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.

- Positive 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 flexible 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 (India)
🏢 TechnoIdentity
📍 India