Supercharge Your Career as a AI/ML Engineer at Technoidentity At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact. We are looking for AI/ML Engineers who are excited about building intelligent systems, AI agents, LLM-powered applications, and production-ready AI workflows that solve real business problems. What Will You Be Doing?
• Design, develop, and maintain AI/ML applications and LLM-powered solutions.
• Build AI agents, agentic workflows, and orchestration layers.
• Develop and integrate Model Context Protocol tools and AI system integrations.
• Work with prompts, tools, retrieval, function calling, and workflow automation patterns.
• Collaborate with product, engineering, and business teams to convert use cases into AI solutions.
• Evaluate model performance, reliability, safety, and output quality.
• Support production deployment, monitoring, and continuous improvement of AI systems.
• Document solution architecture, workflows, evaluation results, and implementation details. Requirements What Makes You the Perfect Fit?
• 3+ years of experience in AI/ML engineering, LLM application development, backend engineering, or applied AI roles.
• Hands-on experience building LLM-powered applications or AI agents.




• Understanding of AI agent development, orchestration, and tool-based workflows.
• Exposure to Model Context Protocol tools and integrations, or willingness to learn quickly.
• Experience with Python and common AI/ML or LLM development frameworks.
• Understanding of prompt engineering, RAG, function calling, embeddings, and evaluation techniques.
• Ability to deploy, monitor, and improve AI solutions in production environments.
• Strong problem-solving, experimentation, and critical thinking skills.
• Good communication, collaboration, and ownership mindset.
• Understanding of MLOps, LLMOps, observability, monitoring, and evaluation pipelines.
• Bachelor's degree in Computer Science, IT, Engineering, Data Science, or a related field. Good to Have Skills
• Exposure to working with temporal.
• Experience with ADK.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, or pgvector.
• Familiarity with backend development using Python, Go, Java.
• Experience with workflow orchestration tools such as Temporal or similar platforms.
• Exposure to enterprise workflows, or regulated production environments. ​ Work Requirements
• Willingness to work in versatile shift timings based on project requirements.
• Ability to work independently on POCs, prototypes, and production AI solutions.
• Strong ownership in building reliable, secure, and useful AI systems. ​

📌 AI/ML Engineer (Hyderabad)
🏢 TechnoIdentity
📍 Hyderabad