Python Engineer with AI/ML experience

Hello Everyone,

Hope you are doing good!!!!

My name is Pavan and I work with SPAR Information System., I have a great opportunity for you, please find the job details below, if you are interested in applying please send me your updated resume and best time for you to discuss about this opportunity in details.

Job title: Python Engineer with AI/ML experience

Location: Bellevue, WA (Onsite Hybrid)

Duration: Long term contract

Core Language & Architecture

Python 3.11+

Advanced type hints (PEP 484), static typing discipline

Async programming (asyncio, async/await, async generators)

aiohttp / httpx (async HTTP clients)

Pydantic v2 (BaseModel, validation, settings management)

Structured logging & tracing patterns

Redis (pub/sub, TTL, async clients)

REST API design & integration patterns

Retry/backoff strategies (Tenacity)

Concurrency patterns (parallel tool calls, task orchestration

Data Engineering & ETL

Prefect 2.x / 3.x

Flows, tasks, futures

Deployments (YAML)

Work pools

Blocks (Secrets, storage)

Scheduling

ETL/ELT design

Incremental loads

Idempotency

Schema evolution

Snowflake

connector-python

OAuth authentication

Warehouse/schema management

Query optimization

PostgreSQL 16/17

psycopg 3.x

Async support

Connection pooling

SQLAlchemy 2.x (ORM + asyncio)

Alembic migrations

Advanced SQL

Multi-table JOINs

CTEs

Window functions

Timezone conversion

Pandas 2.x (complex multi-stage transformations)

PyArrow / columnar formats

Azure Blob Storage (azure-storage-blob)

Document ingestion/parsing:

Docling

Unstructured

python-docx

python-pptx

Graph Algorithms & Pattern Processing

NetworkX

Connected components

Transitive closure

Graph construction

Alarm correlation logic

Regex engineering

IPv4 / IPv6

Network interface extraction

CI/entity extraction

Entity classification patterns

Backend Engineering (FastAPI Stack)

FastAPI

Routing

Dependency injection

Middleware

Streaming responses (SSE)

Async-first backend design

Incremental/streaming LLM responses

Background tasks & concurrency control

Pydantic request/response models

Frontend (React Agent UI)

React 18/19

Hooks

Context API

Performance optimization

TypeScript

MSAL browser authentication

JWT handling

Streaming fetch / incremental rendering

Real-time agent UI updates

Testing & Code Quality

pytest

Fixtures

Parametrize

Markers

unittest.mock (patch, MagicMock)

Ruff

pre-commit hooks

SAST integration

Thanks & Regards,

Pavan Raikhelkar

LEAD TALENT ACQUISITION SPECIALIST

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