About the role
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 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.