AI Engineer
AI Engineer
TECEZE- Posted a month ago
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Job Description
Hiring: AI Engineer | Bangalore
We are looking for an experienced AI Engineer with strong hands-on experience in Python, GenAI, LLMs, RAG, MCP, and Agentic AI.
Location: Bangalore
Experience: 6+ Years
Key Requirements
LLM & GenAI Engineering
- 6–8+ years of strong Python development experience
- 3+ years of hands-on AI/GenAI project experience
- Experience productizing AI solutions
- Hands-on experience with commercial LLMs
- Strong knowledge of prompting patterns and structured outputs
- End-to-end RAG architecture, ingestion pipelines and chunking strategies
- Experience with Vector Databases / Vector Search, indexing, similarity search and metadata filtering
- Hands-on experience with MCP (Model Context Protocol)
- Experience designing MCP servers/tool endpoints and integrating them with LLM applications
- Experience with Agentic AI / A2A / Multi-Agent workflows such as planner, executor, reviewer and retriever patterns
Programming & Engineering
- Advanced Python
- Experience building APIs, pipelines and AI orchestration
- Java / ReactJS is a plus
Development Productivity
- Hands-on experience using GitHub Copilot for code acceleration, scaffolding services, APIs and development
Data
- Strong SQL skills
- SQL Server experience
- Query writing, joins and indexing awareness
- Experience designing data access patterns for AI applications
- Microsoft Fabric is a plus
Cloud & Production
- Microsoft Azure AI Foundry experience preferred
- Experience supporting AI-enabled services in production
- Logging, metrics and distributed tracing
- APM/observability tools such as Datadog
- Model/prompt monitoring, drift signals and quality regression detection
Interested candidates can share their updated resume with relevant AI/GenAI project details.
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Key Skills
About Company
Skills:
Ibm Cloud, Linux System Administration, Tensorflow, Jenkins, Pytorch, Gcp, Docker, Terraform, Ansible, Openshift, Shell scripting, Azure, Kubernetes, Python, AWS, Golang, Generative AI, vLLM, GitHub Actions, Podman
Skills:
Azure Cloud Services, Python, LangChain, AI Agents, GenAI Prompt Engineering, LLMs, vector databases, Pinecone, Azure OpenAI, Semantic Kernel, FAISS, RAG, ChromaDB
Skills:
Neo4j, Python, embeddings, AgentCore, AWS Bedrock, knowledge graphs, re-ranking, chunking strategy, prompt-library version-management, Veeva Vault, prompt engineering, RAG engineering, LangGraph, vector stores, VQL, Vault REST API, grounding
Skills:
.Net Core, .NET Framework, Workato, Microservices, Rest Apis, Python, Anthropic Claude, AI orchestration frameworks, OpenAI GPT, Google Gemini, Claude, Llama Stack, Spring AI, LangGen, RAG architectures
Skills:
Model Context Protocol (MCP) integrations, Monitoring, Python asynchronous programming, and evaluation techniques for AI applications, Application integration patterns, Observability, FastAPI or similar backend development frameworks