Senior Software Development Engineer - AI Native Platform
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Job Description
About Autonomize AI
The Opportunity
You're a Fit If You Have
- You've built production systems where LLMs are doing real work - not demos, not PoCs
- You've designed and shipped RAG pipelines, multi-agent workflows, or tool-using agents in production
- You understand prompt engineering as an engineering discipline: versioning, evaluation, regression testing
- You've instrumented AI systems for observability - latency, token usage, hallucination rate, drift
- You can reason about model tradeoffs (context length, cost, latency, accuracy) and make architectural calls accordingly
- You've worked with LLM SDKs (OpenAI, Anthropic, Bedrock, etc.) and agentic orchestration frameworks (LangChain, LlamaIndex, CrewAI, or similar)
- 6 + years building production web applications from scratch
- Deep Python proficiency; comfortable with FastAPI, Django, or Flask in production
- Experience designing APIs that serve both humans and AI agents (tool schemas, structured outputs, streaming)
- Async-first thinking: asyncio, task queues, event-driven architectures
- Kafka, Redis, or ActiveMQ for real-time data movement
- Postgres, Elasticsearch, MongoDB, or graph databases (Neo4j, TigerGraph) in production
- Docker and Kubernetes in production - this is a hard requirement
- At least one public cloud (AWS, Azure, GCP) with real operational experience
- Microservices and cloud-native design patterns
- You've been on-call. You know what a bad deploy feels like at 2am.
- You can ship a frontend when the product demands it
- React, TypeScript, or modern JS frameworks
- Enough frontend fluency to build clinical interfaces without a dedicated frontend handoff
Bonus Points
- Led a small engineering team - mentored, reviewed, unblocked
- CKAD or equivalent Kubernetes certification
- ML/DL model deployment experience (PyTorch, scikit-learn)
- Built evaluation harnesses or used MLflow, LangSmith, or similar for AI observability
- Healthcare domain experience (FHIR, HL7, clinical workflows)
What We Value Above Credentials
What You'll Get
Skills
PythonTypeScriptReactDjangoFlaskFastAPIMicroservicesPyTorchScikit-learnLangChainLLMPrompt EngineeringRAGKafkaMongoDBIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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