About the Role We are looking for a Delivery Lead who will be responsible for understanding customer requirements, designing solutions using AutomatR, and ensuring successful implementation and delivery of projects . You will act as a bridge between customers and the implementation team , ensuring our AI-driven workflow automation platform is effectively deployed to solve real-world challenges. As a Product Expert , you will play a key role in solutioning, project delivery, customer engagement, and training , ensuring customers maximize the value of AutomatR . This role requires a mix of business acumen, technical understanding, project management, and excellent communication skills . Key Responsibilities 1. Customer Requirement Analysis & Solutioning Engage with customers to understand their automation needs and business pain points . Analyze existing business processes and design solutions leveraging AutomatR to improve efficiency. Create simple yet effective requirement documents, process flows, and solution blueprints . Work closely with technical teams to ensure the solution aligns with AutomatR’s capabilities and best practices. 2. Implementation & Project Management Own the end-to-end delivery of automation solutions, ensuring they are implemented as per customer expectations. Track project timelines, manage risks, and ensure timely delivery of automation projects. Serve as the primary point of contact for the customer, ensuring clear communication and stakeholder alignment . Continuously monitor progress, implementation quality, and customer feedback to drive successful adoption. 3. Product Demonstration & Customer Training Conduct product demos showcasing how AutomatR solves customer pain points . Train customers on AutomatR’s features, best practices, and customization options . Create training materials, user guides, and knowledge-sharing sessions to drive product adoption. Provide post-implementation support , helping customers fine-tune their automation processes. 4. Stakeholder Communication & Solution Advocacy Act as a trusted advisor to customers, guiding them in their automation journey . Collaborate with internal teams (engineering, product, support) to ensure customer needs are met. Identify opportunities for process improvements and feature enhancements based on customer feedback. Advocate for AutomatR’s value proposition , ensuring it is positioned effectively to solve industry-specific challenges. Required Skills & Qualifications Business & Solutioning Skills Strong solution design skills , with the ability to map customer requirements to AutomatR capabilities . Experience in business process automation, digital transformation, or AI-driven workflow solutions . Ability to simplify complex automation concepts into clear, actionable solutions. Experience in creating requirement documents, process flows, and functional specifications . Project Management & Execution Proven experience in managing automation projects end-to-end , from scoping to delivery. Ability to track progress, identify risks, and ensure timely completion of customer implementations . Strong stakeholder management and communication skills to engage with both technical and non-technical teams . Product Expertise & Customer Engagement Hands-on experience with AI-driven automation tools or workflow automation platforms . Ability to conduct engaging product demos, customer training sessions, and workshops . Strong presentation and communication skills , capable of explaining automation solutions to business users. Preferred Experience 3-6 years of experience in solution consulting, automation implementation, or customer-facing technical roles . Background in AI-powered automation, enterprise software delivery, or process automation is a plus. Experience with AI-based workflows, intelligent automation, or no-code automation platforms is beneficial.
About the Role: We are seeking a Lead Generation Specialist to identify and qualify potential customers for our SaaS product. This role requires working in the US shift and prior experience in a SaaS product environment. Key Responsibilities: Identify and engage qualified leads through outbound calls, emails, LinkedIn, and other platforms. Research target industries, companies, and decision-makers. Set up meetings or demos for the sales team with qualified prospects. Maintain accurate records of leads and progress in CRM tools. Collaborate with marketing and sales teams to refine lead targeting and strategy. Meet or exceed weekly/monthly lead generation and booking targets. Work closely with US-based prospects; must be available for US shift hours. Requirements: 2–4 years' experience in Lead Generation, SDR, or sales roles, targeting SaaS/B2B software clients. Experience in SaaS product companies is mandatory. Strong communication skills in English. Proficiency using CRM and sales tools (e.g., LinkedIn Sales Navigator, Apollo, HubSpot). Comfortable with cold calling, outbound email, and LinkedIn outreach. Self-driven, organized, and result-oriented. Willingness to work night shifts (aligned with US time zones). Preferred: Previous US market experience is a plus. Ability to handle and nurture long sales cycles for SaaS products
As an AI-powered workflow automation tool, AutomatR is dedicated to providing businesses of all sizes with seamless automation solutions. We are built on cutting-edge technology, allowing both technical and non-technical users to streamline processes and enhance efficiency effortlessly. In line with our growth, we are currently seeking a dynamic Marketing, Communications & Brand Lead who will play a pivotal role in shaping our brand narrative and marketing strategies to establish AutomatR as a standout player in the automation landscape. Your responsibilities will include defining and implementing a compelling brand strategy that resonates with our diverse user base, crafting clear and impactful messaging to communicate AutomatR's unique value proposition to a global audience, and maintaining a consistent tone and voice for the AutomatR brand across all platforms. Additionally, you will be responsible for creating captivating visuals and multimedia content that narrate AutomatR's journey and offerings, collaborating with design and product teams to develop high-quality marketing assets, and managing AutomatR's social media presence to engage the automation and AI community effectively. Furthermore, you will be tasked with planning and executing result-driven marketing campaigns across various channels, organizing product launches and industry events to establish AutomatR as a leader in workflow automation, and leveraging performance metrics to optimize strategies and drive measurable growth in brand awareness, lead generation, and customer engagement. Your role will also involve collaborating with cross-functional teams to align marketing efforts with business goals, cultivating relationships with media, influencers, and strategic partners, and identifying opportunities to showcase AutomatR's success stories through case studies and testimonials. To qualify for this role, you should possess a Bachelor's degree in Marketing, Communications, or a related field, along with 1 to 2+ years of experience in marketing, branding, and communications, preferably in a tech product-based startup. You should have demonstrated expertise in visual storytelling, a proven track record in brand building, digital marketing, and content creation for SaaS or tech-driven products, excellent verbal and written communication skills, and proficiency in digital marketing tools, analytics platforms, and content management systems. An entrepreneurial mindset, a passion for innovation, and a deep understanding of tech trends are also essential qualities we are looking for in potential candidates. Joining AutomatR will offer you the opportunity to be at the forefront of the AI-driven automation revolution, shape the identity and voice of a rapidly growing, cutting-edge product, collaborate with a team of innovators dedicated to transforming the future of automation, and enjoy competitive compensation, a dynamic work environment, and unparalleled growth opportunities.,
Role: Data Scientist Exp: 3 to 5+ Years Location : Hyderabad About the Role We are looking for a sharp, hands-on AI Engineer experience in Large Language Models (LLMs) and Agentic AI to work alongside a Senior AI Scientist. You will contribute to the design, fine-tuning, and deployment of AI models, enabling goal-driven, autonomous AI agents to perform complex reasoning and decision-making tasks. Your role will involve building and optimizing LLMs, integrating them with retrieval-augmented generation (RAG), and enhancing their efficiency for real-time automation. Key Responsibilities: 1. Agentic AI Development & Workflow Optimization Develop autonomous AI agents capable of dynamic decision-making and task execution. Work with LangGraph, LangChain, LlamaIndex, and other frameworks to create multi-agent workflows. Optimize goal-driven AI behavior for handling complex automation and reasoning tasks. Enhance agent collaboration mechanisms, improving their ability to break down goals, delegate tasks, and refine execution strategies. 2. Language Model Fine-Tuning & Optimization Work with Tiny LLMs / Small LLMs (e.g., Phi-3, OpenELM, Mistral, Llama 3) to build efficient, scalable AI models. Fine-tune models using full fine-tuning, LoRA, QLoRA, and PEFT techniques to improve task-specific performance. Optimize GPU memory and compute resources to efficiently run fine-tuned models for real-world applications. Research and implement efficient inference strategies for deploying LLMs in production. 3. Retrieval-Augmented Generation (RAG) & Knowledge Integration Design and implement RAG architectures to improve contextual awareness and decision-making capabilities of AI agents. Work with vector databases (e.g., ChromaDB, FAISS, Weaviate) for efficient knowledge retrieval and document understanding. Develop techniques for continuous learning, enabling agents to refine knowledge over time. 4. NLP & Intelligent Document Processing Work on OCR-based automation, enhancing document understanding using Tesseract, PaddleOCR, and AI-powered text extraction. Develop custom tokenization, embeddings, and NLP pipelines for document classification, summarization, and intent recognition. Implement domain-specific adaptations of LLMs to improve accuracy and performance in structured and unstructured text processing. 5. AI Infrastructure & Compute Optimization Configure fine-tuning infrastructure, manage GPU/TPU memory, and optimize compute for LLM fine-tuning. Experiment with different fine-tuning strategies to optimize models for low-latency, high-performance applications. Required Skills & Qualifications Core AI & NLP Expertise Strong background in NLP, LLMs, and deep learning with experience in fine-tuning and optimizing models. Proficiency in Python and experience with Hugging Face Transformers, LangChain, LlamaIndex, and ML frameworks (PyTorch, TensorFlow, scikit-learn). Experience with Tiny LLMs / Edge AI and optimizing Phi-3, OpenELM, and Mistral for efficiency. RAG & Data EngineeringSolid understanding of Retrieval-Augmented Generation (RAG) and its application in agentic AI workflows. Experience working with SQL & NoSQL databases (PostgreSQL, MongoDB, ChromaDB, FAISS, etc.). Familiarity with big data processing frameworks like Spark, Dask, or Ray for handling large-scale workloads. AI Compute & Infrastructure (Plus, Not Mandatory) Experience deploying AI models using Docker, Kubernetes, or serverless architectures. Knowledge of MLOps best practices for model retraining, monitoring, and optimization. Why Join Us? Work on cutting-edge AI-powered agentic automation at the intersection of LLMs, RAG, and multi-agent systems. Be part of a team building goal-driven, autonomous AI agents that redefine how businesses leverage AI. Collaborate with a highly skilled Senior AI Scientist and grow your expertise in LLM fine-tuning, optimization, and AI-driven automation. Competitive compensation and access to state-of-the-art AI models and compute resources.
Role: AI Engineer Exp: 3 to 5+ Years Location : Hyderabad About the Role We are looking for a sharp, hands-on AI Engineer experience in Large Language Models (LLMs) and Agentic AI to work alongside a Senior AI Scientist. You will contribute to the design, fine-tuning, and deployment of AI models, enabling goal-driven, autonomous AI agents to perform complex reasoning and decision-making tasks. Your role will involve building and optimizing LLMs, integrating them with retrieval-augmented generation (RAG), and enhancing their efficiency for real-time automation. Key Responsibilities: 1. Agentic AI Development & Workflow Optimization Develop autonomous AI agents capable of dynamic decision-making and task execution. Work with LangGraph, LangChain, LlamaIndex, and other frameworks to create multi-agent workflows. Optimize goal-driven AI behavior for handling complex automation and reasoning tasks. Enhance agent collaboration mechanisms, improving their ability to break down goals, delegate tasks, and refine execution strategies. 2. Language Model Fine-Tuning & Optimization Work with Tiny LLMs / Small LLMs (e.g., Phi-3, OpenELM, Mistral, Llama 3) to build efficient, scalable AI models. Fine-tune models using full fine-tuning, LoRA, QLoRA, and PEFT techniques to improve task-specific performance. Optimize GPU memory and compute resources to efficiently run fine-tuned models for real-world applications. Research and implement efficient inference strategies for deploying LLMs in production. 3. Retrieval-Augmented Generation (RAG) & Knowledge Integration Design and implement RAG architectures to improve contextual awareness and decision-making capabilities of AI agents. Work with vector databases (e.g., ChromaDB, FAISS, Weaviate) for efficient knowledge retrieval and document understanding. Develop techniques for continuous learning, enabling agents to refine knowledge over time. 4. NLP & Intelligent Document Processing Work on OCR-based automation, enhancing document understanding using Tesseract, PaddleOCR, and AI-powered text extraction. Develop custom tokenization, embeddings, and NLP pipelines for document classification, summarization, and intent recognition. Implement domain-specific adaptations of LLMs to improve accuracy and performance in structured and unstructured text processing. 5. AI Infrastructure & Compute Optimization Configure fine-tuning infrastructure, manage GPU/TPU memory, and optimize compute for LLM fine-tuning. Experiment with different fine-tuning strategies to optimize models for low-latency, high-performance applications. Required Skills & Qualifications Core AI & NLP Expertise Strong background in NLP, LLMs, and deep learning with experience in fine-tuning and optimizing models. Proficiency in Python and experience with Hugging Face Transformers, LangChain, LlamaIndex, and ML frameworks (PyTorch, TensorFlow, scikit-learn). Experience with Tiny LLMs / Edge AI and optimizing Phi-3, OpenELM, and Mistral for efficiency. RAG & Data EngineeringSolid understanding of Retrieval-Augmented Generation (RAG) and its application in agentic AI workflows. Experience working with SQL & NoSQL databases (PostgreSQL, MongoDB, ChromaDB, FAISS, etc.). Familiarity with big data processing frameworks like Spark, Dask, or Ray for handling large-scale workloads. AI Compute & Infrastructure (Plus, Not Mandatory) Experience deploying AI models using Docker, Kubernetes, or serverless architectures. Knowledge of MLOps best practices for model retraining, monitoring, and optimization. Why Join Us? Work on cutting-edge AI-powered agentic automation at the intersection of LLMs, RAG, and multi-agent systems. Be part of a team building goal-driven, autonomous AI agents that redefine how businesses leverage AI. Collaborate with a highly skilled Senior AI Scientist and grow your expertise in LLM fine-tuning, optimization, and AI-driven automation. Competitive compensation and access to state-of-the-art AI models and compute resources.