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.,
Job Title : Senior Data Architect Location : Bangalore/Chandigarh Job Type : Full-time Experience : 10+ years Job Summary are looking for an experienced Data Architect to lead the design, development, and optimization of our modern data infrastructure. The ideal candidate will have deep expertise in big data platforms, data lakes, lakehouse architectures, and hands-on experience with modern tools such as Spark clusters, PySpark, Apache Iceberg, the Nessie catalog, and Apache Airflow. This role will be pivotal in evolving our data platform, including database migrations, scalable data pipelines, and governance-ready architectures for both analytical and operational use cases. Key Responsibilities Design and implement scalable and reliable data architectures for real-time and batch processing systems Evaluate and recommend data tools, frameworks, and infrastructure aligned with company goals Develop and optimize complex ETL/ELT pipelines using PySpark and Apache Airflow Architect and manage data lakes using Spark on Apache Iceberg and Nessie catalog for versioned and governed data workflows Perform data analysis, data profiling, data quality improvements, and data modeling Lead database migration efforts, including planning, execution, and optimization Define and enforce data engineering best practices, data governance standards, and schema evolution strategies Collaborate cross-functionally with data scientists, analysts, platform engineers, and business Skills & Qualifications : 10+ years of experience in data architecture, data engineering, data security, data governance, and big data platforms Deep understanding of trade-offs between managed services and open-source data stack tools, including cost, scalability, operational overhead, flexibility, and vendor lock-in Strong hands-on experience with PySpark for writing data pipelines and distributed data processing Proven expertise with Apache Iceberg, Apache Hudi, and the Nessie catalog for modern table formats and versioned data catalogs Experience in scaling and managing Elasticsearch and PostgreSQL clusters Strong experience with Apache Airflow for workflow orchestration (or equivalent tools) Demonstrated success in database migration projects across multiple cloud providers Ability to perform deep data analysis and compare datasets between systems Experience handling 100s of terabytes of data or more Proficiency in SQL, data modeling, and performance tuning Excellent communication and presentation skills, with the ability to lead technical conversations Nice To Have Experience in Sales, Marketing, and CRM domains, especially with Accounts and Contacts data Knowledge in AI and vector databases. Exposure to streaming data frameworks (Kafka, Flink, etc.) Ability to support analytics and reporting initiatives Why Join Us Work on cutting-edge data architectures using modern open-source technologies Be part of a team transforming data operations and analytics at scale Opportunity to architect high-impact systems from the ground up Join a collaborative, innovation-driven culture (ref:hirist.tech)
Job Summary We are looking for an experienced Data Engineer to design, build, and maintain scalable data pipelines and processing systems that power our modern data platform. The ideal candidate will have hands-on expertise in distributed data processing, data lake/lakehouse systems, and workflow orchestration using modern tools such as Spark, PySpark, Apache Iceberg, Apache Hudi, and Apache Airflow. This role will be central in enabling reliable data ingestion, transformation, and governance-ready pipelines to support analytics, AI, and operational use cases across the organization. Key Responsibilities Build and maintain scalable ETL/ELT pipelines for batch and streaming data using PySpark and Airflow. Develop and optimize data ingestion workflows from multiple structured and unstructured data sources. Implement data lake and lakehouse solutions using Spark with Apache Iceberg, Hudi, or Delta Lake. Ensure data quality, reliability, and integrity through validation, profiling, and monitoring frameworks and automations using AI. Support database migration efforts and cross-system data reconciliation. Collaborate with data scientists, analysts, and platform engineers to enable analytics and ML use cases. Contribute to data governance practices, including schema evolution, versioned data catalogs (e.g., Nessie), and metadata management. Troubleshoot and optimize data jobs for performance and cost efficiency. Required Skills & Qualifications 6- 10 years of experience in data engineering with strong exposure to big data platforms. Hands-on experience with PySpark for distributed data processing. Solid understanding of modern table formats (Apache Iceberg, Hudi, Delta) and versioned data catalogs. Experience with Apache Airflow (or equivalent) for workflow orchestration. Strong SQL skills with experience in data modeling and performance tuning. Exposure to cloud data platforms (AWS, GCP, Azure) and managed services. Experience with handling large-scale datasets (TBs-100s of TBs). Understanding of DevOps practices for CI/CD of data pipelines. Nice To Have Experience in streaming data frameworks (Kafka, Flink, Spark Streaming). Knowledge of Sales, Marketing, or CRM domains (Accounts, Contacts data). Exposure to Elasticsearch, PostgreSQL, or Vector databases. Why Join Us Work on cutting-edge open-source data technologies at scale Grow your expertise in lakehouse, streaming, and AI-ready data architectures. Contribute to building a governance-ready, modern data platform from the ground up using AI Collaborate in a fast-paced, innovation-driven culture. (ref:hirist.tech)
Company Description Sprouts.ai is an intelligent martech platform designed for B2B companies, streamlining the process of buying and deploying multiple siloed GTM solutions. Sprouts.ai offers significant benefits such as a 200% increase in MQLs and SQLs, a 3X boost in BDR and SDR efficiency, and a 37% reduction in costs. The platform provides features like customer ICP discovery, database enrichment, intent discovery, predictive analytics, and advanced outreach capabilities, all designed to drive incremental sales and ensure compliance with industry standards. Job Profile Experience: 4–6 years Location: [Hybrid(Chandigarh/Bangalore) or Remote with occasional travel( for exceptional candidates) Type: Full-Time About the Role We’re looking for a skilled SDET with strong hands-on experience in Playwright , Cypress , or any JavaScript/TypeScript-based automation framework . You'll be responsible for building scalable test frameworks, integrating quality checks into CI/CD, and ensuring comprehensive test coverage across features. Key Skills ✅ Strong hands-on experience with Playwright, Cypress, or similar frameworks. ✅ Proficiency in TypeScript/JavaScript for automation development. ✅ Solid experience in framework design and test architecture . ✅ Good understanding of CI/CD workflows and tools (GitHub Action or similar). ✅ Familiarity with test reporting tools and alerting mechanisms. ✅ Strong debugging and analytical skills. ✅ Good knowledge of automation best practices and coding principles. Key Responsibilities Build, maintain, and scale automation frameworks (UI, API, and integration). Design and implement test strategies, scenarios, and test cases. Integrate automation into CI/CD pipelines (GitHub Actions or similar). Ensure reporting, alerting, and pipeline monitoring for automation runs. Analyze test results, debug failures, and provide quick feedback to developers. Drive best practices in coding, test design, and automation strategy. Mentor and guide junior team members on automation and coding standards.
The opportunity: As a Full-Stack Tech Lead, you will play a crucial role in driving the development of our new platform while providing mentorship to a small yet capable team. Your responsibilities will include owning technical delivery across the stack (Next.js, Nest.js, Spring Boot, LangGraph on AWS), influencing architecture decisions, and collaborating closely with leadership to bring our product vision to fruition. If you are passionate about creating AI-native experiences, enjoy working across the stack, and excel in a dynamic startup environment, this is an exceptional opportunity for you to shape a category-defining product. What you'll do: Your primary focus will be on designing, building, and reviewing software across frontend, backend, and AI layers, accounting for 70% of your time. Additionally, you will guide the engineering team (30% of your time) and lead by example. You will be responsible for translating product and business requirements into system designs and execution plans, ensuring the delivery of features and infrastructure capable of scaling to enterprise-grade workloads. Your role will also involve unblocking the team, promoting engineering best practices, and fostering a culture of quality. Furthermore, you will contribute to architectural decisions and integrate new technologies as necessary (e.g., queuing, observability, etc.), while serving as a mentor, collaborator, and the primary resource for complex technical decisions. You will advocate for and implement AI-first principles across every layer of the product. You might be a fit if you have: - 6-8 years of experience in building and scaling full-stack applications - A proven track record in early-stage B2B SaaS or platform engineering teams - Proficiency in modern web stacks, ideally Next.js, Nest.js, and Spring Boot - Comfort working with AWS and hybrid, on-premise infrastructures - Experience or a keen interest in developing AI-powered user experiences (LangChain, LangGraph, LLMs, etc.) - Strong ownership mindset, product-oriented thinking, and meticulous attention to detail - A startup mindset characterized by resourcefulness, agility, and a focus on outcomes Why join us: Join us in building a groundbreaking product at the intersection of AI, automation, and data. You will have the opportunity to work closely with the founders and leadership team without bureaucratic layers, allowing for end-to-end ownership of your work. You will contribute to shaping the culture and technological foundations of an ambitious new company. The role is based onsite in Hyderabad, with flexibility when required. If this sounds like you, we would love to have a conversation. Apply now or reach out directly to explore this exciting opportunity.,