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MIRA Labs is building an AI-powered platform to transform how mortgage lending operates—from borrower onboarding and eligibility to underwriting and beyond. Our focus is on applying AI to real-world workflows—automating complex processes, improving decision-making, and delivering intelligent, context-aware user experiences for both consumers and enterprise users.
The Role
We are looking for an AI Engineer to design and build intelligent, agent-driven systems that power real-world workflows. This role focuses on applied AI and agentic architectures—building systems that can reason, retrieve information, and take actions across structured and unstructured environments. ⸻
What You’ll Do
Design and implement AI-powered features using large language models (LLMs)
Build agentic workflows that can plan, reason, and execute multi-step tasks
Develop systems for context-aware conversations and task orchestration
Integrate AI models with backend services, APIs, and data systems
Build retrieval and knowledge systems to support grounded AI responses (RAG)
Implement tool use / function calling / action execution layers
Design guardrails, validation, and fallback mechanisms for reliability
Work on multi-agent or modular AI systems for complex workflows
Evaluate and improve AI outputs using structured testing and feedback loops
Requirements
Requirements
3–5 years of software engineering experience with exposure to AI/ML systems
India
Hands-on experience with LLMs (Open AI, Gemini, or similar)
Strong understanding of:
Prompt design and context handling
Tool usage / function calling
Retrieval-augmented generation (RAG)
Experience building or integrating AI systems into production
Strong programming skills (Python or similar)
Understanding of APIs, data pipelines, and distributed systems
Ability to work with both structured and unstructured data
⸻
Nice to Have
Experience with agentic AI frameworks or orchestration systems
Familiarity with multi-agent communication patterns (e.g., agent-to-agent workflows)
Exposure to platforms such as Google Vertex AI, Open AI, or similar ecosystems
Experience with AI development kits (ADKs) or orchestration SDKs
Experience building tool-integrated AI systems (APIs, databases, workflows)
Understanding of evaluation frameworks for AI quality, safety, and reliability