
51 - 200 employees
Founded 2010
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
Artificial Intelligence • Enterprise • B2B
Talpro India Private Limited is a Bengaluru-based software development firm specializing in custom web, mobile, cloud, and AI/ML solutions for startups and enterprises. The company offers end-to-end services including MVP and product development, enterprise application development, legacy system modernization, QA & testing, DevOps, and ongoing support, with a focus on agile delivery, scalable architectures, and industry-specific solutions for healthcare, finance, e-commerce, and education. With 15+ years of experience, 500+ projects, and a team of expert developers, Talpro emphasizes on-time delivery, innovation, and long-term partnerships.
🕒 February 3
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51 - 200 employees
Founded 2010
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
Artificial Intelligence • Enterprise • B2B
Talpro India Private Limited is a Bengaluru-based software development firm specializing in custom web, mobile, cloud, and AI/ML solutions for startups and enterprises. The company offers end-to-end services including MVP and product development, enterprise application development, legacy system modernization, QA & testing, DevOps, and ongoing support, with a focus on agile delivery, scalable architectures, and industry-specific solutions for healthcare, finance, e-commerce, and education. With 15+ years of experience, 500+ projects, and a team of expert developers, Talpro emphasizes on-time delivery, innovation, and long-term partnerships.
• Design and implement workflows involving tool calling, multi-step reasoning, and structured outputs. • Build robust integrations and connectors with common internal systems such as Slack, Jira, email, calendar, CRM, and data warehouses. • Implement RAG (Retrieval-Augmented Generation) and knowledge systems for product and internal docs, ensuring citations and links to sources are included. • Build basic access control patterns, including SSO/AD group-aware retrieval and role-based response filtering. • Ship MVPs fast, iterate based on user feedback, and add necessary guardrails such as evals, logging, and retry/timeout behaviors. • Document workflows and provide simple runbooks to facilitate internal adoption.
• Strong software engineering fundamentals with a focus on clean, testable code and a production mindset. • Proven experience building with LLMs and agents, specifically regarding prompting, structured output (JSON schemas), and tool/function calling. • Experience with multi-step orchestration (agent loops, state machines, graphs). • Hands-on experience with at least one major framework such as Claude Agent SDK / MCP, LangGraph, or OpenAI Assistants. • Strong experience with APIs and integrations (OAuth/SSO patterns are a plus). • Familiarity with workflow engines like Temporal, Dagster, Airflow, or Prefect. • Experience with retrieval systems such as LlamaIndex, LangChain RAG, Elasticsearch, pgvector, or Pinecone.
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