AI Engineer

Company : Posimind

Job Type : Full Time

Pune, India

Number of Applicants

:

000+

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Job Description - AI Engineer

â Design, develop, and maintain scalable backend services using TypeScript/JavaScript

â Build and operate cloud -native applications on AWS Serverless architecture using:

â API Gateway

â Lambda

â DynamoDB

â VPC

â Design and implement REST APIs and event -driven architectures

â Build and deploy production -grade Generative AI applications

â Develop RAG -based solutions using vector databases, embeddings, and modern LLM frameworks

â Engineer effective prompts and AI workflows to optimize application performance

â Conduct LLM evaluations, benchmarking, and performance analysis

â Implement AI observability, monitoring, and quality evaluation mechanisms

â Work with WebSocket -based real -time communication systems

â Build robust automated testing frameworks including:

â Unit Testing

â Integration Testing

â Implement and maintain CI/CD pipelines and deployment workflows

â Collaborate with Product, Engineering, and AI teams to deliver AI -powered features

â Troubleshoot, debug, and optimise application performance and reliability

â Contribute to architecture decisions and engineering best practice

Requirements

Required Qualifications

â 3–6 years of professional software engineering experience

â Strong expertise in TypeScript/JavaScript

â Hands -on experience with AWS Serverless services:

â API Gateway

â Lambda

â DynamoDB

â VPC Networking

â Experience designing and building distributed backend systems

â Strong understanding of REST APIs, microservices, and event -driven architectures

â Experience with WebSockets and real -time communication systems

â Strong experience with Unit Testing and Integration Testing

â Experience building and supporting production -grade GenAI applications

â Experience working with LLMs such as:

â OpenAI

â Anthropic

â Gemini

â Open -source LLMs

â Experience with prompt engineering and prompt optimization techniques

â Experience conducting LLM evaluations and measuring model performance

â Familiarity with:

â LangChain

â LangGraph

â LlamaIndex

â Semantic Kernel

â Experience with vector databases, embeddings, and RAG architectures

â Strong software engineering fundamentals, design patterns, and system design skills

â Excellent problem -solving and communication skills

Preferred Qualifications

â Experience with AI agent frameworks and agentic workflows

â Experience with AI evaluation frameworks such as LangSmith, Ragas, DeepEval, or equivalent

â Familiarity with AI observability and monitoring platforms

â Experience optimizing LLM cost, latency, and reliability

â Exposure to multi -agent systems and advanced GenAI architectures

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