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AI Platform Engineer - LLM/RAG

Bulwark Software Research
4 - 6 Years
Gurgaon/Gurugram

Posted on: 29/07/2026

Job Description

Job Title : AI Platform Engineer

Experience : 4 to 6 Years

Location : Gurgaon / Noida

Employment Type : Full-Time

About the Role :

We are looking for a passionate and experienced AI Platform Engineer to design, develop, and deploy cutting-edge AI-powered applications leveraging Large Language Models (LLMs) and modern Generative AI frameworks. You will play a key role in building intelligent assistants, AI agents, automation workflows, and scalable AI platforms that solve real-world business challenges.

Key Responsibilities :

- Design, develop, and deploy AI applications powered by Large Language Models (LLMs).

- Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases.

- Develop AI agents and intelligent automation workflows using modern orchestration frameworks.

- Integrate AI models with enterprise applications through REST APIs and microservices.

- Fine-tune, evaluate, and optimize LLMs for performance, scalability, and cost efficiency.

- Implement prompt engineering strategies, AI guardrails, and responsible AI practices.

- Deploy AI solutions on cloud platforms while ensuring scalability, security, and reliability.

- Collaborate with Product Managers, Data Scientists, and Engineering teams to deliver innovative AI features.

- Stay up to date with the latest advancements in Generative AI, LLMs, and AI platform technologies.

Required Skills :

- 46 years of experience in Python development.

- Strong hands-on experience with LLM APIs such as OpenAI, Azure OpenAI, Anthropic, or Gemini.

- Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks.

- Hands-on experience building RAG-based applications.

- Experience with Vector Databases such as Pinecone, Weaviate, FAISS, Chroma, or Milvus.

- Strong understanding of Prompt Engineering and LLM Evaluation techniques.

- Experience with REST APIs, FastAPI, or Flask.

- Hands-on experience with Docker, Git, and CI/CD pipelines.

Cloud & Deployment :

- Experience with AWS, Azure, or Google Cloud Platform (GCP).

- Knowledge of Kubernetes and serverless deployment is a plus.

- Familiarity with model monitoring and production deployment practices.

Preferred Skills :

- Experience building AI Agents and Autonomous Systems.

- Knowledge of MLOps and LLMOps.

- Experience with Speech-to-Text and Text-to-Speech technologies.

- Exposure to React, Streamlit, or Next.js for AI application interfaces.

- Experience working with SQL and NoSQL databases.

- Understanding of AI Safety, Governance, and Responsible AI principles.

Education :

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

What We're Looking For :

- Strong analytical and problem-solving skills.

- Passion for Generative AI and emerging technologies.

- Ability to thrive in a fast-paced, collaborative environment.

- Ownership mindset with a focus on delivering high-quality solutions.

- Excellent communication and teamwork skills.

If you're passionate about building next-generation AI platforms and working with the latest Generative AI technologies, we'd love to hear from you.

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