297 Agentic Ai Jobs - Page 9

Prompt Engineer. Are you a seasoned Pythonista with a knack for crafting perfect prompts? We're looking for a talented and experienced Prompt Engineer to join our team! In this role, you'll be instrumental in developing and refining the prompts that drive our cutting-edge AI models. You'll work closely with stakeholders, leveraging your deep understanding of Python and prompt engineering to optimize model performance and ensure clear, effective communication with our systems. Mandatory Skills- Prompt Engineering, Python What you'll bring: * 5-7 years of experience in Python development, with a strong grasp of its ecosystem and best practices. * 3-5 years of experience in Prompt Engineering , demonstrating a proven ability to design, test, and refine prompts for various AI models. * Very good knowledge of GHCP (Google Cloud's AI Platform , including Generative AI capabilities). * Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into clear, actionable insights for diverse audiences. If you're passionate about the future of AI and thrive in a collaborative environment, we encourage you to apply! Share your profile on Aarushi.Shukla@coforge.com

Expected Notice Period : 30 Days Shift : (GMT+11:00) Australia/Melbourne (AEDT) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Okkular) What do you need for this opportunity? Must have skills required: Communication Skills, problem-solvers, Agentic AI, AWS services (Lambda, FastAI, LangChain, Large Language Model (LLM), Natural Language Processing (NLP), PyTorch, Sagemaker, Step Functions), Go Lang, Python Okkular is Looking for: About the job Company Description: We are a leading provider of fashion e-commerce solutions, leveraging generative AI to empower teams with innovative tools for merchandising and product discovery. Our mission is to enhance every product page with engaging customer-centric narratives, propelling accelerated growth and revenue generation. Join us in shaping the future of online fashion retail through cutting-edge technology and unparalleled creativity within the Greater Melbourne Area. Role Description: This is a full-time remote working position in India as a Senior AI Engineer . The Senior AI Engineer will be responsible for pattern recognition, neural network development, software development, and natural language processing tasks on a daily basis. Qualifications: Proficiency in sklearn, PyTorch, and fastai for implementing algorithms and training/improving models. Familiarity with Docker, AWS cloud services like Lambda, SageMaker, Bedrock. Familiarity with Streamlit. Knowledge of LangChain, LlamaIndex, Ollama, OpenRouter, and other relevant technologies. Expertise in pattern recognition and neural networks. Experience in Agentic AI development. Strong background in Computer Science and Software Development. Knowledge of Natural Language Processing (NLP). Ability to work effectively in a fast-paced environment and collaborate with cross-functional teams. Strong problem-solving skills and attention to detail. Masters or PhD in Computer Science, AI, or a related field is preferred, but not mandatory. Strong experience in the field is sufficient alternative. Prior experience in fashion e-commerce is advantageous. Languages: Python, Golang

Role Overview: We are looking for a visionary Enterprise IT Architect to lead the transformation of our IT organization into an Agentic AI-driven powerhouse. This individual will architect modern, scalable, AI-native IT platforms that optimize operations, drive automation, and showcase how next-gen IT can innovate at scale. You will work across infrastructure, applications, data, security, and operations to infuse agentic capabilities into the fabric of enterprise IT. Here is how, through this exciting role, you will contribute to BMC's and your own success: Architect AI-native IT Systems : Design modern enterprise architectures that embed autonomous AI agents across IT functions including operations, service management, monitoring, and security. Enable Agentic AI Use Cases : Translate IT goals into agentic AI use cases across ticket triage, auto-remediation, provisioning, governance, and user support. Drive Platform Modernization : Lead the modernization of legacy IT platforms to be cloud-native, API-first, and AI-ready. Champion Automation & Observability : Implement intelligent automation, real-time observability, and self-healing capabilities using LLMs, agents, and RPA. Collaborate Cross-functionally : Partner with engineering, security, infrastructure, and product teams to ensure seamless integration of AI agents with enterprise systems. Evaluate and Adopt Technologies : Assess AI toolkits, orchestration frameworks, and multi-agent systems for enterprise applicability. Strategic Roadmapping : Contribute to the roadmap for AI transformation in IT aligned with business outcomes and goals Security and Governance : Ensure that AI-driven architectures meet enterprise-grade standards for risk, compliance, and governance. To ensure youre set up for success, you will bring the following skillset & experience: Mandatory Skills : 10+ years of experience in enterprise IT architecture, with 3+ years in AI Proven experience architecting solutions involving AI agents, cloud platforms (AWS, Azure, GCP). Deep understanding of AI orchestration frameworks, LLMs, agent stacks (e.g., AutoGen, LangChain, CrewAI), and observability tools. Experience designing IT solutions with resilience, security, and scale in mind. Strong knowledge of ITIL, SRE principles, DevOps, and enterprise systems (ERP, identity, asset management, etc.). Passion for innovation, continuous improvement, and being customer-zero for AI-driven IT. Preferred Skills : Familiarity with agent simulation environments and feedback loops. Exposure to enterprise use of generative AI, vector databases, and cloud-native ML pipelines. Strategic mindset with the ability to balance innovation with risk, cost, and governance.

We are looking for "Data Scientist" with Minimum 4 years experience Contact- Yashra (95001 81847) Required Candidate profile Data Science, Agentic AI, LLM & RAC advanced machine learning (ML) and Agentic AI frameworks. generative AI, reinforcement learning, and multi-agent systems.

We are looking for "Data Scientist – Agentic AI" with Minimum 15 years experience Contact- Yashra (95001 81847) Required Candidate profile advanced machine learning (ML) and Agentic AI frameworks. generative AI, reinforcement learning, and multi-agent systems. scalable AI/ML solutions.

Role: Data Engineer Location: Mumbai (Goregaon) Working Days: 5 days About us: Crimson Interactive - https://www.crimsoni.com/ We are a technology-driven scientific communications & localization company. Crimson offers a robust ecosystem of services with cutting-edge AI and learning products for researchers, publishers, societies, universities, and government research bodies worldwide. With a global presence, including 9 international offices, we cater to the communication needs of the scientific community and corporates. Crimson Enago flagship products At Crimson Enago we are laser-focused on building AI-powered tools and services that significantly boost the productivity of researchers and professionals. Every researcher or professional goes through the stages of knowledge discovery, knowledge acquisition, knowledge creation, and knowledge dissemination. However, each stage is cognitively heavy and is tightly coupled. In this direction, we have our flagship products Trinka and Enago Read that focus on making all these four stages easy and fast. About Trinka Trinka (www.trinka.ai) is an AI-powered English grammar checker and language enhancement writing assistant designed for academic and technical writing. Built by linguists, scientists, and language lovers, Trinka finds and corrects thousands of complex writing errors so you dont have to. Trinka corrects contextual spelling mistakes, and advanced grammar errors, enhances vocabulary usage, and provides writing suggestions in real-time. Trinka goes beyond grammar to help professionals and academics ensure professional, concise, and engaging writing. With subject-specific correction, Trinka understands the nuances in the expression of each subject and ensures the writing is fit for the subject. Trinka's Enterprise solutions come with unlimited access and great customization options to all of Trinkas powerful capabilities. About Enago Enago Read Enago Read (www.read.enago.com) is the first smart workspace that helps researchers (students, professors, and corporate researchers) to be better and faster in their research projects. Powered with proprietary AI algorithms and a unique approach to solving problems with design and tech, Enago Read is set to be the default workspace for any research-heavy projects. Launched in 2019, the product connects information (Research papers, Blogs, Wiki, Books, Courses, Videos, etc.) to behaviors (reading, writing, annotating, discussing & more), opening up newer insights and opportunities in the academic space that was otherwise not possible (or not imaginable). About the team We are a bunch of passionate researchers, engineers, and designers who came together to build a product that can revolutionize the way any research-intensive projects are done. Reducing cognitive load and helping people to convert information into knowledge, is at the core of our mission. Our engineering team is building a scalable platform that deals with tons of data, AI processing over the data, and interactions of users from across the globe. We believe research plays a key role in making the world a better place, and we want to make it easy to approach and fun to do! We are building a world-class language-related product that has the potential to positively transform lives worldwide. We have a passionate team of data scientists, coders, and linguists who have been working on it. Key responsibilities: Create, build and design data management systems across an entire organization Work with very large data sets (both structured and unstructured). Help data scientist to easily retrieve the needed data for their evaluations and experiments. Design, develop and implement R&D and pre-product prototype solutions Must have strong engineering skills that will help engineering team to productivie NLP/ML algorithms Implement scalable, maintainable, well documented and high-quality solutions. Stay abreast of the new developments in Artificial Intelligence (AI)/Machine Learning (ML). Contribute to the research strategy and technical culture of the team Skills Required: BTech/MTech/ME/MCA from reputed Engineering college. 0-1 years of industry experience Knowledge of Agentic Frameworks Exposure to Prompt Engineering, RAG and Vector Databases Extremely curious and relentless at figuring out solutions to problems Knowledge of Big Data platforms like Hadoop and its eco-system Proficiency in programming languages like Java/C/C++/Python Experience with cloud services Exposure to NLP and its related services. Experience with one or more visualization tools like Tableau, etc. Experience with Docker, Kubernetes, Kafka, Elasticsearch, Lucene Experience with relational or NoSQL databases such as MySQL, MongoDB, Redis, Neo4j. Experience of handling various data types and structures: structured and unstructured data, validating and cleaning data, and measuring evaluation Excellent understanding of machine learning techniques.

Position Overview We are looking for an experienced AI/ML Lead to join our team in Bengaluru. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. You will lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications. Job Details Job Category: AI/ML Engineer Job Type: Full-Time Job Location: Bengaluru Experience Required: 5-10 Years About Us We are a multi-award-winning creative engineering company. Since 2011, we have worked with our customers as a design and technology enablement partner, guiding them on their digital transformation journeys. Roles and Responsibilities Backend Development Design, develop, and maintain robust backend systems to support AI/ML applications. Implement APIs and services to integrate AI models with frontend applications and other services. Ensure scalability, performance, and security of backend systems. Big Data Solutions Work with large-scale data processing frameworks like Hadoop and Spark, as well as CRMs (e.g., Salesforce) and databases (e.g., Postgres, MongoDB). Develop and optimize data pipelines for efficient data ingestion, processing, and storage. Ensure data integrity and consistency across multiple sources and formats. Machine Learning Develop, train, and deploy traditional machine learning models (e.g., regression/classification models, neural networks). Perform data analysis and feature engineering to improve model performance. Continuously monitor and refine models based on performance metrics. Generative AI Knowledge Base Solutions Design and implement generative AI models for knowledge base creation and maintenance. Develop systems to integrate generative AI with existing knowledge management platforms. Optimize generative models for high-quality, relevant output in knowledge base contexts. Collaboration and Communication Collaborate with data scientists, software engineers, and product managers. Communicate complex technical concepts effectively to non-technical stakeholders. Lead technical discussions and mentor junior team members. Research and Innovation Stay updated on advancements in AI, machine learning, and big data technologies. Conduct research to explore new methodologies and enhance existing solutions. Propose and implement innovative approaches to solve complex problems. Key Skills and Competencies Core Technical Skills Proficiency in data analytics, descriptive analytics, and predictive analytics. Experience with regression and classification models like Linear Regression, Logistic Regression, Decision Trees, Random Forest, and Neural Networks. Expertise in programming languages: Python, R, SQL, Java, C, and C++. Familiarity with AI/ML tools provided by cloud platforms (AWS, Azure, GCP) such as TensorFlow, SageMaker, and Azure ML. Hands-on experience working with LLM models. Proficiency in data modeling and data visualization. Additional Skills Strong problem-solving skills focused on product development. Proven track record of supporting global clients or internal stakeholders in data science projects. Knowledge of AI-related fields such as image processing and video analytics. Ability to work across time zones and geographic borders. Exceptional written and spoken communication skills to convey technical concepts effectively to non-technical audiences. Qualifications Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute. What We Offer Competitive salary and benefits package. Opportunity to work in a dynamic and innovative environment. Professional development and learning opportunities.

About DigiLantern DigiLantern is a forward-thinking technology services company focused on delivering AI-powered digital transformation solutions . Our services include custom web and mobile application development , Salesforce and CRM integrations , AI agents and automation , SaaS product development , and e-commerce solutions . We help clients accelerate growth, enhance customer engagement, and optimize operations through intelligent and scalable technology. Role Overview We are seeking a highly skilled Technical Architect to lead solution architecture and system design across diverse digital and AI-first projects. You will be responsible for building scalable platforms with a strong focus on Agent AI frameworks , Retrieval-Augmented Generation (RAG) pipelines, and modern cloud-native infrastructure. This is a key leadership role that blends hands-on technical design with strategic planning and client engagement. Key Responsibilities Architect robust, scalable, and secure cloud-based solutions for enterprise-grade applications Design and integrate Agent AI workflows using frameworks like LangChain, AutoGen, or Semantic Kernel Build RAG pipelines for knowledge retrieval from vector databases (e.g., FAISS, Pinecone, Weaviate) Collaborate with product managers, developers, and clients to translate requirements into technical blueprints Lead architecture reviews, code quality standards, and technical governance across projects Guide engineering teams on architectural best practices, DevOps, and performance optimization Create technical documentation, architecture diagrams, and project-level design assets Stay current with advancements in AI/ML, cloud infrastructure, and modern development stacks Required Qualifications 10+ years of experience in software development and system architecture Strong backend expertise in Python, Java, Node.js and relevant frameworks (Django, Spring Boot, Express.js) Hands-on experience with cloud platforms : AWS (preferred), GCP, Azure Proven experience with containerization and orchestration : Docker, Kubernetes Deep understanding of Agent AI architectures and LLM orchestration (LangChain, AutoGen, CrewAI) Experience building or integrating RAG-based solutions using vector databases and embedding models Strong knowledge of APIs (REST, GraphQL), security protocols (OAuth2, JWT), and DevSecOps principles Excellent communication and problem-solving skills Bachelor's or Masters degree in Computer Science, Engineering, or a related discipline Preferred Experience Designing and deploying AI agents or automation tools with real-time decision-making capabilities Working with OpenAI APIs, Hugging Face, or custom LLMs Experience in regulated industries such as healthcare, finance, or nonprofit Collaborating with global, cross-functional engineering teams in agile environments Exposure to compliance standards such as HIPAA, GDPR Technology Stack AI & Data Agent AI: LangChain, AutoGen, CrewAI, Semantic Kernel, OpenAI APIs RAG: FAISS, Pinecone, Weaviate, ChromaDB, Haystack ML Tools: TensorFlow, PyTorch, Scikit-learn Databases: PostgreSQL, MongoDB, Redis, MySQL Analytics: Google Analytics, Power BI, Tableau Backend Python, Java, Node.js, PHP Django, Flask, Spring Boot, Express.js Frontend JavaScript / TypeScript React, Angular, Vue.js Material-UI, TailwindCSS Cloud & DevOps AWS, GCP, Azure Jenkins, GitHub Actions, Terraform, Ansible CI/CD with GitLab, CircleCI Security & Integration OAuth2, JWT, SAML SSL/TLS, AES encryption API tools: Swagger, Postman, MuleSoft Why Join DigiLantern? Architect real-world, high-impact solutions with cutting-edge AI technologies Be a key technical leader in a fast-growing digital innovation firm Opportunity to shape future-ready platforms across industries Competitive compensation, collaborative culture, and high ownership Thanks & Regards Pankhuri Agarwal Assistant Manager-HR pankhuri.agarwal@digilantern.co.in 9821486056 www.digilantern.com

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.

Responsibilities: * Develop AI/ML models using Python, Agentic AI, CrewAI, Generative AI tools. * Collaborate with cross-functional teams on project delivery. * Optimize model performance through data analysis and iteration. Flexi working Provident fund

Use GPT API or Llama 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 3+ 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 Title : AI Engineer Location: Chennai Experience: 5+ Years (Hands-On Data Science & AI) Employment Type: Full-Time Work type - Work from office. About the Role We are seeking a skilled AI Engineer with deep hands-on experience in ML, NLP, LLMs, GenAI, and Agentic AI to join our technology team focused on automating US mortgage loan processing workflows. This role involves designing intelligent, scalable solutions using cloud-native MLOps and advanced AI/LLM orchestration tools on Azure. Key Responsibilities Design and implement ML/NLP/GenAI pipelines for automating loan origination, underwriting, and document intelligence processes. Develop and deploy LLM-based solutions using tools like Ollama, OpenAI, HuggingFace, and integrate via LangChain or similar frameworks. Build and orchestrate Agentic AI systems (e.g., using LangChain Agents, AutoGen, CrewAI) to enable autonomous decision-making, task planning, and loan-processing agents. Fine-tune domain-specific LLMs and embeddings for intelligent document classification, summarization, and question answering. Develop end-to-end MLOps workflows for scalable training, testing, and monitoring of models. Deploy AI models and microservices using Azure (Azure ML, Functions, Blob Storage, App Services). Work with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions. Leverage prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores for contextual mortgage document workflows. Required Skills & Qualifications 5+ years of hands-on experience in Machine Learning, NLP, or LLM-based systems. Proven expertise with LLMs (e.g., OpenAI, Ollama, GPT-4, Mistral) and LangChain / AutoGen / Agentic AI design. Proficiency in Python, Scikit-learn, PyTorch/TensorFlow, Spacy, HuggingFace Transformers. Strong knowledge of Azure Cloud including Azure ML, Azure Functions, Azure DevOps. Experience with MLOps tools like MLflow, Azure ML pipelines, or Kubeflow. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Experience deploying models into production-scale environments. Nice to Have Understanding of US mortgage or lending workflows (1003, 1008, bank statements, etc.). Experience with OCR, document intelligence tools (Azure Form Recognizer, Amazon Textract). Exposure to Agentic AI concepts such as autonomous agents, planning, memory chaining. Knowledge of privacy and compliance frameworks (HIPAA, SOC2) in AI deployments. What We Offer Opportunity to lead GenAI and Agentic AI initiatives for mortgage automation. Access to top-tier tools, frameworks, and cloud platforms. Remote flexibility and career growth in an innovation-first team. Impactful work transforming legacy loan operations through AI. Interested candidates kindly share your resume to SGrace@ca-usa.com.

Job Description Summary role description: Hiring for a Solution Architect for an InsurTech platform provider, Life and Health Insurance. Company description: Our client is a VC-funded InsurTech platform company, providing software platforms for Life Insurance and Health Insurance companies across the globe. Leveraging their domain expertise, regulatory knowledge and technology experience, they architect innovative products and disrupt the Insurance value chain from Customer Acquisition to Engagement. Their products serve customers across the APAC region. Role details: Title / Designation : Solutions Architect Location: Pune/Mumbai Work Mode: Work from office Role & responsibilities: Define and evolve AI/ML architecture roadmap for FWA, IDP, and Agentic AI frameworks. Lead technical presentations and solution design sessions with customers. Design scalable architectures for multi-agent systems and autonomous decision-making. Drive innovation by evaluating emerging AI/ML technologies, especially AI agents. Architect cloud-native platforms supporting the complete AI/ML lifecycle. Provide technical leadership across product development and customer implementation. Collaborate with data scientists, engineers, and business stakeholders. Stay at the forefront of AI/ML innovations, particularly autonomous agents and LLMs. Establish and enforce technical standards and architectural guidelines. Candidate requirements: 10+ years in software architecture/system design in insurance domain, with 5+ years in AI/ML systems/platforms. Proven experience delivering large-scale AI/ML solutions, preferably with autonomous agents. Experience with cloud-native architectures (AWS, Azure, GCP), containerization (Docker, Kubernetes), and microservices. Deep expertise in AI/ML system architecture (model serving, MLOps/LLMOps pipelines, distributed computing). Strong understanding of Agentic AI, multi-agent systems, and LLMs (including LoRA, PEFT fine-tuning). Bachelor's or Master's in CS, SE, Data Science, or related technical field. Exceptional technical leadership and communication skills. Selection process: Interview with Senior Solution Architect Interview with CTO HR Discussion Check Your Resume for Match Upload your resume and our tool will compare it to the requirements for this job like recruiters do.

Role & responsibilities We are seeking an experienced and technically strong Machine Learning Engineer to design, implement, and operationalize ML models across Google Cloud Platform (GCP) and Microsoft Azure. The ideal candidate will have a robust foundation in machine learning algorithms, MLOps practices, and experience deploying models into scalable cloud environments. Responsibilities: Design, develop, and deploy machine learning solutions for use cases in prediction, classification, recommendation, NLP, and time series forecasting. Translate data science prototypes into production-grade, scalable models and pipelines. Implement and manage end-to-end ML pipelines using: Azure ML (Designer, SDK, Pipelines), Data Factory, and Azure Databricks Vertex AI (Pipelines, Workbench), BigQuery ML, and Dataflow Build and maintain robust MLOps workflows for versioning, retraining, monitoring, and CI/CD using tools like MLflow, Azure DevOps, and GCP Cloud Build. Optimize model performance and inference using techniques like hyperparameter tuning, feature selection, model ensembling, and model distillation. Use and maintain model registries, feature stores, and ensure reproducibility and governance. Collaborate with cloud architects, and software engineers to deliver ML-based solutions. Maintain and monitor model performance in production using Azure Monitor, Prometheus, Vertex AI Model Monitoring, etc. Document ML workflows, APIs, and system design for reusability and scalability. Primary Skills required (Must Have Experience): 5 -7 years of experience in machine learning engineering or applied ML roles. Advanced proficiency in Python, with strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch. Solid understanding of core ML concepts: supervised/unsupervised learning, cross-validation, bias-variance tradeoff, evaluation metrics (ROC-AUC, F1, MSE, etc.). Hands-on experience deploying ML models using: Azure ML (Endpoints, SDK), AKS, ACI Vertex AI (Endpoints, Workbench), Cloud Run, GKE Familiarity with cloud-native tools for storage, compute, and orchestration: Azure Blob Storage, ADLS Gen2, Azure Functions GCP Storage, BigQuery, Cloud Functions Experience with containerization and orchestration (Docker, Kubernetes, Helm). Strong understanding of CI/CD for ML, model testing, reproducibility, and rollback strategies. Experience implementing drift detection, model explainability (SHAP, LIME), and responsible AI practices. • Strong Python development skills (FastAPI, Pandas, requests, etc.). • Experience working with RESTful APIs, authentication (OAuth, API keys), and pagination. • Knowledge of LLMs and entity extraction techniques using Azure OpenAI or equivalent models. • Experience with prompt engineering and response formatting (JSON, Markdown, tabular). • Familiarity with search engineering concepts: query understanding, result ranking, context optimization. Preferred candidate profile

Primary Skills (Must have hands on Exp): Gen AI, RAG, LLM, Agentic AI, Data Science, Python, AI/ML, API Integration GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. • Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. • Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. • Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability. • API Integration: Experience in integrating OpenAI models into software applications using OpenAI APIs. • Documentation: Excellent documentation and communication skills. Role & responsibilities As a Technical Architect with expertise in OpenAI technology, you will play a pivotal role in the design, implementation, and optimization of AI applications and systems. You will collaborate closely with cross-functional teams, software engineers, data scientists, and product managers to ensure the successful deployment of OpenAI technology. Your responsibilities will include: Primary Responsibilities: • AI Solution Design: Lead the design of AI solutions powered by OpenAI technology, defining system architecture and components. • Technical Leadership: Provide technical leadership and guidance to development teams in implementing OpenAI solutions. • OpenAI Model Selection: Identify and recommend the appropriate OpenAI models, such as GPT-3, GPT-4, or specific language models, based on project requirements. • Scalability and Performance: Ensure that AI solutions are scalable and optimized for performance, especially when dealing with large datasets. • API Integration: Integrate OpenAI APIs and SDKs into applications and services, ensuring seamless functionality. • Model Fine-Tuning: Collaborate with data scientists to fine-tune OpenAI models for specific use cases or domains. • Data Processing: Oversee data preprocessing and feature engineering to prepare data for input into OpenAI models. • Security and Compliance: Address security and compliance considerations in OpenAI-powered solutions, particularly when handling sensitive data. • Documentation: Create and maintain technical documentation for OpenAI architectures, model usage, and best practices. • Training and Mentorship: Mentor team members and facilitate knowledge sharing and skill development. • Conduct code reviews and refactoring wherever possible Preferred candidate profile

Responsibilities Job Responsibilities: Lead the development of Gen AI solutions, including design, implementation, and deployment of AI models and systems Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions to drive growth and efficiency Design and implement scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc. Develop and maintain large-scale AI systems, ensuring high performance, reliability, and security Lead and mentor a team of AI developers, providing guidance and expertise to ensure high-quality deliverables Stay up-to-date with the latest advancements in Gen AI, Prompt Engineering, and related technologies, applying this knowledge to drive innovation and improvement Develop and maintain technical documentation, including architecture diagrams, design documents, and technical guides Participate in code reviews, ensuring high-quality code and adherence to coding standards and best practices Additional Responsibilities: Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field (B.E/B.Tech/M.E/M.Tech/MCA) At least 5-8 years of experience in software development, with a minimum of 2 years of experience in Gen AI Strong proficiency in LangChain, Python, Gen AI, Agentic AI, and Prompt Engineering Excellent communication, teamwork, problem-solving, and leadership skills Technical and Professional Requirements: Preferred Qualifications: Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI Experience with cloud-based AI platforms, such as AWS or Azure Knowledge of containerization technologies, such as Docker Familiarity with agile development methodologies, such as Scrum or Kanban Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch Strong understanding of software design patterns, principles, and best practices Experience with DevOps practices, including continuous integration and continuous deployment (CI/CD) Certification in AI, machine learning, or related fields, such as Certified Data Scientist or Certified AI Engineer Preferred Skills: Technology->OpenSystem->Python - OpenSystem->Flask Technology->Artificial Intelligence->Artificial Intelligence - ALL Technology->Machine Learning->Python Technology->Programing language C->go lang Technology->Machine Learning->Generative AI->retrieval augmented generation (rag) Educational Requirements Bachelor of Engineering Service Line Information Systems

Roles and Responsibilities Develop and maintain Microservice architecture and API management solutions using REST and gRPC for seamless deployment of AI solutions. Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. Familiarity with tools like Terraform, CloudFormation, and Pulumi for efficient infrastructure management. Create and manage CI/CD pipelines using Git-based platforms (e.g., GitHub Actions, Jenkins) to ensure streamlined development workflows. Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments. Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development. Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs. Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling. Design and execute rigorous A/B tests for machine learning models, analyzing results to drive strategic improvements and decisions. Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function. Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment. Technical Skills: Advanced proficiency in Python . Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques Experience with big data processing using Spark for large-scale data analytics Version control and experiment tracking using Git and MLflow Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. Experience in creating LLD for the provided architecture. Experience working in microservices based architecture. Domain Expertise: Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation Expertise in feature engineering, embedding optimization, and dimensionality reduction Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing Experience with RAG systems, vector databases, and semantic search implementation Proficiency in LLM optimization techniques including quantization and knowledge distillation Understanding of MLOps practices for model deployment and monitoring Professional Competencies: Strong analytical thinking with ability to solve complex ML challenges Excellent communication skills for presenting technical findings to diverse audiences Experience translating business requirements into data science solutions Project management skills for coordinating ML experiments and deployments Strong collaboration abilities for working with cross-functional teams Dedication to staying current with latest ML research and best practices Ability to mentor and share knowledge with team members

Job description: AI/ML/Gen AI Technology Lead Location: Andheri, Mumbai Education: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field with substantial experience in AI/ML engineering. Job Type: Full-Time Responsibilities: 1) Experience in programming languages such as Python, R, or Java. Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of deep learning, image processing, video analytics, and NLP techniques. 2) Experience in AI/ML Model Development, Agentic AI, Image Analytics, Voice Analytics, Text Analytics, Cloud & Infrastructure, Integration & Deployment. Hands on experience on implementation of LLM Models & Generative AI. 3) Hands-on experience with cloud platforms like AWS and Azure, including: AWS: Amazon SageMaker, AWS Lambda, AWS Glue, Amazon Redshift. Azure: Azure Machine Learning, Azure Databricks, Azure Synapse Analytics, Azure Cognitive Services. If interested, please share cv on priya@hrworksindia.com

Key Responsibilities Design, develop, and implement custom applications using CoPilot Studio, ensuring alignment with business requirements. Integrate and maintain communication tools and services utilizing the Azure Communication Framework. Collaborate with product owners and technical leads to design effective workflows and solutions. Develop, test, and deploy end-to-end solutions, ensuring scalability, reliability, and maintainability. Troubleshoot, debug, and optimize applications for maximum performance and functionality. Conduct code reviews and follow best practices for code quality, version control, and testing. Stay updated with the latest trends and developments in Microsoft CoPilot, Azure technologies, and other relevant tools to enhance solutions. Skills : - Data Processing, Generative AI, Machine Learning, NLP, Co-Pilot Studio, MLops, Agentic AI, Microsoft CoPilot Studio, Azure Communication Framework, custom applications, business requirements, communication tools, service integration, product owners, technical leads, workflow design, solution design, end-to-end solutions, scalability, reliability, maintainability, troubleshooting, debugging, performance optimization, code reviews, code quality, version control, testing best practices, Microsoft CoPilot, Azure technologies, software development, application development, cloud integration, modern development tools, technical collaboration.

Develop intelligent AI agents using LLaMA-based models with agentic behavior (memory, planning, reflection, tool use). Architect and implement modular agentic frameworks using open-source libraries (e.g., LangChain, AutoGen, OpenAgents).

Were seeking a forward-thinking Gen AI Engineer to design, implement, and optimize cutting-edge agentic AI solutions using frameworks such as Crew.ai , LangChain , and LangGraph . You will work at the intersection of LLMs , Retrieval-Augmented Generation (RAG) systems, and NLP , enabling impactful AI applications across diverse domains. Key Responsibilities Design and deploy autonomous AI agents and multi-agent systems using LLMs such as GPT-4o, Claude, and LLaMA, leveraging Crew.ai, LangChain (and LangGraph). Own the AI solution lifecycle , including data acquisition, model experimentation, fine-tuning, deployment, and production monitoring. Develop scalable AI backends and pipelines using Python with frameworks like PyTorch or TensorFlow, deploying via REST APIs (FastAPI) on cloud platforms like AWS or Azure. Implement RAG-based systems by integrating open-source LLMs (via Hugging Face or Ollama) with vector databases (e.g., Pinecone, ChromaDB) and structured data stores (SQL/NoSQL). Collaborate with cross-functional teams to ensure reliable, maintainable, and impactful AI solutions. Required Skills & Experience 2 to 5 years of experience in AI/ML, NLP, Generative AI, with a focus on agentic AI systems . Strong proficiency in Python and hands-on experience building RAG systems and deploying open-source LLMs. Experience developing AI-driven backends and services with a strong understanding of scalability and performance. Familiarity with vector search technologies, database integration, and cloud-native architectures. Excellent communication and collaboration skills; ability to work effectively in a team environment. Education B.Tech/B.E. or M.Tech/M.E. in Computer Science, AI/ML, or a related field. Role: Gen AI Engineer Designation: AI Developer Experience: 2-5 Years (AI/ML, NLP, Generative AI): Location: Pune

Role & responsibilities Proven experience in end-to-end AI implementation Strong hands-on expertise in RAG (Retrieval-Augmented Generation) and Natural Language Processing (NLP) Demonstrated ownership of at least 2 AI use cases from design to deployment Experience with vector databases, embeddings, and prompt engineering Ability to work independently and collaborate with cross-functional teams Develop and implement AI solutions leveraging expertise in Analytics and Data Mining across Web, Social, and Big Data platforms. Good understanding and implementation of Generative AI for content generation, creative applications, and problem-solving across various domains. Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products. Utilize Machine Learning techniques for pattern recognition and inference to enhance existing products and develop new strategic initiatives. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Collaborate with cross-functional teams to integrate Natural Language Processing and Computational Linguistics into product development processes. Apply Statistical Modeling and Econometrics to analyze data and derive actionable insights for quantitative marketing strategies and to make predictions based on historical data. Contribute to the design and optimization of Large Scale Distributed Systems and Cloud Computing infrastructure. Enhance user experience through Human-Computer Interaction principles and Information Visualization techniques. Preferred candidate profile Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or a related technical field. Proven experience in building and scaling AI-powered applications , preferably as part of SaaS products . Strong hands-on development skills in any modern programming language (e.g., Python, Java, Node.js, Go, etc.) language is flexible, but product-thinking is a must . Deep understanding of AI/ML concepts , including NLP, deep learning, and predictive analytics – especially from an application integration perspective. Practical experience applying AI to solve real business problems , not just experimentation or research. Sound knowledge of search systems , data modeling , and information retrieval – especially how users interact with large or complex datasets. Familiarity with cloud environments (AWS/GCP/Azure) and microservice-based architectures. Strong experience working with APIs, distributed systems, and cloud-native tools like S3, Redshift, Spark, etc. Bonus: Experience in building intelligent UIs or AI copilots for enterprise or productivity tools. Ability to own features end-to-end and collaborate closely with product managers and designers. Comfortable in fast-paced, cross-functional, startup-like teams. Perks and benefits Five Reasons You Should Join Tario: 1. Cutting-Edge Agentic AI Work: We are leveraging Agentic AI—the next-gen of AI where systems think and act like autonomous agents, not just passive tools 2. Clear Product-Market Fit: It’s tech that’s driving business value : more meetings, shorter sales cycles, higher response rates. Joining now means becoming part of a company with early traction and growth momentum . 3. High-Impact Roles & Ownership: As a growing company, Tario likely offers greater autonomy , faster decision-making , and the chance to wear multiple hats. 4. Solving a Universal Problem: Outbound sales are hard—most emails go unopened, and SDRs are overwhelmed. Tario's AI solves that pain with precision personalization at scale. 5. Strong Learning Curve: You will be exposed to the State-of-the-art AI/ML workflows, sales tech ecosystem (CRM integrations, outreach automation, engagement tracking), fast-paced product iteration and startup-style growth.

Job Position (Title): Agentic AI Experience Required: 3 - 9 Years No of Position: 4 Job Type: FTE Location: Hyderabad Required Skills 3 to 7 years of hands-on experience in AI/ML, with at least 12 years specifically in Agentic AI or autonomous agents. Strong proficiency in Python and familiarity with AI libraries such as Hugging Face Transformers, LangChain, and OpenAI APIs. Experience with tools like AutoGen , CrewAI , and LangGraph . Deep understanding of RAG pipelines , LLM fine-tuning , and embedding-based retrieval systems . Hands-on experience with vector databases like FAISS, Pinecone, or similar. Solid foundation in machine learning, NLP, and data structures. Excellent communication skills and ability to work in a collaborative environment Role and Responsibilities Design, build, and deploy intelligent autonomous agents using Agentic AI frameworks like AutoGen , CrewAI , and LangGraph . Implement RAG (Retrieval-Augmented Generation) pipelines to enhance response accuracy and contextual relevance. Work with vector databases (e.g., FAISS, Pinecone, Weaviate) for knowledge storage and semantic search. Fine-tune large language models (LLMs) for specific tasks using tools like LoRA, PEFT, or full model training. Collaborate with product, research, and engineering teams to understand user needs and create agent-based workflows. Integrate APIs and services to create complex multi-agent systems capable of task delegation and coordination. Continuously evaluate and improve system performance, scalability, and reliability. Preferred Qualifications Prior experience deploying LLM-based agents in production. Knowledge of prompt engineering and agent orchestration. Contributions to open-source AI/agent frameworks.

Key Responsibilities: Agentic AI solution implementation leveraging Azure ecosystem, open-source RPA tools and scripting solutions where needed. Automation Solution Development : Create, deploy, and optimize automation workflows and BOTs using Agentic AI frameworks like Autogen. Leverage AI-driven processes to enable smart automation in business operations. Hands-on Cloud Integration : Design and implement automation solutions that integrate seamlessly with Microsoft Azure services (such as Azure Functions , Logic Apps , Azure Storage ) and other cloud-based tools to improve scalability and performance. AI and Python Libraries : Utilize Agentic AI frameworks for enhancing automation processes, and use Python libraries like Playwright for web automation, browser interaction, and testing. Implement machine learning models or AI algorithms where applicable to automate decision-making and data processing tasks. Scripting & Customization : Develop custom scripts in languages such as Python , PowerShell , JavaScript , and others to extend the functionality of RPA solutions, optimize workflows, and troubleshoot complex scenarios. Stakeholder Engagement : Collaborate with business analysts, IT teams, and key stakeholders to gather requirements, align automation goals with business priorities, and ensure automation solutions meet the desired business outcomes. Process Optimization : Continuously monitor, analyze, and optimize existing automation systems to enhance performance, reduce processing times, and ensure robustness. Identify opportunities to further automate manual processes across departments. Technical Leadership & Mentorship : Provide leadership, mentorship, and training to Agentic AI developers and junior engineers. Share best practices and foster a collaborative environment to ensure high standards of automation development.

We're seeking an experienced AI/ML Engineer who thrives on curiosity and innovation to join our dynamic engineering team. This role offers an exciting chance to tackle impactful real-world machine learning challenges and play a key part in developing advanced, state-of-the-art AI solutions. Role & responsibilities Architect, train, fine-tune, and distill LLMs and deep-learning models for NLP, generative AI, and agentic AI applications. Assist in designing, developing, and training machine learning models using structured and unstructured data Conduct thorough testing, evaluation, benchmarking, and validation to ensure performance and robustness Deploy models into production using MLOps pipelines (CI/CD, versioning, monitoring) Optimize models and inference pipelines for latency, throughput, and compute efficiency Mentor junior engineers and collaborate cross-functionally with data engineers, DevOps, product managers Curate, cleanse, and transform extensive datasets to prepare them for robust model development. Conduct insightful exploratory data analysis and apply advanced statistical modeling techniques. Execute systematic experiments, optimize hyperparameters, and rigorously assess models using established performance metrics. Maintain comprehensive documentation detailing model architectures, data pipelines, and experimental outcomes. Develop and integrate AI-enhanced tools including web-search functionalities, intelligent image editing, and related applications. Support in integrating AI/ML models into production environments Skill Sets We Require- Frameworks: PyTorch (latest, including TorchDynamo), TensorFlow 2.x Finetuning & Distillation: Implement teacherstudent training, supervised finetuning, responsebased distillation and Transorfermers. Model Lifecycle Hands-on experience with Python and ML libraries such as scikit-learn, pandas, NumPy. Understanding of probability, statistics, and linear algebra APIs & Storage: RESTful APIs, ONNX, SQL/NoSQL databases, S3 Buckets. CI/CD: Git, GitHub Actions, Docker Registry, automated testing & deployment (Good to have) Required Qualifications- Btech/BE in Computer Science or Equivalent Field 4+ years of hands-on experience in training, tuning, and deploying LLMs and deep-learning models. Proficient with PyTorch, Transformer frameworks