1265 Agentic Ai Jobs - Page 5

About Trinka AI Trinka AI ( www.trinka.ai ) is an AI-powered writing assistant designed for academic and technical writing. Built by experts in language and AI, Trinka goes beyond basic grammar checks to improve clarity, tone, and word choice. It corrects complex errors, follows academic style guides, and provides intelligent writing suggestions in real time. Trinka offers tools such as AI-assisted writing, a Paraphraser, AI Studio, Consistency Checks, Technical Checks, Language Quality Checks, Citation Checks, and a Proofread File feature to help users create polished, publication-ready documents. Available as a web app, browser plugin, Word add-in, and desktop app, Trinka also provides ent...

8+ years in AI/ML engineering, including 2+ years in a senior/lead role. Strong expertise in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn). Proven experience with FastAPI for serving ML/GenAI APIs. Hands-on experience with Generative AI/LLMs (Hugging Face, LangChain and LangGraph, Azure OpenAI, Vertex AI, etc.). Strong background in MLOps (CI/CD, ML pipelines, model registries, monitoring). Cloud expertise in Azure or GCP. Excellent leadership, mentoring, and stakeholder collaboration skills. Experience with vector databases (Pinecone, ChromaDB, FAISS, Azure AI Search, OpenSearch). Knowledge of prompt engineering, fine-tuning, and evaluation frameworks. Prior experience buildi...

Role & responsibilities 13+ years of software engineering experience, including 3+ years in Engineering Manager role. Proven success leading enterprise data-centric platforms, architecture modernization, or AI-driven application delivery. Strong technical expertise in .NET, modern web stacks, microservices, and cloud (Azure). Experience integrating structured and unstructured data workflows, including API - based and ML-augmented pipelines.

Your Role and Responsibilities Architectural Design: Design and implement scalable Gen AI solutions that align with business objectives. Develop system architectures for real-time and batch processing of AI models. Ensure seamless integration of Gen AI frameworks with existing systems. Model Development and Deployment: Lead the creation, training, and optimization of machine learning models. Oversee the deployment of models to production environments. Ensure models are explainable, robust, and compliant with ethical guidelines. Technology Leadership: Stay abreast of the latest advancements in Gen AI technologies and best practices. Evaluate and recommend tools, frameworks, and platforms for ...

We are looking for Gen AI Engineer with 4+years of handson Experience in Gen AI, Agentic AI , LangChain, LangGraph, RAG and ML models

About Client Hiring for One of the Most Prestigious Multinational Corporations! Job Description Job Title : Data Scientist Required skills and qualifications : Qualification : Any Graduate or Above Relevant Experience : AI ML (Machine learning) NLP LLM RAG Agentic AI Gen AI Location : Hyderabad CTC Range : 25-45 LPA Notice period : Currently serving / Immediate joiner Mode of Interview : Virtual Mode of Work : Hybrid Vaishnavi S Staffing analyst - IT recruiter Black and White Business solutions PVT Ltd Bangalore, Karnataka, INDIA vaishnavi.s@blackwhite.in I www.blackwhite.in +91 8067432430

Product Software Engineer Experience Range : 3 to 5.5 years Required Skills & Expertise-We are seeking a Senior Full Stack Developer with 3+ years of hands-on experience in the following areas: Technical Skills: . Backend Development: .NET Core, C#, WCF, RESTful APIs . Frontend Development: Angular, WPF, HTML, CSS . Database: SQL Server - writing optimized queries, stored procedures, and performance tuning . Cloud Technologies: Azure - including App Services, Azure Functions, Key Vault, and DevOps pipelines, containerization . DevOps & CI/CD: Experience with automated build and deployment pipelines . Gen AI and Agentic AI - beginner level understanding . Testing: Unit testing, integration te...

Role & responsibilities Generative AI Azure OpenAI Service Azure Cognitive Search / Azure Search Service Vector Database Embeddings (OpenAI / Azure-based) ChatGPT / GPT-4 / GPT Models Retrieval-Augmented Generation (RAG) LangChain LangGraph FastAPI Python RESTful API development OpenAI API Prompt Engineering Semantic Search Indexing and Embedding Pipelines Azure Machine Learning (Azure ML) Azure DevOps (ADO) O-auth based authontication Kubernetes / Docker (for AI microservices) Git & CI/CD Pipelines Experience with cloud-native architecture (preferably in Azure) Experience leading AI engineering teams

Role Overview: As a Senior ServiceNow Developer at our company, you will play a crucial role in the design, development, and configuration efforts on the ServiceNow platform. Working closely with the Solution Architect and Business Analyst, you will be involved in requirement gathering and solution validation. Your expertise in ServiceNow modules such as ITSM, HAM, SAM, IRM, and HRSD will be essential, along with experience in domain separation and multi-tenant configurations. Additionally, familiarity with generative AI capabilities, particularly using Now LLM on the ServiceNow platform, will be highly beneficial for enhancing automation and intelligent service delivery. Key Responsibilitie...

As a Technology Leader specializing in AI/ML and Generative AI, your role will involve architecting, designing, and implementing enterprise-grade AI platforms. Your expertise in LLMs, RAG, Agentic AI, and Azure AI Services will be crucial in driving the AI-first transformation journey for large enterprises. Additionally, you will be responsible for building AI-powered digital expert systems and leading teams to deliver scalable, secure, and business-aligned AI solutions. Key Responsibilities: - Architect and implement AI/ML and Generative AI platforms for large-scale enterprise adoption. - Develop RAG pipelines, Agentic AI workflows, and LLMOps frameworks using LangChain, LangGraph, and Hugg...

Seeking GENAI Engineer (2+ yrs exp). Must have hands-on LLMs, GenerativeAI, RAG expertise. Remote role. Python, PyTorch, cloud platforms required.Office Solution global consulting firm with $3B client value. Design AI models, implement RAG pipelines.

As a highly experienced AI/ML Engineer, you will be responsible for developing and deploying cutting-edge Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to work on document parsing, Named Entity Recognition (NER), Retrieval-Augmented Generation (RAG), chatbots, and intelligent document systems. Your passion for AI will drive you to work on large-scale, impactful projects. Your key responsibilities will include: - Developing ML & DL models to solve complex business problems and enhance product functionality. - Building and deploying personalized LLMs for various applications. - Designing and implementing document parsing, NER, RAG, chatbot, and document processing...

About Client Hiring for One of the Most Prestigious Multinational Corporations! Job Description Job Title : Data Science Engineer Qualification : Any Graduate or Above Relevant Experience : 7 to 12yrs Required technical skill: AI, ML.NLP, Gen ai or Agentic ai • Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI). • Proven experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, Kubeflow, Sagemaker MLOps, Azure ML Pipelines). • Strong SQL skills for data manipulation, analysis, and feature extraction from relational databases. • Experience with data preprocessing, feature engineering, and handlin...

Requirements GenAI (Core) Python-first implementation: Build LLM/RAG services in Python (FastAPI/asyncio, Pydantic), with clean APIs and tests. Agentic AI workflows: Tool-using agents (planning, memory, multi-step execution), function/tool calling, and recovery/fallback paths. Streaming responses: Server-streamed tokens from the model to the UI. RAG pipelines: Ingestion, chunking, embeddings, indexing, reranking; grounded answers with citations (pgvector/FAISS/Pinecone). Prompt management: Versioning, templates/params, safe fallbacks and rollback. Evaluations: Hallucination/groundedness checks, small regression suite for prompts/retrievers. Guardrails: PII detection/redaction, content safety...

Key Responsibilities: Design, build, and deploy scalable NLP/ML models for real-world applications. Fine-tune and optimize Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. Work with transformer-based architectures (e.g., BERT, GPT, LLaMA, T5, etc.). Develop GenAI applications using frameworks such as LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). Write clean, efficient, and testable Python code. Collaborate with data scientists, software engineers, and stakeholders to define AI- driven solutions. Evaluate model performance and iterate rapidly based on user feedback and metrics. Required Skills s Qualifications: 4+ years of experience in ...

Key Responsibilities • Analyze existing workflows and data pipelines to extract insights, identify areas of improvement, and propose recommendations. • Collaborate with internal teams and clients to operationalize findings. • Specialize in one of the following focus areas: o Data: Collection, curation, and synthetic data creation o Modeling: Multimodal post-training and agentic workflow creation o Evaluation: LLM and Agent benchmarking and performance analysis What We Look For • Strong communication and collaboration skills across technical and non technical audiences • Ability to work autonomously, self-motivated, ambitious • Client-facing mindset: active listening, clear articulation of fi...

AI Software Development Lead (AI-Assisted Development, GenAI, Agentic AI) Experience: 10+ years Location: [Pune/Hyderabad] Seniority Level: Lead / Principal IC About the Role Were seeking an AI Software Development Lead to spearhead AI-assisted software development adoption across BFSI projects and lead solutioning for client proposals and pre-sales engagements. Will champion vibe codingthe emerging practice of using LLMs and coding agents (e.g., GitHub Copilot, Cursor, Claude Code, etc.) to generate working code from natural-language instructions, iterating rapidly while enforcing quality and compliance. Your leadership will modernize engineering workflows and scale AI-first development pra...

Lead end-to-end deployment of GenAI use cases such as insights platforms, QnA/chatbots, knowledge assistants, or copilots. Architect, design, and deliver at least one Agentic AI solution from conception to production deployment.

• Must have: Azure Databricks, Pysparks, SQL, Devops(CI/CD), Azure services(ADF, ADLS, Event Hub), Gen AI, Data modelling • Good to have: Agentic AI, Streaming Analytics

Job Title: Lead AI/ML Engineer GenAI, LLMs & Automation Location: Bangalore (HSR Layout) Experience: 5+ years (including 3+ in Cloud) Role Summary We are building GenAI-driven assistants to transform how professionals learn, buy, and get support. Youll work closely with the CTO and lead the architecture, development, and deployment of LLM-powered solutionsincluding custom model training on proprietary datasets, RAG pipelines, and multi-agent systems. This is a full-stack AI roleyoull also drive infrastructure, DevOps, and observability across the GenAI stack to ensure production-grade performance, scalability, and automation. Must-Have Skills LLM fine-tuning and custom model creation using p...

Looking for an AI/ML Engineer skilled in Azure ML, Agentic AI, and Generative AI. Must design, develop, and optimize scalable AI models using Azure Cloud, OpenAI, Databricks, Python, and PySpark.

Role Overview: You are invited to work on Agentic AI, LLM, NLP, and CV projects as a Gen AI developer or Data scientist at EXL Services. The preferred experience for this role is 3 to 10 years. Key Responsibilities: - Develop Gen AI solutions for Agentic AI projects - Utilize LLM techniques for enhancing NLP projects - Work on Computer Vision (CV) projects using advanced algorithms - Collaborate with the team to deliver high-quality results Qualifications Required: - Bachelor's degree in Computer Science or related field - Proven experience in developing AI solutions - Strong knowledge of NLP techniques - Proficiency in computer vision algorithms - Excellent problem-solving skills and teamwo...

Role Overview: As a Lead Data Scientist at J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science team, you will be instrumental in developing innovative AI and ML solutions to enhance risk management and compliance processes. Your primary focus will be on leveraging advanced AI/ML techniques, Large Language Models (LLMs), and Agentic AI to design and deploy models for tasks such as anomaly detection, risk assessment, and compliance monitoring. By working with diverse datasets, you will contribute to improving risk management processes and ensuring regulatory compliance. Additionally, as part of a leading analytics community, you will have ample opportunities for skill dev...

As a ServiceNow Manager at EY, you will be part of the EY GDS-ServiceNow team, working to solve client problems using the ServiceNow platform. You will have the opportunity to work with a high-quality team and contribute to building innovative products that address client needs. **Key Responsibilities:** - Perform Configuration/Customization of the ServiceNow system, including creating workflows - Build service request fulfillment workflows based on customer requirements using workflows, UI actions, client scripts, business rules, etc. - Utilize scripting tools and ServiceNow functionality to automate routine tasks - Conduct integrations and process automation using Orchestration, Web Servic...

Role & responsibilities Develop agentic AI solutions to implement accelerated automation in the testing lifecycle. Collaborate with cross-functional teams to integrate AI agents in the developers IDE and devops pipeline. Ensure scalability, reliability, and security of cloud-native implementations. Participate in code reviews, testing, troubleshooting, and performance optimization. Document designs, workflows, and technical processes for maintainability and knowledge sharing. Build and evaluate AI/ML solutions for DevOps and engineering processes Driving architecture discussion and decisions to closure. Work in Agile methodology Build prototypes to demonstrate feasibility and business value ...