As an experienced AI Architect with 4+ years of experience, your core responsibilities will involve designing and architecting AI pipelines that encompass ingestion, extraction, deduplication, quality checks, reasoning, and visualization using LLM-based technologies. You will be tasked with creating agentic workflows that efficiently coordinate various tools, functions, and data sources through orchestration frameworks. Additionally, your role will require building user-facing agents that can interpret queries, retrieve data, and deliver tailored outputs utilizing RAG technology. Collaborating with product, engineering, and domain experts, you will integrate AI applications into production environments and develop generative interfaces for tasks like report generation, insight synthesis, and stakeholder communications. Furthermore, you will be responsible for defining LLM customization strategies, including fine-tuning, prompt engineering, and retrieval optimization. Your expertise in Prompt Engineering will be crucial, as you will be crafting and refining prompts to guide task-specific LLM behavior. Practical experience with LLM APIs from providers like OpenAI, Anthropic, or similar platforms is essential. Familiarity with RAG, embeddings, and retrieval-augmented generation patterns will be required for creating user-friendly agents. Proficiency in software development using Python, Git, testing, and modern development practices is necessary. Working knowledge of NLP techniques such as entity recognition, text classification, and model adaptation will also be beneficial. Additionally, you should be able to define and track metrics for accuracy, latency, and hallucination in LLM agents and have experience in generative visualization using tools like Vega-Lite, Observable, or custom pipelines. Ideally, you should hold a Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field, or possess equivalent hands-on experience. You must have at least two years of experience developing production software, with a minimum of one year dedicated to building LLM-driven applications or AI agents. A portfolio, GitHub repository, or case study showcasing AI-enabled solutions in real or simulated environments would be advantageous. Bonus skills that would set you apart include an understanding of LLM fine-tuning, agent orchestration frameworks like CrewAI or LangChain, knowledge of open-source LLMs such as LLaMA, familiarity with AWS and Docker, and hands-on experience with transformer libraries like Hugging Face. This is a full-time position that requires working in person.,
Experience Required : 6 + years Core Technical Skills Frontend: Proficiency in Next.js, React.js, TypeScript,and CSS. Backend: Strong experience with Python, Django, and Django REST Framework (DRF). Database: Familiarity with PostgreSQL, or other relational databases. API Development: Experience designing and integrating RESTful APIs. Version Control: Proficient with Git and CI/CD pipelines. Additional Skills (Often Preferred) Experience with Docker, Kubernetes, or cloud platforms like AWS. Familiarity with unit testing, code reviews, and agile development practices. Understanding of authentication/authorization (OAuth, JWT). Knowledge of web security best practices. Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 2+ years of professional experience in full stack development. Strong problem-solving and debugging skills. Good communication and collaboration abilities. Typical Responsibilities Design and develop scalable web applications. Build and maintain REST APIs and frontend components. Collaborate with UI/UX designers, product managers, and other developers. Optimize performance and ensure responsive design. Participate in code reviews and contribute to architectural decisions. Job Type: Full-time Pay: ₹1,000,000.00 - ₹2,000,000.00 per year Ability to commute/relocate: Baner, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Can you start by first week of September 2025? Experience: Django: 4 years (Required) React: 3 years (Required) Next.js: 1 year (Preferred) Work Location: In person Expected Start Date: 02/09/2025