Python Developer
7 days ago
Job Title: Python Developer Generative AI
Experience Required
5+ years of software development experience, including at least 2+ years working with Generative AI, LLM-based systems, and API integrations. Experience in architectural decision-making and leading small teams is a strong plus.
Role Overview
We are building a small, agile team to deliver end-to-end GenAI-powered solutions. This is a hands-on development role, with a focus on building scalable backend services, APIs, and deploying production-grade GenAI applications. While GenAI expertise is important, a significant portion of the work will involve core engineering tasksbackend development, microservices, production readiness, and deployment automation.
You will work across the development lifecycle — from design, build, testing, debugging, and deployment — collaborating closely with product, design, and infrastructure teams.
Key Responsibilities
- Hands-on Development: Build and maintain GenAI-powered applications using Python (beyond Jupyter notebooks) and modern frameworks such as FastAPI/Flask/Django.
- GenAI Integration: Work with LLMs, RAG pipelines, embeddings, and vector search using APIs (OpenAI, Azure OpenAI, Anthropic, O'lama, Mysteral).
- On-Premise LLM Hosting: Contribute to setup, fine-tuning, and ongoing support for self-hosted or enterprise LLM deployments.
- Microservices Engineering: Design and implement resilient microservices with tracing, fallbacks, latency optimization, and monitoring.
- Deployment & Production Support: Write Dockerfiles, assist with Kubernetes deployments, set up CI/CD pipelines, and ensure smooth environment progression.
- Production Readiness: Implement logging, tracing, debugging, and black-box testing strategies to ensure reliability in live environments.
- Collaboration: Partner with product, infrastructure, and QA teams to ensure timely, high-quality delivery.
Must-Have Skills & Experience
- Python Development: Production-grade coding experience (not just notebooks).
- API & Microservices: Strong expertise in designing and building RESTful APIs and event-driven microservices.
- GenAI Tools: Experience with LangChain, Hugging Face Transformers, vector databases (Pinecone, Weaviate), embeddings, and RAG pipelines.
- Prompt Engineering & Fine-Tuning: Ability to design prompts, mitigate hallucinations, and tune LLMs for business use cases.
- Cloud & Deployment: Familiarity with AWS/GCP/Azure, Docker, Kubernetes, and CI/CD pipelines.
- Production Support: Proven ability to troubleshoot, debug, and support applications in live environments.
Preferred Skills
- Experience with LLMOps tools (MLflow, Weights & Biases, Trulens, PromptLayer).
- Exposure to multi-modal GenAI (text, image, audio).
- Understanding of Agentification, MCP (Multi-Context Protocol), and code conversion tools.
- Contributions to open-source projects or building internal developer tooling.
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