Backend Engineer – Python/FastAPI

Job Title: Backend Engineer – Python/FastAPI

Experience: 5+ Years

About the Role

We are seeking an experienced Backend Engineer with strong expertise in Python and FastAPI to build and optimize scalable microservices powering real-time data and voice workflows. You will work closely with cross-functional teams, including AI, frontend, and QA, to deliver robust, efficient, and secure backend solutions.

Key Responsibilities

• Design and develop Python/FastAPI-based microservices leveraging async I/O and WebSockets for real-time workflows.
  
• Model, optimize, and operate MongoDB/Atlas — including schema design, indexing, aggregation pipelines, and query performance tuning.
  
• Integrate and productionize third-party APIs (authentication, webhooks, retries, idempotency, observability).
  
• Contribute to LLM-driven features, such as tool/function calling, structured outputs (Pydantic/JSON Schema), RAG, and safety/guardrails.
  
• Build and maintain CI/CD pipelines, implement logging, metrics, and tracing for monitoring and reliability.
  
• Collaborate effectively with frontend, AI, and QA teams; maintain documentation, runbooks, and incident postmortems.
  

Must-Have Skills

• 5+ years of backend development experience with Python and FastAPI (or equivalent async frameworks).
  
• Strong hands-on experience with MongoDB, including schema design, indexing, aggregation, and Atlas operations.
  
• Proficiency with CI/CD tools (GitHub Actions/GitLab CI or similar) and Docker for containerized deployments.
  
• Strong debugging skills across distributed systems and excellent communication/collaboration abilities.
  
• Proven experience integrating third-party APIs/services (auth, rate limiting, pagination, webhooks).
  

Preferred / LLM & AI Experience

• Experience integrating LLM providers (OpenAI, Azure OpenAI, Bedrock) with streaming responses.
  
• Understanding of RAG pipelines, embeddings, vector databases, and structured output generation.
  
• Familiarity with evaluation and safety principles, including regression testing, guardrails, and cost/latency optimization.
  

Nice-to-Have Skills

• Exposure to Node.js/TypeScript for tools or edge services.
  
• Knowledge of PostgreSQL, Redis, or messaging systems like Kafka, Kinesis, RabbitMQ.
  
• Experience with real-time communication systems (SIP/WebRTC), audio streaming, or STT/TTS.
  
• Awareness of security and compliance frameworks (SOC 2, HIPAA) and secrets management.
  
• Practical hands-on experience with AWS services — IAM, VPC, S3, SQS/SNS, API Gateway/ALB, CloudWatch — and deployments via ECR + ECS/EKS or Lambda.