13 Agentic Workflows Jobs

Introduction Job Title: Principal Product Manager - Retail Intelligence Suite (Connected Retail Platform) Job Description About the Role: SymphonyAI is seeking a strategic and forward-thinking Principal Product Manager to lead the development of our Retail Intelligence Suite , a GenAI-powered platform unifying sales, shopper, assortment, pricing, promotion, and supply chain intelligence. This role is instrumental in delivering connected insights and intelligent workflows that drive measurable outcomes for retailers and CPGs. As a senior product leader, you will define and scale core intelligence capabilities, develop cross-functional use cases, and drive integration across CINDE applications and agentic Copilot experiences. Your focus will be on enabling real-time, predictive, and actionable insights that fuel smarter decision-making from HQ to store. What You Will Do: Define and execute the product vision and roadmap for the Retail Intelligence Suite across domains including POS sales analytics, shopper behavior, pricing, promo effectiveness, inventory/supply signals, and assortment performance. Build and launch AI-powered capabilities, including embedded Copilots, Agentic workflows, and scenario-based intelligence applications for merchandising, planning, and execution teams. Lead development of centralized dashboards and API-accessible data models that serve up dynamic, role-based recommendations across CINDE modules (e.g., Promo Optimize, Assortment Optimize, Store Intelligence). Drive integration of first-party, syndicated, and third party datasets to fuel real-time performance measurement, predictive modeling, and closed-loop optimization. Collaborate with platform engineering, ML teams, and UX to deliver high-performance, scalable, and intuitive user experiences across central office and store operations. Partner with customer success, sales, and marketing to develop go-to-market assets, sales enablement content, and pricing models for intelligence-driven features. Engage directly with clients and industry stakeholders to validate use cases, gather feedback, and shape future innovation. Support cross-domain product launches, acting as the strategic intelligence layer across assortment, promo, price, and execution planning applications. Ensure tight alignment with broader CINDE product vision, including semantic models, knowledge graph integration, and GenAI platform services. What You Will Bring to SymphonyAI: Proven experience in developing enterprise-grade AI or analytics platforms for retail or CPG use cases. Strong understanding of connected retail domains, including sales planning, promotional optimization, assortment strategy, shopper insights, pricing analytics, and supply chain signals. Demonstrated ability to translate complex data and ML models into actionable products that solve real user problems and drive adoption. Strategic mindset with a strong ability to influence executive stakeholders and cross-functional teams. Expertise in building products at the intersection of data, UX, and AI, with a bias for user-centric design and scalable architecture. Comfort with ambiguity and complexity; ability to prioritize and execute in fast-paced environments with evolving market needs. Qualifications: Bachelors degree in Business, Computer Science, Data Science, or a related field; MBA or advanced degree preferred. 10+ years of experience in product management, with at least 3-5 years in AI, analytics, or decision intelligence platforms. Experience in retail technology, particularly in merchandising, demand planning, promotion, pricing, or space/assortment optimization. Familiarity with AI/ML applications, GenAI/Copilot architectures, and data pipeline orchestration. Strong technical fluency, including experience with APIs, modern data stacks, and data visualization tools. Exceptional communication skills, with a proven track record of influencing product strategy and commercial success. About Us Why Join SymphonyAI Help shape the next generation of AI-powered connected retail solutions with a global impact. Collaborate with visionary leaders and top-tier talent in product, AI, engineering, and design. Join a fast-growing, mission-driven company committed to transforming high-impact industries with enterprise AI. Opportunity to lead in one of the most strategic product areas driving innovation across retail and CPG ecosystems. About SymphonyAI: SymphonyAI is building the leading enterprise AI SaaS company driving digital transformation in retail, CPG, finance, manufacturing, media, and IT. Since 2017, weve grown to serve 2,000+ global customers and employ over 3,000 professionals across 30+ countries, all united by our vision to deliver predictive, prescriptive, and autonomous AI solutions that deliver true business impact. Show more Show less

The role of an AI Architect involves leading the design and development of intelligent enterprise solutions powered by Microsoft Copilot, Azure AI, and agentic frameworks. This position presents a unique opportunity to influence the application of AI in practical business scenarios by integrating large language models, natural language interfaces, and multi-step intelligent workflows into enterprise systems. If you are enthusiastic about creating human-like, context-aware digital agents capable of automating, orchestrating, and transforming workflows, this role is tailored for you. Responsibilities include architecting and implementing AI solutions using Microsoft 365 Copilot, designing and developing agentic workflows across Microsoft 365 and Azure ecosystems, building use cases for various domains using agentic frameworks, creating extensible copilots by integrating enterprise data through various frameworks, designing natural language-driven user experiences, collaborating with cross-functional teams to transform requirements into scalable solutions, defining and promoting standards for prompt engineering, responsible AI, security, and performance optimization, and staying updated on Microsoft's AI roadmap and evolving capabilities. The ideal candidate for this role should have experience in building intelligent applications using REST APIs and SDKs, integrating AI into enterprise workflows and business logic, and working collaboratively with data scientists, architects, and engineering teams. Additionally, the candidate should possess a total of 10-15 years of IT industry experience, with a minimum of 4+ years in Azure AI solutions, enterprise architecture, or AI/ML-focused development roles. Preferred certifications include Azure AI Engineer Associate (highly recommended) and Azure Solutions Architect Expert (good to have). If you are a forward-thinking individual with a passion for AI and a strong background in Azure AI solutions, this role offers a platform to drive innovation and make a significant impact in the field of artificial intelligence.,

You will be joining a team at Leoforce that is at the forefront of revolutionizing talent acquisition through the development of AI-powered agentic bots. As a Backend Developer, you will play a crucial role in building and maintaining scalable backend systems that form the foundation of intelligent products. These systems enable the automation and enhancement of hiring processes through the integration of AI capabilities such as large language models and cutting-edge tools. Your responsibilities will include collaborating with AI and product teams to translate AI models and workflows into robust features, developing fast and fault-tolerant microservices for handling data flows, optimizing pipelines for engineering and model evaluation, ensuring code quality through testing frameworks, and staying updated on the latest advancements in AI tooling and backend architecture. We are looking for candidates with strong backend development experience in Python (preferably with FastAPI) or Java, hands-on experience integrating large language models, practical knowledge of RAG pipelines and agentic workflows, familiarity with AI orchestration tools, experience in evaluating and tuning model performance, and the ability to design fault-tolerant backend systems. Experience with relational databases, cloud platforms (especially AWS and Azure), and real-time systems is also desired. In addition to working with a passionate team focused on innovation and quality, you will have the opportunity to build cutting-edge AI-driven recruitment products that have a real impact on users. You will work on fast-paced systems with autonomy and responsibility, gaining deep experience in AI and backend systems that drive next-generation talent acquisition.,

You will be joining Leoforce, a company at the forefront of revolutionizing talent acquisition through the development of AI-powered agentic bots. As a Backend Developer, you will have the opportunity to work on the backend systems that are fundamental to these innovative products, enabling scalable, reliable, and fast AI-driven workflows. Your responsibilities will include designing, building, and maintaining scalable backend systems and APIs that incorporate AI capabilities such as large language models, RAG pipelines, and agentic workflows. You will collaborate closely with AI and product teams to translate AI models and workflows into robust, production-ready features. Developing fast, asynchronous, and fault-tolerant microservices to manage complex data flows related to users, candidates, and job information will also be a key aspect of your role. In this role, you will build and optimize pipelines to facilitate efficient engineering, model evaluation, and continuous enhancement of AI components. Ensuring code quality through testing frameworks and implementing monitoring systems to uphold reliability at scale will be crucial. Furthermore, you will be expected to stay up-to-date with the latest advancements in AI tools and backend architecture and apply this knowledge effectively. The ideal candidate for this position will possess strong backend development experience in languages like Python (preferably FastAPI) or Java, with a focus on scalable system design. Hands-on experience in integrating large language models into backend products, familiarity with RAG pipelines, agentic workflows, and prompt engineering, as well as practical knowledge of AI orchestration tools or frameworks, will be highly valued. Experience with evaluating and optimizing model performance, designing fault-tolerant backend systems, working with databases, and cloud platforms will also be beneficial for this role. If you join Leoforce, you will have the opportunity to work on cutting-edge AI-driven recruitment products that have a real impact on users. You will be part of a dynamic team working on fast-paced, production-grade systems, offering significant autonomy and responsibility. Collaboration with a team that is passionate about innovation and quality will be a key aspect of your experience at Leoforce, allowing you to gain deep expertise in AI and backend systems that drive the future of talent acquisition.,

About The Role Masai, in academic collaboration with a premier institute, is seeking a Teaching Assistant (TA) for its New Age Software Engineering program. This advanced 90-hour course equips learners with Generative AI foundations, production-grade AI engineering, serverless deployments, agentic workflows, and vision-enabled AI applications. The TA will play a key role in mentoring learners, resolving queries, sharing real-world practices, and guiding hands-on AI engineering projects. This role is perfect for professionals who want to contribute to next-generation AI-driven software engineering education while keeping their technical skills sharp. Key Responsibilities (KRAs) Doubt-Solving Sessions Conduct or moderate weekly sessions to clarify concepts across: Generative AI & Prompt Engineering AI Lifecycle Management & Observability Serverless & Edge AI Deployments Agentic Workflows and Vision-Language Models (VLMs) Share industry insights and practical examples to reinforce learning. Q&A and Discussion Forum Support Respond to student questions through forums, chat, or email with detailed explanations and actionable solutions. Facilitate peer-to-peer discussions on emerging tools, frameworks, and best practices in AI engineering. Research & Project Support Assist learners in capstone project design and integration, including vector databases, agent orchestration, and performance tuning. Collaborate with the academic team to research emerging AI frameworks like LangGraph, CrewAI, Hugging Face models, and WebGPU deployments. Learner Engagement Drive engagement via assignment feedback, interactive problem-solving, and personalized nudges to keep learners motivated. Encourage learners to adopt best practices for responsible and scalable AI engineering. Content Feedback Loop Collect learner feedback and recommend updates to curriculum modules for continuous course improvement. Candidate Requirements 2+ years of experience in Software Engineering, AI Engineering, or Full-Stack Development. Strong knowledge of Python/Node.js, cloud platforms (AWS Lambda, Vercel, Cloudflare Workers), and modern AI tools. Hands-on experience with LLMs, Vector Databases (Pinecone, Weaviate), Agentic Frameworks (LangGraph, ReAct), and AI observability tools. Understanding of AI deployment, prompt engineering, model fine-tuning, and RAG pipelines. Excellent communication and problem-solving skills; mentoring experience is a plus. Familiarity with online learning platforms or LMS tools is advantageous. Engagement Details Time Commitment: 6 to 8 hours per week Location: Remote (online) Compensation: ?8,000 to ?10,000 per month Why Join Us Benefits and Perks Contribute to a cutting-edge AI & software engineering program with a leading ed-tech platform. Mentor learners on next-generation AI applications and engineering best practices. Engage in flexible remote working while influencing future technological innovations. Access to continuous professional development and faculty enrichment programs. Network with industry experts and professionals in the AI and software engineering domain. Skills: edge,llms,rag pipelines,communication,online,aws lambda,databases,cloudflare workers,ai observability tools,vercel,prompt,learning,model fine-tuning,vector databases,prompt engineering,software,new age,agentic frameworks,mentoring,problem-solving,python,models,learners,node.js Show more Show less

Project Overview We are seeking a Senior Agentic AI Engineer to lead the design and development of an enterprise-grade Agentic AI framework. This framework will empower various business units across the organization to build intelligent, autonomous agents capable of handling complex workflows, using tools, interacting with APIs, and making decisions with minimal human intervention.This role requires deep expertise in architecting scalable, modular AI systems using LLMs, tool integration, memory systems, and agent orchestration. This role is ideal for someone who has hands-on experience with agentic AI frameworks like LangGraph, CrewAI and AutoGPT and a deep understanding of enterprise software engineering and system architecture. Experience : 3.5 - 6 years Position : AI Engineer Skills Required : Python, Agentic AI, AI Models, Agentic Framework, Agentic Workflows, Langgraph OR CrewAI, Open source, data science Exposure Role and Responsibilities Architect and build a reusable, secure, and scalable Agentic AI framework that can be adopted by multiple teams across the enterprise. Define standards, patterns, and abstractions for building intelligent agents using LLMs and other foundational models. Leverage and extend frameworks like LangGraph, CrewAI, or Semantic Kernel to enable advanced agentic capabilities such as (Long-horizon task planning, Tool calling (APIs, databases, RPA, internal services), Memory persistence and retrieval (via vector stores or knowledge graphs),Autonomous decision-making and reflection,Multi-agent orchestration and collaboration, Human-in-the-loop workflows,Monitoring and observability,Governance and compliance,Security and access control,Performance optimization and cost management Collaborate with cross-functional teams to ensure the framework aligns with enterprise-grade expectations. Integrate the framework with existing enterprise platforms. Conduct research and stay updated on the latest advancements in Agentic AI, LLMs, and related technologies. Mentor and guide junior engineers in best practices for building agentic systems. Coach and guide engineering teams in adopting and extending the framework. Show more Show less

Job Description Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. 6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. Familiarity with vector databases and embedding techniques. Experience deploying models using APIs, Docker, and cloud platforms Strong analytical, problem-solving, and communication skills. Experience in ML Ops, Model deployment, Model lifecycle and management

As a Product Manager at BigStep, you will be responsible for leading the development and execution of cutting-edge Generative AI, AI/ML, and data-driven products. With over 6 years of experience in this field, your role will require strong product leadership skills, technical fluency, and the ability to collaborate with cross-functional teams to drive innovation and deliver high-impact solutions across various industries. Your key responsibilities will include defining and driving the product vision, roadmap, and execution strategy for Gen AI/ML products. You will collaborate with engineering, data science, UX, and business teams to translate complex problems into impactful AI solutions. Additionally, you will lead the end-to-end product lifecycle from discovery and experimentation to launch, iteration, and scale. Your role will also involve guiding API development and system integrations to build scalable, intelligent product experiences and managing and prioritizing the product backlog in JIRA. To excel in this role, you should have 9-11 years of product management experience with a focus on AI/ML or Generative AI domains. You should have a proven track record of working with AI, Machine Learning, LLMs, and NLP teams in a product leadership capacity. A solid understanding of the AI/ML product development lifecycle, experimentation, data analytics, and model evaluation is essential. Experience with vector databases, retrieval-augmented generation (RAG), prompt engineering, or agentic workflows would be a strong plus. Proficiency in Agile methodologies, JIRA, and sprint planning processes is also required. You should have strong analytical skills and the ability to use data-driven insights to inform decision-making. Excellent written and verbal communication skills are crucial for aligning and influencing stakeholders across technical and non-technical teams. Operating in a fast-paced, research-oriented environment with evolving priorities should be comfortable for you. If you are passionate about driving innovation in AI/ML products, collaborating with diverse teams, and delivering high-impact solutions, this role at BigStep is the perfect opportunity for you.,

Job Summary: We are seeking a visionary and hands-on AI Architect with 8+ years of experience in designing and deploying AI-driven systems, including Generative AI (GenAI), LLM integration, computer vision, and agentic workflows. This role demands deep technical expertise in transformer models, PyTorch, and tools such as Stable Diffusion, ControlNet, and LangChain, as well as a strong grasp of dataset strategy, bias mitigation, and scalable AI system architecture. Experience with e-commerce or fashion datasets is a strong plus. Key Responsibilities: Architect and lead the development of AI/ML systems, with a focus on Generative AI, including diffusion models, GANs, and LLMs. Implement and optimize models such as Stable Diffusion, ControlNet, and OpenPose for real-world use cases in visual content generation. Design LLM-integrated solutions using LangChain, agentic workflows, and multimodal AI systems. Collaborate with cross-functional teams to define dataset strategy, ensuring data relevance, diversity, and quality. Integrate Hugging Face Transformers and PyTorch-based architectures into production environments. Define and implement best practices around bias & fairness, model explainability, and ethical AI design. Lead architectural decisions for scalable AI platforms, focusing on performance, reliability, and continuous learning capabilities. Leverage domain knowledge in e-commerce/fashion for visual understanding, recommendation, or personalization solutions. Qualifications: 8+ years of experience in AI/ML system architecture, including 3+ years specifically in Generative AI and LLM ecosystems. Proficiency in PyTorch, Transformers, Hugging Face, and LangChain. Deep understanding of diffusion models, GANs, ControlNet, and OpenPose. Experience in designing agentic AI workflows, real-time inference systems, and production-grade AI infrastructure. Proven track record in dataset creation/curation, bias analysis, and fairness optimization. Strong communication skills and the ability to translate complex AI concepts into business impact. Preferred Qualifications : Prior experience with e-commerce, fashion technology, or retail-based AI datasets. Contributions to open-source AI frameworks or publications in relevant research areas. Familiarity with cloud AI services (e.g., AWS Sagemaker, Azure AI, or GCP Vertex AI). Understanding of AI observability, versioning, and model governance. Location - Pan India, Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune.

Title- AI Engineer Experience - 4 to 6 Years Location - Noida Sec 126 Note-We are looking for a candidate who can Join within July and or having maximum 1 month of Notice period Skills Python Agentic Frameworks AI Models LangGraph Agentic workflows Vector Database AI/ML LLM RAG CrewAI Project Highlights We are seeking a Senior Agentic AI Engineer to lead the design and development of an enterprise-grade Agentic AI framework. This framework will empower various business units across the organization to build intelligent, autonomous agents capable of handling complex workflows, using tools, interacting with APIs, and making decisions with minimal human intervention.This role requires deep expertise in architecting scalable, modular AI systems using LLMs, tool integration, memory systems, and agent orchestration. This role is ideal for someone who has hands-on experience with agentic AI frameworks like LangGraph, CrewAI and AutoGPT and a deep understanding of enterprise software engineering and system architecture. Roles and Responsibilites Architect and build a reusable, secure, and scalable Agentic AI framework that can be adopted by multiple teams across the enterprise. Define standards, patterns, and abstractions for building intelligent agents using LLMs and other foundational models. Leverage and extend frameworks like LangGraph, CrewAI, or Semantic Kernel to enable advanced agentic capabilities such as (Long-horizon task planning, Tool calling (APIs, databases, RPA, internal services), Memory persistence and retrieval (via vector stores or knowledge graphs),Autonomous decision-making and reflection,Multi-agent orchestration and collaboration, Human-in-the-loop workflows,Monitoring and observability,Governance and compliance,Security and access control,Performance optimization and cost management Collaborate with cross-functional teams to ensure the framework aligns with enterprise-grade expectations. Integrate the framework with existing enterprise platforms. Conduct research and stay updated on the latest advancements in Agentic AI, LLMs, and related technologies. Mentor and guide junior engineers in best practices for building agentic systems. Coach and guide engineering teams in adopting and extending the framework. Requirements 4 -6 years of software engineering or AI/ML experience, with 2+ years in agentic or LLM-based system design. Hands-on experience with LangGraph, CrewAI, AutoGPT, BabyAGI, or similar frameworks. Proficiency in Python and common AI/LLM libraries (LangChain, OpenAI API, Hugging Face, etc.). Strong grasp of agent lifecycle, orchestration, and autonomy patterns (e.g., ReAct, Plan-and-Execute, hierarchical agents). Experience in integrating LLM agents with tools (APIs, search, file systems, databases) and managing secure, compliant interaction models. Solid understanding of vector stores , memory architectures, and context management strategies. Experience deploying agentic frameworks in large-scale enterprise environments (finance, telecom, healthcare, etc.) and Knowledge of LangGraph's stateful workflows will be a plus. Benefits Of Working With Us Opportunities to work in Latest Technologies. Challenging / Complex Development Projects. Working with Large clients. Strong Development & Delivery Processes. Focus on Learning and Development. Send your profile to: nikita.gautam@innovationm.com or you can connect over linkedin:- https://www.linkedin.com/in/gautamnikita/

high proficiency and experience in designing/developing data analytics and data warehouse solutions with Azure Data Bricks, Azure Data Factory, services related to Azure Analytics, Azure SQL, Azure function app, logic app experience in designing large data distribution, integration with service-oriented architecture and/or data warehouse solutions proficient coding experience using Spark (Scala/Python), T-SQL prior ETL development experience using industry tool e.g. informatica/SSIS/Talend etc. a proven track of work experience in cloud (MS Azure platform preferred) in an agile SDLC environment, leveraging modern programming languages, DevOps, and test-driven development. Azure Data Bricks/Data Factory/Data Lake/ Devops/ Spark/Scala/Python Production grade work experience with Python Good understanding of Core Deep Learning theory, Language models, Transformers Solid understanding of LLM fundamentals Prompting, RAG, Function calling, Agentic Workflows

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. .Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to . What the Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Develop Security Solutions: designing, developing, and implementing software solutions to enhance the security posture of the organization. Develop and evaluate large-scale machine learning models systems Research: Researching new techniques and tools to enhance the organization's cyber defense capabilities. Present findings to business and executive audiences Collaborate with engineers and product managers to implement ideas and plan future roadmaps Optimize retrieval-augmented generation (RAG) systems for enhanced performance and relevance. Fine-tune large language models (LLMs) to improve predictive accuracy and operational efficiency. Implement agentic workflows to streamline processes and enhance decision-making. Collaboration and Communication: Work closely with cross-functional teams such as IAM, network operations, incident response, and compliance to implement ideas, plan future roadmaps and ensure a cohesive approach to cybersecurity. ---- Basic Qualifications ---- Ph.D., MS or Bachelors degree in Statistics, Operations Research, Computer Science, Engineering, or other quantitative field 5+ years of industry experience in software engineering Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics Hands-on experience building and deployment ML models. Knowledge of experimental design and analysis Ability to use a language like Python or R to work efficiently at scale with large data sets ---- Preferred Qualifications ---- Knowledge in modern machine learning techniques applicable to Cybersecurity domain Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop Advanced understanding of statistics, causal inference, and machine learning Experience designing and analyzing large scale online experiments Experience working with large scale data sets using technologies like Hive, Presto, and Spark Experience with synthetic data generation. Proficiency in fine-tuning and optimizing large language models (LLMs). Experience in retrieval-augmented generation (RAG) systems. Familiarity with agentic workflows and their applications in machine learning and AI systems. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. .Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .

OUR CLIENT is ranked #1 on Glassdoor's 2023 Best Place to Work List. Here's why. At OUR CLIENT's mission is to be living proof you can win in business while being human-first. OUR CLIENT's industry-leading platform helps companies of all sizes and industries build durable businesses. OUR CLIENT offers a powerful set of customer success, product, community and education solutions that enable businesses to scale efficiently, create alignment, and have a holistic view of their customers all of which help increase product adoption, prevent churn, and grow renewals and expansions. Hundreds of companies use our software, including nearly 200 publicly traded organizations and industry leaders such as GE Digital, SAP Concur, and Zendesk. We have offices in the US, UK, Netherlands, Israel, Japan, and India. OUR CLIENT joined the Vista Equity Partners portfolio in 2020. In 2021, we won their Excellence in Engineering award for our product and engineering advancements. OUR CLIENT has also been named one of the top 100 private cloud companies by Forbes, one of the fastest-growing private companies in America by Inc. Magazine, and one of 20 Great Workplaces in Tech by Fortune Magazine. With diversity and inclusion at the forefront of our values, OUR CLIENT promotes a culture that celebrates diversity and inclusiveness regardless of but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age. Job Summary: OUR CLIENT is building something new: Managed AI Services, a category-defining initiative focused on delivering high-value, AI-augmented outcomes. Unlike traditional services, this function is designed and operated as a scalable capability that integrates human expertise and oversight with large language models (LLMs) and AI Agents to deliver repeatable, premium experiences across the post-sales customer journey. This function represents a new category of value creation at OUR CLIENT distinct from traditional servicesenabling us to offer outcomes with the scale, efficiency And repeatability of SaaS offering while retaining the customizability and white glove quality Office Service Offering quality that our customers expect. The group will serve as a central operational layer for AI-augmented work, partnering closely with product, engineering, customer success, education, and analytics teams. As an Applied AI Engineer (Models, Prompts, Reasoning), you will operate at the intersection of model capabilities, reasoning frameworks, agentic behavior, and AI feature delivery. You won’t just refine large language models—you’ll design and build end-to-end LLM-based agentic applications, from model selection and evaluation to multi-step reasoning and prompt chaining, all the way to integrating intelligent decision-making flows into production systems. This role requires a strong technical foundation in AI/ML, deep learning, and NLP, along with hands-on experience in prompt engineering, retrieval-augmented generation (RAG), and function calling to optimize AI performance. What you will do: Evaluate and integrate LLMs from OpenAI, Anthropic, Meta (Llama 2), and other vendors. Develop multi-step reasoning and prompt-chaining frameworks for complex AI applications. Optimize AI models by tuning temperature, top_p, and frequency penalties for high-quality outputs. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, or Weaviate. Design and orchestrate multi-model ecosystems that ensure factual accuracy and contextual adaptability. Utilize self-critique and reflection prompts to improve model responses and reduce hallucinations. Collaborate cross-functionally with Product, Engineering, and Research teams to deploy AI-driven solutions at scale. Continuously test and refine LLM behaviors using A/B testing, model evaluation frameworks, and feedback loops. Who you are: 5–8+ years of experience in AI, Machine Learning, and Natural Language Processing (NLP). 2–3+ years of hands-on experience working with LLMs and AI-powered applications. Strong knowledge of LLM architectures, including GPT-4, Claude, Llama 2, Mistral, and fine-tuning methodologies. Expertise in prompt engineering, function calling, and agentic workflows. Experience with retrieval-augmented generation (RAG) and integrating vector databases into AI pipelines. Proficiency in Python, LangChain, Hugging Face, OpenAI SDKs, and AI orchestration tools. Familiarity with multi-model orchestration, decision logic, and self-correcting AI behaviors. Strong understanding of LLM safety, bias mitigation, and ethical AI development. Experience with deploying AI systems in production, API integration, and cloud-based AI solutions. Bonus Skills (Nice to Have): Hands-on experience fine-tuning open-source LLMs. Knowledge of advanced reasoning frameworks (Chain-of-Thought, Tree of Thoughts). Experience working with LLM evaluation metrics (BLEU, perplexity, win-rate comparisons). Job Benefits At OUR CLIENT, the mission is to be living proof you can win in business while being human first. Your job should never be a barrier to your happiness—it should be an avenue to achieve it. At OUR CLIENT, we’re passionate about achieving our goals—at the office and everywhere—and we work every day to create an environment that nurtures our best selves. Here are OUR CLIENT’s 5 core values Golden Rule : We try to practice the Golden Rule by exercising reliability, trust and giving back to each other and our community. Success for All : We believe in success for our stakeholders—whether our teammates, clients or shareholders—comes with a sincere focus on continuous learning, selfless teaching and making a difference in each other’s lives. Child-like Joy : We aspire to experience child-like joy in our work and lives, injecting a spirit of passion, optimism and laughter into everything that we do. Shoshin : We believe in a beginner’s mind. Don’t surround yourself with people like you--diversity breeds creativity. Stay Thirsty, My Friends : We believe in a totally internally-driven strive for greatness. The solution is to think more, not do more. Why You’ll Love It Here Our Attitude: We’ve created a new category from scratch and we continue to be the thought leader in Customer Success. Our Leadership: We offer the leading tech solution for driving Customer Success. Our ROI: Reduce customer churn, increase up-sell, and improve customer satisfaction. Our Technology: Our technology allows companies to drive retention and growth by delivering the value customers demand. Our Impact: In addition to helping companies grow, we’ve committed to $100 million in wage expansion for underrepresented groups over the next few years. Our Clients: Big companies like Box, Adobe, Marketo, and many others. Our Team: Our team is composed of innovative Customer Success thought leaders and experts in their field from various industries.