DescriptionWe are looking for AI Engineers to design and deliver intelligent agent-based solutions powered by Large Language Models (LLMs) and modern AI frameworks. You will work closely with cross-functional teams to embed Generative AI into products and services building scalable solutions that drive real business impact.
What Youll Do
- Design and build agent-based AI solutions using LLMs and advanced frameworks
- Integrate Generative AI into production systems and business applications
- Develop APIs and backend services using Python (FastAPI / Flask)
- Deploy AI applications on Azure AWS or GCP using Docker Kubernetes and serverless technologies
- Optimize prompts fine-tune LLMs and implement MLOps/LLMOps pipelines
- Collaborate with product engineering and business teams in a fast-paced environment
RequirementsWhat Youll Bring
- Strong proficiency in Python including asynchronous programming
- Hands-on experience with Generative AI and LLM techniques (RAG fine-tuning)
- Experience designing agent workflows (ReAct Chain-of-Thought planning)
- Familiarity with frameworks such as LangChain LangGraph Vertex AI Claude SDK or Microsoft Agent Framework
- Experience with cloud platforms (Azure AWS or GCP) and containerization
- Solid understanding of MLOps/LLMOps best practices
- Strong communication and problem-solving skills
Experience Levels
- Junior (12 years):Build agent tasks develop and test prompts support deployments
- Mid-Level (35 years):Design workflows optimize prompts mentor junior engineers
- Senior (5 years):Architect multi-agent systems define standards lead large-scale deployments
Qualifications
- Bachelors or Masters degree in Computer Science Engineering or a related field
- Scrum or Project Management certification is a plus
- Immediate availability is advantageous
Required Experience:
Senior IC
DescriptionWe are looking for AI Engineers to design and deliver intelligent agent-based solutions powered by Large Language Models (LLMs) and modern AI frameworks. You will work closely with cross-functional teams to embed Generative AI into products and services building scalable solutions that dr...
DescriptionWe are looking for AI Engineers to design and deliver intelligent agent-based solutions powered by Large Language Models (LLMs) and modern AI frameworks. You will work closely with cross-functional teams to embed Generative AI into products and services building scalable solutions that drive real business impact.
What Youll Do
- Design and build agent-based AI solutions using LLMs and advanced frameworks
- Integrate Generative AI into production systems and business applications
- Develop APIs and backend services using Python (FastAPI / Flask)
- Deploy AI applications on Azure AWS or GCP using Docker Kubernetes and serverless technologies
- Optimize prompts fine-tune LLMs and implement MLOps/LLMOps pipelines
- Collaborate with product engineering and business teams in a fast-paced environment
RequirementsWhat Youll Bring
- Strong proficiency in Python including asynchronous programming
- Hands-on experience with Generative AI and LLM techniques (RAG fine-tuning)
- Experience designing agent workflows (ReAct Chain-of-Thought planning)
- Familiarity with frameworks such as LangChain LangGraph Vertex AI Claude SDK or Microsoft Agent Framework
- Experience with cloud platforms (Azure AWS or GCP) and containerization
- Solid understanding of MLOps/LLMOps best practices
- Strong communication and problem-solving skills
Experience Levels
- Junior (12 years):Build agent tasks develop and test prompts support deployments
- Mid-Level (35 years):Design workflows optimize prompts mentor junior engineers
- Senior (5 years):Architect multi-agent systems define standards lead large-scale deployments
Qualifications
- Bachelors or Masters degree in Computer Science Engineering or a related field
- Scrum or Project Management certification is a plus
- Immediate availability is advantageous
Required Experience:
Senior IC
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