Senior Python Engineer

Job Description

About Us: We are a fast-growing AI-first SaaS company revolutionizing enterprise IT and HR operations with cutting-edge AI and automation. Our AI-powered solutions optimize workflows, enhance efficiency, and drive digital transformation. Recognized for innovation, we are expanding our engineering team and looking for passionate professionals to build, scale, and optimize AI-driven applications. Role Overview: We are looking for an experienced Python Engineer specializing in Data Engineering, LLM API Development, and AI-driven applications. If you have expertise in building scalable data pipelines, optimizing AI models, and deploying APIs, this is your opportunity to work on next-generation AI solutions. Key Responsibilities: Develop & Optimize Data Pipelines: Build scalable, high-performance pipelines for structured and unstructured datasets. AI-Driven API Development: Design, develop, and deploy secure, scalable APIs for LLM-powered solutions in production environments. LLM Model Optimization: Work on OpenAI, and Hugging Face models to refine AI performance and accuracy. Cloud & AI Infrastructure: Implement MLOps best practices using AWS, Docker, Kubernetes, and vector databases like Pinecone & FAISS. Big Data & Streaming Processing: Utilize Kafka, and Spark Streaming for large-scale AI data processing. Security & Monitoring: Implement Prometheus, Grafana, OAuth, and JWT for secure API integrations. Must-Have Skills: Python Programming: Expertise in developing robust data pipelines & API development (FastAPI, Flask, RESTful APIs). Data Engineering: Strong experience with Pandas, PySpark, SQL, and Airflow for handling large datasets. Cloud & Containerization: Hands-on experience with AWS, Docker, and Kubernetes. LLM & NLP Expertise: Familiarity with OpenAI, and Hugging Face for prompt optimization. API Development & Deployment: Proficiency in FastAPI, Flask, and RESTful APIs for AI-driven applications. Good to Have: MLOps & AI Infrastructure: Experience with MLflow, Kubeflow, TensorFlow, PyTorch. Big Data Processing: Exposure to Kafka, Spark Streaming. Monitoring & Security: Understanding of Prometheus, Grafana, OAuth, JWT. Who Should Apply? AI Enthusiasts Passionate about AI, Machine Learning, and LLMs. Tech Innovators Experienced in SaaS, AI, or product-based companies. Problem-solvers Who thrive in a fast-paced, high-growth environment. Preferred Industry Experience: AI, SaaS, or Product-Based Companies. Candidates from IT services with strong AI/ML exposure may also be considered. Selection Process: 1 HR Screening & Profile Shortlisting 2 Technical Task Evaluation 3 L1 Interview with CTO 4 Final Evaluation & Offer Apply Now & Be a Part of the AI Revolution! Data Engineering, Api Developement, Ml Ops, Big Data Processing, Cloud Connector Configuration, Monitoring & Controlling, Python Programing, Llm (Large Language Models), Strong Problem-Solving And Analytical Skills