<div>At Ariqt International, we are a developer-first company committed to helping our clients modernize their technology and streamline their processes, ultimately transforming their overall experience. Our goal is to ensure that our clients stay ahead in today's rapidly changing world. From start to finish, we are with our clients every step of the way, providing full product development services with a keen focus on quality &amp; security. Visit our website at www.ariqt.com or follow us on social media @ariqtinternational for any tech-based challenges or solutions.</div>

Ariqt International

Job Description: AI Engineer
Company: Ariqt Global Technologies Experience: 2–5 Years Employment Type: Full-time Location: Hyderabad, Telangana.
About Ariqt Global Technologies
At Ariqt Global Technologies, we are passionate about building innovative, AI-powered solutions that solve real-world business problems. We are looking for a passionate Software Engineer – AI who loves coding, enjoys experimenting with emerging technologies, and is excited about building intelligent, scalable, and production-ready AI applications.
If you are enthusiastic about LLMs, Agentic AI, AI-powered engineering, and next-generation software architecture, and have an entrepreneurial mindset to turn ideas into impactful products, we would love to have you on our team.
Role Overview
We are seeking a highly motivated AI Engineer with 2–5 years of software development experience and a strong interest in AI engineering. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Agentic AI, AI-assisted development tools, and modern software engineering practices.
You will be responsible for designing, developing, and deploying AI-powered applications, building intelligent agents, integrating AI models into enterprise solutions, and leveraging AI tools to accelerate software development and innovation.
We value engineering excellence, ownership, curiosity, and a passion for coding over familiarity with any one specific technology.
Key Responsibilities
* AI &amp; LLM Engineering: Design, develop, and integrate LLM-powered applications using models and frameworks such as OpenAI, Anthropic, LangChain, LangGraph, and other emerging AI technologies. * Agentic AI Development: Build AI agents, multi-agent workflows, tool-calling systems, and autonomous AI solutions to automate complex business processes. * AI-Assisted Software Engineering: Leverage AI coding assistants and development tools such as GitHub Copilot, Cursor, Claude, and other AI-powered tools to improve developer productivity and code quality. * Harness Engineering: Develop and maintain the infrastructure, tools, evaluation loops, guardrails, context management, and feedback mechanisms that enable AI agents and coding systems to operate reliably. * Software Development: Write clean, maintainable, scalable, and production-ready code while following industry best practices and modern software development principles. * Solution Architecture: Contribute to designing end-to-end technical solutions, including system architecture, APIs, microservices, integrations, and cloud-native applications. * Engineering Best Practices: Apply SOLID principles, design patterns, clean architecture, CI/CD, automated testing, and secure coding practices. * AI Integration: Build RAG-based applications, vector search solutions, knowledge retrieval systems, and AI-driven automation workflows. * Problem Solving: Analyze complex technical and business challenges and develop practical, innovative, and scalable solutions. * Collaboration &amp; Ownership: Work closely with cross-functional teams, product stakeholders, and leadership to translate business requirements into technical solutions. * Continuous Innovation: Stay updated with emerging AI technologies, experiment with new tools and frameworks, and proactively identify opportunities to leverage AI.
Required Technical Skills
Programming &amp; Software Engineering
* Strong proficiency in Python and/or JavaScript/TypeScript. * Solid understanding of object-oriented programming, data structures, algorithms, and problem-solving. * Good knowledge of REST APIs, backend development, databases, and application integration. * Experience with Git, version control, debugging, testing, and CI/CD practices.
LLMs &amp; Generative AI
* Hands-on knowledge of LLMs, including GPT, Claude, Gemini, Llama, or similar models. * Understanding of prompt engineering, structured outputs, function calling, and context management. * Experience with LLM frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent. * Knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search. * Understanding of LLM evaluation, hallucination mitigation, latency, and cost optimization.
Agentic AI &amp; AI Engineering
* Understanding of Agentic AI architectures, AI agents, tool use, planning, memory, and orchestration. * Exposure to multi-agent systems and frameworks such as LangGraph, CrewAI, AutoGen, or similar. * Ability to design AI workflows that combine LLMs with APIs, databases, and external tools. * Knowledge of agent observability, evaluation, guardrails, and reliability engineering. * Familiarity with harness engineering, including agent execution environments, context engineering, test-driven feedback loops, and controlled tool access.
AI Development Tools
* Hands-on experience or strong familiarity with AI coding assistants such as Cursor, GitHub Copilot, Claude Code, or similar tools. * Ability to use AI tools effectively for code generation, refactoring, debugging, test creation, and documentation. * Understanding of AI-assisted development workflows, code reviews, and validating AI-generated code. * Willingness to continuously experiment with new AI tools and development methodologies.
Architecture &amp; Engineering Principles
* Strong understanding of SOLID principles, object-oriented design, and software design patterns. * Knowledge of clean architecture, modular design, microservices, and distributed systems. * Understanding of scalable application design, API design, security, and performance optimization. * Familiarity with cloud platforms such as AWS, Azure, or GCP. * Exposure to Docker, Kubernetes, serverless architecture, and deployment automation is an advantage.
Preferred Qualifications
* Experience building and deploying AI-powered applications in real-world or production environments. * Exposure to end-to-end solution architecture and technical design. * Experience with vector databases such as Pinecone, Weaviate, Chroma, or pgvector. * Knowledge of agent evaluation, tracing, observability, and AI testing frameworks. * Experience with SQL/NoSQL databases and cloud-native application development. * Contributions to open-source projects, personal AI projects, hackathons, or technical communities. * A strong portfolio of AI applications, GitHub repositories, or demonstrable technical projects.
Soft Skills &amp; Mindset
* Entrepreneurial Mindset: Think like a founder, take initiative, identify opportunities, and turn ideas into working solutions. * Passion for Coding: A genuine love for writing code, experimenting with technologies, and building products. * Ownership &amp; Accountability: Take end-to-end ownership of tasks, from ideation and design to development, deployment, and support. * Excellent Communication: Clearly articulate technical concepts, communicate ideas effectively, and collaborate with technical and non-technical stakeholders. * Problem-Solving Ability: Strong analytical and logical thinking with the ability to break down complex challenges into practical solutions. * Learning Agility: Be curious, adaptable, and eager to learn and apply rapidly evolving AI technologies. * Innovation &amp; Execution: Be comfortable with ambiguity, think creatively, move fast, and focus on delivering measurable outcomes. * Team Player: Collaborate effectively while being capable of independently driving initiatives.
What We Offer
* The opportunity to work on cutting-edge LLMs, Agentic AI, and next-generation AI-powered products. * A fast-paced, innovation-driven environment with significant technical ownership. * Opportunities to experiment with emerging AI technologies and shape engineering practices. * Exposure to end-to-end product development, solution architecture, and enterprise AI implementations. * A culture that values entrepreneurial thinking, creativity, continuous learning, and engineering excellence. * The opportunity to make a meaningful impact on the company’s AI-driven growth and innovation journey.
Who Should Apply?
We are looking for engineers who don’t just want to write code but are passionate about building products, solving meaningful problems, and pushing the boundaries of AI.
If you enjoy experimenting with LLMs, building intelligent agents, using AI to become a better engineer, and taking ownership of solutions from concept to deployment, this role at Ariqt Global Technologies is for you.