AI Engineer

Client Domain: Commercial Real Estate / Property Advisory

Position: Sr. AI Engineer

Experience: 8–12 Years

Open Positions: 5

Location: Hyderabad

Work Mode: Hybrid (4 Days Work From Office)

Employment Options

Option 1 – Full-Time (FTE)

• Client Payroll
• Salary: ₹24–30 LPA

Option 2 – Contract

• The candidate will remain on your payroll
• Contract duration and commercials will be discussed during submission

Mandatory Technical Skills

Candidates must have hands-on production experience in most of the following:

LLM & Agent Development

• Multi-Agent Systems
• Tool Calling
• Structured Outputs
• Context Management
• Claude / OpenAI / Azure OpenAI

Agentic AI

• LangGraph
• LangChain
• Multi-Agent Orchestration
• Workflow Automation
• Task Decomposition
• Routing & Fallback Handling

Python

• 5+ Years
• FastAPI
• Async Python
• Pydantic
• REST APIs
• Production AI Services

RAG & Document Intelligence

• Retrieval-Augmented Generation (RAG)
• Document Intelligence
• Summarization
• Document Processing
• Content Generation

Cloud

• AWS
• S3
• Lambda
• Bedrock
• SageMaker
• Glue
• Step Functions

OR

Strong Snowflake experience

SQL & Semantic Layer

• Complex SQL
• CTEs
• Star Schema
• Semantic Modelling
• NL-to-SQL

AI Evaluation

• Guardrails
• Hallucination Detection
• Output Validation
• Human-in-the-loop Review

Enterprise Integrations

Experience integrating AI solutions with:

• CRM
• SharePoint
• Microsoft Teams
• Email
• Enterprise Document Management Systems

Preferred Skills

• Commercial Real Estate Domain
• Professional Services Domain
• AWS Bedrock
• SageMaker
• MCP (Model Context Protocol)
• Snowflake Cortex
• Pinecone
• Weaviate
• FAISS
• LangSmith
• Arize
• Phoenix
• Docker
• Kubernetes
• GitHub Actions
• AWS CDK
• CloudFormation

Technology Stack

• Claude API
• OpenAI API
• LangGraph
• LangChain
• Python
• FastAPI
• Pydantic
• AWS
• Snowflake
• Bedrock
• SageMaker
• Lambda
• Glue
• SQL
• Pinecone
• Weaviate
• FAISS
• Docker
• Kubernetes
• GitHub Actions

Ideal Candidate Snapshot

• 8–12 years of experience
• Strong Python + FastAPI (5+ years)
• Production experience with LLMs, RAG, and Agentic AI
• Hands-on LangGraph/LangChain
• AWS (Bedrock, Lambda, S3) and/or Snowflake
• Hybrid (4 days/week) in Hyderabad
• Excellent client-facing communication
• Immediate to 30-day notice preferred

Candidate Screening Checklist (Mandatory)

Before sharing profiles, kindly ensure the candidate meets the following:

ü 8–12 years of relevant experience

ü Strong Python development experience (5+ years)

ü Production experience with LLMs

ü Hands-on Agentic AI development

ü LangGraph / LangChain

ü RAG implementation

ü AWS Cloud

ü Snowflake (preferred)

ü FastAPI & Pydantic

ü SQL & Semantic Modelling

ü AI Guardrails & Evaluation

ü Enterprise Integrations

ü Production deployment experience

ü Strong communication skills

Communication Skills (Mandatory)

Candidates must possess excellent verbal and written English communication skills.

They should be comfortable:

• Client discussions
• Technical workshops
• Architecture conversations
• Requirement gathering
• Stakeholder presentations

Candidates with significant mother-tongue influence affecting client interactions will not be considered.

Please conduct an initial communication screening before submission.

Candidate Submission Format

Please submit the completed tracker in the format below:

Position Full Name Contact Number Email ID Total Experience Relevant Experience Current Company Current CTC Expected CTC Notice Period Current Location Preferred Location Certifications LinkedIn

Mandatory Submission Requirements

Please ensure every submission includes:

ü Updated Resume (Word Format Only)

ü Completed Candidate Tracker

ü Current CTC & Expected CTC

ü Notice Period

ü Education

ü Certifications

ü LinkedIn Profile

ü 2–3 lines of Candidate Justification explaining why the candidate is a strong fit for this requirement

Ø Profiles without the completed tracker, Word-format resume, or candidate justification will not be forwarded to the client.

Pay: ₹2,400,000.00 - ₹3,000,000.00 per year

Benefits:

• Flexible schedule

Work Location: In person