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Urgent! Azure Cloud - AI ML Python Backend Engineer Job Opening In pune – Now Hiring Sereno
Who you are
You're someone who’s already shipped GenAI stuff—even if it was small: a chatbot, a RAG tool, or an agent prototype.
You live in Python, LangChain, LlamaIndex, Hugging Face, and vector DBs like FAISS or Milvus.
You know your way around prompts—noisy chains, rerankers, retrievals.
You've deployed models or services on Azure/AWS/GCP, wrapped them into FastAPI endpoints, and maybe even wired a bit of terraform/ARM.
You’re not building from spreadsheets; you're iterating with real data, debugging hallucinations, and swapping out embeddings in production.
You can read blog posts and paper intros, follow new methods like QLoRA, and build on them.
You're fine with ambiguity and startup chaos—no strict specs, no roadmap, just a mission.
You work in async Slack, ask quick questions, push code that works, and help teammates stay afloat.
You're not satisfied with just getting things done—you want GenAI to feel reliable, usable, and maybe even fun.
What you’ll actually do
You’ll build real GenAI features: agentic chatbots for document lookup, conversation assistants, or knowledge workflows.
You’ll design and implement RAG systems: data ingestion, embeddings, vector indexing, retrievals, and prompt pipelines.
You’ll write inference APIs in FastAPI that work with vector stores and cloud LLM endpoints.
You’ll containerize services with Docker, push to Azure/AWS/GCP, wire basic CI/CD, monitor latency and faulty responses, and iterate fast.
You’ll experiment with LoRA/QLoRA fine-tuning on small LLMs, test prompt variants, and measure output quality.
You’ll collaborate with DevOps to ensure deployment reliability, QA to make tests more robust, and frontend folks to shape UX.
You’ll share your work in quick “demo & dish” sessions: what's working, what's broken, what you're trying next.
You’ll tweak embeddings, watch logs, and improve pipelines one experiment at a time.
You’ll help write internal docs or “how-tos” so others can reuse your work.
Skills and knowledge
You have solid experience in Python backend development (FastAPI/Django)
Experienced with LLM frameworks: LangChain, LlamaIndex, CrewAI, or similar
Comfortable with vector databases: FAISS, Pinecone, Milvus
Able to fine-tune models using PEFT/LoRA/QLoRA
Knowledge of embeddings, retrieval systems, RAG pipelines, and prompt engineering
Familiar with cloud deployment and infra-as-code (Azure, AWS, GCP with Docker/K8s, Terraform/ARM)
Good understanding of monitoring and observability—tracking response latency, hallucinations, and costs
Able to read current research, try prototypes, and apply them pragmatically
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Unlock Your Azure Cloud Potential: Insight & Career Growth Guide
Real-time Azure Cloud Jobs Trends in pune, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Azure Cloud in pune, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 98743 jobs in India and 2347 jobs in pune. This comprehensive analysis highlights market share and opportunities for professionals in Azure Cloud roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Sereno is currently hiring and seeking a Azure Cloud AI ML Python Backend Engineer to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Sereno adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Azure Cloud AI ML Python Backend Engineer Jobs India varies, but the pay scale is rated "Standard" in pune. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Azure Cloud AI ML Python Backend Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Azure Cloud AI ML Python Backend Engineer interview at Sereno, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Sereno's products or services and be prepared to discuss how you can contribute to their success.
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