Cloud AI Engineer

Generative AI Engineer

Starts Immediately
Competitive salary Competitive salary
Experience

Valiance is a deeptech AI company building sovereign and mission-critical solutions for enterprises, public sector, and government institutions. From predictive maintenance and demand planning to sovereign AI for citizen services, we design systems that thrive in high-impact environments. Recognized with the NASSCOM AI GameChangers Award and Aegis Graham Bell Award, and as a Google Cloud Partner, our 150+ engineers and data scientists are shaping the future of industries and societies with responsible AI.

We are looking for an AI Engineer who is not just proficient in using LLMs but deeply understands how they work, knows when to apply them, and can architect and deploy production-grade Gen AI and Agentic AI systems. You will work on real-world deployments across Document Intelligence and Video Intelligence products, alongside solution delivery for enterprise and public sector clients.
This role is structured around a four-stage engineering capability ladder from mastering LLM fundamentals to building MCP-integrated, tool-driven autonomous agent systems. LLM Engineering & Reliability
Manage context windows, token budgets, chat memory, and structured/JSON outputs effectively
Build FastAPI microservices that expose LLM capabilities as reliable, scalable APIs
Architect full RAG pipelines from tokenization and chunking through to output evaluation and traceability
Work with vector databases, similarity search, and hybrid/ranking retrieval strategies
Implement citation and provenance tracking to make AI responses auditable
Select and tune embedding models appropriate to domain and deployment constraints
Agentic AI Systems
Implement agent memory strategies both short-term (in-context) and long-term (persistent)
Build tool use and function calling pipelines; Architect systems using the Model Context Protocol (MCP) servers, clients, tools, and resources
Expose, integrate, and test tools for LLM-driven applications in agentic pipelines
46 years of hands-on software engineering experience; 2+ year in applied AI/LLM engineering

• Strong Python proficiency you write clean, tested, production-quality code
• Working knowledge of the OpenAI APIs, LangChain/LangGraph, and at least one vector database (Pinecone, Weaviate, PGVector)
• Experience building and deploying REST APIs using FastAPI or equivalent
• Familiarity with Google Cloud Platform services (Vertex AI, Cloud Run, BigQuery preferred)
• Understanding of AI evaluation frameworks you know how to measure and improve model output quality

You take ownership end-to-end from design to deployment to monitoring in production
You can translate ambiguous client problems into structured AI solutions
You communicate clearly with both technical peers and non-technical stakeholders
have minimum 2 years of experience
Probation: Duration:
Salary during probation:
After probation:
Annual CTC: Competitive salary
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