6 Llm Solutions Jobs

Role overview Experience : 10- 18 10 plus years experience in software development with at least the last few years in a leadership role with progressively increasing responsibilities 2. Extensive experience in the following areas Proficient in C#, .NET framework, Python Knowledgeable in Angular / React / Node Designing and building cloud-native solutions (Azure, AWS, Google Cloud Platform) Well versed with LLM solutions, RAG, Vectorization Containerization and orchestration technologies (Docker, Kubernetes) Experience in native and third-party Databricks integrations (Delta Live Tables, Lakeflow, Databricks Workflows / Apache Airflow, Unity Catalog) Experience designing and implementing data security and governance platform adhering to compliance standards (HIPPA, SOC 2) preferred Specific Job Knowledge, Skill and Ability Demonstrated success in effectively communicating at all levels of an organization Deep understanding and knowledge on developing products using Microsoft Technologies Ability to lead through influence rather than direct authority Demonstrated successful time management and organization skills Ability to manage and work with a culturally diverse population Ability to work well and productively, always projecting a positive outlook in a fastpaced, deadline-driven environment Ability to anticipate roadblocks, diagnose problems and generate effective solutions Knows how to organize a software development team to maximize quality and output Will promote and encourage opportunities for personal and professional growth in employees Understands how to use metrics to drive process improvements What would you do here Duties and Responsibilities Function as a key member of the software engineering team, leading software engineering development initiatives for LogixHealths internally developed applications 2. Provide decisive and effective technical leadership for all development efforts Develop solution blueprint for all new features and products, bringing in design patterns and latest development guidelines Lead, mentor, and advise the software engineering team. Drive technical debt reduction, design and code reviews, best practice development Consult with infra team on architecture and cost optimization for applications Lead modernization of application and data platform, introducing automation and AI use across all platforms and development methodologies Lead and contribute to the creation of a self-service platforms for software development, infrastructure, and data analytics. Hands-on to take complex development tasks, prototypes, troubleshooting Collaborate with engineers, product, and business leaders to ensure platforms are integrated with other systems and technologies. Participate in development process by identifying potential weak points. Lead solutions development using technical judgment, input from experts and the involvement of other systems development partners as appropriate Clearly and consistently communicate product vision to the team. Guide the team to achieve this vision Show more Show less

As a Senior Systems Integrator Lead, you will play a crucial role in spearheading the integration of cutting-edge LLM solutions with diverse enterprise systems. Your responsibilities will include designing and overseeing complex integration strategies, mentoring and guiding development teams, and remaining hands-on in architecting, building, and deploying integration solutions. You will establish and enforce integration standards, development workflows, and quality assurance processes while optimizing LLM integration performance and integrating multi-modal AI into existing business workflows. Your expertise in systems integration, AI integration, and architecture will be instrumental in implementing complex integration solutions using APIs, message queues, ETL/ELT pipelines, and event-driven architectures. You will design and maintain microservices-based integration layers, architect cloud-native solutions, and ensure secure and efficient data flow between systems. Additionally, you will be responsible for building front-end applications using React.js, designing and implementing RESTful and GraphQL APIs, and implementing real-time features for AI interactions. Collaboration with cross-functional teams, technical documentation creation, and knowledge sharing sessions will also be key aspects of your role. To be successful in this role, you should have 6-8+ years of systems integration experience with 2+ years in technical leadership roles. You must possess deep experience in LLM integration, Generative AI implementations, and AI/ML pipeline development. Proficiency in LLM integration expertise, integration technologies, cloud platforms, React.js, database integration, DevOps, monitoring, software architecture, security, compliance, and performance engineering is essential. Strong technical communication skills, problem-solving abilities, and adaptability in fast-paced environments are also required. Preferred qualifications include experience with vector databases, semantic search implementations, prompt engineering frameworks, AI agent architectures, enterprise software integration, infrastructure-as-code, and AI/ML product development or consulting. In summary, as a Senior Systems Integrator Lead, you will bring technical expertise, leadership skills, strategic thinking, a hands-on mentality, and an innovation mindset to tackle the most complex integration challenges and drive cutting-edge AI integration patterns.,

You will be working as an AI Engineer specializing in Localization within the AI/ML business unit based in Bangalore. With 2-5 years of experience and a degree in B.E / B.Tech / MS in computer science, you will have the following roles and responsibilities: - As an AI engine creator, you will be involved in training new models, integrating existing models, and applying transfer learning techniques. - Join a dynamic team working on cutting-edge AI solutions for the Media and Entertainment industry. Contribute actively to the development and enhancement of new AI solutions. - Collaborate with Gen AI / LLM solutions, focusing on prompt engineering and prompt optimization for optimal results extraction. - Develop sophisticated solutions that simplify complexity for customers while ensuring cost-effectiveness and efficiency. - Fine-tune accuracies and explore innovative approaches to enhance hypothesis without overfitting. - Demonstrate the ability to handle ambiguity and take the lead in solving industry challenges with little historical reference. - Provide technical and thought leadership within the team. - Possess hands-on experience in Localization, Speech to text, Transcription, and Translation. - Expertise in Computer vision, Open CV, TensorFlow, PyTorch, Python, Neural networks, CNNs, GenAL, Generative AI, LLMs, Prompt engineering, AWS or Azure cloud, Dockers, and K8s/Kubernetes is essential. - Knowledge of GANs, Nano models, Google LLMs (Bard, Gemini), and Hugging face models (Mistral, etc) would be an additional advantage. In addition to your responsibilities, you may also be involved in inventing and patenting new technologies to further enhance AI solutions in the industry.,

We are looking for a versatile Technical Architect with specialized knowledge in Large Language models, Generative AI, as well as Full-Stack Cloud Native Application Development and Cloud Engineering to be a part of our innovative product development team. As a Technical Architect, your main responsibility will be to contribute significantly to the development of strategic platforms, cutting-edge products, and creative solutions for our clients. This will involve leveraging the capabilities of LLMs, Generative AI, and Agentic AI in conjunction with Cloud Solutions and Cloud Native Full Stack Application Development. Your key focus areas will include defining technical architecture and solution design for custom product development to deliver impactful and innovative solutions that enrich our product range. The ideal candidate will possess a robust architecture background, a drive to explore the frontiers of technology, and a willingness to acquire new skills and technologies rapidly. Moreover, the ideal candidate will blend product development and cloud architecture expertise with contemporary Generative AI and LLM Solution Architecture and Design proficiencies. Key Skills Required: - Proficiency in Full Stack MERN App Development, encompassing Front-End and Back-End Development, API Development, and Micro Services. - Experience in Azure Cloud Native App Development and Cloud Solutions is essential. - Familiarity with AWS Cloud Native App Development and AWS Cloud Solutions is desirable. - Expertise in LLM Solutions and LLM App Development. - Knowledge of AI Agents, Agentic AI Workflows, and Enterprise Integrations. - Competency in Generative AI, Multi Modal AI, and Creative AI, including working with Text, Imagery, Speech, Audio, and Video AI. Responsibilities: - Establishing Cloud Architecture for cloud solutions and cloud-native app development. - Defining Technical Architecture for full-stack application development and bespoke product development. - Leading the translation of business and product requirements into technical architectures that balance architectural quality, scalability, cost-effectiveness, maintainability, and suitability for the intended purpose. - Collaborating with senior technology and engineering stakeholders to shape, define, refine, validate, review, and optimize proposed architectures. - Working with solution architects, development leads, full-stack developers, engineers, and quality engineers to develop and integrate solutions into existing enterprise products. - Collaborating with cross-functional teams to develop and validate client requirements and quickly translate them into functional solutions. - Utilizing best practices in architecture to shape and validate proposed solutions. - Guiding solution design for scalable AI-enabled products, cloud-native apps, and cloud solutions. - Overseeing the technical delivery of applications involving Cloud Platforms, Cloud Native Apps, and Cloud AI Services. - Leading the solution tech design and promoting the adoption of appropriate design patterns and best practices across all layers of the application stack. - Designing enterprise products and full-stack applications on the MERN stack with a clear separation of concerns across layers. - Creating web apps and solutions that leverage LLM models and Generative AI workflows. - Leveraging Multi Modal AI capabilities to support all content types and modalities such as text, imagery, audio, speech, and video. - Continuously researching and exploring emerging trends and techniques in Generative AI and LLMs to remain at the forefront of innovation. - Leading product development and delivery within demanding timelines. - Engaging hands-on with code and guiding hands-on development Proof of Concepts (PoCs) to validate new ideas, shape new solutions, and provide direction to the development team. Skills and Competencies: Must-Have Capabilities: - Expertise in architecting and designing full-stack applications using the MERN stack (JavaScript) for both client-side and server-side applications. - Strong knowledge of architecting and designing full-stack applications using Python-based development, including Python Apps for LLM integration. - Proficiency in programming languages and key design patterns for both front-end and back-end development. - Previous experience leading solution design across front-end and back-end development. - Experience in solution design across Data Processing, Data Integration, API integration, Enterprise Systems Integration, and Workflow Design. - Experience in designing scaled Gen-AI solutions in Production, including the use of LLMs and Multi Modal AI. JavaScript / MERN Stack Competencies: - Minimum 8 years of hands-on experience in designing and building Full-Stack MERN apps using client-side and server-side JavaScript. - Strong solution design experience across Front-End Web Apps and Web Development, especially apps built on React.js. - Strong solution design experience with API Definition and Design, Micro Services Architecture best practices, and microservices solution design. - Hands-on experience with Node.js and related server-side JavaScript frameworks (e.g., Express.js, Nest.js). - Experience in deploying full-stack MERN apps to a cloud platform like Azure. - Working experience with Server-side JavaScript Frameworks for building Domain-driven Micro Services, including Nest.js and Express.js. - Experience with BFF frameworks such as GraphQL. - Experience with API Management and API Gateways. Gen-AI / LLM Apps with Python Competencies: - Minimum 5 years of hands-on experience in designing and building Python-based apps and solutions. - Minimum 2+ years of hands-on experience in designing scaled Gen-AI solutions with LLMs and LLM models. - Strong experience in designing custom data solutions in Python, including data processing pipelines, data workflows, and integrating customer and enterprise datasets to enhance LLM knowledge. - Solid experience in designing end-to-end RAG pipelines using advanced pre-processing, chunking, embedding, and ranking techniques to enhance LLM output quality. - Solid experience in designing LLM Pipelines that integrate structured and unstructured datasets from various sources. - Good experience in designing AI-enabled workflows that automate content, creativity, and business processes. - Hands-on experience in Conversational AI solutions and chat-driven experiences. - Hands-on experience with multiple LLMs and models like GPT-4o, GPT o1, o3 mini, Google, Gemini, Claude Sonnet, etc. - Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI, and preferably AWS Bedrock and/or GCP Vertex AI. - Experience in designing solutions utilizing AI Assistants and threaded messages to orchestrate with LLMs. - Experience working with AI Agents and Agent Services. - Experience in building Agentic AI workflows for iterative improvement of outputs. - Experience in evaluating and enhancing AI outputs. Multi Modal AI Competencies: - Experience in designing intelligent document processing and document content extraction pipelines. - Experience in utilizing Multi Modal AI models for Imagery and Visual Creative, including LoRA models. - Experience in Computer Vision and Image Processing using Multi Modal AI. - Experience in leveraging Multi Modal AI for Speech, including Text to Speech and Custom Speech training. - Experience in using partner APIs to orchestrate across various Multi Modal AI models. - Ability to lead a team of development leads for delivering Full-Stack MERN Apps and Products/Solutions based on LLMs and LLM models. Nice-to-Have Capabilities: MERN Stack and Cloud-Native App Development: - Experience in working with a Federated Graph architecture. - Experience in working with container apps and containerized environments. - Working experience with Web Components and Portable UI components. Python / ML LLM / Gen-AI App Development: - Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions and frameworks. - Experience with different Agent communication and chaining patterns. - Ability to utilize LLMs for Reasoning and Planning workflows that enable automated orchestration across multiple applications and tools. - Ability to use Graph Databases and Knowledge Graphs as an alternative or replacement for Vector Databases to enable more relevant semantic querying and outputs via LLM models. - Solid background in Machine Learning solutions. - Fundamental understanding of Transformer Models. - Some experience in custom ML model development and deployment. - Proficiency in deep learning frameworks like PyTorch or Keras. - Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent,

As a Technical Architect at our organization, you will be an integral part of our dynamic product development team, bringing your deep expertise in Large Language models (LLMs) and Generative AI, along with Full-Stack Cloud Native Application Development and Cloud Engineering skills. Your role will involve developing strategic platforms, cutting-edge products, and innovative solutions for our clients by combining the power of LLMs, Generative AI, and Agentic AI with Cloud Solutions and Cloud Native Full Stack Application Development. Your primary responsibility will be to define technical architecture and solution design for bespoke product development, creating impactful solutions that enhance our product portfolio. The ideal candidate will possess a strong architecture background, a passion for technology innovation, and the ability to quickly acquire new skills and technologies. You will also need to merge product development and cloud architecture skills with modern Generative AI and LLM Solution Architecture and Design expertise. Key Skills required for this role include: - Full Stack MERN App Dev, Front-End + Back-End Development, API Dev, Micro Services - Azure Cloud Native App Dev, Cloud Solutions - AWS Cloud Native App Dev, AWS Cloud Solutions - LLM Solutions, LLM App Dev - AI Agents, Agentic AI Workflows - Enterprise Integrations - Generative AI, Multi Modal AI, Creative AI - Working with Text, Imagery, Speech, Audio, and Video AI Your responsibilities as a Technical Architect will encompass: - Cloud Architecture for cloud solutions and cloud-native app development - Technical Architecture for full-stack application development and bespoke product development - Leading the translation of business and product requirements into technical architectures - Collaborating with senior technology stakeholders to shape and optimize proposed architectures - Developing and integrating solutions into existing enterprise products - Guiding solution design for scalable AI-enabled products, cloud-native apps, and cloud solutions - Leading the technical delivery of applications involving Cloud Platforms, Cloud Native Apps, and Cloud AI Services - Designing enterprise products and full-stack applications on the MERN stack - Researching emerging trends in Generative AI and LLMs - Leading product development and delivery within tight timelines - Being hands-on with code and providing direction to the development team Skills and Competencies required for this role: Must-Have capabilities: - Strong expertise in architecting and designing full-stack applications using the MERN stack and Python - Prior experience of leading solution design across front-end and back-end development - Strong solution design experience with API Definition, Micro Services Architecture, and Gen-AI solutions - Competencies in JavaScript / MERN stack, including React.js, Node.js, Express.js, GraphQL, and API Management - Competencies in Gen-AI / LLM Apps with Python, designing scaled Gen-AI solutions, and leveraging AI workflows - Competencies in Multi Modal AI, including Visual Creative, Computer Vision, and Speech processing Nice-to-Have capabilities: - Experience with Federated Graph architecture, containerized environments, and Web Components - Hands-on experience with ML LLM / Gen-AI App Dev, Agent Orchestration, and Graph Databases - Proficiency in deep learning frameworks such as PyTorch or Keras, and Cloud ML Platforms like Azure ML Service Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent,

Looking for a highly motivated and self-driven AI Experienced Leader to head the AI and Gen AI practice and solution with the objective of designing and implementing AI and Gen AI based solutions for customers" business problems. As an AI Solution Consultant, you will be responsible for understanding customer needs and proposing AI and Gen AI empowered practical in-depth solutions for solving business problems. Additionally, as an AI Practice Head, you will be required to research industry evolution in AI and Gen AI areas to identify practical differentiating solutions for solving business problems through AI and Gen AI. In the role of AI Solution Architect, you will define the architecture, design the solutions, and implement AI and Gen AI based solutions for customer programs. You will also be expected to inspire, mentor, and build a strong Data Scientist practice & delivery team to execute complex AI and Gen AI programs for various customers. Conducting architecture reviews, design workshops, and code reviews in collaboration with AI Data Scientists and Cloud Engineers will be part of your responsibilities. Furthermore, applying statistics, modeling, and machine learning to enhance the efficiency of systems and relevance algorithms across our business application products. Requirements: - Bachelor's degree or Master's degree in Computer Science / AIML / Data Sciences - 10+ years of overall experience with hands-on experience in designing and implementing Machine Learning models, Deep Learning models for solving business problems - Expertise in R, Python (NumPy, Scikit-learn + Pandas), TensorFlow, PyTorch or MLlib and LLM solutions - Excellent problem-solving and analytical skills with the ability to translate business requirements into data science solutions - Good experience in building complex and scalable Machine Learning solutions and practically using them in production - Experience with scripting in SQL for extracting large datasets and designing ETL flows - Deep interest and aptitude in data, metrics, analysis, trends, and applied knowledge of measurement, statistics, and program evaluation - Capability of translating analysis results into business recommendations - Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.,