297 Agentic Ai Jobs - Page 11

About Us: At Novus Loyalty, we are committed to building cutting-edge AI-driven solutions that enhance business performance and user experience. We are currently seeking a skilled and passionate AI Engineer to join our team, with a strong emphasis on Azure AI technologies. Key Responsibilities: Design, develop, and deploy AI models using Azure AI services. Work on various AI domains, including Generative AI, Agentic AI, and other advanced ML models. Collaborate with cross-functional teams to integrate AI solutions into production environments. Conduct data analysis and preprocessing to support model development. Monitor and optimize AI model performance and accuracy. Stay up-to-date with emerging AI technologies, tools, and best practices. Required Qualifications: Minimum 3 years of hands-on experience in AI/ML model development. Proven experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Azure OpenAI). Strong programming skills in Python or other relevant languages. Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with large language models (LLMs), NLP, or generative AI applications is a plus. Familiarity with MLOps practices and cloud-based model deployment. Excellent problem-solving and communication skills.

What you bring Required Skills & Experience: Bachelors degree or above in a relevant field. At least 8 years of work experience in AI-related fields. Proven AI product development experience. Proficiency in writing prompts. Experience in Agentic AI, Knowledge Graph and etc. Understanding of large language model principles. Strong programming skills. Problem-solving ability. Familiarity with data processing and analysis. Familiarity with cloud computing platforms like AWS, Azure. Eagerness to learn new AI technologies and strong learning ability. Good teamwork and communication skills. Excellent English communication skills.

About this role: Wells Fargo is seeking a Senior Lead business execution consultant In this role, you will: Act as a Business Execution advisor to leadership to drive performance and initiatives, and develop and implement information delivery or presentations to key stakeholders and senior management Lead the strategy and resolution of highly complex and unique challenges related to Business Execution that require solid analytical skills, extensive knowledge of Business Execution, and understanding of business, delivering longer term and large scale solutions Provide vision, direction, and expertise to senior leadership for implementing innovative and significant business solutions that are large scale and cross organizational Lead team meetings or steering committee to facilitate decision making and support implementation of recommendations and plans Strategically engage with all levels of professionals and managers across multiple lines of businesses and serve as an experienced advisor to the leadership Provide direction to a cross functional team using business expertise Required Qualifications: 7+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Bachelors or Masters degree in Computer Science, Information Technology, Business Administration, or a related field. Proven experience in innovation roles within the banking or financial services industry, preferably within a global capability center (GCC) or captive unit. Strong understanding of banking processes and the financial services industry. Demonstrated expertise in emerging technologies, including generative AI, agentic AI, Data Engineering, Data Mining & Visualization, machine learning, NLP, and intelligent automation. Exceptional research and analytical skills, with the ability to translate complex data into actionable insights. Excellent project management skills, with a track record of successfully leading innovation projects. Outstanding communication and presentation skills, with experience in content creation and delivering innovation roadshows. Ability to work collaboratively in a cross-functional team environment and manage relationships with diverse stakeholders. Job Expectations: We are seeking a dynamic and forward-thinking Innovation and Incubation specialist with hands on experience to join our team. In this role, you will be instrumental in identifying and researching emerging technologies, developing innovative solutions, and leading industry research & Market study to identify platforms which help in digital transformation journey within bank. Your expertise in generative AI, intelligent automation, and market analysis will be crucial in shaping the future of our banking operations. Emerging Technology Research: Stay abreast of the latest technological trends, with a focus on generative AI, agentic AI, fintech, Data Engineering, Data Mining & Visualization, machine learning, NLP/NLG, and intelligent automation, to identify opportunities for innovation within banking processes. Solution and Platform Identification: Evaluate and recommend new technologies, platforms, and solutions that align with the banks strategic objectives and have the potential to enhance operational efficiency and customer experience. Market and Industry Analysis: Conduct comprehensive market research and industry analysis to understand competitive landscapes, identify market opportunities, and inform strategic decision-making. Process Understanding and Improvement: Analyze existing banking processes to identify areas for improvement and develop innovative solutions that streamline operations and enhance service delivery. Innovation Roadshows and Content Creation: Develop and deliver engaging presentations, newsletters, and other content to communicate innovation initiatives and foster a culture of innovation within the organization. Proof of Concept Development: Lead the development and execution of proof-of-concept projects to validate the feasibility and value of new technologies and solutions. Project Management: Oversee innovation projects from inception to completion, ensuring timely delivery, effective communication, and alignment with strategic goals.

About Xebia Xebia is a trusted advisor in the modern era of digital transformation, serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in t echnology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization. In addition to providing high-quality digital consulting and state-of-the-art software development, Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses. Xebia also offers a diverse portfolio of training courses to help support forward-thinking organizations as they look to upskill and educate their workforce to capitalize on the latest digital capabilities. The company has a strong presence across 16 countries with development centres across the US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific. Job Title: Generative AI Engineer Exp: 5 9 yrs Location: Bengaluru, Chennai, Gurgaon & Pune Job Summary: We are seeking a highly skilled Generative AI Engineer with hands-on experience in developing and deploying cutting-edge AI solutions using AWS, Amazon Bedrock, and agentic AI frameworks. The ideal candidate will have a strong background in machine learning and prompt engineering, with a passion for building intelligent, scalable, and secure GenAI applications. Key Responsibilities: Design, develop, and deploy Generative AI models and pipelines for real-world use cases. Build and optimize solutions using AWS AI/ML services , including Amazon Bedrock , SageMaker, and related cloud-native tools. Develop and orchestrate Agentic AI systems , integrating autonomous agents with structured workflows and dynamic decision-making. Collaborate with cross-functional teams including data scientists, cloud engineers, and product managers to translate business needs into GenAI solutions. Implement prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques to optimize model performance. Ensure robustness, scalability, and compliance in GenAI workloads deployed in production environments. Required Skills & Qualifications: Strong experience with Generative AI models (e.g., GPT, Claude, Mistral, etc.) Hands-on experience with Amazon Bedrock and other AWS AI/ML services . Proficiency in building and managing Agentic AI systems using frameworks like LangChain, AutoGen, or similar. Solid understanding of cloud-native architectures and ML Ops on AWS. Proficiency in Python and relevant GenAI/ML libraries (Transformers, PyTorch, LangChain, etc.) Familiarity with security, cost, and governance best practices for GenAI on cloud. Preferred Qualifications: AWS certifications (e.g., AWS Certified Machine Learning Specialty ) Experience with LLMOps tools and vector databases (e.g., Pinecone, FAISS, Weaviate) Background in NLP, knowledge graphs, or conversational AI. Why Join Us? Work on cutting-edge AI technologies that are transforming industries. Collaborative and innovative environment. Opportunities for continuous learning and growth.

Roles and Responsibilities Design, implement, and maintain CI/CD pipelines using Jenkins, Docker, Kubernetes, AWS, Python, Linux, Bash Scripting. Collaborate with cross-functional teams to identify areas for improvement in the development process and implement solutions using Agile methodologies. Develop automation scripts using Shell Scripting (Bash) to streamline tasks and improve efficiency. Troubleshoot issues related to pipeline failures or deployments on cloud platforms like AWS. Ensure compliance with security standards by implementing secure coding practices and following best practices for infrastructure management. Desired Candidate Profile 5-8 years of experience in DevOps engineering with expertise in Java/Maven build tools. Strong understanding of Agentic AI concepts and ability to apply them in real-world scenarios. Bachelor's degree in B.Tech/B.E. from a reputed institution; M.Tech preferred but not mandatory.

Greetings!!! This is in regards to a Job opportunity for AI Engineer - Chatbot with Datamatics Global Services Ltd. Position: AI Engineer - Chatbot Website: https://www.datamatics.com/ Job Location: Mumbai/Bangalore Job Description: Seeking a skilled AI Engineer to design and deliver a scalable, secure, and intelligent chatbot solution built entirely on the Microsoft Azure ecosystem. The solution will leverage Azure OpenAI, Azure Foundry, and Azure Cognitive Search to power a guided buying assistant with enterprise-grade compliance and AI-driven intelligence. Key Responsibilities & Required Expertise: 1.Deep hands-on experience with Retrieval-Augmented Generation (RAG) using Azure Cognitive Search and Azure Cosmos DB, including embedding generation, chunking, indexing, and semantic retrieval. 2.Strong knowledge of agentic AI design using Semantic Kernel, including task planning, tool/function calling, memory management, and autonomous reasoning flows. 3.Proven experience implementing multi-turn conversational agents using Azure OpenAI Service (GPT-4/4o) in inference-only mode, with secure prompt and session management. 4.Skilled in designing and optimizing prompt engineering strategies including system messages, dynamic templating, and user intent extraction. 5.Familiarity with Azure AI Studio and Azure Machine Learning for managing model deployments, testing, and monitoring. 6.Strong understanding of embedding models within Azure (e.g., text-embedding-ada-002 or Foundry-specific embeddings) for knowledge base enrichment and document understanding. 7. Expertise in building secure, compliant AI systems aligned with SOC 2, GDPR, and enterprise RBAC standards, ensuring no client data is used for training or fine-tuning. 8. Proficiency in Python, particularly with Azure SDKs, Semantic Kernel, and REST APIs for integrating AI into enterprise workflows. 9. Experience embedding AI-driven workflows into Azure-hosted applications, including React JS frontends and OutSystems low-code environments. 10. Ability to collaborate closely with architects, product managers, and UX teams to translate procurement workflows into intelligent assistant behavior.

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.

Primary Skills ITSM automation SME, conversational AI architects and consultants RPA automation, self-healing solutions architects and consultants Observability tools (APM and infra) SMEs AI Ops architects and consultants L3 solutions architects and consultants CloudOps / FinOps consultants AI architects, Agentic AI SMEs Role and Responsibilities Hands on experience on ITSM automation, should have worked as SME, conversational AI architects and consultants. have the working experience with L3 solutions architects on Gen AI driven impact analysis, Gen AI driven code generation Excellent problem solving/analytical skills and complex troubleshooting methods. Excellent presentation, verbal, and written communication skills. Good and adaptable with : ITSM, ServiceNow (interchangeable with SNOW), NowAssist, BMC Helix, BMC Remedy, BMC Helix RemedyForce

Role: Gen AI Architect Experience: 10+Yrs Locations: multiple Locations Role & responsibilities Bachelors or master's in computer science, Computational Linguistics, Data Science, or a related field. 3+ years of experience in NLP, machine learning, or AI-related roles. Overall 12+ years of experience. Experience with large language models (e.g., GPT-3, GPT-4, BERT) and prompt engineering. Experience in API integration and application development Familiarity with cloud platforms (Azure, AWS, Google Cloud) and machine learning frameworks (TensorFlow, PyTorch). Expertise in Python development along with AI tools is a must. Should have worked on all the python libraries relevant to AI Complete knowledge on using Open AI and implementation basis the OpenAI libraries is essential. Design and develop algorithms for generative models using deep learning techniques. Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. Experience working and implementing solutions using Agentic AI is definitely a plus. Research and stay up to date on the latest advancements in generative AI technologies and methodologies. Optimize and fine-tune generative models for performance and efficiency. Troubleshoot and resolve issues related to generative AI models and implementations. Create and maintain documentation for generative AI models and their applications. Communicate complex technical concepts and findings to non-technical stakeholders. Need to interact with Guidewire developers to integrate the solution with Guidewire. Knowledge on Insurance products such as Guidewire, Duck Creek, Majesco will be an added advantage. Familiarity with RPA tools (UiPath, Automation Anywhere) is a plus. Strong problem-solving and analytical skills, with the ability to work collaboratively in cross-functional teams.

You are a highly skilled AI Engineer passionate about transforming IT workflows into intelligent, agentic processes. Your expertise in Python, AI-driven IT automation, and IT infrastructure allows you to design and implement scalable and reliable AI-driven workflows that enhance IT operations. You thrive in collaborative environments, working closely with MLOps teams to ensure seamless deployment and optimization of AI solutions. Your ability to analyze and decompose complex IT workflows enables you to identify automation opportunities and create efficient, autonomous systems. With a strong focus on reliability and scalability, you ensure that AI-driven automation aligns with enterprise IT best practices and operates efficiently across cloud and hybrid IT environments. Your experience with ITSM platforms such as ServiceNow, BMC, or Jira, along with your knowledge of Kubernetes, Docker, and CI/CD pipelines, makes you an ideal candidate to lead the transformation of IT workflows into intelligent, self-sustaining AI-driven processes. What You ll Be Doing: Analyze and decompose IT workflows, identifying automation opportunities using agentic AI. Implement autonomous AI-driven workflows for incident management, self-healing systems, and intelligent service operations. Fine-tune AI models and develop prompt engineering strategies for optimized performance. Develop and maintain robust, scalable AI-powered IT workflows. Ensure AI-driven automation is fault-tolerant, efficient, and aligned with enterprise IT best practices. Work closely with IT teams to integrate AI workflows into existing operational frameworks. Partner with MLOps engineers to deploy, monitor, and optimize AI-driven workflows in production. Continuously improve deployed models through feedback loops and real-world performance tuning. Use Python to develop automation scripts, AI workflow integrations, and API-driven IT solutions. Work with Kubernetes, Terraform, and CI/CD pipelines to ensure automated deployment and lifecycle management. The Impact You Will Have: Transform IT workflows into intelligent, agentic AI-driven processes. Enhance IT service efficiency through AI-driven incident resolution, self-healing systems, and workflow automation. Optimize IT operations by predicting, preventing, and resolving IT issues proactively. Ensure scalable AI deployment using Python, Kubernetes, and CI/CD for production-ready AI workflows. Reduce costs and improve reliability by minimizing downtime and optimizing resource usage with AI-powered automation. Enable self-healing IT systems and predictive issue resolution. What You ll Need: Strong expertise in Python for scripting, API development, and IT automation. Experience in agent-based AI frameworks and autonomous workflow orchestration. Familiarity with ITSM platforms such as ServiceNow, BMC, or Jira. Hands-on experience with Kubernetes, Docker, and cloud automation tools. Experience working closely with MLOps teams to deploy and scale AI-driven IT automation.

We are seeking seasoned GenAI Engineers with 5+ years of experience to design, deploy, and scale AI solutions. Candidates must be proficient in Python , with hands-on expertise in LLMs , RAG (Retrieval-Augmented Generation) , and frameworks like LangChain and Hugging Face . Experience working with Agentic AI or agent-based orchestration systems is highly desirable. Strong understanding of Computer Vision , including model development using OpenCV, YOLO, or similar libraries. Expertise in data manipulation libraries such as Pandas and NumPy is essential. Solid experience in FastAPI for building scalable APIs. Must have a good grasp of MLOps and ML Engineering , including model lifecycle management. Proven experience with DevOps tools like Docker, Kubernetes, Jenkins, and Terraform. Experience with CI/CD pipelines , automated testing, and Git version control is required. Ability to deploy AI models across cloud environments (AWS/GCP/Azure). Knowledge of transformer models, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Hands-on experience with fine-tuning and optimizing large language models. Ability to work cross-functionally with data scientists, product managers, and software engineers. Strong communication skills with a problem-solving mindset. A passion for staying ahead in the rapidly evolving GenAI landscape.

Tech stack required: Programming languages: Python Public Cloud: AzureFrameworks: Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation and Observability Tools. Knowledge of Guardrails strategy for LLM. Knowledge on Arize or any other ML/LLM observability tool. Experience: Experience in building functional platforms using ML, CV, LLM platforms. Experience in evaluating and monitoring AI platforms in production Nice to have requirements to the candidate Excellent communication skills, both written and verbal. Strong problem-solving and critical-thinking abilities. Effective leadership and mentoring skills. Ability to collaborate with cross-functional teams and stakeholders. Strong attention to detail and a commitment to delivering high-quality solutions. Adaptability and willingness to learn new technologies. Time management and organizational skills to handle multiple projects and priorities.

Customize Llama or leverage OpenAI to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Job description : We are hiring for - Agentic AI Engineer Agentic AI Developer Role & responsibilities Proven experience in developing AI agents, generative AI applications, or multi-agent systems. Expertise in Large Language Models (LLMs) such as GPT, T5, BERT, etc., and experience with transformer architectures. Hands-on experience with Retrieval-Augmented Generation (RAG) and Agentic RAG frameworks. Familiarity with agent-based frameworks (e.g., OpenAI Gym, LangChain, Rasa, Ray RLLib, etc.). Experience in reinforcement learning, supervised learning, and unsupervised learning to enhance agent capabilities. Proficiency in NLP techniques and frameworks (e.g., spaCy, Hugging Face Transformers). Strong coding skills in Python, with experience using libraries such as TensorFlow, PyTorch, and Hugging Face for AI model development. Experience with cloud platforms (AWS, GCP, Azure) for scalable deployment and containerization (e.g., Docker, Kubernetes). Ability to innovate and solve complex problems in real-world settings using generative models and intelligent agents. Strong communication skills and the ability to work in cross-functional teams, collaborating with data scientists, product managers, and other stakeholders. Ability to integrate external data sources, APIs, or databases into AI agent workflows for dynamic decision-making and knowledge retrieval. Perks and benefits: Make an Impact: Be at the forefront of AI innovation, shaping the future of work. Exciting Challenges: Work on cutting-edge technology that automates manual tasks, transforming industries and businesses globally. Growth Opportunities: Grow with us as we aim to reach $15M in revenue, 1,000 customers, and expand across the US & Europe. Dynamic Team: Join a team of passionate, ambitious individuals who are driven by our mission and values.

Way of working - Work from office (5 days a week) Job Title: Software Development Engineer III Location: Bangalore Tenure: 5 to 7 years Position Overview: As an SDE III at Swiggy, you will play a pivotal role in designing and architecting intelligent systems with a strong emphasis on Agentic AI and multi-agent frameworks. You will contribute to the development of cutting-edge Conversational AI platforms using technologies like Langchain, Langraph, and LLMs from providers such as OpenAI, Anthropic (Claude), Bedrock, Azure, and others. Your responsibilities include owning end-to-end architecture for your team's systems, co-driving the team's technical vision, and transforming product requirements into scalable, production-grade AI solutions. Collaboration with cross-functional product and business teams will be essential to translate product features into intelligent, agent-driven designs and drive the delivery of high-impact applications. What qualities are we looking for . B Tech/M Tech in Computer Science or equivalent from a reputed college with minimum 5+ years of Experience in Product Development Company . Experience working with AI agents, including multi-agent architectures. . Familiarity with agentic AI systems and conversational AI platforms. . Practical knowledge of LLMs (Large Language Models), including integration with providers like OpenAI, Anthropic (Claude), Bedrock, Falsh, and Azure OpenAI. . Strong design skills involving data modeling and low level class design . Good knowledge of object oriented programming and design pa erns . Proficiency in at least one programming language - Python, Java, Golang . Follow industry coding standards and responsible for writing maintainable/scalable/efficient code to solve business problems . Hands-on experience of working with Databases and Linux/Unix platform . Hands-on experience with Langchain or LangGraph for building AI-driven workflows and orchestration. . Strong technical aptitude and good knowledge of CS fundamentals . What will you get to do here . Coming up with best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team. . Driving the adoption of best practices & regular Participation in code reviews, design reviews, architecture discussions. . Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create . Implementation of long term technology vision for your team. . Creating architectures & designs for new solutions around existing/new areas . Decide technology & tool choices for your team & be responsible for them. Visit our tech blogs to learn more about some of the challenging Problem Statements the team works at:- . https://bytes.swiggy.com/engineering-challenges-at-swiggy-430dea6c86a3 . https://bytes.swiggy.com/the-swiggy-delivery-challenge-part-one-6a2abb4f82f6 . https://bytes.swiggy.com/what-serviceability-means-at-swiggy-c94c1aad352a . https://bytes.swiggy.com/architecture-and-design-principles-behind-the-swiggys-delivery-partner s-app-4db1d87a048a . https://bytes.swiggy.com/swiggy-distance-service-9868dcf613f4 . https://bytes.swiggy.com/the-tech-that-brings-you-your-food-1a7926229886 We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.

Responsibilities: * Develop cutting-edge Agentic AI solutions using Langchain, Langgraph & OpenAI technologies. * Collaborate with cross-functional teams on project delivery and knowledge sharing. Health insurance Work from home

Role & responsibilities Agentic AI Development : Work on building scalable multi-modal Large Language Model (LLM) based AI agents, leveraging frameworks such as LangGraph, Microsoft Autogen, or Crewai. AI Research and Innovation : Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs. Technical Expertise : Proficiency in a technology stack that includes Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React. LLM and NLP Experience : Hands-on experience working with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems. Dataset Development : Strong track record of building datasets for training and/or evaluating machine learning models. Customer Focus : Enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. Adaptability : Thrive in a fast-paced environment and are excited about joining an early-stage venture. Model Deployment and Management : Automate model deployment, monitoring, and retraining processes. Collaboration and Optimization : Collaborate with data scientists to review, refactor, and optimize machine learning code. Version Control and Governance : Implement version control and governance for models and data. Preferred candidate profile Bachelor's degree in computer science, Software Engineering, or a related field 4-8 years of experience in MLOps, DevOps, or related roles Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow Have strong familiarity and knowledge of machine learning concepts Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform Experience with experiment tracking and model versioning tools You have experience with technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect Familiarity with software testing and test automation practices Understanding of ethical considerations in machine learning deployments Strong problem-solving skills and ability to work in a fast-paced environment

We are seeking a skilled Generative AI Engineer to join our team and lead the development of innovative AI solutions. Your expertise in generative models, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications. You will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. Join us and be part of a dynamic team that is shaping the future of AI. Generative AI Engineer job responsibilities: Expertise in Python development along with AI tools is a must. Should have worked on all the python libraries relevant to AI Complete knowledge on using Open AI and implementation basis the OpenAI libraries is essential. Design and develop algorithms for generative models using deep learning techniques. Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. Experience working and implementing solutions using Agentic AI is definitely a plus. Research and stay up to date on the latest advancements in generative AI technologies and methodologies. Optimize and fine-tune generative models for performance and efficiency. Troubleshoot and resolve issues related to generative AI models and implementations. Create and maintain documentation for generative AI models and their applications. Communicate complex technical concepts and findings to non-technical stakeholders. Need to interact with Guidewire developers to integrate the solution with Guidewire. Knowledge on Insurance products such as Guidewire, Duck Creek, Majesco will be an added advantage.

Role & responsibilities Strategic Leadership : Define and execute the vision, strategy, and roadmap for the ODC in alignment with the companys global objectives. Establish the ODC as a center of excellence for software development, Data/AI, and innovation in next gen technologies such as Gen AI, Agentic AI etc. Develop and monitor key performance indicators (KPIs) such as project delivery timelines, cost efficiency, and client satisfaction. Technical Skills : Strong understanding of Enterprise software ecosystems, Agile methodologies, CTO mindset with deep understanding of enterprise architecture patterns and modern data architecture, Must understand cloud platforms like AWS/Azure and Cloud data technologies, Presales and RFP bid management experience Familiarity with project management tools (e.g., Jira, Trello) and version control systems (e.g., Git). Operational Management : Oversee the setup of the ODC, including infrastructure, hiring, and compliance with local regulations. Manage day-to-day operations, ensuring seamless collaboration between the ODC and global teams across different time zones. Implement agile methodologies (e.g., Scrum, Kanban) Establish Training Academy and partnership with University for creating a talent pool. Knowledge of India’s regulatory and compliance landscape, including labor laws and tax benefits (e.g., SEZs). Experience in budgeting, cost optimization, and resource planning. Strategic mindset with the ability to align ODC operations with long-term business goals. Talent development : Recruit, onboard, and mentor a high-performing team of developers, engineers, and support staff. Foster a culture of innovation, collaboration, and continuous learning to keep the team updated on emerging technologies. Conduct performance reviews, provide feedback, and drive professional development initiatives. Client and Stakeholder Engagement : Act as the primary point of contact for clients and internal stakeholders, ensuring clear communication and alignment on project goals. Collaborate with onshore teams to translate client requirements into actionable deliverables for the offshore team. Drive client satisfaction by delivering high-quality solutions on time and within budget. Compliance and Risk Management : Ensure compliance with India’s IT Act, ISO, GDPR, and other relevant regulations. Implement robust data security measures, including encryption, access controls, and NDAs to protect client data. Mitigate risks related to cultural differences, communication gaps, and project execution. Financial Oversight : Manage the ODC’s budget, optimizing costs while maintaining quality and scalability. Leverage India’s Special Economic Zone (SEZ) tax benefits and other incentives to maximize cost efficiency. Leadership Skills : Exceptional leadership and team-building skills, with a focus on fostering a collaborative and inclusive work environment. Strong communication and interpersonal skills to bridge cultural and time zone differences. Ability to manage multiple stakeholders, including clients, vendors, and internal teams. Experience : 15+ years of experience in IT leadership, with at least 5 years in managing offshore or global delivery teams within FSI industry. Proven track record of setting up or managing an Offshore Development Center or similar operation in India. Experience working with global clients in a technology consulting or IT services environment.

Role: Gen AI Engineer Employment Type: FTE with Dimiour Work Location: Remote Shift Timings: General Day Shift IST Time Zone Experience Required: 5+ Years GenAI Engineers 5+ years of experts who are proficient in Python and familiar with AI/Gen AI frameworks. Experience with data manipulation libraries like Pandas and NumPy is crucial. Specific expertise in implementing and managing large language models (LLMs) is a must. Fast API experience for API development Should have hands on experience in Agentic AI Ability to diagnose accuracy drops in Retrieval-Augmented Generation (RAG) systems A solid grasp of software engineering principles, including version control (Git), continuous integration and continuous deployment (CI/CD) practices, and automated testing, is required. Experience in MLOps, ML engineering, and Data Science, with a proven track record of developing and maintaining AI solutions, is essential. Preferred candidate profile Immediate - 15days

Role & responsibilities Develop and maintain AI-based solutions using Python. Design, develop, and deploy AI-driven applications with a focus on GenAI Chatbots & AI Agents. Implement GenAI Chatbots, including ingestion and query pipelines, using at least one cloud platform ( Azure, or GCP). Implement Agentic AI framework-based solutions. Develop data ingestion pipelines for efficient data processing and transformation. Ensure high data integrity and performance in AI-driven workflows. Deploy AI models on cloud platforms such as Azure, or GCP. Implement best practices for scalability, security, and cost optimization in cloud-based AI solutions. Conduct regular performance tuning, debugging, and troubleshooting of AI models and applications. Implement monitoring and logging mechanisms for AI-driven systems. Work closely with cross-functional teams, including data scientists, ML engineers, and software developers, to integrate AI solutions. Document technical specifications, workflows, and best practices for AI development. Stay updated with the latest advancements in GenAI, Agentic AI technologies to bring innovation into the organization. Preferred candidate profile Extensive experience in AI software development with strong proficiency in Python. Hands-on experience with GenAI, Agentic AI. Experience in developing Generative AI chatbots, Agentic AI frameworks including ingestion pipelines, query pipelines, and Retrieval-Augmented Generation (RAG) using at least one cloud platform. Solid understanding of machine learning techniques and algorithms. Strong knowledge of data structures, algorithms, and software design principles. Healthcare domain experience is a plus.

We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should have a strong foundation in ML and AI principles, coupled with a proven track record of developing and deploying a minimum of 20+ models in these domains. Role & responsibilities Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct thorough data analysis, pre-processing, and feature engineering to extract meaningful insights from structured and unstructured data. Design and implement scalable and efficient machine learning pipelines for training, evaluation, and inference. Experiment with various deep learning architectures, hyperparameters, and optimization techniques to improve model performance. Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain. Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability. Perform rigorous testing and validation of models to ensure their accuracy, reliability, and generalization capability. Continuously monitor and maintain deployed models, and implement necessary updates and enhancements as required. Document code, methodologies, and findings effectively, and contribute to internal knowledge sharing initiatives Preferred candidate profile Strong theoretical understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Job Description We are seeking a QA professional with strong healthcare or insurance domain experience to test IT applications. The ideal candidate will have 5+ years of testing experience , including the use of AI technologies (Agentic and Generative AI), along with Azure cloud exposure. The role requires flexibility to work semi-London hours to coordinate with UK-based teams. Key Responsibilities Plan, design, and execute test strategies and test cases for complex IT applications in healthcare or insurance domains . Perform functional, integration, system, and UAT testing , ensuring quality and regulatory compliance. Collaborate with development, product, and business teams to validate functionality and performance. Utilize AI technologies (Agentic and Generative AI) to enhance testing methodologies and automation. Work with Azure for cloud-based testing deployments and environment management. Adapt to semi-London hours (late start times) for effective collaboration with UK teams. Must-Have Skills & Experience Testing background : Minimum 5+ years of IT application testing experience (functional, system, UAT). Domain knowledge : Experience of healthcare or insurance domain applications . AI knowledge : Experience with Agentic AI (autonomous agents) and Generative AI technologies applied to testing. Cloud skills : Experience with Azure (cloud deployments, environment management). Work hours : Must be comfortable with semi-London hours (late start to match UK teams).

GenAI Architect - Fulltime Remote Shift:General Shift Job Summary: We are looking for a GenAI Architect with deep expertise in AI/Gen AI systems, specifically in designing and building large-scale AI solutions. As a GenAI Architect , you will be responsible for leading the design and architecture of cutting-edge Gen AI systems, with a focus on large language models (LLMs), AI frameworks, and advanced machine learning technologies. This is a senior role requiring strategic vision and hands-on expertise in AI solution architecture, software engineering, and MLOps practices. Responsibilities: Architecting AI Solutions : Design and architect scalable, efficient, and robust GenAI systems leveraging advanced machine learning frameworks, particularly in large language models (LLMs). Leading AI Framework Implementation : Lead the design and implementation of complex GenAI models and frameworks using Python and other relevant technologies. Provide strategic oversight of AI/GenAI architecture to align with business needs and tech stack. Model Optimization and Performance : Oversee the optimization of large-scale AI models for both training and inference, ensuring high performance and scalability across platforms. API Architecture & Development : Guide the development of high-performance APIs for AI services using FastAPI or other relevant frameworks, ensuring ease of integration with internal and external systems. MLOps Integration : Drive the integration of MLOps pipelines for seamless deployment, monitoring, and scaling of machine learning models, ensuring automation, efficiency, and high availability. Leadership and Mentorship : Provide technical leadership and mentorship to teams of engineers, guiding them in best practices for AI system architecture, software engineering, and AI model lifecycle management. Collaboration with Cross-Functional Teams : Work closely with Data Science, Data Engineering, DevOps, and Product teams to ensure AI/Gen AI solutions are architected in a way that meets both technical and business requirements. CI/CD & Automation : Design and implement automated pipelines for continuous integration and continuous deployment (CI/CD) of AI models, ensuring smooth and rapid updates to production environments. DevOps Practices : Ensure the robust deployment and management of AI models in production environments using DevOps tools like Docker, Kubernetes, Jenkins, and Terraform. Security and Compliance : Ensure AI systems adhere to best practices in security, privacy, and compliance, especially in handling sensitive data and large-scale model training. Key Requirements: Experience : Hands-on experience in AI/Gen AI system design, implementation, and scaling, with expertise in large language models (LLMs) and AI frameworks. Programming Skills : Expertise in Python and a strong understanding of data manipulation libraries like Pandas and NumPy. AI Frameworks : Experience in designing and managing large-scale AI models using cutting-edge frameworks such as TensorFlow, PyTorch, and similar. API Development : Strong experience in FastAPI or other modern frameworks for building high-performance APIs. Software Engineering : Proficient in software engineering principles, version control (Git), and maintaining code quality through automated testing and CI/CD pipelines. MLOps & ML Engineering : Deep understanding of MLOps practices for model deployment, monitoring, and optimization. Hands-on experience with ML engineering workflows. DevOps Expertise : Strong experience with DevOps tools like Docker, Kubernetes, Jenkins, and Terraform, with an emphasis on automating deployment and managing infrastructure at scale. Leadership & Mentorship : Proven experience in leading technical teams, making architectural decisions, and mentoring junior engineers.

Looking for an AI Developer with a strong software background, skilled in AI tools. Rapidly deliver working code from wireframes in a fast-moving startup environment. Design and deliver scalable Agentic AI systems. Required Candidate profile AI Developer with software expertise, skilled in developing creative technical solutions using AWS and Microsoft stack. Build solutions leveraging low-code/no-code automation tools like n8n or Make.