Senior AI / Python Developer

Job Title: Senior AI / Python Developer

Location: Weehawken, NJ (Onsite 5 days )
Client: Banking

C2H after 6 months Employment Type: Long-Term Contract
Experience Required: 12+ Years

Ex - Employees from BOA, UBS, Wells Fargo, or Any Banking client for 3+ years.

10+ years of experience and should be local to New Jersey.

We are seeking a highly skilled Senior Python Developer to design and build high-performance backend systems, intelligent services, and AI-powered platform features. You will work closely with data scientists, platform engineers, and product teams to develop services that power analytics, workflow automation, and agentic AI applications.

This role is ideal for developers who excel in Python craftsmanship, distributed systems, API design, and modern AI integration patterns.

Key Responsibilities

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

10+ 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

Snowflake, Databricks, or Spark

Strong background in performance tuning and profiling.

Soft Skills

Ownership mindset with attention to quality and scalability.

Effective communicator able to collaborate across cross-functional teams.

Strong debugging, problem-solving, and analytical thinking.