27 Oct
|
Dapton Technologies
|
Pune
27 Oct
Dapton Technologies
Pune
Experience:
2+ Years
Location:
Pune (Kharadi) Work Mode: Work From Office (5 Days) Employment Type: Full-Time Notice Period: Immediate Joiners Preferred Role Overview Dapton Technologies is looking for a hands-on AI Engineer to build AI-powered systems that improve software development, QA automation, project management, and business operations. You will design and implement AI harnesses, coding-agent workflows, intelligent automation, and internal AI applications that help our teams work faster, reduce repetitive tasks, and deliver higher-quality software. This role is focused on applying AI to real-world engineering and business problems, taking solutions from concept to production, and continuously improving how we build software and operate as a company.
Key Responsibilities
• AI Harness & Coding Agents: Set up and optimize AI development environments using Claude Code, OpenAI Codex, Cursor, GitHub Copilot, and other AI coding tools. Build reusable agent configurations, skills, hooks, tools, and workflows.
• AI-Powered Development: Build agents to analyze codebases, implement features, debug issues, review code, generate documentation, and automate repetitive development tasks.
• QA & Testing Automation: Use AI to generate test cases, automate regression testing, analyze test failures, identify bugs, and improve test coverage using tools such as Playwright.
• AI for Project Management: Integrate AI with Jira, Asana, GitHub, and other tools to automate task creation, sprint reporting, progress tracking, release notes, and delivery-risk identification.
• Business Operations Automation:
Identify manual workflows across the company and build AI-powered systems to automate reporting, document processing, data analysis, and operational tasks.
• AI Agents & Integrations: Develop agents that interact with APIs, databases, internal applications, and third-party services using tool calling, MCP, and workflow orchestration.
• AI Infrastructure & Reliability: Implement evaluation, monitoring, access controls, error handling, and security measures to ensure AI systems are reliable, cost-effective, and production-ready.
• Continuous Improvement: Explore emerging AI technologies, identify automation opportunities, and measure improvements in productivity, software quality, and operational efficiency. Required Skills
• Robust programming skills in Python and JavaScript/TypeScript.
• Experience with FastAPI, Node.js, REST APIs, asynchronous programming, and backend development.
• Hands-on experience with LLMs such as OpenAI GPT, Anthropic Claude, Google Gemini, or open-source models.
• Experience building AI agents and workflows using tools such as Claude Code, OpenAI Agents SDK, LangGraph, or equivalent frameworks.
• Understanding of AI harness engineering, tool calling, context management, structured outputs, and agent execution workflows.
• Experience integrating AI with APIs, databases, Git repositories, and third-party applications.
• Knowledge of automated testing frameworks such as Playwright, Selenium, or Pytest.
• Familiarity with MCP, workflow automation tools such as n8n, and integrations with Jira, Asana, or GitHub.
• Understanding of Git, Docker, CI/CD, cloud deployment, and production debugging.
• Ability to build reliable applications with proper validation, error handling, security, and monitoring. Prefered Qualification
• Experience implementing AI coding agents or AI-assisted software development workflows.
• Experience automating QA, code reviews, project management, or business operations using AI.
• Familiarity with RAG, vector databases, AI evaluation, observability, and agent orchestration.
• Experience deploying AI-powered applications in production.
• A portfolio of working AI projects, automation tools, or relevant GitHub repositories. What We're Looking For
• A strong software engineer who can turn AI capabilities into practical, production-ready systems.
• Someone who proactively identifies repetitive work and finds opportunities to automate it.
• Ability to independently design, build, deploy, and maintain AI-powered solutions.
• Strong problem-solving skills and a focus on measurable business outcomes.
• Willingness to experiment with emerging AI tools and continuously improve engineering workflows. Our goal is to make AI an integral part of how we develop software, manage projects, perform QA, and run business operations.
📌 Generative AI Engineer (Pune)
🏢 Dapton Technologies
📍 Pune