Website:
airawath.com
Job details:
🚀 Hiring: AI Native Engineer
📍 Location: Hyderabad, India
💼 Employment Type: Full-time
🏢 Company: Airawath
Experience: 5+ years preferred
Airawath is hiring an AI Native Engineer to help build the intelligence layer of a modern consumer AI platform.
We are looking for a strong product-minded engineer who can design, build, deploy, and improve AI-powered application workflows using LLMs, agents, recommendation systems, retrieval pipelines, backend services, and scalable cloud infrastructure.
This is not a generic chatbot role. This is a hands-on engineering role for someone who can build production-grade AI systems that are reliable, scalable, measurable, and deeply integrated into user-facing product experiences.
What You Will Own
* Build AI-native application workflows using LLMs, structured outputs, tool/function calling, memory, retrieval, and agent orchestration.
* Design and implement intelligent recommendation, ranking, matching, and personalization systems.
* Build RAG pipelines using embeddings, vector databases, hybrid search, metadata filtering, and re-ranking.
* Develop backend services and APIs that power AI-driven product experiences.
* Create AI agents that can reason through multi-step workflows, use tools, call APIs, maintain context, and handle user-specific state.
* Design systems for conversation memory, user context, preference modeling, and behavioral feedback loops.
* Build evaluation frameworks to measure AI quality, recommendation relevance, hallucination risk, response accuracy, and user outcomes.
* Optimize AI systems for latency, cost, reliability, observability, and production readiness.
* Work closely with product, engineering, design, and leadership to convert ambiguous AI ideas into real product features.
* Stay hands-on across architecture, coding, testing, deployment, monitoring, and iteration.
Core Technical Requirements
* 5+ years of software engineering experience.
* Strong hands-on Python engineering experience.
* Experience building production AI/LLM-powered applications.
* Strong experience with LLM APIs such as OpenAI, Anthropic, Gemini, Hugging Face, or open-source models.
* Experience with LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, CrewAI, AutoGen, or similar AI orchestration frameworks.
* Strong understanding of prompt engineering, structured outputs, function calling, tool calling, and model routing.
* Experience building RAG systems using embeddings, vector databases, semantic search, and retrieval pipelines.
* Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, Qdrant, Chroma, or similar.
* Strong backend/API development experience using FastAPI, Django, Flask, or similar Python frameworks.
* Experience with PostgreSQL, Redis, background jobs, queues, caching, and event-driven workflows.
* Ability to build clean, scalable, maintainable backend services.
* Experience deploying cloud-native applications on AWS, Azure, or GCP.
* Familiarity with Docker, CI/CD, monitoring, logging, and production debugging.
* Strong understanding of authentication, authorization, user sessions, API design, and data security basics.
Strong Plus
* Experience with recommendation systems, personalization, ranking, search relevance, or matching algorithms.
* Experience with candidate generation, scoring, re-ranking, feedback loops, and A/B testing.
* Experience with consumer applications, marketplaces, e-commerce, SaaS, social products, productivity tools, or workflow automation platforms.
* Experience building multi-agent systems with memory, tool usage, human-in-the-loop approvals, and long-running task execution.
* Experience with AI evaluations, test datasets, guardrails, hallucination control, safety checks, and observability.
* Experience optimizing LLM applications for cost, latency, token usage, and reliability.
* Experience with product analytics, experimentation, funnels, and user behavior data.
* Experience integrating third-party APIs and external data sources.
Who We Are Looking For
We are looking for someone who:
* Thinks like a product engineer, not just an AI API integrator.
* Can move from idea → architecture → implementation → deployment → iteration.
* Has built real AI applications, not only prototypes or demos.
* Can work with ambiguity and define the technical path forward.
* Understands both AI quality and user experience.
* Can make practical engineering tradeoffs.
* Has strong ownership and can operate in a fast-moving startup environment.
* Communicates clearly and works well with cross-functional teams.
* Is comfortable working directly with founders and early engineering leadership.
* Is willing to take full ownership of critical AI systems.
What We Do Not Want
Please do not apply if your experience is limited to:
* Basic ChatGPT wrappers.
* Prompt writing only.
* Academic ML notebooks with no production deployment.
* Demo-level LangChain projects with no real users.
* Pure data science without backend engineering.
* Backend engineering with only surface-level AI exposure.
Proof of Work
Candidates who can share GitHub links, architecture diagrams, product demos, technical write-ups, shipped AI features, or examples of production AI systems will be prioritized.
Compensation
Competitive salary based on experience and capability.
Founding-team growth opportunity for the right candidate.
How to Apply
Send your resume, GitHub, portfolio, AI demos, or relevant project links to:
[sarath@analyticera.io](mailto: careers@analyticera.io)
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Click on Apply to know more.