Role: Python/AI Developer
Location: Iselin, NJ
Interview Mode: In-Person (Mandatory)
Work Mode: Onsite
Duration: Long Term
Note: Only W2
Backend Engineering:
Architect, develop, and maintain scalable Python services and microservices.
Build REST and/or GraphQL APIs that interface with internal and external systems.
Design reusable modules, libraries, and frameworks used across engineering teams.
Ensure high performance, reliability, and fault-tolerance in production systems.
AI-Enabled Platform Development
(Optional if relevant to your org — included because your architecture uses agents, RAG, LangGraph)
Integrate backend services with LLM tools, inference endpoints, or retrieval systems.
Build Python modules for:
Vector database queries
Hybrid retrieval logic
Document processing pipelines
Model orchestration
Optimize pipelines for latency, throughput, and cost efficiency.
Agentic Systems & Automation (LangGraph / MCP optional)
Build Python-based agent workflows using LangGraph for state-driven orchestration.
Develop MCP tools to securely expose enterprise functionality to LLM agents.
Design safe, observable, and governable tool-calling interfaces.
Work with data scientists to productionize agent capabilities in real workflows.
Data Engineering & Integration
Design robust integrations with SQL/NoSQL databases, event streams, message queues.
Build data ingestion and transformation services (ETL/ELT).
Implement caching, rate-limiting, and retry logic for API-intensive workloads.
Manage secrets, credentials, and secure transport of sensitive data.
DevOps & Quality
Write comprehensive unit, integration, and load tests.
Participate in code reviews to uphold engineering excellence.
Improve observability through metrics, logging, and distributed tracing.
Automate CI/CD pipelines using tools like GitHub Actions, Jenkins, GitLab CI, or Argo.
Required Skills & Experience
6+ years of hands-on Python development experience.
Expertise with:
FastAPI, Flask, or Django
AsyncIO, concurrency models, multiprocessing
SQLAlchemy or ORM frameworks
Strong understanding of software architecture and system design.
Experience designing and consuming REST APIs, WebSockets, or event-driven systems.
Proficiency with SQL databases and at least one NoSQL or vector/graph store.
Experience working with distributed systems, microservices, or containerized environments (Docker/Kubernetes).
Preferred Qualifications
(Not required but highly valuable)
AI & Agent Systems
Experience integrating Python services with LLM APIs (OpenAI, Anthropic, local models).
Familiarity with RAG, embeddings, retrieval pipelines.
Experience with agent orchestration frameworks like LangGraph, CrewAI, or MCP tooling.
Data & Infrastructure
Experience with:
Kafka / PubSub / RabbitMQ
Redis / Memcached
Airflow or Prefect