinecone, or Weaviate). Knowledge of cloud platforms and containerization (Docker, Kubernetes). Ability to work in agile, fast-paced environments and drive projects from concept to production. Preferred Qualifications: Contributions to open-source Gen AI or ML projects. Experience with RAG (Retrieval-Augmented Generation) pipelines. Knowledge of NLP, computer vision, or multi-modal AI systems. Familiarity with MLOps and AI observability tools. Published research papers or blogs on AI/ML topics.

Software Development Lead Roles & Responsibilities Lead complex software projects from conception to deployment. Manage software delivery scope, risk, and timeline. Rapid prototyping expertise, translating concepts into working code quickly. Provide technical guidance and mentorship to junior developers. Contribute to both front-end and back-end development using cloud technology. Develop innovative solutions using Generative AI technologies. Conduct code reviews to ensure quality and adherence to best practices. Create and maintain software documentation on architecture, design, deployment, disaster recovery, and operations. Stay updated with industry trends and advancements. Collaborate with product teams, business teams, and stakeholders. Design, develop, implement, and maintain applications with configurations, custom reports, interfaces, and enhancements. Analyze and translate technical requirements into software architecture specifications. Implement unit tests, integration tests, and other testing strategies for software quality assurance. Integrate applications with external systems for seamless data flow and functionality. Provide ongoing support and maintenance, ensuring smooth system operations. Improve reliability, scalability, and performance of applications. Develop and maintain monitoring tools and dashboards for system health tracking. Respond to incidents, conducting root cause analysis and implementing preventive measures. Implement security measures to protect against unauthorized access and cybersecurity threats. Basic Qualifications Doctorate degree OR Master's degree with 4-6 years of Computer Science, IT, or related field experience OR Bachelor's degree with 6-8 years of Computer Science, IT, or related field experience OR Diploma with 10-12 years of Computer Science, IT, or related field experience Must-Have Skills Strong business acumen with deep understanding of pharma regulations and compliance. Expert knowledge of submission publishing systems (Lorenz's docuBridge, Disclose from Citeline). Familiarity with ClinicalTrials.gov and EudraCT. Experience with Regulatory Veeva Vault. Proven success in managing technology initiatives, driving innovation and talent development. Exceptional collaboration and communication skills, with ability to manage multiple priorities in a fast-paced environment. Expertise in technology standard practices (Scaled Agile (SAFe), ITIL). Strong knowledge of information systems and network technologies. Good-to-Have Skills Extensive experience with eCTD specifications and highly regulated (GxP) systems. Leadership experience in pharmaceutical or technology organizations. Strong understanding of software development lifecycle for GxP Systems. Experience in Scaled Agile Framework (SAFe) adoption. Analytical and critical-thinking skills for effective decision-making. Ability to manage projects in dynamic, fast-paced environments. Established business partnerships and IS governance expertise. Broad knowledge of key IS domains and layers. Professional Certifications (Preferred) ITIL Certification (preferred). Scaled Agile Framework (SAFe) for Teams (preferred). Veeva Vault platform Certification (preferred). Soft Skills Excellent analytical and problem-solving abilities. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented focus on achieving collective goals. Strong presentation and public speaking skills.

Job Description Join our team as a Generative AI Architect in the AI Practice! We are looking for a visionary individual to lead the design, development, and deployment of cutting-edge Generative AI solutions, driving business value across our products and services. Key Responsibilities: - Lead generative AI initiatives in text, ASR, TTS & STT generation and develop AI pipelines and ML models. - Design scalable AI systems using state-of-the-art generative models like LLMs and diffusion models. - Collaborate with cross-functional teams to integrate generative AI into business workflows. - Define best practices for model lifecycle management, focusing on data preparation, training, evaluation, deployment, and monitoring. - Guide ethical AI development with a focus on fairness, interpretability, and compliance. Qualifications: - Bachelors or Masters degree in Computer Science or related field. - 7+ years of AI/ML development experience, with 2+ years in generative AI. - Hands-on experience with large language models and diffusion models. - Strong proficiency in Python and ML frameworks. - Experience with Azure, GCP, and containerization. - Familiarity with AI architecture patterns and model fine-tuning. - Knowledge of data privacy laws and AI ethics principles. Preferred: - Experience deploying GenAI applications in production. - Knowledge of vector databases and retrieval-augmented generation. - Experience with CI/CD pipelines for ML. Skills : - Generative AI,Large Language Models (LLMs),Diffusion Models,Machine Learning (ML),Artificial Intelligence (AI),Natural Language Processing (NLP),Python Programming,ML Frameworks (e.g., TensorFlow, PyTorch, Hugging Face),Azure,GCP,Ethical AI,Responsible AI,Vector Databases, RAG

Senior Software Engineer/AI Engineer What You Will Do Let's do this. Let's change the world. We are looking for a creative and technically skilled Senior Software Engineer/AI Engineer to design and build cutting-edge AI-powered search solutions for the pharmaceutical industry. In this role, you'll develop intelligent systems that surface the most relevant insights from clinical trials, scientific literature, regulatory documents, and internal knowledge assets, empowering researchers, clinicians, and decision-makers with faster, smarter access to the right information. Responsibilities Design and implement search algorithms using NLP, machine learning, semantic understanding, and deep learning models. Build and fine-tune models for information retrieval, query expansion, document ranking, summarization, and Q&A systems. Integrate LLMs (GPT, BERT, Bio BERT) for semantic and generative search. Train and evaluate custom models for biomedical named entity recognition, relevance ranking, and similarity search. Deploy vector-based search systems using embeddings and vector databases. Work with platform engineers to integrate AI models into scalable cloud infrastructures (AWS, Azure, GCP). Package and deploy search services using containerization (Docker, Kubernetes) and modern MLOps pipelines. Preprocess and structure unstructured content (clinical trial reports, research articles, regulatory documents). Apply knowledge graphs, taxonomies, and ontologies (MeSH, UMLS, SNOMED) to enhance search results. Develop recommendation systems models, utilizing AI/ML infrastructure and contributing to model optimization and data processing. Implement Generative AI solutions for enriching search content, summarization, deduplication, and metadata quality enhancement. Develop and maintain deep learning models for data quality checks, visual similarity scoring, and content tagging. Research current and emerging technologies to propose improvements. Utilize ML infrastructure for data preparation, optimization, and performance enhancements. Basic Qualifications Degree in Computer Science & Engineering preferred with 6-8 years of software development experience. 2-4 years of experience building AI/ML models, ideally in search, NLP, or biomedical domains. Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers. Experience with search technologies (Elasticsearch, OpenSearch, vector search tools). Solid understanding of NLP techniques (embeddings, transformers, entity recognition, text classification). Hands-on experience with AI models, GCP Search Engines, GCP Cloud services. Proficiency in AI/ML programming languages (Python, Java Crawlers, JavaScript, SQL/NoSQL, Databricks/RDS, Data Engineering, S3 Buckets, DynamoDB). Strong problem-solving and analytical skills. Ability to learn quickly and excellent communication and interpersonal skills. Preferred Qualifications Experience in AI/ML, Java, Python. Proficiency with FastAPI, GraphQL. Strong understanding of design patterns, data structures, data modeling, data algorithms. Experience with AWS/Azure platforms for building and deploying code. Knowledge of Postgres SQL/MongoDB SQL database, vector databases for large language models, Databricks or RDS, S3 Buckets. Deep expertise in LLMs, Generative AI, and their use in enterprise search. Experience with Google Cloud Search, Google Cloud Storage. Familiarity with LangChain, LlamaIndex frameworks for language models. Hands-on experience with prompt engineering and model fine-tuning. NLP knowledge for text analysis and sentiment analysis. Experience in Agile software development methodologies. Strong background in End-to-End testing within a Test-Driven Development approach. Good-to-Have Skills Willingness to work on Full-Stack Applications. Exposure to MLOps tools (MLflow, Airflow, SageMaker). Soft Skills Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented mindset with a focus on achieving team goals. Strong presentation and public speaking skills.

If you feel like you're part of something bigger, it's because you are. At Amgen, our shared missionto serve patientsdrives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve togetherresearching, manufacturing, and deliver ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of. What you will do Let's do this. Let's change the world. In this vital role we are seeking a strategic and hands-on Specialist Software Engineer / AI Engineer Search to lead the design, development, and deployment of AI-powered search and knowledge discovery solutions across our pharmaceutical enterprise. In this role, you'll manage a team of engineers and work closely with data scientists, oncologists, and domain experts to build intelligent systems that help users across R&D, medical, and commercial functions find relevant, actionable information quickly and accurately. Architect and lead the development of scalable, intelligent search systems leveraging NLP, embeddings, LLMs, and vector search Own the end-to-end lifecycle of search solutions, from ingestion and indexing to ranking, relevancy tuning, and UI integration Build systems that surface scientific literature, clinical trial data, regulatory content, and real-world evidence using semantic and contextual search Integrate AI models that improve search precision, query understanding, and result summarization (e.g., generative answers via LLMs) Partner with platform teams to deploy search solutions on scalable infrastructure (e.g., Kubernetes, cloud-native services, Databricks, Snowflake) Experience in Generative AI on Search Engines Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement Building and owning the next generation of content knowledge platforms and other algorithms/systems that create high quality and unique experiences. Designing and implementing advanced AI Models for entity matching, data duplication Experience Generative AI tasks such as content summarization, deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging Continually researching current and emerging technologies and proposing changes where needed Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements Manage and mentor a cross-functional engineering team focused on AI, ML, and search infrastructure Foster a collaborative, high-performance engineering culture with a focus on innovation and delivery Work with domain experts, data stewards, oncologists, and product managers to align search capabilities with business and scientific need Basic Qualifications: Degree in computer science & engineering preferred with 912 years of software development experience Proficient in AI Model, NLM, AI, Python, Elasticsearch OR Solr OR OpenSearch, GraphQL, No SQL, Cloud CI/CD build pipelines, API Proven experience building search systems with technologies like Elasticsearch, Solr, OpenSearch, or vector DBs (e.g., Pinecone, FAISS) Hands-on experience with various AI models, GCP Search Engines, GCP Cloud services Strong understanding of NLP, embeddings, transformers, and LLM-based search applications Proficient in programming language AI/ML, Python, GraphQL, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience deploying ML services and search infrastructure in cloud environments (AWS, Azure, or GCP) Preferred Qualifications: Experience in AI/ML, Java, Rest API, Python Proficient in Databricks, Java Experienced with Fast Pythons API Experience with design patterns, data structures, data modelling, data algorithms Knowledge of ontologies and taxonomies such as MeSH, SNOMED CT, UMLS, or MedDRA Familiarity with MLOps, CI/CD for ML, and monitoring of AI models in production Experienced with AWS /Azure Platform, building and deploying the code Experience in PostgreSQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Experience in Google cloud Search and Google cloud Storage Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Experience with generative AI or retrieval-augmented generation (RAG) frameworks in pharma/biotech setting Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Good to Have Skills Willingness to work on Full stack Applications Experience working with biomedical or scientific data (e.g., PubMed, clinical trial registries, internal regulatory databases) Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, remote teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills

Data Scientist What you will do The Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgen's Quality organization. We are at the forefront of developing and rolling out data-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end-to-end quality transformation. We are seeking a highly motivated and experienced Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization. You will collaborate with cross-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI-driven capabilities that support strategic business objectives. The ideal candidate is an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast-paced, agile environment. Key Responsibilities Design, build, and deploy generative AI and LLM-based applications using frameworks such as LangChain, LlamaIndex, and others. Engineer reusable and effective prompts for LLMs like OpenAI GPT-4, Anthropic Claude, etc. Develop and maintain evaluation metrics and frameworks for prompt engineering. Conduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases. Build retrieval algorithms for relevant data identification to support LLMs and AI applications. Ensure AI/ML development complies with GxP and other regulatory standards, fostering a strong Quality culture. Partner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI. Share insights and findings with team members in an Agile (SAFe) environment. What we expect of you Basic Qualifications: Master's degree and 2 4 years of experience in Software Engineering, Data Science, or ML Engineering or Bachelor's degree and 3 to 5 years of experience in Software Engineering, Data Science, or ML Engineering or Diploma and 7 to 9 years of experience in Software Engineering, Data Science, or ML Engineering Preferred Qualifications: Experience in developing and deploying LLM applications. Strong foundation in ML algorithms, data science workflows, and NLP. Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with MLOps tools (e.g., MLflow, CI/CD, version control). Experience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks. Understanding of RESTful APIs and frameworks like FastAPI. Experience with BI and visualization tools (e.g., Tableau, Streamlit, Dash). Knowledge of GxP compliance and experience working in regulated environments. Strong communication skills with the ability to explain complex topics to diverse audiences. High degree of initiative, self-motivation, and ability to work in global teams.

Meet The Team The Cisco AI Software & Platform Group drives the development of groundbreaking generative AI applications. We empower Cisco's diverse product portfolio, spanning networking and security, with intelligent assistants and agents. We work on pioneering technologies that proactively defend against threats, safeguard critical business assets, and simplify security operations. Fueled by a passion for AI/ML, we strive to create a secure future for businesses. Our collaborative and passionate team thrives with tackling sophisticated challenges and delivering innovative solutions. Your Impact We are seeking a hardworking and passionate Software Engineer to join our growing AI Defense team. In this role, you will play a crucial part in building pioneering generative AI applications that will power innovation across our entire company. You will work closely with data scientists, collaborate with other engineers and multi-functional teams, and give to the development of robust, scalable, and high-performance AI solutions. Develop pioneering AI applications: Design and build innovative generative AI applications that are secure, reliable, and scalable. Translate business needs into technical solutions: Work closely with partners to understand business requirements and translate them into technical specifications and roadmaps. Experiment and innovate: Experiment with different generative AI models and architectures, evaluate their performance, and find opportunities for improvement. Build developer tools: Develop and maintain APIs, SDKs, and other tools that enable seamless integration of AI capabilities into various applications. Instrumentation: Implement the right types of instrumentation to supervise and measure the performance, reliability, and security. Fixing: Debug and fix integration issues, identifying bottlenecks or errors and implementing solutions to optimize service interactions. Scale and Performance Optimization: Work on scale and performance tuning and optimization of different components to ensure efficient, responsive operation for handling large volumes of requests. Collaborate effectively: Work closely with data scientists, researchers, product managers, engineers, and other customers to ensure successful project delivery. Chip in to a strong engineering culture: Participate actively in code reviews, knowledge sharing sessions, and team discussions. Stay ahead of the curve: Continuously learn and stay abreast of the latest advancements in AI/ML research, industry trends, and standard methodologies. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field. 7+ years of professional software development experience using programming languages such as Go, Python or Java Proven experience as a Backend Engineer with expertise in integrating and scaling complex services. Strong foundation in computer science fundamentals, with a focus on data structures, algorithms, and software design principles. Strong understanding of AI service operations, including Generative AI, and the ability to design and build interfaces between them. Experience with instrumentation and monitoring tools for measuring service performance. Excellent problem-solving skills and the ability to solve complex technical issues. Preferred Qualifications: Master's degree in Computer Science, Artificial Intelligence, or a related field is a strong plus. Knowledge of security best practices and compliance standards. Effective collaboration and communication skills to collaborate with multi-functional teams. #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connectionwe celebrate our employees diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! https://jobs.cisco.com/jobs/ProjectDetail/Senior-Software-Engineer-Generative-AI-Go-Python-AWS-Kubernetes-7-11-Years/1442885

RESPONSIBILITIES: Develop and contribute to end-to-end architecture of highly scalable, distributed machine learning solutions for AI/ML/DL/NLP platforms. Contribute to the research and development of advanced generative AI models such as LLMs, SLM’s including GANs, VAEs, autoregressive models, and novel architectures. Deployment of generative AI models, frameworks, and algorithms into scalable REST API services. Conduct research and stay up-to-date with the latest advancements in generative AI to ensure our solutions are at the forefront of the industry. Perform code reviews, identify areas for improvement, and optimize AI models for efficiency and scalability. Collaborate with data scientists and engineers to pre-process and curate datasets suitable for AI applications. Continuously evaluate and improve the performance, accuracy, and reliability of Deep learning and AI models through experimentation and iteration. Work collaboratively with engineering and product development teams and cross-functional partners to ensure timely and successful delivery of generative AI projects, meeting Alstom’s expectations.

A Generative AI Developer needs skills in Python, TensorFlow, PyTorch, and deep learning. Expertise in GANs, VAEs, transformers, NLP, computer vision, and data preprocessing is crucial. Knowledge of cloud platforms

Key Responsibilities: 1. Model Development and Deployment: Design, develop, and deploy generative AI models using cutting-edge techniques and frameworks. Utilize tools like LangChain, LangGraph, LangSmith to enhance model functionality and performance. Build models on complex RAG Architecture & should be able to incorporate AI security by design. 2. Agentic AI and Intelligent Systems: Develop and integrate intelligent agents and agentic AI systems to automate and optimize processes. Collaborate with cross-functional teams to implement agent-based solutions in various applications. 3. Research and Innovation: Stay updated with the latest advancements in AI and machine learning. Experiment with new algorithms and methodologies to improve existing models and systems. 4. Collaboration and Technical Leadership: Work closely with data scientists, software engineers, and product managers to ensure AI solutions meet business needs. Provide technical guidance and mentorship to junior team members. 5. Performance Optimization and Scalability: Optimize models for efficiency, scalability, and robustness in production environments. Monitor and evaluate system performance, implementing improvements as necessary. 6. Documentation and Knowledge Sharing: Document model architectures, processes, and key findings. Share insights and advancements with the team and stakeholders. Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing and deploying generative AI models and machine learning systems. Proficiency in programming languages such as Python, with expertise in frameworks like TensorFlow, PyTorch, or Keras. In-depth knowledge of LangChain, Langraph, LangSmith, Agents, Agentic AI, and MCP. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes). Strong analytical and problem-solving skills. Excellent communication skills and ability to work collaboratively in a tea Mandatory Skills: Generative AI.Experience3-5 Years.

Job description We are having a F2F weekend drive for the requirement of a Data Scientist + Gen AI at our LTIM Hyderabad office. Date - 7th June 2025 Experience - 6+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS, AI/ML, NLP Location - LTIMindtree Hyderabad Office Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment Generic JD- More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

About the Role We are seeking a talented and versatile AI Engineer to join our growing team in Gurugram. This role requires a strong foundation in Artificial Intelligence and Machine Learning with practical experience across a diverse range of AI domains, including Computer Vision, Natural Language Processing (NLP), Machine Translation, Classification, and Generative AI. The ideal candidate will be passionate about developing innovative AI solutions, possess excellent problem-solving skills, and be capable of contributing to the entire lifecycle of AI projects, from research and development to deployment. Key Responsibilities AI Solution Development & Deployment Design and build AI/ML models across domains like Computer Vision, NLP, Machine Translation, Classification, and Generative AI. Develop end-to-end pipelines, from data ingestion and preprocessing to model deployment and monitoring. Write clean, efficient, and well-documented code, primarily in Python. Domain-Specific AI Applications Computer Vision : Build solutions for image recognition, object detection, segmentation, and video analysis using tools like OpenCV, TensorFlow, and PyTorch. NLP : Implement text classification, sentiment analysis, NER, topic modeling, etc., using libraries such as spaCy and Hugging Face Transformers. Machine Translation : Develop and fine-tune neural translation models, and experiment with various translation techniques. Classification Models : Apply and evaluate machine learning classifiers on structured and unstructured data using standard algorithms. Generative AI : Explore use cases in text and image generation using GANs, VAEs, and transformer-based models. Model Evaluation & Optimization Measure model performance using relevant metrics and continuously optimize based on real-world data and feedback. Deploy AI models into production and ensure reliability at scale. Research & Innovation Stay abreast of advancements in AI/ML and contribute ideas for integrating cutting-edge technologies into projects. Experiment with new tools, frameworks, and methodologies to drive innovation. Collaboration & Communication Work closely with cross-functional teams including data scientists, engineers, and product stakeholders. Present technical insights clearly and contribute to peer reviews and team knowledge sharing. Qualification & Functional Skills Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. Minimum of 3+ years of hands-on experience in developing and implementing AI/ML models across multiple domains (Computer Vision, NLP, Translation, Classification, Gen AI). Strong programming skills in Python and experience with relevant AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Transformers, OpenCV, NLTK, spaCy). Solid understanding of fundamental machine learning algorithms and concepts. Experience working with various types of data (image, text, structured data). Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services is a plus. Experience with version control systems (e.g., Git). Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration abilities.

We are seeking an experienced and hands-on Senior Data Scientist with expertise in Generative AI and/or Classical Machine Learning to join our growing AI team. In this role, you will lead the design and development of data-driven solutions , ranging from traditional ML models to cutting-edge GenAI applications that solve real business problems. Key Responsibilities: Develop, validate, and deploy ML models for prediction, classification, recommendation, and other business use cases. Design and build GenAI applications using LLMs (e.g., GPT, LLaMA, Claude) for use cases like summarization, Q&A, content generation, document analysis, etc. Collaborate with stakeholders to translate business problems into data science solutions . Perform EDA, feature engineering , and data preprocessing on structured and unstructured data (text, images, documents). Implement model performance monitoring , drift detection, and retraining strategies. Work with MLOps/engineering teams to ensure scalable, production-grade model deployment. Stay up to date with new GenAI and ML research trends and identify opportunities for business impact. Mentor junior data scientists and support peer review of code, model design, and documentation. Required Qualifications: Education: Masters or Bachelor's degree in Computer Science, Data Science, Statistics, or related field. Experience: 58 years of professional experience in data science , with proven delivery of ML/AI models in production. Technical Skills: Strong programming skills in Python and use of libraries such as Pandas, Scikit-learn, NumPy, TensorFlow, PyTorch. Experience building and fine-tuning ML models for regression, classification, clustering, or time-series forecasting. Hands-on experience with LLMs and GenAI frameworks (e.g., LangChain, Hugging Face Transformers, OpenAI API, RAG pipelines). Exposure to text embeddings, prompt engineering, vector databases (e.g., FAISS, Pinecone, Chroma). Proficient in using SQL and working with large datasets. Familiarity with model deployment tools and practices (Docker, FastAPI, MLflow, Streamlit, or similar). Experience with cloud platforms (AWS, Azure, or GCP) is a strong plus. Preferred Skills: Experience with NLP, Computer Vision , or time-series modeling . Exposure to MLOps workflows (CI/CD, monitoring, pipeline automation). Familiarity with vector search, RAG architecture , and document intelligence workflows. Previous experience in domains like BFSI, healthcare, retail, or enterprise automation is a plus. Key Attributes: Strong business acumen and stakeholder communication. Ability to balance research mindset with production-readiness . Passion for innovation, continuous learning, and cross-functional collaboration. Team player with mentoring and leadership qualities.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.

Job Title : Engineering Manager Location : HSR Layout, Bangalore Employment Type : Full-Time Key Responsibilities : - Oversee the use of deep learning algorithms for a range of applications, such as CNNs, RNNs, and Transformers. - Effectively coordinate cross-functional teams while overseeing the AI project lifecycle from inception to delivery. - Lead the creation, advancement, and implementation of cutting-edge AI technologies, making sure they complement corporate objectives. - Mentor junior team members to foster growth and ensure quality deliverables. Requirements : - Proven experience in managing AI projects and leading technical teams. - Strong knowledge of deep learning architectures, particularly CNNs and Transformers. - Experience in team leadership, mentoring, and fostering a positive work culture. Technical Skills : - Experience in people management - Expertise in data processing, ML systems, MLOps, and infrastructure - 5+ years with cloud tech , DevOps/MLOps. - Strong skills in Python, SQL, and data modeling (DBT is a plus) - Familiar with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras - Experience leading engineering teams in ML adoption Preferred Skills : - Strong project management skills, with experience in Agile methodologies. - Excellent communication and collaboration abilities across technical and non-technical teams. - Contributions to open-source AI projects or a portfolio demonstrating impactful work. What We Offer : - A chance to work on groundbreaking GenAI projects in a fast-paced startup environment. - A supportive and innovative team culture that encourages learning and collaboration.

Job Summary: We are looking for a Senior Software Developer with expertise in modern front-end technologies to design and build scalable front-end solutions. The ideal candidate should have a strong grasp of UI development, performance optimization, and best practices in component-based architecture. Responsibilities: Develop and maintain front-end applications using React.js, Vite.js, TypeScript, and UI libraries. Implement efficient API integrations and optimize performance. Collaborate with backend developers to ensure seamless communication between UI and APIs. Write clean, maintainable, and reusable code following best practices. Optimize applications for speed, scalability, and cross-browser compatibility. Participate in code reviews, debugging, and troubleshooting issues. Stay updated with the latest trends in UI/UX and front-end technologies. Work with GitHub Copilot, ChatGPT, and VS Code for efficient development. Must Have: 5+ years of experience in front-end development. Proficiency in React.js, Vite.js, TypeScript , and UI libraries (MUI, Ant Design, etc.). Experience integrating RESTful and GraphQL APIs. Strong knowledge of state management (Redux, Zustand, React Context API). Good understanding of front-end security best practices. Good to Have: Familiarity with backend technologies such as .NET, C#, Python . Exposure to GenAI technologies. Experience working with GitHub Copilot, ChatGPT, and VS Code . Strong problem-solving skills and ability to work independently.

Role & responsibilities We are looking for Data Scientist position permanent position with US MNC for Remote. Job Posting Title: Data Scientist What does a Data Scientist do? As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the cutting-edge technology market. What you will do: Develop AI-Driven Data Conversion Application: Utilize AI technologies to develop a comprehensive data conversion application. Data Mapping: Implement AI algorithms for accurate data mapping from source to target. Code Generation: Automate code generation using AI models. Data Validation: Apply AI-driven validation techniques to ensure data integrity and quality. Code Conversion: Facilitate seamless code conversion using AI algorithms. Collaboration: Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. Monitor and Troubleshoot: Continuously monitor and troubleshoot the AI-driven application to ensure optimal functionality. Documentation: Maintain detailed documentation of methodologies and processes used in the application development. Stay Updated with Technologies: Keep up-to-date with the latest AI, data science, and data conversion technologies to enhance the application. What you will need to have: Bachelors or Masters Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Knowledge of Data Mapping Techniques: Experience with AI-driven tools and methodologies for data mapping.• Strong Code Generation Skills: Experience in developing AI models for automating code generation. Experience with Data Validation: Implementing AI-based validation techniques. Familiarity with Code Conversion: Understanding AI algorithms for code conversion. Experience with Databases like SQL Server and MongoDB. Collaboration Skills: Ability to work effectively with cross-functional teams. Problem-Solving Skills: Strong ability to identify issues and develop creative solutions. Attention to Detail: Ensure accuracy and reliability of data conversions. 5+ Years of Relevant Experience in data science or a related field. Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: Experience in the Financial Services Industry and an understanding of compliance standards. Certification in Data Science or AI/ML. Experience with Master data management, Data Wrangling and ETL Processes. Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Previous Experience Delivering AI Solutions for complex data or conversions: Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts , Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation

Job description If you are a visionary and technically skilled professional eager to work on cutting-edge AI projects, we invite you to apply for this role. As a Solution Architect, you will play a key role in transforming how AI solutions are designed and implemented for our clients, driving innovation and success. Position: Solution Architect Location: Kochi, Kerala Experience Required: 8-10 years Minimum Qualification: B.Tech or MCA About the Role: We are seeking a skilled Solution Architect to lead the design and implementation of innovative solutions centered around Generative AI. The ideal candidate will have a deep understanding of AI technologies and a proven ability to design scalable, robust systems. You will be responsible for shaping the technical direction of projects, ensuring the successful integration of AI models with business applications, and acting as a technical advisor to both clients and internal teams. Key Responsibilities: Architect and design AI-driven solutions that address client needs, with a focus on Generative AI models. Translate business requirements into robust, scalable technical architectures. Provide technical leadership across all project phases, from solution design to implementation and deployment. Collaborate with clients to understand their challenges and define tailored AI solutions. Lead the integration of AI models into existing platforms, ensuring seamless deployment and system performance. Work closely with development teams to ensure adherence to best practices and the successful execution of project deliverables. Ensure the security, scalability, and maintainability of AI applications. Stay ahead of technology trends in the AI and ML space, integrating new approaches and techniques where applicable. Act as the primary point of contact for technical discussions, solution validation, and troubleshooting with clients. Mentor and guide engineering teams to enhance their skills in AI architecture, solution design, and best practices. Create and maintain architecture documentation and provide continuous feedback to improve solution designs. Engage in pre-sales activities , offering technical expertise to prospective clients and contributing to proposal development. Ensure all AI systems comply with regulatory, security, and business standards. Work with cross-functional teams to evaluate and recommend technologies, platforms, and tools that enhance AI capabilities. Required Qualifications and Experience: Education: B.Tech or MCA. Experience: 8-10 years in designing and implementing technical solutions, with at least 2 years of experience in AI or related fields. Strong background in solution architecture, designing scalable and high-performance systems. Experience in working with AI/ML frameworks such as TensorFlow, PyTorch, or similar. Familiarity with languages and technologies like NodeJS, Python, Angular, MongoDB, and Redis . Solid understanding of agile methodologies and ability to work in a fast-paced, iterative environment. Strong client-facing skills with the ability to present complex technical information in a clear and concise manner. Excellent problem-solving, analytical, and troubleshooting skills. Preferred Qualifications: Experience in Generative AI technologies, including working with models like GPT, DALL-E , or BERT . Experience in cloud architectures, including Azure, AWS, or GCP , particularly in deploying AI solutions at scale. Proven experience in leading multiple teams and ensuring seamless project delivery. A background in AI ethics, model governance, or regulatory compliance is a plus. Location: Kochi, Kerala

Role & responsibilities Lead the development of generative AI applications using OpenAI models, LLMs, and RAG methods to enhance the accuracy and relevance of AI responses. Develop and optimize prompt engineering strategies for specific use cases to improve AI output quality. Build and integrate AI models into scalable applications using serverless architecture and cloud infrastructure (Azure preferred). Implement RAG techniques, combining retrieval of relevant data with LLM responses for accurate and context-aware outputs. Collaborate with product teams to integrate AI capabilities into the broader product ecosystem. Design and implement APIs that leverage AI models for real-time data processing and user interaction. Enhance performance and fine-tune LLMs for high accuracy and relevancy in diverse applications. Manage AI model deployment, monitoring, and improvement processes to ensure long-term scalability. Work on natural language processing (NLP) solutions to improve customer experience through AI-driven features. Ensure adherence to security, privacy, and ethical considerations of AI models. Lead a team of developers and collaborate with data scientists to integrate and optimize AI functionalities. Provide technical guidance and mentorship to junior developers in AI, LLM, and RAG projects. Preferred candidate profile 3-5 years of experience in AI and machine learning development, with a focus on generative AI and LLMs. Extensive experience with OpenAI, GPT models, and RAG methodologies. Expertise in prompt engineering for AI-driven applications. Strong experience in full-stack development with technologies like Python, Azure, and serverless architectures. Proven experience with Azure services such as Azure Container Apps, Azure Data Lake, Azure Cosmos DB, Azure SQL DB, and Azure Data Factory. Knowledge of API design, real-time data processing, and AI model optimization. Hands-on experience with NLP technologies and frameworks. Familiarity with CI/CD pipelines and best practices for continuous deployment and integration. Strong understanding of AI ethics, data privacy, and security considerations in AI-powered applications. Nice to Have: Experience with mobile development frameworks (e.g., CapacitorJS, Ionic). Familiarity with front-end frameworks and design principles (e.g., Material UI). Experience in advanced AI platforms (e.g., Bedrock, Anthropic). Experience in AI-powered chatbots and conversational AI solutions. Benefits: Competitive salary with performance bonuses. Fully remote and flexible working environment. Opportunities to work with cutting-edge AI technologies and innovative product teams. Career growth in a rapidly evolving industry focused on Generative AI and machine learning