Role & responsibilities Engage with existing clients for updates, feedback, and follow-up Deliver product demos to new prospects (virtually or in-person) Coordinate with internal teams to support onboarding and delivery Assist in lead generation via email, LinkedIn, and outreach Maintain CRM/spreadsheet trackers for all client touchpoints Help create case studies, pitch decks, and simple marketing materials Preferred candidate profile 23 years in client success, marketing, inside sales, or presales Strong verbal and written English communication Confident in giving demos and interacting with clients Organized, proactive, and curious about technology Familiar with Google Docs, Slides, and CRM tools like HubSpot or Zoho
Role Overview As a Senior AI/ML Engineer , you will play a critical role in shaping our AI initiatives. You will lead the development of RAG pipelines, fine-tuned LLMs, and advanced analytics solutions to power our products. This is a hands-on role, ideal for someone who thrives in fast-paced environments and enjoys building robust, production-ready AI solutions. Key Responsibilities AI/ML Development Design, implement, and optimize Retrieval-Augmented Generation (RAG) systems. Fine-tune large language models (LLMs) for domain-specific applications. Research and apply best practices in embeddings, vector databases, and retrieval strategies. Build scalable pipelines for training, evaluation, and deployment. Data Analytics Analyze structured and unstructured datasets to derive actionable insights. Design dashboards and visualizations to support decision-making. Translate business and client needs into data-driven AI solutions. Deployment & Engineering Deploy and maintain ML/AI models in production environments . Integrate AI models with product stack (Supabase, n8n workflows, AWS S3, React/Tailwind). Optimize inference performance and ensure security and compliance. Collaboration & Leadership Collaborate with product and engineering teams to align AI capabilities with business goals. Mentor and guide junior engineers on AI/ML best practices. Stay updated with the latest advancements in LLMs, fine-tuning, and AI infrastructure. Qualifications & Experience Education Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related fields . Strong academic foundation in algorithms, mathematics, and statistics. Experience 5–8 years of hands-on experience in Machine Learning, Deep Learning, and Data Analytics. Proven track record in LLM fine-tuning, RAG pipelines, and production deployments . Experience with Python, PyTorch/TensorFlow, LangChain/LlamaIndex , and related frameworks. Knowledge of SQL & NoSQL databases , data preprocessing, and feature engineering. Familiarity with MLOps practices , cloud services (AWS/GCP/Azure), and API integrations. Exposure to Supabase, AWS S3, and workflow tools (like n8n) is a plus. What We Offer Opportunity to lead AI initiatives across multiple industry domains. Work on challenging, real-world AI/ML problems with direct client impact. A collaborative environment with room for technical and career growth. Pathway to grow into a Lead/Head of AI role as the company scales.
Frontend Engineer (2-4 yrs) – Build and manage web apps using React.js, Tailwind CSS, and modern frontend tools. Ensure responsive UI, performance, scalability, and collaborate with backend/product teams. Required Candidate profile B.Tech/M.Tech in CS/IT with 2-4 yrs exp. Strong skills in React.js, Tailwind CSS, JavaScript/TypeScript, responsive design, and frontend best practices.
Senior Database Engineer (5–7 yrs) – Manage and optimize PostgreSQL databases, write and tune PL/SQL queries, design schemas, handle backups/recovery, ensure performance, security, and support application teams. Required Candidate profile Qualifications & Experience: BTech in any related fields. 5–7 years of experience in database handling. Strong hands-on expertise in PostgreSQL. Experience in query optimization and indexing.