Role : AI/ML Senior Engineer Job Description We are looking for an AI/ML Senior Engineer with expertise in Natural Language Processing (NLP), Generative AI, and Machine Learning (ML) to be a part of our AI Engineering team. The ideal candidate will work on cutting-edge AI models, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI Systems, to develop and deploy AI-driven solutions. Roles & Responsibilities Develop and optimize AI models leveraging LLMs, RAG, and Agentic Systems for real-world applications. Fine-tune and optimize LLMs for domain-specific tasks, ensuring scalability and efficiency. Design and implement Retrieval-Augmented Generation (RAG) pipelines to enhance information retrieval and reasoning. Apply Prompt Engineering techniques to refine and optimize LLM outputs. Integrate and deploy AI models into production environments, ensuring high performance and reliability. Support and maintain AI-powered client-facing applications, continuously improving model effectiveness. Stay updated with advancements in NLP, Generative AI, and Machine Learning to enhance AI capabilities. Must-Have Competencies Strong Python programming skills, with experience in AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, Haystack, LangChain, etc. Good understanding of LLMs and Generative AI, including OpenAI, Anthropic, Mistral, Llama, etc. Experience with Retrieval-Augmented Generation (RAG) for improving AI-driven search and reasoning. Proficiency in Prompt Engineering to optimize AI-generated responses. Understanding of Agentic AI Systems and multi-agent workflows. Strong foundation in ML & NLP, including transformer models, embeddings, and vector search. Mathematical & Analytical skills for designing AI solutions. Ability to work effectively in an AI team and contribute to AI research and development. Qualifications BTech/MTech/MSc in Computer Science, AI, Computational Linguistics, or a related field. 3 to 7 years of experience in NLP, Machine Learning, or Generative AI projects. (ref:hirist.tech) Show more Show less

Job Summary We are seeking an experienced Full Stack Technical Lead to drive the development of a next-generation AI SaaS platform that serves as a copilot for financial advisors. As a leader in a dynamic team, youll manage end-to-end application architecture, design, and deployment while collaborating with cross-functional teams, including UX design, DevOps, and QA. This role is pivotal in delivering an exceptional user experience for our clients in the financial services industry. Key Responsibilities Lead Full Stack Development : Architect and develop scalable, reliable, and performant web applications using Python, Django, and Flask on the backend, and Angular, HTML, CSS, and JavaScript on the frontend. Platform Design & Development : Collaborate with UX designers to build intuitive, high-performing user interfaces and deliver exceptional user experiences tailored to financial advisors. Code Quality & Testing : Ensure the delivery of robust, quality-driven code through best practices in testing and QA. DevOps Leadership : Set up and manage CI/CD pipelines, containerization, and orchestration using DevOps tools (Docker, K8S, Jenkins, HAProxy, NGINX, and Sentry) to optimize the development workflow. Database Management : Oversee the design and optimization of databases using MongoDB, Redis, and ELK to ensure data integrity and performance. Collaborate with Cross-functional Teams : Work closely with Product Managers, UX Designers, QA, and other engineering teams to align project objectives with platform goals. Mentorship and Guidance : Mentor junior developers, promote a high-performance culture of continuous learning, and drive team : Education : Bachelor's or Masters degree in Computer Science, Software Engineering, or related field. Experience : Minimum of 7 years of software development experience, with at least 3 years in a technical lead role, ideally within an AI SaaS Product environment. Technical Skills Languages & Frameworks : Proficient in Python (Django, Flask), Angular, HTML, CSS, and JavaScript. Experience with CSS preprocessors (Sass, Less) DevOps : Experience with Docker, Kubernetes; CI/CD Tools (Jenkins, GitLab CI/CD, GitHub Actions) Database : Hands-on experience with NoSQL (MongoDB) and SQL (PostgreSQL, MySQL) databases API design : Understanding of API design (RESTful and GraphQL) and microservices architecture. Testing & QA : Familiarity with automated testing frameworks and best Design : Ability to design scalable, high-performance applications. Knowledge of architectural patterns (MVC, MVVM, Microservices). Understanding of distributed systems, caching mechanisms, and data Skills : Strong problem-solving, troubleshooting and analytical skills. Ability to manage multiple projects and meet tight deadlines. Excellent communication skills to work effectively across teams. Mentorship experience and a collaborative, team-oriented mindset. Nice-to-Have Skills UX Design and Development experience, particularly with a focus on enhancing the user journey in AI driven Copilot applications. Familiarity with Financial or Wealth Management Applications is an added advantage. What We Offer Career Development : Opportunities for growth and advancement in a rapidly expanding SaaS AI Product Company. Collaborative Culture : Join a diverse, collaborative team where every voice matters. Competitive Benefits : Comprehensive healthcare, remote work options, and support for continued learning and development. Join us to make an impact in transforming financial advisory services with cutting-edge AI technology! (ref:hirist.tech) Show more Show less

About the Role: We are looking for a dynamic AI & Software Engineer to join our Transformation & AI team. This role is ideal for someone passionate about bringing the power of AI into real-world business problems.You will be responsible for leading the implementation of AI solutions using Microsoft’s Azure ecosystem, including Azure OpenAI, Copilot frameworks, and Microsoft 365 integrations.The ideal candidate is hands-on, thrives in ambiguity, and can rapidly translate business challenges into technical solutions, excited about prototyping AI agents, building quick PoCs, and shaping strategic AI initiatives. Key Responsibilities: • Lead the design and development of AI solutions using Azure AI services, includingAzure OpenAI, Cognitive Services, Azure Machine Learning, and Microsoft CopilotSDKs. • Work closely with business stakeholders to identify high-impact opportunities forAI-driven transformation across back-office operations. • Build, test, and iterate on proof-of-concepts (PoCs) and pilots that solve realbusiness problems quickly. • Integrate AI agents and copilots into existing business workflows using MicrosoftPower Platform, Graph API, and Teams/365 ecosystem. • Collaborate with business and software engineering teams to productionizesuccessful PoCs and ensure adherence to full Software Development Lifecycle(SDLC) practices. • Stay on top of the evolving AI/ML landscape, especially within Microsoft’s AIecosystem, and bring new ideas into the organization. Qualifications : • Bachelor’s or Master’s degree in Computer Science, Software Engineering, DataScience, or a related field. • 6+ years of experience in software development, with at least 3+ years focusedon AI/ML solutions. • Proven experience with Azure AI services (Azure OpenAI, Cognitive Services, AzureML). • Hands-on experience building copilots or intelligent agents using Microsoft 365Copilot SDK, Teams Toolkit, or Power Platform. • Hands-on experience on Azure Cloud Services such as FunctionApps, LogicApps,AppServices, and CosmosDB. • Strong programming skills in Python, C#, or JavaScript/TypeScript. • Experience working within Agile SDLC processes, with a deep understanding of bestpractices for scalable software delivery. • Familiarity with DevOps practices and CI/CD pipelines on Azure DevOps or GitHubActions. • Excellent problem-solving skills and strong communication and collaboration skillsto effectively work with technical and non-technical stakeholders.• Hands-on experience with Salesforce integration and RPA tools – UI Path, PowerAutomate etc. Preferred Skills: • Azure cloud certification. • Experience with Power Automate and familiarity with Process Automation tools. • Experience with Retrieval-Augmented Generation (RAG), vector databases (e.g.,Azure Cognitive Search, Pinecone, or Qdrant). • Knowledge and/or experience with LLM frameworks for building Agentic AI like -LangChain, CrewAI, n8n etc. • Experience integrating LLMs into business process workflows and chat-based UI(Teams, Power Apps, etc.). • Exposure to enterprise business processes in operations, finance, HR, or legalfunctions. • Prior experience in building citizen-developer enablement or AI CoE initiatives is astrong plus.