AI Engineer

About the job

Role : AI Engineer Location : Pune / Remote Type : Contract-to-Hire (Full-time employment may be offered after 6 months; to work from the Pune office) Experience : Mid-Senior Level Role Overview : We are looking for a highly skilled AI Engineer to lead the development of autonomous AI systems. This is not just a prompt engineering role; you will be architecting complex Agentic pipelines and R ... AG systems that solve real-world enterprise problems. While our infrastructure runs on Oracle Cloud (OCI) , we value strong engineering fundamentals above all. We are looking for an expert in Python and Cloud architectures (AWS / GCP) who is adaptable and eager to map those skills to the OCI ecosystem. Key Responsibilities • Agentic AI Architecture (Primary) : Design and build stateful, multi-actor AI agents using LangChain and LangGraph . • RAG Implementation : Build production-grade Retrieval-Augmented Generation (RAG) pipelines, managing vector stores and semantic search optimization. • High-Performance Python : Write robust, scalable, and multithreaded Python code to handle high-concurrency workloads. • API Development : Develop high-latency, asynchronous REST APIs using FastAPI to serve models and agents. • Database Design : Architect efficient data layers using both SQL (PostgreSQL / Oracle) and NoSQL databases. • Cloud Infrastructure : Deploy and manage services on cloud platforms. You will translate your AWS / GCP expertise to manage OCI Compute, Object Storage, and OCI Queue . • Ownership : Take end-to-end responsibility for features—from system design and coding to deployment and monitoring. Technical Requirements 1. Generative AI (High Priority) • Must Have : Deep hands-on experience with LangChain and LangGraph . • Must Have : Proven track record of building Agentic workflows and RAG pipelines. • Experience : Familiarity with LLMs (GPT-4, Claude, Llama 3) and fine-tuning concepts. 2. Engineering & Python • Expert Python : Mastery of the language, including asyncio , multithreading, decorators, and memory management. • Frameworks : Production experience with FastAPI . • Concurrency : Ability to write scalable code that maximizes throughput. 3. Cloud & Data • Cloud Agnostic : Strong experience with AWS (S3, EC2, RDS, SQS) or GCP is required. • Must be willing to learn and adapt to Oracle Cloud Infrastructure (OCI). • Databases : Proficient in SQL and NoSQL modeling. Soft Skills & Expectations • Schedule : Willingness to overlap with US Morning hours (Late evening / night shifts in local time). • Communication : Excellent verbal and written skills; able to explain complex AI concepts clearly. • Mindset : Extreme ownership. You are a self-starter who identifies gaps and fills them without waiting for permission.

Requirements

• Python
• Agentic AI Architecture
• RAG Implementation
• API Development
• Database Design
• Cloud Infrastructure

Preferred Technologies

• Python
• Agentic AI Architecture
• RAG Implementation
• API Development
• Database Design
• Cloud Infrastructure