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AIML Engineer

Technoidentity


Job Location:

Hyderabad - India

Monthly Salary: Not provided by the employer
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