Python Developer at appscrip · Surat · 0 - 1 years · ₹1.8L - ₹5L / yr · Profitable · Posted 20 Dec 2024
We are looking to expand our existing Python team across our offices in Surat. This position is for SDE-1 - Junior Software Engineer.
The requirements are as follows:
1) Familiar with the the Django REST API Framework.
2) Experience with the FAST API framework will be a plus
3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )
4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus
5) Experience with any ML library will be a plus.
6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.
7) Familiar with basic code patterns like MVC.
8) Grasp on basic data structures.

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We are seeking an AI Engineer to build and implement AI systems for content production at scale. You'll work at the intersection of engineering and content designing prompt pipelines, integrating generative models, and building the tooling that turns source material into finished creative output. The ideal candidate is technically strong but also has taste: someone who understands story and craft, and can tell the difference between output that's technically correct and output that's actually good.
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- Design and integrate agentic workflows orchestrate multi-step, tool-using agents that plan, call models, and hand off between stages in production
- Deploy and serve open-source models set up inference endpoints, manage GPU compute, and optimize for latency and cost
- Write evals compare outputs against references, quantify quality, and feed results back into the pipeline
- Work on data pipelines: structured extraction from messy source text, localization, similarity/dedup
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- (1+/3+) years of engineering experience, or a strong portfolio of shipped projects
- Solid Python fundamentals clean, working, readable code
- Hands-on experience with LLM APIs and prompt engineering (personal projects count)
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- Familiarity with vector databases, embeddings, or RAG (Qdrant, pgvector)
- Hands-on work with open-source generative media models Flux, LTX, Wan, or similar
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