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