Backend Engineer

Job Summary

Backend Engineer

Location: Hyderabad, India

Work type: On-site / Work from Office

We re building a conversational voice assistant. Join early to shape core services, data models, and our AI/LLM platform.

The road ahead: We re scaling to thousands of concurrent calls, maturing an AWS-native platform (secure, observable, cost-aware). You ll help evolve our LLM/RAG stack, deploy reliable pipelines, and set engineering standards.

Responsibilities

• Design and own Python/FastAPI microservices (async I/O, WebSockets) for real-time voice/data workflows.
• Model and operate MongoDB/Atlas: schema design, indexing, aggregation pipelines, query tuning, TTL/archival, change streams.
• Integrate third-party APIs/services (auth, webhooks, retries, idempotency, observability) and productionize them.
• Contribute to LLM features: tool/function calling, structured outputs (Pydantic/JSON Schema), RAG , evaluations, safety/guardrails.
• Create and maintain deployment pipelines; add metrics, logs, and traces; drive incident response and postmortems.
• Collaborate with frontend/AI/QA; write docs/runbooks; communicate clearly and work as a supportive team member.

Must-Haves

• 3+ years backend experience with Python (strong) and FastAPI (or similar async frameworks).
• MongoDB proficiency: schema design, indexes, aggregation, profiling, performance tuning; operational know-how on Atlas.
• CI/CD (GitHub Actions/GitLab CI or similar) and Docker.
• Strong debugging across distributed systems; excellent communication and teamwork.
• Proven third-party integration experience (auth, rate limits, pagination, webhooks).

LLM / AI Experience (Preferred/Plus)

• Server-side integration with providers (e.g., OpenAI/Azure OpenAI/Bedrock) and streaming responses.
• RAG pipelines (chunking, embeddings, vector stores), prompt versioning, structured outputs.
• Evaluation safety basics (offline eval sets, regression tests, guardrails/PHI redaction, latency cost tracking).

Nice-to-Haves

• Node.js/TypeScript for tools/edge services.
• PostgreSQL/Redis; event/messaging (Kafka/Kinesis/RabbitMQ).
• Real-time comms (SIP/WebRTC), audio streaming, STT/TTS.
• Security/compliance awareness (SOC 2, HIPAA), secrets management.
• Hands-on AWS: IAM VPC basics, S3, SQS/SNS, API Gateway/ALB, CloudWatch; deploy via ECR + ECS/EKS or Lambda.

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