Overview
Skills
Job Details
Job Title: Senior Python & Generative AI Engineer
Location: Remote
Experience: 10 15 Years
Employment Type: Contract
Visa: Any // if OPT( 95 Dob candidates need)
We are seeking a highly experienced Senior Python & Generative AI Engineer with deep expertise in Python backend engineering, Large Language Models (LLMs), and modern Generative AI frameworks. The ideal candidate will lead end-to-end development of AI solutions, build scalable microservices, architect RAG pipelines, and fine-tune state-of-the-art LLMs for enterprise applications. This role requires strong hands-on coding skills, architectural thinking, and the ability to work with cross-functional teams.
Key Responsibilities-
Design and develop enterprise-grade Generative AI solutions using LLMs (GPT, Claude, Gemini, LLaMA, Mistral).
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Build and deploy RAG (Retrieval Augmented Generation) pipelines using LangChain, LlamaIndex, and vector databases.
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Architect and implement Python-based backend services using FastAPI/Django/Flask.
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Lead LLM fine-tuning, LoRA/QLoRA customization, and evaluation of model performance.
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Develop vector embeddings pipelines using HuggingFace, sentence-transformers, FAISS, Pinecone, ChromaDB.
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Build scalable microservices and APIs supporting high-volume traffic.
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Collaborate with data engineering teams to develop ETL, data ingestion pipelines, and model-ready datasets.
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Optimize AI models, reduce latency, and improve system performance.
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Integrate AI models with cloud platforms such as AWS/Azure/Google Cloud Platform using SageMaker, Vertex AI, or Azure OpenAI.
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Implement MLOps workflows including CI/CD, model monitoring, drift detection, and versioning.
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Work with product teams to understand requirements and convert them into scalable AI solutions.
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Conduct code reviews, mentor junior developers, and guide architecture decisions.
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10 15 years of hands-on experience in Python development.
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Strong experience with Generative AI, LLMs, RAG systems, and prompt engineering.
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Expertise in at least one major LLM framework: LangChain, LlamaIndex, HuggingFace.
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Strong experience in PyTorch or TensorFlow for model training and fine-tuning.
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Deep knowledge of vector databases (FAISS, Pinecone, Milvus, ChromaDB).
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Solid experience with FastAPI, Django, Flask, REST API development.
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Strong understanding of cloud platforms (AWS/Azure/Google Cloud Platform) and container orchestration (Docker, Kubernetes).
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Experience with MLOps tools such as MLflow, Airflow, Jenkins, GitHub Actions.
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Strong SQL and NoSQL database experience.
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Ability to design and implement scalable data pipelines.
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Excellent debugging, code optimization, and system design skills.
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Experience fine-tuning LLaMA, Mistral, Falcon, or Open-source LLMs.
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Knowledge of API integrations with OpenAI, Anthropic, Google Gemini, or Azure OpenAI.
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Experience developing chatbots, AI copilots, document AI systems, or intelligent agents.
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Prior experience in leading AI teams or working in enterprise-scale environments.
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Publications, GitHub contributions, or research exposure in NLP/GenAI.
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Strong communication and collaboration skills.
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Ability to lead architectural discussions and guide technical teams.
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Problem-solving mindset and ability to work in fast-paced environments.
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Passion for exploring cutting-edge AI technologies.
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Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related fields.