Contract – Long Term (Annual Renewal)
Work Mode: Remote
Experience : 7+ Years (5+ Years in Python Backend)
Shift: Overlap required till 2 PM U.S. Eastern Time
Key Skills:
● Expert-level Python (3.10+) with strong knowledge of async/await, decorators, and advanced programming constructs
● Strong experience with FastAPI for building scalable, high-performance backend systems
● Hands-on experience with RESTful APIs, OpenAPI/Swagger, versioning, and microservices architecture
● Experience designing multi-tenant SaaS platforms with RBAC and data isolation
● Strong experience with SQLAlchemy, Alembic, PostgreSQL, Firestore, and BigQuery
● Hands-on experience with LLMs (Claude, Gemini, GPT) and GenAI integrations
● Experience building multi-agent AI systems using LangChain, ADK, or similar frameworks
● Strong expertise in prompt engineering, RAG workflows, and AI safety mechanisms
● Experience with GCP (Vertex AI, BigQuery, Cloud Run, Firestore, Secret Manager) and Azure (OpenAI, Functions, Key Vault)
● Strong experience with data pipelines, ETL/ELT workflows, and API integrations
● Knowledge of OAuth 2.0, OIDC, SSO, and enterprise security patterns
● Experience with Docker, containerization, and cloud-native deployments
● Strong experience in performance tuning, scalability, and distributed systems
Nice to Have:
● Experience with Terraform or Infrastructure as Code
● Exposure to React / TypeScript for full-stack understanding
● Experience with Airflow or workflow orchestration tools
● Knowledge of vector databases and RAG architectures
● Experience with streaming systems (Kafka, Pub/Sub, RabbitMQ)
● Domain exposure to AdTech, MarTech, or enterprise analytics platforms
Responsibilities:
● Design, build, and maintain scalable backend systems using FastAPI and Python
● Develop multi-agent AI workflows and integrate LLM-based solutions
● Architect cloud-native applications on GCP and Azure
● Build secure, high-performance APIs and data pipelines
● Implement AI safety, governance, and compliance frameworks
● Manage deployments, monitoring, and system reliability
● Collaborate with cross-functional teams including frontend, DevOps, and data teams
● Drive architecture decisions, mentor engineers, and ensure delivery quality