Senior AI Engineer

The Sr. AI Engineer will design, architect, and implement

advanced AI systems

leveraging

multi-agent frameworks ,

RAG pipelines , and

LLM orchestration layers . You’ll be responsible for building intelligent, scalable workflows that enable reasoning, contextual understanding, and autonomous task coordination across various enterprise use cases.

Key Responsibilities

Architect and deploy

multi-agent AI systems

using frameworks like

LangGraph ,

CrewAI , or custom orchestrators.

Design and optimize

Retrieval-Augmented Generation (RAG)

pipelines for contextual reasoning and dynamic knowledge synthesis.

Integrate

vector databases

and

semantic search layers

(e.g.,

Pinecone ,

Weaviate ,

FAISS ) for efficient knowledge retrieval.

Develop

modular LLM pipelines

combining tools, memory, and dynamic context switching.

Implement

Python-based AI microservices

with robust APIs for reasoning, planning, and data processing.

Conduct

prompt engineering ,

evaluation , and

adaptive tuning

to improve model accuracy and reliability.

Build

autonomous data ingestion

and

learning loops

to continuously improve AI system performance.

Collaborate with cross-functional teams to align AI pipelines with product goals and business logic.

Research and prototype new frameworks in

agentic AI ,

self-correcting systems , and

multi-modal reasoning .

Required Skills

Minimum 5+ years of experience

Strong expertise in

LLMs ,

NLP ,

RAG architectures , and

multi-agent orchestration .

Proficiency in

Python ,

LangChain ,

LangGraph , and

OpenAI / Hugging Face APIs .

Experience deploying AI pipelines in

production environments

(microservices or distributed systems).

Hands-on with

vector DBs ,

semantic embeddings , and

knowledge graphs .

Solid grasp of

LLM evaluation ,

memory management , and

context-aware reasoning .

Experience integrating

AI tools with backend systems

(e.g., GitHub, Azure DevOps, RESTful APIs and FASTAPIs).

Strong understanding of

system design ,

data pipelines , and

cloud-based AI architectures .

Nice to Have

Familiarity with

LangGraph ,

CrewAI ,

LlamaIndex , or

Semantic Kernel .

Experience building

autonomous agents

or

self-improving task networks .

Exposure to

Azure OpenAI ,

Vertex AI , or

Anthropic Claude API .

Background in

AI evaluation ,

reinforcement learning from human feedback (RLHF) , or

tool-augmented reasoning .

Ability to mentor teams in

prompt engineering ,

AI safety , and

agentic framework design .

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