ConsultBae
Website:
consultbae.com
Job details:
Role: Senior AI Engineer SDE2/SDE3
Location: Bangalore – Bellandur (Outer Ring Road)
Work Model: 5 Days (Work from Office)
Experience: 5–10 Years
Reporting To: Head of Engineering
Role Overview
We are looking for a Senior AI Engineer to join a fast-growing technology team and help build cutting-edge AI-powered products in the travel tech space. This role involves designing and deploying production-grade AI systems, building intelligent workflows using LLMs, and driving the development of scalable AI infrastructure.
The ideal candidate will have strong backend engineering fundamentals combined with hands-on experience in LLM applications, agentic workflows, and AI system evaluation, and will thrive in a fast-paced startup environment where they can take ownership from concept to production.
Key Responsibilities
- Build and own production-grade AI features across the stack—from prototyping and experimentation to deployment and monitoring
- Design and implement agentic workflows combining LLM reasoning, retrieval systems, APIs, and business rules
- Build and optimize RAG-based search systems, including document ingestion, embedding pipelines, vector indexing, hybrid retrieval, and reranking
- Integrate models with internal and external systems using APIs, tool calling, and MCP-compatible interfaces
- Drive context engineering by managing instructions, memory, conversation state, and retrieved context to improve model performance
- Develop evaluation frameworks including benchmark datasets, automated regression tests, and human-in-the-loop review workflows
- Implement observability and debugging tools for AI systems such as trace inspection, latency tracking, hallucination analysis, and failure monitoring
- Establish best practices for AI system reliability, security, guardrails, experimentation, and cost-performance optimization
Must-Have Requirements
- 5–10 years of software engineering experience, including 1–3 years building and deploying AI/ML or LLM-powered products in production
- Strong programming experience in Python or Java
- Hands-on experience with LLM application patterns such as RAG, tool/function calling, vector search, reranking, and structured output generation
- Experience designing agent-based workflows and orchestration systems
- Familiarity with Model Context Protocol (MCP) or similar integration frameworks
- Strong understanding of prompt engineering, context management, and AI system design
- Experience with AI evaluation and observability tools (offline evaluations, monitoring, regression testing, cost/latency tracking)
- Experience using AI-native developer tools such as coding agents or AI-assisted workflows
- Ability to work in a fast-paced startup environment with end-to-end ownership
What We Offer
- Opportunity to build and scale AI capabilities from the ground up
- Fast iteration cycles with rapid product releases
- Collaborative engineering culture with high ownership
- In-person work environment with strong team collaboration
- Additional perks and benefits
Click on Apply to know more.