Founding AI Native Engineer

🚀 Hiring: Founding AI Native Engineer

📍 Location: Hyderabad, India / Remote to Start

💼 Employment Type: Full-time

🏢 **Company: AirawathExperienc

e: 5+ years preferred

Company

D

escription

Airawath

is building an AI-powered consumer platform focused on intelligent recommendations, personalized user experiences, relationship intelligence, and modern digital workflows.

The plat

f

orm combines user context, behavioral signals, personalization, and advanced AI systems to create meaningful, relevant, and high-quality user experiences. As an early-stage company, Airawath offers the opportunity to build core AI infrastructure, product intelligence, and scalable AI-native workflows from the ground up.

We are l

o

oking for an AI Native Engineer who can help design and build the intelligence layer of the platform — not just integrate AI APIs, but create production-ready AI systems that can reason, retrieve, recommend, personalize, automate, and execute multi-step workflows.

Role Des

c

ription

The AI N

a

tive Engineer will design, build, and optimize AI-driven systems that power intelligent product experiences across the Airawath platform.

This rol

e

requires strong hands-on engineering ability, deep applied AI understanding, and the ability to convert ambiguous product ideas into scalable AI-native workflows. You will work on systems involving LLMs, agentic workflows, RAG pipelines, vector databases, semantic search, recommendation logic, personalization, structured outputs, backend APIs, and cloud-native deployment.

This is

a

full-time role for someone who can work independently, think like a product engineer, collaborate closely with product/design/business teams, and take ownership of AI systems from architecture to production.

Key Resp

o

nsibilities

* Design

and build AI-native workflows using LLMs, RAG, embeddings, vector search, tool calling, memory, and agent orchestration.* Build m

ulti-step AI workflow systems capable of understanding user context, asking clarifying questions, recommending next actions, retrieving relevant information, and producing structured outputs.* Develop

backend services and APIs that power AI-driven product experiences.* Build r

ecommendation, ranking, matching, and personalization systems using user context, metadata, behavioral signals, and retrieval-based intelligence.* Impleme

nt RAG pipelines using embeddings, semantic search, hybrid retrieval, metadata filtering, reranking, and knowledge grounding.* Work wi

th vector databases such as Pinecone, Weaviate, Milvus, FAISS, Qdrant, Chroma, or similar.* Build A

I agents using frameworks such as LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, CrewAI, AutoGen, or similar.* Design

systems for conversation state, user memory, context management, preference modeling, and workflow continuity.* Impleme

nt structured outputs, function calling, tool calling, JSON schema-based responses, and API-driven AI actions.* Build e

valuation frameworks to measure AI quality, relevance, hallucination risk, response accuracy, ranking quality, and user satisfaction.* Optimiz

e AI workflows for latency, cost, reliability, token usage, observability, and production performance.* Collabo

rate with frontend, product, design, and leadership teams to translate product requirements into technical AI solutions.* Write c

lean, scalable, testable, and maintainable production code.* Deploy,

monitor, debug, and continuously improve AI services in production environments.

Core Tec

h

nical Requirements

* 5+ yea

r

s of software engineering experience.* Strong

proficiency in Python and backend engineering.* Hands-o

n experience building production AI/LLM-powered applications.* Strong

experience with LLM APIs such as OpenAI, Anthropic, Gemini, Hugging Face, or open-source models.* Experie

nce with LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, CrewAI, AutoGen, or similar AI orchestration frameworks.* Strong

understanding of RAG, embeddings, semantic search, vector databases, retrieval pipelines, and reranking.* Experie

nce with prompt engineering, structured outputs, function calling, tool calling, model routing, and AI workflow design.* Experie

nce building scalable backend services using FastAPI, Django, Flask, or similar frameworks.* Strong

understanding of REST APIs, async processing, background jobs, queues, caching, and event-driven workflows.* E…