Job Description
Job Description
Our Client, The Pace Infosys is Hiring AI/ML Developer.
Responsibilities
Build and maintain AI-powered applications using modern LLM frameworks and APIs
Develop and improve Retrieval-Augmented Generation (RAG) pipelines
Integrate vector databases and semantic search systems
Implement and manage MCP servers/tools and AI agent workflows
Work with embeddings, chunking strategies, indexing, and retrieval optimization
Integrate third-party AI providers such as OpenAI, Gemini, etc.
Design prompts, structured outputs, and tool-calling workflows
Build APIs and backend services for AI applications
Experiment with AI agents, memory systems, and orchestration frameworks
Optimize AI system performance, latency, and token usage
Collaborate with engineering teams on architecture and deployment
Stay updated with emerging AI/ML trends, frameworks, and best practices
Requirements
Strong understanding of Large Language Models (LLMs)
Experience building RAG systems
Familiarity with embeddings and vector similarity search
Experience with prompt engineering and structured outputs
Understanding of AI agents and tool-calling concepts
Experience implementing or integrating MCP (Model Context Protocol)
Proficiency in Python and Typescript/Javascript
Experience developing REST APIs with frameworks such as FastAPI, Flask or Django
Experience with vector databases such as pinecone or pgvector
Nice to Have
Fine-tuning or model training experience
Experience with local/self-hosted models
Knowledge of AI evaluation and observability
Familiarity with CI/CD pipelines
Experience deploying AI services at scale
Familiarity with Docker and basic cloud deployment knowledge
Understanding of security and privacy considerations in AI systems
Skills: pipelines,models,architecture,building,agents,databases,basic,vector,search,ml,artificial intelligence
Ready to take the next step in your career?
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Ready to take the next step in your career?
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स्रोत: Kumarijob | You will be redirected to the original job posting to complete your application.
KaamNepal does not collect applications or store personal data.