Agentic AI/ Prompt Engineer

Required Skills

4 years

of experience in AI/ML, NLP, software engineering, or related domains.

• Mandatory: Strong hands-on experience in

Python

and

TypeScript

.

• Proficiency in Python for automation, scripting, data processing, and API integrations.
• Proficiency in TypeScript for backend logic, APIs, and application development.
• Practical experience working with

LLMs

, prompt engineering, and model evaluation.

• Understanding of NLP concepts, embeddings, and vector search pipelines.

Strong analytical, debugging, and problem‑solving skills

Required Skills

4 years

of experience in AI/ML, NLP, software engineering, or related domains.

• Mandatory: Strong hands-on experience in

Python

and

TypeScript

.

• Proficiency in Python for automation, scripting, data processing, and API integrations.
• Proficiency in TypeScript for backend logic, APIs, and application development.
• Practical experience working with

LLMs

, prompt engineering, and model evaluation.

• Understanding of NLP concepts, embeddings, and vector search pipelines.

Strong analytical, debugging, and problem‑solving skills

Good to Have

• Experience with

React

for integrating AI capabilities into front-end applications.

• Familiarity with

LangChain, LlamaIndex

, or other LLM orchestration frameworks.

• Experience with cloud platforms (Azure, AWS, GCP).
• Knowledge of microservices, REST APIs, and deployment workflows.

• 4 years of experience in AI/ML, NLP, software engineering, or related domains.
• Mandatory: Strong hands-on experience in Python and TypeScript.
• Proficiency in Python for automation, scripting, data processing, and API integrations.
• Proficiency in TypeScript for backend logic, APIs, and application development.
• Practical experience working with LLMs, prompt engineering, and model evaluation.
• Understanding of NLP concepts, embeddings, and vector search pipelines.
• 4 years of experience in AI/ML, NLP, software engineering, or related domains.
• Mandatory: Strong hands-on experience in Python and TypeScript.
• Proficiency in Python for automation, scripting, data processing, and API integrations.
• Proficiency in TypeScript for backend logic, APIs, and application development.
• Practical experience working with LLMs, prompt engineering, and model evaluation.
• Understanding of NLP concepts, embeddings, and vector search pipelines.
• Experience with React for integrating AI capabilities into front-end applications.
• Familiarity with LangChain, LlamaIndex, or other LLM orchestration frameworks.
• Experience with cloud platforms (Azure, AWS, GCP).
• Knowledge of microservices, REST APIs, and deployment workflows.