Skip to main content
TekWissen logo

Python Developer - AI Engineering / GenAI

TekWissen
3 days ago
Temporary
Remote
$78.57 - $78.57 USD hourly
Generative AI
Overview:         
    
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is a health and wellness organization located in Pittsburgh and operates health insurance plans in Pennsylvania, Delaware, and West Virginia.      
     
Job Title: Python Developer – AI Engineering / GenAI
Location: Remote
Duration: 3 Months      
Job Type: Temporary Assignment    
Work Type: Remote
    
Job Description: 
 
Roles & Responsibilities:
  • Design, develop, and maintain Python-based backend services and APIs for AI-enabled applications, with strong emphasis on clean, modular, production-ready code.
  • Build and integrate Generative AI workflows using LLMs, RAG pipelines, prompt orchestration, and structured-output processing.
  • Develop FastAPI-based REST endpoints to support file processing, pipeline execution, asynchronous workflows, and integration with external enterprise applications.
  • Implement retrieval workflows using GCP services such as Vertex AI, Vertex AI Search, Cloud Storage, BigQuery, Pub/Sub, Secret Manager, and Cloud Run.
  • Develop data-processing logic for structured and unstructured inputs, including document parsing, metadata generation, validation, transformation, and downstream persistence.
  • Support integration testing, debugging, deployment, logging, monitoring, and troubleshooting of AI applications across development and QA environments.
  • Collaborate with solution architects, cloud infrastructure teams, product owners, and business stakeholders to translate requirements into working AI features and scalable backend components.
  • Contribute to prompt engineering, output validation, error handling, retry logic, and guardrails to improve reliability of AI pipeline responses.
  • Maintain technical documentation, API contracts, configuration files, deployment artifacts, and reusable engineering components.
Required Experience:
  • 4–7 years of software development experience, with strong hands-on experience in Python backend development.
  • At least 1–2 years of practical experience with Generative AI, LLM-based applications, or RAG solutions.
  • Experience building REST APIs using FastAPI, Flask, or similar Python frameworks, preferably FastAPI.
  • Hands-on experience working with Google Cloud Platform, especially Cloud Run, Cloud Storage, Vertex AI, BigQuery, Pub/Sub, IAM, and Secret Manager.
  • Experience integrating AI/ML services into enterprise applications using APIs, authentication, asynchronous processing, and cloud-native services.
  • Experience processing structured and unstructured data formats such as JSON, JSONL, Excel, CSV, PDF, Word documents, and text.
  • Experience with source control, CI/CD, containerization, and deployment workflows using Git, Docker, GitLab/GitHub, and cloud deployment pipelines.
  • Exposure to debugging distributed or cloud-hosted applications using logs, monitoring, request tracing, and error analysis.
  • Experience working in Agile delivery teams and collaborating with cross-functional stakeholders.
  •  
Must-Have Skill Set:
  • Python – strong programming fundamentals, object-oriented design, modular coding, exception handling, testing, and package management.
  • Generative AI / LLMs – prompt engineering, structured outputs, model invocation, response validation, token usage, and basic evaluation concepts.
  • RAG – document ingestion, chunking, embeddings, vector retrieval, metadata filtering, reranking, and grounding.
  • GCP – practical experience with Vertex AI, Vertex AI Search, Cloud Run, GCS, BigQuery, Pub/Sub, Secret Manager, IAM, and Cloud Logging.
  • FastAPI / REST APIs – endpoint development, request/response models, authentication, async processing, status handling, and API integration.
  • Data Processing – pandas, openpyxl, JSON/JSONL handling, document processing, validation, and transformation.
  • Cloud-Native Development – Docker, service accounts, environment variables, secrets, CI/CD, deployment, and runtime troubleshooting.
  • Git – branching, pull requests, merge conflict resolution, version control, and collaborative development.
  • Testing & Debugging – unit testing, API testing, integration testing, Postman/cURL, log analysis, and production issue troubleshooting.
Preferred / Good-to-Have Skills:
  • Experience with Agentic AI frameworks or multi-step AI orchestration.
  • Familiarity with Vertex AI Vector Search, Graph RAG, or knowledge graph concepts.
  • Experience with Pub/Sub-based asynchronous processing and event-driven architectures.
  • Understanding of OAuth, service-to-service authentication, IAM, signed URLs, and secure API integration.
  • Exposure to React or frontend integration is useful but not mandatory.
  • Familiarity with AI evaluation metrics such as groundedness, relevance, completeness, coherence, and confidence scoring.
  • Healthcare-domain exposure is beneficial, especially where the solution involves enterprise workflow, requirements, or document intelligence.

TekWissen® Group is an equal opportunity employer supporting workforce diversity.