AI Engineer – GenAI & Multi-Agent Systems

Schillerndsolutions; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Schillerndsolutions in Bengaluru, India, seeks a seasoned AI/ML engineer to design and deploy LLM-powered multi-agent systems for enterprise workflows.

You will build RAG pipelines, integrate tools via APIs, and optimize prompt engineering, memory, and token usage while collaborating on MLOps practices.

The role requires 3–8 years in AI/ML with Generative AI focus, hands-on with LangChain, FAISS, Azure OpenAI, Docker and Kubernetes.

Qualifications

• 3–8 years of AI/ML experience with focus on Generative AI.
• Proficiency with prompt engineering and optimization.
• Experience with LLMs and GenAI frameworks (OpenAI, Hugging Face).
• Experience with agent frameworks: LangChain, AutoGen, CrewAI, Semantic Kernel.
• Experience with RAG pipelines and vector databases (FAISS, Pinecone, Weaviate).
• Experience building API-driven AI agents.
• Knowledge of Azure cloud platforms (Azure OpenAI, Azure AI Studio).
• Knowledge of Docker, Kubernetes, CI/CD.

Responsibilities

• Design and build multi-agent AI systems capable of planning, reasoning, and task execution.
• Develop applications using LLMs with advanced prompt engineering and orchestration.
• Build RAG pipelines with vector databases for enterprise grounding.
• Develop tool‑using agents that integrate with APIs, databases, and enterprise systems.
• Architect and deploy AI copilots and autonomous assistants for business workflows.
• Optimize LLM performance using fine-tuning, prompt chaining, and caching.
• Implement memory mechanisms (vector stores, knowledge graphs).
• Design multi-agent collaboration protocols (hierarchical, swarm, role-based).
• Deploy scalable solutions using MLOps + LLMOps practices.

Skills

Generative AI

Prompt engineering

Chain-of-thought reasoning

Context management

Education

Bachelor's/Master's in Computer Science/AI

Tools

LangChain

AutoGen

CrewAI

Semantic Kernel

FAISS

Pinecone

Weaviate

OpenAI

Hugging Face Transformers

Azure OpenAI

Azure AI Studio

Docker

Kubernetes

CI/CD

Job description

Design and deploy LLM-powered multi-agent systems that plan, reason, and autonomously execute enterprise workflows.

You will work on cutting-edge Agentic AI frameworks, enabling systems that go beyond prediction to decision-making, orchestration, and autonomous execution.

What you'll do

• Design and build multi-agent AI systems capable of planning, reasoning, and task execution
• Develop applications using LLMs (GPT, Claude, Llama, etc.) with advanced prompt engineering and orchestration
• Build RAG (Retrieval-Augmented Generation) pipelines with vector databases for enterprise knowledge grounding
• Develop tool-using agents that integrate with APIs, databases, and enterprise systems
• Architect and deploy AI copilots and autonomous assistants for business workflows
• Optimize LLM performance using fine-tuning, prompt chaining, and caching strategies
• Implement short-term and long-term memory mechanisms (vector stores, knowledge graphs)
• Design multi-agent collaboration protocols (hierarchical, swarm, role-based agents)
• Deploy scalable solutions using MLOps + LLMOps practices (monitoring, evaluation, guardrails)
• Ensure AI safety, governance, and responsible AI practices

What we're looking for

Bachelor's/Master's in Computer Science, AI, or related field

3–8 years experience in AI/ML with strong focus on Generative AI

Hands‑on experience with LLMs & GenAI frameworks: OpenAI, Hugging Face Transformers

Hands‑on experience with agent frameworks: LangChain, AutoGen, CrewAI, Semantic Kernel

Hands‑on experience with RAG pipelines & vector DBs: FAISS, Pinecone, Weaviate

Experience building API‑driven, tool‑integrated AI agents

Strong understanding of prompt engineering & prompt optimization

Strong understanding of chain‑of‑thought reasoning and tool augmentation

Strong understanding of context management and token optimization

Experience with Microsoft Azure cloud platforms (Azure OpenAI, Azure AI Studio)

Knowledge of Docker, Kubernetes, CI/CD pipelines

Role snapshot

• Full-time
• This project is in Bangalore office to work from. Client has an ODC in Bangalore and Pune. UK/US Working hours.
• Compensation is not a concern if the candidate is competitive.

Compensation shown is an indicative range — final offers are scoped to experience.

Four steps, no black box — a principal reads every application personally.

We hire for talent, not headcount.