Python Developer - Remote Work
About the Role:
TekWissen is seeking a Python Developer – AI Engineering / GenAI for a temporary remote assignment with its client, a health and wellness organization headquartered in Pittsburgh that operates health insurance plans across Pennsylvania, Delaware, and West Virginia. In this role, you will develop Python-based backend services and APIs for AI-enabled applications, with a focus on Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) solutions. You will build and integrate AI workflows, develop FastAPI endpoints, implement retrieval processes using Google Cloud Platform (GCP) services, and support data processing across structured and unstructured formats. You will also collaborate with solution architects, cloud infrastructure teams, product owners, and business stakeholders to deliver reliable AI features and scalable backend components.
Key Responsibilities:
Design, develop, and maintain Python-based backend services and APIs for AI-enabled applications using clean, modular, and production-ready code.
Build and integrate Generative AI workflows using LLMs, RAG pipelines, prompt orchestration, and structured-output processing.
Develop FastAPI-based REST endpoints for file processing, pipeline execution, asynchronous workflows, and integration with external enterprise applications.
Implement retrieval workflows using GCP services, including 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 functional AI features and scalable backend components.
Contribute to prompt engineering, output validation, error handling, retry logic, and guardrails to improve AI pipeline reliability.
Maintain technical documentation, API contracts, configuration files, deployment artifacts, and reusable engineering components.
Required Qualifications4–7 years of software development experience, with strong hands-on expertise 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 with Google Cloud Platform, particularly 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, including 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 Technical SkillsPython: 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, Google Cloud Storage (GCS), BigQuery, Pub/Sub, Secret Manager, IAM, and Cloud Logging.
FastAPI / REST APIs: Endpoint development, request and response models, authentication, asynchronous 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 Qualifications:
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.
Familiarity with AI evaluation metrics such as groundedness, relevance, completeness, coherence, and confidence scoring.
Healthcare-domain experience, particularly involving enterprise workflows, requirements, or document intelligence.
Employment Details
Job Title: Python Developer – AI Engineering / GenAI.
Location: Remote.
Duration: 3 months.
Employment Type: Temporary Assignment.
Work Arrangement: Fully Remote.
About the Client:
The client is a health and wellness organization based in Pittsburgh that operates health insurance plans in Pennsylvania, Delaware, and West Virginia.
Equal Opportunity Employer:
TekWissen® Group is an equal opportunity employer committed to supporting workforce diversity.