Senior Software Engineer (Python, GEN AI, AI/ML)
Senior Software Engineer (Python, GEN AI, AI/ML)
programmers.ioEarly Applicant
- Posted 3 months ago
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Job Description
We are seeking an experienced Senior Software Engineer – Python + AI/ML & Generative AI
The ideal candidate will have strong hands-on expertise in machine learning, generative AI, cloud platforms (Azure/AWS), and Python-based backend development.
Experience - 6-14 years
Notice Period - IMMEDIATE JOINERS ONLY
Skill- Python, Generative ai/LLM, Rag. fast api
Job Location - work from home (Hybrid for Jaipur, Hyderabad)
JOB DESCRIPTION
- Design and implement end-to-end AI/ML pipelines, from business understanding to deployment.
- Develop Generative AI solutions using LLMs (OpenAI/Azure OpenAI/Gemini) for document processing, chatbots, and intelligent automation.
- Implement RAG (Retrieval-Augmented Generation) architectures using LangChain, vector stores, schema validation, and output parsers.
- Build and optimize models for NLP, forecasting, and computer vision use cases.
- Apply machine learning algorithms using Scikit-learn, TensorFlow, and PyTorch
where applicable.
- Has worked with Amazon Bedrock.
- Hands on experience in python and ai
More Info
Key Skills
About Company
Skills:
Python, tool function calling, tracing observability tooling, Logfire, AI systems in production, prompting, Temporal, OpenTelemetry, pydantic-ai, LiteLLM, MCP, agent architectures
Skills:
C, Tensorflow, Javascript, Pytorch, MLops, Docker, FastAPI, Python, Kubernetes
Skills:
Performance Monitoring, Logging, Python, Benchmarking, Hugging Face, vector databases, Pinecone, LLM APIs, model evaluation methodologies, RAG pipelines, fine-tuning techniques, observability, RLHF, SFT, hallucination detection, Anthropic, Monitoring, prompt engineering, Generative AI solutions, LLM fine-tuning, FAISS, LoRA, OpenAI, Weaviate, QLoRA
Skills:
Sql, Azure Data Bricks, Python, Web Scraping, Azure Data Factory, Azure Data Lake, Data pipelines, Beautiful Soup
Skills:
Python, Model Lifecycle Management, Model Deployment, ML Pipeline Development, Machine Learning Operations, Cloud AI services, Monitoring Optimization, Machine learning frameworks, Multi Cloud skills