Careers

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AI platforms, cloud migrations and modern Java systems at US companies in finance, healthcare and tech. Contract, contract-to-hire and full-time roles, with W2 and C2C options.

Why engineers work with us

A recruiter on your side

Roles that move your career: most of our openings are in AI, cloud and modern back-end work.

A recruiter who knows the stack: our recruiters are trained by our own engineers, so your first call is a real conversation.

Pay you can see: every posting lists a pay range.

Support after you start: benefits on W2, on-time payroll, and a check-in every month.

Open roles

Roles open right now

6 open roles

Senior AI / LLM Engineer Location: New York, NY (hybrid) Type: Contract-to-hire Pay: $85–$105/hr Posted: Oct 20, 2026

New York, NY (hybrid, 3 days on site) · Contract-to-hire, 6 months · $85–$105/hr W2

Our client, a national wealth-management firm, is building an AI assistant for its advisors. You'll design and ship the retrieval and agent layer that answers questions from client documents and internal research.

What you'll do

  • Build RAG pipelines over 2M+ documents, from chunking and embeddings to retrieval and re-ranking
  • Develop agents that call internal APIs safely, with clear guardrails and audit logs
  • Set up evaluation suites that measure accuracy, latency and cost on every release
  • Work with compliance to make sure outputs meet regulatory standards
  • Mentor two mid-level engineers on the team

What you'll bring

  • 6+ years in software engineering, with 2+ years building LLM applications in production
  • Strong Python, including FastAPI or a similar framework
  • Hands-on experience with vector databases and at least one major LLM platform
  • Experience with AWS or Azure

Nice to have: LangGraph or LlamaIndex · financial services background · prompt-injection and data-leakage testing

Apply Now
MLOps Engineer Location: Remote (US) Type: Contract Pay: $75–$92/hr Posted: Oct 16, 2026

Remote (US) · Contract, 9 months · $75–$92/hr W2 or C2C

A health-tech company needs an engineer to take its machine learning models from notebooks to a reliable production platform.

What you'll do

  • Build training and deployment pipelines with MLflow and Kubernetes
  • Set up model monitoring for drift, accuracy and cost
  • Automate retraining and approval workflows
  • Partner with data scientists to package models for release

What you'll bring

  • 4+ years in ML engineering, DevOps or data engineering
  • Python, Docker and Kubernetes in production
  • Experience with MLflow, SageMaker or Vertex AI
  • Comfort with Terraform and CI/CD

Nice to have: HIPAA environments · LLM serving (vLLM, Triton)

Apply Now
Senior Java / Spring Boot Engineer Location: Jersey City, NJ (hybrid) Type: Full-time Pay: $155K–$185K Posted: Oct 14, 2026

Jersey City, NJ (hybrid, 2 days on site) · Full-time · $155K–$185K + bonus + benefits

A top-20 US bank is moving its payments platform from a Java 8 monolith to cloud-native microservices. You'll be one of the engineers leading that move.

What you'll do

  • Design and build Spring Boot microservices on Java 21
  • Break down legacy modules into well-tested services
  • Build event-driven flows with Kafka
  • Improve performance for services handling 5,000+ transactions per second
  • Review code and set engineering standards for the squad

What you'll bring

  • 7+ years of Java, including 3+ years with Spring Boot
  • Experience with microservices, REST and messaging (Kafka or similar)
  • Strong SQL and JPA/Hibernate
  • Experience deploying to Kubernetes on AWS or Azure

Nice to have: payments or banking domain · Spring AI · performance tuning on the JVM

Apply Now
Python Back-end Engineer (FastAPI) Location: Remote (US) Type: Contract Pay: $65–$80/hr Posted: Oct 9, 2026

Remote (US) · Contract, 6 months with likely extension · $65–$80/hr W2 or C2C

A fast-growing logistics SaaS company is adding AI-powered routing to its platform and needs back-end engineers to build the services behind it.

What you'll do

  • Build and maintain REST APIs in FastAPI
  • Integrate LLM and optimization services into the core product
  • Write tests and keep coverage above 85%
  • Improve query performance on PostgreSQL

What you'll bring

  • 4+ years of Python back-end development
  • FastAPI or Django REST Framework in production
  • PostgreSQL, Redis and async Python
  • Docker and a cloud platform (AWS preferred)

Nice to have: experience calling LLM APIs · event-driven systems

Apply Now
Cloud / DevOps Engineer (AWS) Location: Dallas, TX (hybrid) Type: Contract-to-hire Pay: $70–$88/hr Posted: Oct 6, 2026

Dallas, TX (hybrid, 2 days on site) · Contract-to-hire, 6 months · $70–$88/hr W2

A national insurer is moving 120 applications to AWS and needs an engineer to automate the landing zone and delivery pipelines.

What you'll do

  • Build infrastructure as code with Terraform
  • Run and harden EKS clusters
  • Build CI/CD pipelines with GitHub Actions and Argo CD
  • Set up monitoring, alerting and cost dashboards

What you'll bring

  • 5+ years in DevOps, cloud or SRE roles
  • Deep AWS experience (EC2, VPC, IAM, EKS, RDS)
  • Terraform and Kubernetes in production
  • Scripting in Python, Bash or Go

Nice to have: AWS Professional certification · insurance or financial services background

Apply Now
Data Engineer (Databricks) Location: Charlotte, NC (hybrid) Type: Full-time Pay: $135K–$160K Posted: Sep 30, 2026

Charlotte, NC (hybrid, 3 days on site) · Full-time · $135K–$160K + benefits

A regional bank is building a lakehouse to power fraud detection and customer analytics.

What you'll do

  • Build batch and streaming pipelines in Databricks and Spark
  • Model data with dbt for analysts and data scientists
  • Set up data quality checks and lineage
  • Work with ML engineers on feature pipelines

What you'll bring

  • 4+ years of data engineering
  • Spark (PySpark), SQL and Python
  • Databricks or Snowflake in production
  • Orchestration with Airflow or similar

Nice to have: Kafka streaming · banking data experience

Apply Now

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Pythonwise is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.