AI Engineer
At a glance
Mid-level AI Engineering role at Weekday AI. Bengaluru · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and release production AI applications in Python or Node.js, then keep them running reliably
- Create agent-based systems and coordinate multi-agent tasks through AI workflows
- Shape prompts, context, grounding and memory so AI applications use information effectively
- Connect AI tools to enterprise systems with MCP, and build RAG features using vector search and embeddings
- Apply evaluation, monitoring and governance practices while improving reliability, scale and performance
What you bring
- At least five years of professional software engineering work
- Strong ability to program in Python or Node.js and deliver AI applications used in production
- Practical experience with agent frameworks, coordinated AI workflows, context design and MCP integrations
- Knowledge of RAG, vector databases, embeddings and semantic search, plus Azure AI or an equivalent platform
Who this fits
This mid-level, full-time role is based on-site in Bengaluru. It suits an experienced software engineer who has built production AI applications and can work with engineering, product and business teams.
From the employer
This role is for one of Weekday’s clients
Salary range: Rs 500000 - Rs 2000000 (ie INR 5 - 20 LPA)
Min Experience: 5+ years
Location: Bangalore
JobType: full-time
We are looking for an experienced AI Engineer with strong software engineering expertise and hands-on experience building and deploying AI-powered applications in production environments. The ideal candidate should have proficiency in Python or Node.js, along with practical knowledge of agentic frameworks, multi-agent systems, AI workflow orchestration, and Retrieval-Augmented Generation (RAG) architectures.
The role involves developing scalable AI solutions, integrating intelligent agents with enterprise systems, and implementing advanced AI capabilities using modern frameworks and cloud-based AI platforms.
Requirements
Key Responsibilities
- Design, develop, and deploy AI-powered applications in production environments using Python or Node.js.
- Build and implement agentic AI solutions, multi-agent systems, and intelligent workflow orchestration.
- Develop context engineering strategies, prompt orchestration, grounding techniques, and memory management capabilities.
- Implement Model Context Protocol (MCP) and integrate AI tools with external systems and enterprise applications.
- Design and develop RAG-based solutions using vector databases, embeddings, and semantic search.
- Leverage Azure AI services, Azure AI Foundry, Azure OpenAI, or equivalent AI platforms to build and deploy intelligent applications.
- Implement AI evaluation frameworks, observability mechanisms, and governance practices.
- Ensure responsible AI implementation, reliability, scalability, and performance of AI-powered solutions.
- Collaborate with engineering, product, and business teams to translate requirements into effective AI solutions.
- Continuously evaluate emerging AI technologies, frameworks, and tools to improve development efficiency and solution capabilities.
Required Skills and Qualifications
- 5+ years of professional software engineering experience.
- Strong programming expertise in Python or Node.js.
- Hands-on experience building, deploying, and maintaining AI-powered applications in production.
- Experience with agentic frameworks, multi-agent architectures, and AI workflow orchestration.
- Strong understanding of context engineering, prompt orchestration, grounding techniques, and memory management.
- Practical experience implementing MCP (Model Context Protocol) and AI tool integration patterns.
- Strong knowledge of RAG architectures, vector databases, embeddings, and semantic search.
- Experience with Azure AI services, Azure AI Foundry, Azure OpenAI, or equivalent AI platforms.
- Understanding of AI evaluation, observability, governance, and responsible AI practices.
- Excellent communication and collaboration skills, with the ability to work across technical and business teams.
Must-Have Skills
- Python
- AI-Powered Application Development
- Generative AI
- Agentic AI
- AI Workflow Orchestration
Good-to-Have Skills
- Node.js
- Multi-Agent Systems
- MCP (Model Context Protocol)
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- Embeddings and Semantic Search
- Azure AI Foundry
- Azure OpenAI
- AI Evaluation and Observability
- Responsible AI and Governance
AI Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
AI Engineering
Find me workBy the team behind aimlroles.