Senior Software Engineer – AI
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Job Description
Senior Software Engineer developing async REST/WebSocket APIs with Python for Newfold Digital's AI platform. Designing multi-agent workflows and maintaining CI/CD practices for high-quality AI development.
Responsibilities:
- Design & scale async REST/WebSocket APIs with Python 3.11+ + FastAPI
- Implement multi-agent workflows with Semantic Kernel
- Integrate LLM providers behind a provider-agnostic layer for A/B and cost-aware routing
- Deliver Retrieval-Augmented Generation with vector stores
- Expose tool-using agents via OpenAI Assistants for data-analysis / file-manipulation tasks
- Evolve schemas with SQLModel / SQLAlchemy 2 & Alembic; tune Postgres for high concurrency async access
- Maintain robust CI/CD that lint, type-check, test, package, and deploy
- Instrument services with structlog JSON logs, OpenTelemetry traces, and cost/latency metrics
- Champion AI-assisted development and share pragmatic problem-solving practices with the team
Requirements:
- 5 + yrs building production APIs in Python
- 2 + yrs with FastAPI (or similar async stack)
- Deep knowledge of async I/O, Pydantic v2, DI, and observability
- Hands-on with Semantic Kernel or comparable agent frameworks
- Practical RAG implementations using Azure AI Search, pgvector, or Chroma
- Strong Postgres skills, including SQLModel/SQLAlchemy 2 and Alembic migrations
- Proven integrations or Side Projects with LLM APIs (OpenAI, Gemini) and structured-output design
- Dependency management via Poetry and virtual-env isolation
- End-to-end CI/CD ownership (build → scan → test → deploy)
- Excellent analytical and problem-solving ability
- Remote work readiness with daily overlap of at least 09:00 – 13:00 EST
- Nice to have: Event/message queues (RabbitMQ, Azure Service Bus, Kafka)
- Nice to have: Observability stacks (Grafana, LangFuse) for LLM cost governance
Benefits:
- Flexible work arrangements
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