Lead Software Engineer – Generative AI

• Job ID:

J53950

• Job Title:

Lead Software Engineer – Generative AI

• Location:

Minneapolis, MN

• Duration:

9 Months + Extension

• Domain Exposure:

Aerospace/ Airlines

• Client:

To Be Discussed Later

• Employment Type:

W-2, 1099, C2C

• Work Authorization:

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Lead Software Engineer – Generative AI

Location: Minneapolis, MN

Duration: 9 Months

Bill Rate: $75/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

We are looking for an experienced Lead Software Engineer with strong expertise in Generative AI, Machine Learning, Google Cloud Platform (GCP), and Document AI. The ideal candidate should have hands-on experience building enterprise-level GenAI applications, implementing RAG architectures, fine-tuning LLMs, and developing Agentic AI solutions.

Key Responsibilities

• Design and implement enterprise-grade Generative AI and Agentic AI solutions.
• Develop and deploy LLM-based applications using Vertex AI and other LLM platforms.
• Build and optimize RAG pipelines using embeddings and vector databases.
• Implement LLM fine-tuning and prompt engineering techniques.
• Develop document processing solutions using Google Document AI, OCR, information extraction, and structured output generation.
• Build AI agents using frameworks such as LangGraph, Google ADK, and CrewAI.
• Work with OpenAI APIs, open-source LLMs, and commercial LLM platforms.
• Apply machine learning techniques, including supervised and unsupervised learning, reinforcement learning, deep learning, and NLP.
• Develop backend services and APIs using Python, FastAPI, Flask, and REST APIs.
• Deploy and manage AI applications using Docker and cloud platforms such as GCP, AWS, and Azure.

Required Skills

• Strong programming experience in Python.
• Hands-on experience with Generative AI, LLMs, and RAG.
• Experience with Google Vertex AI and Document AI.
• Experience with LLM fine-tuning and deployment.
• Hands-on experience with Agentic AI frameworks such as LangGraph, Google ADK, or CrewAI.
• Knowledge of vector databases, embeddings, and RAG architecture.
• Experience with OCR, document extraction, and structured data generation.
• Knowledge of PyTorch, NLP, SQL, and machine learning.
• Experience with OpenAI APIs and open-source LLMs.
• Familiarity with Streamlit, Flask, FastAPI, REST APIs, and Docker.
• Cloud development experience with GCP, AWS, or Azure.

Equal Opportunity

Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs.

We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.