AHMEDABAD · FULLTIME
JUNIOR AI BACKEND ENGINEER
LumiByte AI
Ahmedabad · onsite · Posted 15d ago
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Section · 01
About this role
🚀
WE'RE HIRING: AI BACKEND ENGINEER (PYTHON & LLMS) — JUNIOR (0–1 YRS) 📍
Location: Ahmedabad (On-site) 🕐
Type: Full-time | Early-stage Startup 🌟
WHO WE ARE We're a tiny team building an enterprise AI copilot on top of company data. We ship fast, learn faster, and your code will ship to real users. If you love problem-solving, clean APIs, and playing with LLMs, you'll feel at home. 🎯
WHAT YOU'LL DO
- Build small backend features in Python (FastAPI/Flask), starting with well-scoped tasks
- Call LLM/APIs (OpenAI/Azure/Mistral), handle auth, timeouts, retries, and streaming responses
- Write tests (pytest), logs, and docs for what you build — we keep things tidy
- Work with SQL (Postgres/MySQL): read/write data, debug queries, add migrations
- Ship to cloud with guidance (AWS + Docker + GitHub Actions)
- Pair with seniors, join design reviews, and learn how production systems are built 🧠
WHAT YOU'LL LEARN
- Prompt design, function/tool calling, and "how to talk to LLMs"
- RAG basics: embeddings, vector DBs, chunking strategies
- Observability: tracing, metrics, structured logs
- Guardrails: input/output validation, cost & latency tracking for LLM calls 🙋
WHO YOU ARE
- Fresher / 0–1 year experience (internships, hackathons, or solid personal projects count!)
- Comfortable reading docs, debugging weird errors, and asking great questions
- You build, break, learn, repeat — and you commit often ✅
MUST-HAVE SKILLS
- Python fundamentals for backend (functions, modules, async basics)
- HTTP/REST, JSON, and calling third-party APIs
- FastAPI or Flask basics (routes, request/response models)
- SQL basics with any RDBMS (Postgres/MySQL/MariaDB)
- Git/GitHub, basic Docker, and comfort in a terminal
- Exposure to LLMs via any provider (used OpenAI/Claude/Mistral in a project is perfect) 💡
NICE TO HAVES (TEACHABLE ON THE JOB)
- LangChain/LlamaIndex, or you've rolled simple orchestration yourself
- Vector DBs (pgvector/Pinecone/Weaviate/Milvus) and embeddings
- Redis for caching/queues; basics of Kafka/SQS
- OAuth2/JWT, OpenAPI/Swagger
- Observability (OpenTelemetry/Prometheus/Grafana) and typing/linting culture 🎁
WHY JOIN US
- 🚀 Ownership from week one (mentorship included)
- 🛠️ Real impact: your features go live, not to a backlog graveyard
- 📚 Steep learning curve in AI product engineering
- 🍵 Friendly, curious team that ships
Job Details 🏢 Employment: Full-time 🏭 Industry: Data Infrastructure and Analytics
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Section · 02