AI Platform Engineer (Product Engineering & Internal Innovation) Location: 8-13-95/77, Opposite National Police Academy Main Gate, Sivarampally, Hyderabad, Telangana 500052

Experience: 6+ Years

Employment Type: Full-Time

Timing – 9:30 AM KSA time

Department: Technology & Innovation Prismberry Technology Prismberry Technologies Pvt. Ltd. is an AI-first IT consulting and digital engineering company specializing in Generative AI, Cloud, Data Engineering, Product Development, SAP, DevOps, Quality Engineering, and IT Staff Augmentation. We partner with global enterprises and GCCs to deliver innovative, scalable, and business-driven technology solutions across India, the USA, and the Middle East.

Position

Summary The AI Platform Engineer will play a key role in designing, developing, and maintaining TechVisions' internal AI platform and reusable AI components. This role is focused on engineering and platform development rather than customer consulting.

The successful candidate will work closely with Cloud, Security, DevOps, Product Engineering, and Pre-Sales teams to develop scalable AI services that support both customer projects and future AI products. Key ResponsibilitiesAI Platform Development

Design and develop enterprise AI platform services

Build reusable AI APIs and shared platform components

Develop AI orchestration services and workflow engines

Build Model Gateway services for multiple LLM providers

Develop Prompt Management and Prompt Library services

Build Retrieval-Augmented Generation (RAG) platforms

Implement AI Observability and Monitoring capabilities AI Engineering





Develop high-performance Python applications using FastAPI

Build Agent-based and Multi-Agent AI systems

Design AI pipelines and workflow orchestration services

Develop background processing and asynchronous services

Build secure REST APIs for enterprise AI applications AI Model Integration & Deployment

Integrate and deploy AI models and services including:

OpenAI

Claude

Gemini

Groq

Ollama vLLM

Open-source Large Language Models (LLMs)

AI Infrastructure

Deploy and manage AI services using Docker and Kubernetes Configure GPU-enabled environments

Maintain model serving infrastructure

Implement API Gateway integrations

Optimize caching and performance for AI workloads

Software Quality & Engineering Excellence

Write clean, maintainable, and well-documented code

Develop unit, integration, and API tests

Participate in code reviews

Perform performance tuning and optimization

Support secure software development practices Required QualificationsEducation

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field. Experience

5-8 years of professional software engineering experience

Experience developing production-grade AI applications

Strong Python development experience





Experience building RESTful APIs

Experience working in Agile development environments Required Technical SkillsProgramming & Backend

Python

FastAPI

Async Programming

REST APIs

Git

Databases

PostgreSQL

Redis

Containerization & Infrastructure

Docker

Kubernetes

AI & Machine Learning

Experience with one or more of the following:

LangChain

LangGraph

Model Context Protocol (MCP)

OpenAI SDK

Prompt Engineering

Retrieval-Augmented Generation (RAG)

Vector Search

Embeddings

AI Evaluation Frameworks

Run:AI

Ray Serve (Preferred)

AI Infrastructure

Exposure to

Ollama vLLM

NVIDIA GPU environments

CUDA (Basic Knowledge)

TensorRT (Preferred) Preferred Qualifications

Experience or knowledge in

Cloud Platforms (OCI, Azure, AWS, or Google Cloud)

Enterprise Architecture

Enterprise Security

Identity and Access Management Soft Skills

Robust analytical and problem-solving abilities

Passion for AI and emerging technologies

Ability to work collaboratively in cross-functional teams

Excellent communication and documentation skills

Self-motivated with a continuous learning mindset

Strong attention to quality and engineering best practices Key Performance Indicators (KPIs)

Success in this role will be measured by:

Delivery of production-ready AI services

Platform stability and reliability

Code quality and maintainability

Deployment frequency and release quality

Development of reusable AI accelerators

Creation of shared platform components

Contribution to product roadmap execution

📌 AI Platform Engineer (Hyderabad)
🏢 Prismberry Technologies
📍 Hyderabad