AI Systems Engineer

Key Responsibilities

• Design complex prompt strategies (Chain-of-Thought, Few-Shot, ReAct) for high-quality LLM outputs.
• Optimize system prompts to reduce hallucinations, improve tone consistency, and manage token usage.
• Build automated evaluation pipelines to benchmark prompt performance against ground-truth datasets.
• Develop, deploy, and maintain scalable RESTful APIs using FastAPI.
• Integrate LLM providers, MongoDB databases, and 3rd-party tools into application workflows.
• Implement async execution and caching to reduce latency and improve response times.

Must-Haves

• Bachelor's degree in computer science, IT, or related technical field.
• 2+ years of experience in software development or AI application engineering.
• Strong Python skills with FastAPI or Flask.
• Experience using LLM APIs (OpenAI, Anthropic, etc.) and understanding parameters (Temperature, Top-P, context windows).
• Hands-on experience with MongoDB and NoSQL data modeling.
• Solid understanding of RESTful API principles and HTTP standards.
• Proficient with Git/GitHub.

Nice-to-Haves

• Experience with LangChain or OpenAI Agents SDK.
• Familiarity with vector databases (Milvus, Pinecone, Qdrant) for RAG pipelines.
• Experience writing unit tests (pytest) for AI systems.
• Basic understanding of Docker/containerization.

Job Types: Full-time, Permanent

Pay: ₹11,262.66 - ₹35,000.00 per month

Work Location: In person