AI Backend Engineer (Python)

1 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

WE’RE HIRING: AI BACKEND ENGINEER (PYTHON & LLMS) — JUNIOR (0–1 YRS)


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Type


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

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