CareerPlanGet AI match score →
Onsite or remote • Bangalore Urban+1💼 Full-time🗓 2026-06-25

Core

Design and build intelligent AI systems capable of reasoning, decision-making, and autonomous task execution for startups and product teams.

Role type

AI Agentic Engineer (Dev/QA)

Builds

AI-powered platforms and autonomous workflows combining LLMs, automation, and real-world integrations

Domain

Artificial Intelligence / Software Engineering

Deliverable

production ML models | product features

Required skills

LLMs and AI frameworks (OpenAI, LangChain, LangGraph, CrewAI, AutoGen), Python, JavaScript, API integration, backend systems, automation workflows, prompt engineering, AI orchestration, workflow automation, databases, REST APIs, cloud-based systems

Preferred skills

vector databases, RAG architectures, AI evaluation/testing frameworks, Docker, CI/CD, cloud platforms, multi-agent systems, QA automation

Technologies

OpenAI, LangChain, LangGraph, CrewAI, AutoGen, Python, JavaScript, Docker, CI/CD

Responsibilities

Design and develop agentic AI workflows and autonomous systems, Integrate LLMs with APIs, databases, tools, and external systems, Build AI agents capable of task execution, reasoning, and workflow automation, Develop and test AI-driven applications for reliability, scalability, and accuracy, Work with orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar tools, Debug, monitor, and optimize AI workflows and backend integrations

Seniority

Mid-level, hands-on IC

Rewrite
## About BestQ BestQ is a fast-growing technology and QA solutions company helping startups and product teams build reliable, scalable, and intelligent software systems. Alongside modern QA services, we are actively building AI-powered platforms and autonomous workflows that combine LLMs, automation, and real-world integrations. ## Role Overview We are looking for an innovative and hands-on Agentic AI Engineer (Dev/QA) to help design and build intelligent AI systems capable of reasoning, decision-making, and autonomous task execution. This role involves working with Large Language Models (LLMs), orchestration frameworks, APIs, automation systems, and backend services to create practical AI-driven workflows and agents. The ideal candidate should have strong problem-solving skills, development experience, and an interest in building scalable AI products from the ground up. ## Key Responsibilities - Design and develop agentic AI workflows and autonomous systems - Integrate LLMs with APIs, databases, tools, and external systems - Build AI agents capable of task execution, reasoning, and workflow automation - Develop and test AI-driven applications for reliability, scalability, and accuracy - Work with orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar tools - Collaborate with QA and engineering teams to validate AI behavior and performance - Improve prompt engineering, response quality, and system efficiency - Debug, monitor, and optimize AI workflows and backend integrations - Contribute to automation and testing strategies for AI systems ## Required Skills & Experience - 2+ years of experience in software development, AI engineering, automation, or related fields - Hands-on experience with LLMs and AI frameworks such as OpenAI, LangChain, LangGraph, CrewAI, AutoGen, or similar - Strong programming skills in Python and/or JavaScript - Experience working with APIs, backend systems, and automation workflows - Understanding of prompt engineering, AI orchestration, and workflow automation - Familiarity with databases, REST APIs, and cloud-based systems - Strong analytical and problem-solving abilities - Good communication and collaboration skills ## Nice to Have - Experience with vector databases and RAG architectures - Knowledge of AI evaluation/testing frameworks - Familiarity with Docker, CI/CD, and cloud platforms - Exposure to AI agents, multi-agent systems, or autonomous workflows - Experience in QA automation or testing AI systems ## What We Offer - Opportunity to work on cutting-edge AI systems and autonomous workflows - High ownership and exposure to real-world AI product development - Collaborative and innovation-driven environment - Career growth in AI engineering, automation, and intelligent systems - Flexible and fast-paced startup culture ## Why Join BestQ? At BestQ, you'll work on practical AI systems that solve real business problems — not just experiments. You'll collaborate with a team focused on building scalable, intelligent, and automation-driven products for the future.
Sourced via wellfound · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Wellfound ↗