AIML Engineer
Posted:
13 October 2026 (Yesterday)
Application Deadline:
10 January 2027
Vacancies:
1 Vacancy
Job Summary
Supercharge Your Career as a AI/ML Engineer at Technoidentity!
At Technoidentity were 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 its 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.
- Bachelors 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.
Required Skills:
Machine Learning