What are the responsibilities and job description for the Sr. Python/AI Software Engineer (GenAI/LLM) – Phoenix, AZ (Hybrid) – W2 Only position at Congensys Corp.?
Job Title: Sr. Python/AI Software Engineer (GenAI/LLM) – Phoenix, AZ (Hybrid) – W2 Only
Location: Phoenix, AZ (Hybrid – 3 Days Onsite)
Duration: Long-Term Contract
Employment Type: W2 Only (No C2C / No Third Party)
Interview: In-Person Interview in Phoenix, AZ – Mandatory so looking for local to AZ candidates. If you are not local please don’t apply for this role
Job Description
We are seeking an experienced Sr. Python/AI Software Engineer to design and build enterprise-grade AI solutions supporting Information Security, Governance, and Technology Risk initiatives. The ideal candidate will have strong expertise in Python, Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.
Required Qualifications
- 8 years of software engineering experience
- Strong hands-on experience with Python
- Experience building AI/ML and Generative AI applications
- Expertise with Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- NLP, Embeddings, Classification, Clustering, Anomaly Detection
- Agentic AI frameworks (LangChain, AutoGen, CrewAI, or similar)
- PyTorch, TensorFlow, scikit-learn
- FastAPI and/or Flask
- REST API development
- Docker & Kubernetes
- AWS, Azure, or Google Cloud Platform
- MLflow, Kubeflow, Argo Workflows
- Kafka, Spark, NiFi
- SQL/NoSQL databases
- Vector Databases (pgVector, Milvus)
- GitLab CI, Jenkins
- Strong understanding of MLOps and AI model lifecycle
Preferred Experience
- Information Security
- Governance & Risk
- Responsible AI
- Production AI deployments
- Cloud-native AI applications
Work Arrangement
- Hybrid (3 days onsite in Phoenix, AZ)
- Long-term contract
- In-person interview required in Phoenix, AZ
Important Notes
- W2 Candidates Only
- No C2C
- No Third-Party Vendors
- Local candidates or those able to attend an in-person interview in Phoenix, AZ are strongly preferred.
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