Sprouts.ai

Job Description As an AI Intern (AI Agent Developer Intern), you'll work at the cutting edge of AI automation and agent orchestration. This isn’t a research role—you’ll be building production-grade AI agents that solve real-world problems across domains like operations, education, sales, and personal productivity. You’ll work closely with our leadership team to prototype, iterate, and ship fast, owning your work from start to finish. Key Responsibilities Design and develop AI Agents using LangChain, CrewAI, LangGraph, AutoGen (A2A), ADK and similar other platforms Build and orchestrate agent workflows using tools like n8n, Airflow, or LangGraph DAGs Integrate APIs, databases, vector stores (e.g., Pinecone, Chroma, Weaviate), and tools like OpenAI, Claude, Mistral, HuggingFace, etc. Write clean, modular, and testable code in Python (TypeScript is a plus) Rapidly prototype agentic workflows, test edge-cases, and iterate based on feedback Collaborate with design and product teams to shape user-centric workflows Ship minimal, usable versions and continuously improve them based on usage analytics Maintain documentation and contribute to internal knowledge bases Requirements Strong hands-on coding skills, especially in Python Previous experience building with LangChain, LangGraph, CrewAI, or similar frameworks Familiar with agent orchestration, tool chaining, multi-agent systems Quick learner, adaptable to new frameworks and libraries Strong problem-solving skills and autonomy—able to take vague ideas to shipped features Comfortable working in a fast-paced, iterative startup environment Basic understanding of prompt engineering, LLM APIs, and memory management Exposure to n8n, Supabase, Firebase, PostgreSQL, Redis, or similar stacks Familiarity with version control (Git), basic CI/CD, and cloud platforms (Vercel, AWS, etc.) Show more Show less

Job Title : AI Engineer. Experience : 3+ Years. Location : Chandigarh / Bangalore. Job Type : Full-Time (Hybrid Mode). About The Role We're looking for a skilled Python Developer with hands-on experience in building AI/ML solutions to automate data quality issues, particularly using GenAI libraries. You'll work closely with our AI team to develop, optimize, and deploy intelligent applications. Key Responsibilities MOST CRITICAL : Write clean, efficient, and scalable Python code. Efficiently handle large data and perform data analysis to understand patterns. Data quality automation for Data normalization, Data validations and Data standardization at scale. Build and integrate GenAI-based features (LLMs, RAG, embeddings, etc.) Develop scalable APIs, pipelines, and backend services for AI applications. Work with libraries like LangChain, LlamaIndex, Langgraph, HuggingFace Transformers, OpenAI, etc. Optimize performance of AI inference and data workflows. Improve Data quality using AI technologies. Collaborate with data scientists and frontend teams. Required Skills Strong Python programming skills (3+ years). Hands-on experience with GenAI / LLM frameworks ( LangChain, LlamaIndex, Langgraph, Transformers, OpenAI, etc.) Solid understanding of APIs and web integration with proven scalable deployments. Good Data manipulation background including Data quality, normalization, validation, standardization knowledge. Good automation mindset. Familiarity with prompt engineering and vector databases (e.g Milvus, Elasticsearch). Version control (Git) and good debugging habits. Preference Domain knowledge in Revenue intelligence Accounts and Contacts data. Exposure to cloud platforms (Azure/AWS). Prior work on chatbots, RAG systems, or multi-agent frameworks. Availability to join the organization between 1-4 weeks. (ref:hirist.tech)

As an AI Engineer with 3+ years of experience, you will be responsible for developing AI/ML solutions to automate data quality issues, specifically using GenAI libraries. Working in Chandigarh or Bangalore in a Full-Time (Hybrid Mode) position, you will collaborate closely with the AI team to create, optimize, and deploy intelligent applications. Your main responsibilities will include writing clean, efficient, and scalable Python code, handling large data sets for analysis, and automating data quality processes such as normalization, validation, and standardization at scale. You will also build and integrate GenAI-based features, develop APIs, pipelines, and backend services for AI applications, and optimize the performance of AI inference and data workflows. Collaboration with data scientists and frontend teams will be essential to improve data quality using AI technologies. The required skills for this role include strong Python programming skills (minimum 3 years), hands-on experience with GenAI/LLM frameworks, solid knowledge of APIs and web integration for scalable deployments, expertise in data manipulation for quality assurance, and familiarity with prompt engineering and vector databases. Proficiency in version control (Git) and debugging practices is also necessary. Preference will be given to candidates with domain knowledge in Revenue intelligence Accounts and Contacts data, experience with cloud platforms (Azure/AWS), and previous work on chatbots, RAG systems, or multi-agent frameworks. The ideal candidate should be able to join the organization within 1-4 weeks. If you are passionate about leveraging AI technologies to drive data quality automation and are eager to contribute to the development of intelligent applications, this role offers an exciting opportunity to make a meaningful impact.,