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Total Experience: 2+ years
Mode of Hire: Permanent
Required Skills Set (Mandatory): HTML, JavaScript, Node.js, Express.js, MongoDB, React/Next.js, AI Integration (LLMs/APIs - OpenAI, Anthropic, Gemini)
Desired Skills (Good if you have): Cloud Platforms (AWS), System Design, Application Security
What is the role all about
We're hiring full-stack engineers who build with AI, not the traditional way. You should be fluent in modern web engineering, primarily Node.js, and just as fluent in using LLMs and AI tools (Cursor, Claude Code, and similar) to ship fast. Work that once took a month should take a week; what took a week should take a day.
The role spans a range, from architecting backends for non-trivial products like assistants and agents, to rapidly turning a requirement into a clean, customer-facing app or MVP. Be strong in at least one area, be comfortable across the system as a whole, and tell us where you're strongest so we can place you accordingly.
What will you do
What are we looking for
AI leverage:
Engineering depth and delivery:
Culture
About Tracxn
Tracxn (Tracxn.com) is a Bangalore-based product company that provides a research and deal-sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals in the startup ecosystem.
We are a team of 800+ working professionals serving customers across the globe. Our clients include Funds such as Andreessen Horowitz, Matrix Partners, and GGV Capital, as well as Large Corporates such as Citi, Embraer & Ferrero.
Founders
Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)
About Technology Team
Tracxn's Technology team is 50+ members strong and growing. The technology team is subdivided into multiple smaller teams, each of which owns one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure, in which almost everyone is actively involved in technical development and design. We have a team-centric culture where ownership and responsibility for a feature or module lie with a team rather than an individual.
We work on an array of technologies, including but not limited to ReactJS, Next.js, Storybook, Webpack, Node, Mongo, AWS Lambda, Spring, Elastic Stack, MySQL, Kafka, Redis, Ansible, etc.
We value ownership, continuous learning, consistency, and discipline as a team.
Job ID: 151051027
Skills:
Kotlin, Cursor, React, Typescript, Python, LangChain, embeddings, LLMs, Claude, industrial data, prompt engineering, AI ML Engineering, supply chain data, Knowledge Graph, Code Copilot
Skills:
snowflake , BigQuery, Plugins, Databricks, Python, columnar analytics, Go, agent skills, embedding models, hybrid retrieval, vector databases, tool-calling protocols, Anthropic, Google format, prompt engineering, agent planning loops, Teradata Autonomous Knowledge Platform, agentic AI systems, function calling APIs, SQL query optimization, OpenAI
Skills:
Databricks, cloud, Gcp, Microservices, AWS, Python, Azure, Hypothesis Testing, Apis, LangChain, evaluation frameworks, LLMs, LlamaIndex, feature engineering, Agents, Gen AI, embeddings, Weaviate, RAG, Pinecone, Statistical Modeling, Async streaming architectures, vector databases, AutoGen, FAISS, prompt engineering, model observability
Skills:
Java, Machine Learning, Python, Debugging Skills, API Integration Testing, Ai, Evaluation Frameworks, Test Automation Frameworks
Skills:
PostGreSQL, Javascript, Docker, MySQL, Python, RDS, Dynamodb, Cosmos, Sql, MongoDB, Kubernetes, Hugging Face, MLflow, Google BigQuery, Aurora, Vertex AI, Langflow, DeepSpeed, vLLM, SageMaker, Langgraph, Azure AI, Spanner, Flowise
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