4 Llmbased Applications Jobs

We are seeking a dynamic and tech-savvy individual to join us as a Senior Python Developer specializing in Generative AI Applications at Eucloid. As part of our team, you will be tasked with solving intricate problems, adapting to new technologies, and engaging in cutting-edge innovation. In this role, you will be responsible for: - Developing and optimizing Python applications for AI-driven products. - Constructing and integrating LLM-based applications with both structured and unstructured data. - Handling large datasets, AI pipelines, and model inference APIs. - Collaborating closely with AI researchers and engineers to transform concepts into production-ready solutions. - Keeping abreast of emerging AI technologies and contributing to ongoing innovation efforts. The ideal candidate will possess the following qualifications and skills: - Holds an Undergraduate Degree in a quantitative discipline (e.g., engineering, science, economics) from a reputable institution. - Brings over 5 years of experience in Python-based product development. - Demonstrates a solid grounding in data structures, algorithms, and system design. - Exhibits a proven ability to solve complex technical challenges with enthusiasm. - Possesses practical experience with APIs, backend development, and cloud platforms (AWS/GCP/Azure). - While experience in AI, ML, or NLP is a plus, a keen ability to quickly grasp AI frameworks is paramount. - Familiarity with LangChain, OpenAI APIs, or vector databases is advantageous, though not mandatory. Join us at Eucloid and be part of a team that thrives on innovation and embraces the forefront of technology.,

NTT DATA is looking for an AI & LLM Engineer - Digital Engineering Sr. Engineer to join their team in Hyderabad, Telangana, India. As a Software Engineer focusing on LLM & Agentic AI Systems, you will be responsible for designing and constructing intelligent agents utilizing LLMs to autonomously execute tasks through planning, reasoning, and tool utilization. You will also be tasked with developing backend services and APIs to facilitate AI agent workflows and integrations. Additionally, implementing planning frameworks like ReAct, AutoGPT, BabyAGI, LangGraph, and decision-making loops using LLMs will be part of your responsibilities. Testing and optimizing LLM-based applications with tools such as LangChain, LlamaIndex, or Semantic Kernel is also a key aspect of this role. You will create and manage pipelines connecting LLMs to tools, APIs, and databases in real-time, collaborating closely with ML/AI researchers, data engineers, and product teams to deliver LLM-powered experiences. NTT DATA is a renowned global innovator of business and technology services with a commitment to assisting clients in innovating, optimizing, and transforming for long-term success. As a Global Top Employer, NTT DATA boasts a diverse team of experts across more than 50 countries and a robust partner ecosystem. Their services encompass business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is at the forefront of providing digital and AI infrastructure globally, and as part of the NTT Group, they invest significantly in R&D annually to facilitate organizations" transition into the digital future confidently and sustainably. For more information, visit us at us.nttdata.com.,

We are seeking a dynamic and tech-savvy individual to join our team as a Senior AI Engineer - GenAI at Eucloid. As the successful candidate, you will be responsible for solving intricate problems, adapting to new technologies, and operating at the forefront of innovation. Your primary responsibilities will include: - Developing and optimizing Python applications for AI-driven products - Building and integrating LLM-based applications with both structured and unstructured data - Working with extensive datasets, AI pipelines, and model inference APIs - Collaborating with AI researchers and engineers to transform concepts into production-ready solutions - Staying abreast of emerging AI technologies and actively contributing to continuous innovation The ideal candidate should possess the following Background and Skills: Background: - Hold an Undergraduate Degree in a quantitative discipline such as engineering, science, or economics from a Top-Tier institution - Have over 5 years of experience in Python-based product development - Exhibit a solid understanding of data structures, algorithms, and system design - Demonstrate exceptional problem-solving skills and a passion for overcoming complex technical challenges - Possess hands-on experience with APIs, backend development, and cloud platforms (AWS/GCP/Azure) - Prior experience in AI, ML, or NLP is advantageous, but a keen ability to quickly grasp AI frameworks is essential - Exposure to LangChain, OpenAI APIs, or vector databases is beneficial, though not mandatory This position offers an attractive compensation package (Base + Bonus) and is located in Chennai. If you are interested in applying, please contact us at careers@eucloid.com.,

You should have 6-10+ years of experience in AI/ML development, including at least 3 years of hands-on experience in Generative AI, RAG frameworks, and Agentic AI systems. As a Generative AI Engineer, you will be responsible for designing, developing, and optimizing RAG pipelines using frameworks such as LangChain, LlamaIndex, or custom-built stacks. You will also implement Agentic AI architectures involving task-based agents, stateful memory, planning-execution workflows, and tool augmentation. Additionally, you will perform model fine-tuning, embedding generation, and evaluation of LLM outputs while incorporating human and automated feedback loops. Building and enforcing guardrails to ensure safe, compliant, and robust model behavior will be a crucial part of your role, including prompt validation, output moderation, and access controls. Collaboration with cross-functional teams to deploy solutions in cloud-native environments such as Azure OpenAI, AWS Bedrock, or Google Vertex AI will also be expected. Furthermore, you will contribute to system observability via dashboards and logging, as well as support post-deployment model monitoring and optimization. To excel in this role, you must have proven production experience with RAG frameworks like LangChain, LlamaIndex, or custom-built solutions. A solid understanding of Agentic AI design patterns, strong expertise in LLM fine-tuning, vector embeddings, evaluation strategies, and feedback integration are essential. Experience with implementing AI guardrails, proficiency in Python, LLM APIs (OpenAI, Anthropic, Cohere, etc.), and vector database integration are also required. Familiarity with CI/CD pipelines, API integrations, and cloud-native deployment patterns is a plus. Preferred qualifications include experience working on AI projects in regulated environments (Banking domain), hands-on experience with cloud AI platforms like Azure OpenAI, AWS Bedrock, or Google Vertex AI, knowledge of prompt engineering, RLHF, and LLM observability frameworks, as well as experience building or leveraging internal LLM evaluation harnesses, agent orchestration layers, or compliance dashboards.,