Essential functions

• Design, develop, and implement LLM-based applications, with a focus on AI Agents, conversational systems, and intelligent decision-making pipelines.

• Develop and optimize prompts and prompt orchestration frameworks tailored to specific use cases.

• Implement vector search and retrieval-augmented generation (RAG) pipelines to improve model output relevance.

• Collaborate with product and data teams to translate business requirements into scalable AI-driven solutions.

• Deploy, optimize, and monitor AI applications in cloud environments (Azure, GCP, or AWS).

• Stay updated with advancements in LLMs, NLP, and generative AI technologies, incorporating best practices into projects.

• Contribute to code reviews, technical discussions, and knowledge sharing within the team.

Qualifications

• Looking for minimum 3+ years of experience.
  Strong programming skills in Python (object-oriented programming, scripting, APIs, and libraries).

• Proven experience in building LLM-based applications and/or AI Agents.

• Proficiency in prompt engineering and evaluation techniques.

• Hands-on expertise with vector search technologies (e.g., FAISS, Pinecone, Weaviate, or equivalent).

• Experience deploying applications on at least one major cloud provider (Azure, GCP, or AWS).

Would be a plus

• Background in Data Science or Machine Learning Engineering, with experience in NLP techniques.

• Prior experience with Microsoft Azure AI and Cognitive Services, including deployment and scaling.

• Familiarity with MLOps practices, CI/CD for machine learning models, and monitoring tools.

• Knowledge of transformer architectures and model fine-tuning.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office