9 Adk Jobs

The role involves working on Agentic AI Platform Delivery where you will be responsible for developing and maintaining autonomous software agents using modern LLM frameworks. You will also be required to build reusable components for business process automation, design agent orchestration, prompt engineering, and LLM integrations, as well as enable deployment across CRM systems and enterprise data platforms. Additionally, you will work on Generative AI & Model Optimization by fine-tuning LLMs/SLMs with proprietary NBFC data, and focusing on model distillation, quantization, and edge deployment readiness. Moreover, you will be creating self-learning systems by developing adaptive frameworks that learn from interaction outcomes and implementing lightweight models to support real-time decision-making. The ideal candidate for this position should hold a B.E./B.Tech/M.Tech degree in Computer Science or a related field, with a minimum of 3-7 years of experience in AI/ML roles. Proficiency in languages such as Python, Node.JS, JavaScript, React, and Java is required, along with experience in using tools/frameworks like LangChain, Semantic Kernel, LangGraph, and CrewAI. Familiarity with platforms such as GCP, MS Foundry, Copilot Studio, BigQuery, and Power Apps/BI is essential. Knowledge of Agent Tools like Agent Development Kit (ADK) and Multi-agent Communication Protocol (MCP), as well as a strong understanding of prompt engineering, LLM integration, and orchestration, are also expected. In addition to the technical requirements, the candidate should possess strong communication skills, teamwork abilities, and problem-solving capabilities. Being proactive, detail-oriented, and able to work under pressure are desirable traits for this role. Joining this dynamic team at Bajaj Finance Limited offers numerous perks, benefits, and a vibrant work culture. The company values its employees and recognizes their contributions, making it a rewarding and challenging environment to grow and excel. With a presence in over 500 locations across India, you will have the opportunity to be part of one of Asia's top 10 Large workplaces and contribute to the success and innovation of a leading Non-banking financial company.,

We’re building an Agentic AI Platform that lets enterprises solve real business problems using Agentic AI workflows. From utility operations to legal document review; our mission is to let AI agents think, act, and deliver; fast, secure and locally. We’re looking for an Agentic AI Engineer who’s hungry to learn and ship. If you’re ready to build with cutting-edge frameworks like Lang Chain, CrewAI, Lang Graph, Google ADK and more and can translate real enterprise problems into intelligent multi-agent workflows, this role is for you. What You’ll Do Build and deploy AI agents using open-source agentic frameworks Explore and integrate models from OpenAI, Mistral, Gemini, Llama, Claude, etc. Use tools like Retrieval-Augmented Generation (RAG), knowledge graphs, and vector stores Work with product managers and domain experts to solve real problems (not just prototypes) Continuously test and refine agent behavior across different enterprise domains (utilities, legal, marketing, supply chain) Actively contribute to evolving our proprietary DataInsightAI platform Must-Have Skills At least 1+ years of hands-on experience implementing a enterprise level Gen AI project that has gone live. Strong Python skills (Async, FastAPI, LangChain/CrewAI or similar) Experience working with LLMs (OpenAI, Llama, Claude, Gemini, etc.) Familiar with agentic AI workflows, prompt chaining, and tool use Understanding of RAG, vector databases (like FAISS, Qdrant, Weaviate) Curiosity-driven mindset, fast learner, hands-on coder Ability to simplify complex problems and build MVPs fast Nice to Have Worked on multi-agent architectures or fine-tuned LLMs Used graph databases (Neo4j) or custom knowledge stores Experience deploying on Azure/AWS/GCP Familiarity with LangGraph or Google ADK Why Join Us? Work on cutting-edge agentic AI every day Be part of a lean team with real ownership Ship fast and solve real enterprise challenges Backed by InTimeTec, with a strong AI/ML engineering culture

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join their team in Hyderabad, Telangana (IN-TG), India. As a part of this inclusive and forward-thinking organization, you will need to have 4+ years of Software Engineering experience or equivalent demonstrated through various means such as work experience, training, military experience, or education. The ideal candidate should have at least 2+ years of working experience with GCP (Google Cloud Platform) or alternate public/hybrid cloud, with a proven track record of delivering products at scale using cloud services and architectures. Additionally, you should possess 2+ years of experience with Python and 3+ years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. Exposure to Playbooks, Vertex AI, ADK, and Voice AI is also required. It would be beneficial to have knowledge of LangChain and/or LangGraph, and 4+ years of experience in the Contact Center industry, specifically in design, development, testing, integration with vendors, CRMs, and business applications. Proficiency in IVR/IVA, NLU/NLP, Real-Time Omni-channel Agent experience, and customer journey optimization using AI/ML is a plus. Furthermore, familiarity with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, NoSQL Databases (Cassandra or Mongo), Graph Databases, and Public Cloud Marketplace services is desirable. Experience with Deep Domain Driven Design and cloud-native Microservices designed for massive scale and seamless resiliency on platforms like PCF/VMWare Tanzu, K8s, or Serverless cloud technologies will be an advantage. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has diverse experts in over 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 also a leading provider of digital and AI infrastructure worldwide, committed to helping clients innovate, optimize, and transform for long-term success. If you are an exceptional, innovative, and passionate individual looking to grow with a prestigious organization, apply now to be a part of NTT DATA's dynamic team.,

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join the team in Hyderabad, Telangana, India. As a potential candidate, you should have at least 4 years of Software Engineering experience or equivalent, demonstrated through work experience, training, military experience, or education. To be considered for this role, you must have a minimum of 2 years of experience working with GCP (Google Cloud Platform) or alternate public/hybrid cloud, with a proven track record of delivering products using cloud services and architectures at scale. Additionally, you should have at least 2 years of experience with Python, and 3 years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. Experience with Playbooks and Vertex AI is required, along with exposure to ADK and Voice AI. Knowledge of LangChain and/or LangGraph is considered a plus. Furthermore, candidates with 4+ years of Contact Center industry experience, including design, development, testing, integration with vendors, CRMs, and business applications, are preferred. Familiarity with IVR/IVA, NLU/NLP, Real-Time Omni channel Agent experience, customer journey, and CX/AX optimization using AI/ML is advantageous. Proficiency in Node JS, JAVA, Spring Boot, Kafka, Distributed Caches, Elastic Search technologies, GraphQL, and NoSQL Databases is beneficial. Experience with Graph Databases and Public Cloud Marketplace services is also a plus. Deep Domain Driven Design experience with cloud-native Microservices designed for massive scale and seamless resiliency is desirable, preferably deployed on PCF/VMWare Tanzu, K8s, or Serverless cloud technologies. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. The company is committed to helping clients innovate, optimize, and transform for long-term success. NTT DATA has a diverse team of experts in more than 50 countries and collaborates with a robust partner ecosystem. Their services encompass business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. As a leading provider of digital and AI infrastructure, NTT DATA is dedicated to advancing organizations and society into the digital future confidently and sustainably.,

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join their team in Hyderabad, Telangana, India. As a potential candidate, you should have at least 4 years of Software Engineering experience or equivalent demonstrated through various means such as work experience, training, military experience, or education. It is essential to have a minimum of 2 years of experience working with GCP (Google Cloud Platform) or alternate public/hybrid cloud, delivering products with cloud services and cloud architectures at scale. In addition, you should have 2+ years of experience with Python and 3+ years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. Furthermore, 1+ years of experience with Playbooks and Vertex AI is required for this role. Exposure to ADK (hands-on) and Voice AI is a must. While not mandatory, having experience with LangChain and/or LangGraph is considered a plus. Additionally, 4+ years of Contact Center industry experience would be advantageous, including design, development, testing, integration with vendors, CRMs, and business applications. Proven knowledge in contact center subdomains such as IVR/IVA, NLU/NLP, Real-Time Omni-channel Agent experience, customer journey, and CX/AX experience optimization using AI/ML is beneficial. Moreover, familiarity with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, and NoSQL Databases (Cassandra or Mongo), Graph Databases, Public Cloud Marketplace services is a good-to-have skill set. Experience with Deep Domain Driven Design with cloud-native Microservices designed and developed for massive scale and seamless resiliency, deployed on PCF/VMWare Tanzu, K8s, or Serverless cloud technologies for at least 2 years is also an added advantage. NTT DATA is a trusted global innovator of business and technology services, with a commitment to helping clients innovate, optimize, and transform for long-term success. Being a part of NTT DATA means being part of a diverse team of experts in over 50 countries, with a robust partner ecosystem. Their services include 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 a leading provider of digital and AI infrastructure globally, and as part of the NTT Group, they invest significantly in R&D to help organizations and society move confidently and sustainably into the digital future. Visit their website for more information.,

Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. Primary Responsibilities: The roles in this function will cover all primary development activity across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product roadmaps These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery With every role in the company, each position has a requirement for building quality into every output This also includes evaluating new tools, new techniques, strategies; Automation of common tasks; build of common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways Basic, structured, standard approach to work Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Graduation 3+ years of experience in Python 2+ years of experience in AI ML Cloud PlatformsHands-on experience with GCP, Azure, or AWS for deploying AI applications Containerization and OrchestrationExperience with Docker and Kubernetes Database ExpertiseKnowledge of vector databases (e.g., Redis, ChromaDB) and traditional SQL & NoSQL databases Generative AI ToolsFamiliarity with LLMs, Google ADK, Anthropic MCP, and multi-agent frameworks AI ExpertiseSolid understanding of classical ML, deep learning, and Generative AI technologies Programming LanguagesProficiency in Python and experience with FastAPI (asynchronous implementation) Logging ToolsProficiency in Splunk for logging and diagnostics Performance OptimizationProven ability to conduct performance testing and optimize backend systems Preferred Qualifications: Experience in prototyping and deploying AI-driven applications in production environments Knowledge of ReAct frameworks for multi-agent AI systems Familiarity with CI/CD pipelines and DevOps practices Understanding of ethical AI practices and governance frameworks Proven solid problem-solving skills and ability to address challenges in cloud deployment and backend optimization At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #Nic

Were seeking a seasoned AI/ML Developer to join our tech team and help build next-generation GenAI products and scalable AI-powered APIs. You’ll architect and deploy intelligent workflows on Google Cloud Platform, integrate cutting-edge LLMs, and design real-time intent-detection systems across multiple user journeys. Key Responsibilities Model Development & Deployment: Build, train and deploy AI/ML models using GCP’s ADK and Vertex AI. Implement prompt-engineering strategies for large language models (e.g., Gemini). Vector Search & Retrieval: Design and maintain vector search pipelines on GCP. Integrate with LangChain and other tools for context-aware retrieval. API & Backend Engineering: Develop secure, scalable RESTful APIs using FastAPI and Python. Automate deployments via GitHub CI/CD workflows. Intent-Detection Systems: Architect multi-flow intent-detection pipelines with high accuracy. Continuously monitor and optimize model performance. Cloud Infrastructure & Security: Enforce best practices for secure, scalable GCP services. Collaborate with DevOps to ensure reliable, automated infrastructure. Collaboration & Documentation: Work closely with cross-functional teams (DevOps, Product, QA). Maintain clear technical documentation and share knowledge. Required Skills & Qualifications: AI/ML Expertise: 4+ years hands-on with AI/ML solutions in production. Proficiency with GCP services: Vertex AI, ADK, Firestore. Vector Search & LLM Integration: Experience building vector search pipelines on GCP. Strong familiarity with Gemini, LangChain, or similar LLM frameworks. Backend Development: Advanced Python skills; production experience with FastAPI. Solid understanding of REST principles, authentication, and security. DevOps & Automation: GitHub Actions (or equivalent) for CI/CD. Infrastructure as Code (Terraform, Deployment Manager, etc.). Intent Detection & NLP: Track record of building intent-classification or NLU systems. Familiarity with metrics and A/B testing for conversational AI. Soft Skills: Excellent problem-solving and analytical abilities. Strong communication skills and a collaborative mindset.

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: 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 Experience with Google ADK (preferred but not mandatory) AutoGen, and OpenAI APIs Strong verbal and written communication skills 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

SAP R/3 Data Archiving & Information Lifecycle Management tools, Document Archiving and Printlist Archiving SAP Legacy decommissioning using Dart, SAP ILM software & Open Text. Configure Retention policies, Audit policies based on legal requirements across countries with ILM system. Configure ILM technical configuration, Retention warehouse, extraction methods etc. Should have been involved in at least 2 end to end SAP Archival implementation and worked as a Consultant on SAP Archiving activities. Understand Business processes and Map or identify the archive objects required. Experience in Retention policy management Expert in Creating archive files and snapshots Experience/Knowledge in data destruction Database growth Analysis, Planning the Archiving strategy, Techno-functional knowledge of the data dependent tables for different modules in SAP. Implementation of Print List Archiving, implementation of Document Archiving, Implementation of Archiving object. Scheduling of archiving jobs and monitoring job logs. Prepare archiving statistics. Monitor System performance and implement correction notes as applicable Proficiency in SAP ILM configuration, ArchiveLink, ADK files, and ILM-certified storage systems. Understanding of SAP Basis and HANA database concepts. Familiarity with integration tools and technologies (e.g., OpenText, Content Server). Preferred Certifications: SAP Certified Technology Specialist - SAP ILM SAP Certified Application Associate - Data Archiving and ILM Key Deliverables: Successful implementation of ILM solutions tailored to business needs. Reduced system downtime and storage costs. Compliance with legal and regulatory requirements for data management.