Backend Engineer

Job Description

About The Client - We are a world-changing team of AI researchers and engineers working on the cutting edge of generative AI. We are building systems that work across telephony, chat, video, email & text to assist & accelerate the human workforce with artificial agents. Our focus is on helping customers improve their outcomes in the areas of Business Process (Customer service, IT support, Accounting, Human resources, Legal services, Marketing, IP Legal, etc. 5 days working - Hyderabad Rounds: 1 Virtual, 1 Physical Location: Hitech City, Hyderabad Backend Engineer About Us: 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. What You?ll Do 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, idem potency, 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/run-books; communicate clearly and work as a supportive team member. Must-Haves 5+ 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, embedding, 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. Why Join Real impact, real users: Ship services that power sensitive workflows and live phone calls, your work goes into production and gets used every day. Ownership from day 1: Design ? build ? deploy ? monitor your services. No heavy bureaucracy; you?ll make architectural decisions that stick. Deep technical growth: Work across Python/FastAPI, AWS (ECS/EKS/Lambda, S3, SQS/SNS, CloudWatch), MongoDB/Atlas and LLM/RAG pipelines, tool calling, and structured outputs. Hard, meaningful problems: Low-latency real-time pipelines (WebSockets/audio), reliability at scale, cost/latency tuning, and robust observability. Fast feedback loop: Automated CI/CD, frequent releases, data-driven decisions, clear success metrics (latency, reliability, cost). Strong engineering culture: Thoughtful code reviews, postmortems, run-books, and documentation, supportive teammates who communicate clearly. Mission + rigor: Build SOC2/HIPAA-aligned systems that genuinely help users while meeting high security and privacy bars. Career acceleration: Grow into a domain owner/tech lead within 6?12 months by consistently delivering and raising the quality bar. Remote-friendly & collaborative: Pragmatic processes, respectful schedules, and a focus on outcomes over hours.