6 Ai Agent Jobs

Job Title: AI Agent Developer - Azure AI & OpenAI Platform Location: Pune (Hybrid 3 days onsite per week) Experience: 2+ years Employment Type: Full-time About the Role We are looking for an experienced AI Agent Developer to join our team and help design and implement AI-powered agents using Azure OpenAI , Azure AI Search , and related components of the Microsoft AI platform . This role is ideal for someone passionate about conversational AI, retrieval-augmented generation (RAG), and building intelligent automation across enterprise systems. Key Responsibilities Develop and deploy AI agents using Azure OpenAI Service , Azure AI Search , and Azure Cognitive Services Build intelligent workflows using RAG techniques to enhance knowledge retrieval and contextual responses Integrate AI agents with Microsoft tools like Power Automate , AI Builder , Azure Bot Services , and other enterprise systems Design conversational workflows that connect to APIs, databases, and internal tools Improve the accuracy, scalability, and performance of AI solutions in a cloud-native environment Apply prompt engineering strategies to optimize agent interaction quality Collaborate with cross-functional teams to understand requirements, prototype AI solutions, and support production rollouts Ensure solutions meet enterprise standards for security , compliance , and data governance Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, or a related field 2+ years of experience in AI/ML development, with a focus on Microsoft Azure Strong hands-on experience with: Azure OpenAI Service Azure AI Search , including semantic search and entity recognition Azure AI Foundry , Model Catalog , Document Intelligence Proficiency in Python or C# Familiarity with REST APIs , GraphQL , and enterprise data integrations Understanding of cloud-native development and DevOps practices Prior experience designing or deploying RAG pipelines is highly desirable Work Model Hybrid work model based in Pune Requires 3 days per week from office

We are seeking a hands-on Software Developer to design, build, and maintain AI-driven agents that automate administrative workflows and seamlessly integrate with SAP Business One. Youll work closely with our IT and operations teams to identify automation opportunities, architect AI solutions, and extend SAP B1’s capabilities via custom queries and APIs. Role & responsibilities AI Agent Development: Architect, develop, and deploy AI-powered bots/agents (e.g., leveraging GPT, Lang Chain, RAG frameworks) to automate repetitive admin tasks (e.g., report generation, vendor communications, invoice processing). Continuously evaluate and tune NLP models for accuracy and performance in business contexts. SAP Business One Integration: Design and implement integration layers between AI agents and SAP B1 (using DI API, Service Layer, B1if). Build and optimize SQL/HANA queries and stored procedures to read from and write to SAP B1 data tables. Solution Design & Documentation: Collaborate with business stakeholders to map requirements into technical specifications. Produce clear design documents, API specifications, and user guides for non-technical teams. Testing & Quality Assurance: Develop automated test suites (unit, integration, end-to-end) for both AI components and SAP B1 customizations. Perform code reviews, security assessments, and performance profiling. Maintenance & Support: Monitor production systems, troubleshoot integration failures, and apply patches or enhancements. Provide level-2 support for automated workflows and SAP B1 extensions. Continuous Improvement: Stay up to date on emerging AI/ML techniques, SAP B1 feature updates, and best practices in enterprise automation. Propose and prototype new automation scenarios to drive efficiency gains. Required Qualifications & Skills- Technical Skills: Programming Languages: Proficiency in one or more of C#, Python, or JavaScript/TypeScript. AI/ML Frameworks: Experience with large-language models (e.g., OpenAI API), LangChain, RAG, or similar toolkits. SAP B1 Expertise: Strong hands-on experience with SAP Business One SDK, DI API or Service Layer. Ability to construct, optimize, and debug complex SQL queries against HANA or MS SQL databases. Integration: Familiarity with RESTful APIs, web services, and message brokers (e.g., RabbitMQ, Kafka). DevOps: Experience with CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions) and containerization (Docker). Analytical & Communication Skills: Strong problem-solving aptitude with attention to detail. Excellent written and verbal communication; able to translate business needs into technical designs. Ability to work independently and as part of a multidisciplinary team. Preferred Experience & Attributes:- Prior exposure to ERP implementation projects, ideally SAP B1 roll-outs or upgrades. Hands-on with cloud platforms (Azure, AWS, or GCP) and serverless compute for hosting AI services. Familiarity with UI-automation tools (e.g., Power Automate, UiPath) for hybrid automation scenarios. Knowledge of security best practices for data privacy and API management. Certification in SAP Business One (development or consulting track) or relevant AI/ML credentials. To Apply: Email your resume to hrcor@sdfine.com with a brief cover letter highlighting any past AI/SAP integration projects. We look forward to exploring how your expertise can drive efficiency and innovation in our organization..!!!

We're hiring an AI Agent Developer (Copilot Studio) with 3–8 YOE in Microsoft Copilot Studio, Power Platform, LLM-based frameworks (LangChain, ReAct, OpenAI), and REST API integrations. JD: https://tinyurl.com/aidev-copilotstudio

Job Title: Generative AI Architect Location: Chennai Job Type: Full-time Experience Level: 10+ years About the Role: We are seeking an experienced Generative AI Architect to lead cutting-edge AI/ML initiatives, driving innovation and shaping AI strategies. The ideal candidate will have a strong foundation in data science, deep learning, and enterprise-level AI deployments, particularly in LLMs and foundation models . Key Responsibilities: Lead end-to-end data science projects focused on Generative AI applications. Develop and implement novel ML/AI solutions for complex business challenges. Design and conduct experiments to evaluate and optimize model performance. Build and maintain RAG (Retrieval-Augmented Generation) pipelines for knowledge integration. Create reusable prompt engineering patterns and templates. Analyze and optimize model performance, scalability, and costs. Collaborate with engineering teams for production deployment of AI models. Present findings and insights to both technical and non-technical stakeholders. Mentor junior data scientists and provide technical guidance. Ensure data quality and maintain comprehensive documentation. Research and evaluate emerging GenAI technologies and best practices. Identify AI adoption opportunities within business teams. Develop metrics and KPIs to measure model effectiveness. Contribute to data science best practices and industry standards. Required Qualifications: 10+ years of experience in Data Science, Machine Learning, and AI . Ph.D. in a relevant field preferred (or equivalent experience). Strong foundation in statistics, machine learning, and deep learning . Expert-level proficiency in Python and data science libraries (Pandas, Scikit-Learn, etc.). Hands-on experience with LLMs and foundation models (GPT, BERT, etc.). In-depth knowledge of NLP techniques and transformer architectures . Proven track record of deploying ML/AI solutions in production environments. Experience with prompt engineering and LLM integration. Proficiency in vector embeddings, similarity search, and recommender systems . Strong SQL skills and experience with big data technologies . Familiarity with experiment tracking and model versioning tools . Experience with RAG (Retrieval-Augmented Generation) pipelines . Understanding of model evaluation metrics and A/B testing . Strong data visualization skills and ability to communicate insights effectively. Preferred: Experience with model fine-tuning and optimization . Technical Stack: Programming: Python (OOPs, Scikit-Learn, TensorFlow/PyTorch, FastAPI) LLM & GenAI: LangChain with complex RAG orchestrations , LangGraph with custom agent orchestration Databases: VectorDB (Milvus, Weaviate, Chroma), SQL, NoSQL (MongoDB, Redis) Cloud & Infrastructure: AWS (SageMaker, Bedrock, Lambda), Docker, API Development Why Join Us? Work with cutting-edge AI technologies and drive innovative AI solutions . Collaborate with a team of highly skilled AI/ML professionals . Competitive compensation and benefits package. Opportunity for professional growth in an AI-first organization. If you are passionate about Generative AI and LLMs , wed love to hear from you! Apply now to be part of a team that's shaping the future of AI.

Project Description: Grid Dynamics wants to build a centralized, observable and secure platform for their ML, Computer Vision, LLM and SLM models. Grid Dynamics wants to onboard a vast number of AI agents, able to cover multiple required skills, ensuring a certain level of control and security in regards to their usage and availability. The observable platform must be vendor-agnostic, easy to extend to multiple type of AI applications and flexible in terms of technologies, frameworks and data types. This project is focused on establishing a centralized LLMOps capability where every ML, CV, AI-enabled application is monitored, observed, secured and provides logs of every activity. The solution consists of key building blocks such monitor every step in a RAG, Multimodal RAG or Agentic Platform, track performances and provide curated datasets for potential fine-tuning. Alignment with business scenarios, PepVigil provides also certain guardrails that allow or block interactions user-to-agent, agent-to-agent or agent-to-user. Also, Guardrails will enable predefined workflows, aimed to give more control over the series of LLM chains. Details on Tech Stack Job Qualifications and Skill Sets Advanced degree in Data Science, Computer Science, Statistics, or a related field Setting up Agent Mesh (LangSmith) Setting up Agent communication protocols (JSON/XML etc) Setting up message queues, CI/CD pipelines (Azure Queue Storage, Azure DevOps) Setting up integrations Langgrah, LangFuse Knowledge on Observability tool Arize-Phoenix tools Managing Agent Registry, Integrating with AgentAuth framework like Composio Setting up AgentCompute (Sandpack, E2BDev, Assistant APIs) Integration with IAM (Azure IAM, OKTA) Performing/Configuring Dynamic Orchestration and agent permissions Tech Stack Required: ML MLOPs Agent (Agent / Agent Mesh) LangFuse, LanChain, LangGraph Deployments (Docker, Jenkins, Kubernetes) Cloud Platforms: Azure/AWS/GCP We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office

• Experience in machine learning, data mining and analysis for model development, validation, implementation in product integration. • Experience in large-scale data processing frameworks and technologies. • Programming languages- Python or Scala.