Ai Ml Engineer_ Building Agentic AI

Role & responsibilities

Required Skills & Qualifications

Mandatory Core AI, LLM & Agentic Skills

• Strong understanding of:

Embeddings

Vector similarity search

Cosine similarity, dot product, ANN indexing

RAG architectures

• Hands-on experience with:

LangChain / LlamaIndex / Semantic Kernel / Spring AI

• Experience building multi-agent systems and agent orchestration pipelines
• Experience building MCP servers for tool and context exposure
• Experience with LangGraph / Strands or similar agent workflow orchestration tools
• Experience implementing A2A (Agent-to-Agent) communication patterns
• Proficient in prompt engineering, memory management, and LLM orchestration
• Experience with at least one Vector Database

Programming & Backend

• Strong proficiency in Python / Java / JavaScript / TypeScript
• API development using FastAPI, Flask, Spring Boot, or Node.js
• Strong understanding of REST APIs, async processing, event-driven architectures
• Experience building microservices for AI agents.

Data & Storage

• Experience with:

PostgreSQL, MySQL, MongoDB

Object storage (S3, OCI, Azure Blob)

• Data preprocessing, chunking strategies, tokenization optimization
• Knowledge of metadata filtering and hybrid search

Cloud & DevOps (Good to Have)

• Docker & Kubernetes
• CI/CD pipelines (Jenkins, GitHub Actions, GitLab, Bitbucket)
• Monitoring with Prometheus, Grafana, OpenTelemetry

Preferred candidate profile