Python Developer

About the Role

We are seeking a highly skilled Python Developer with hands-on experience in Artificial Intelligence, Machine Learning, and Generative AI technologies. The ideal candidate will design, develop, and deploy scalable AI-powered applications, backend services, and intelligent automation solutions.

Responsibilities

• Design, develop, and maintain scalable Python applications and microservices.
• Build and integrate AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications.
• Develop REST APIs and backend services using FastAPI, Flask, or Django.
• Design and implement Retrieval-Augmented Generation (RAG) solutions and AI-assisted workflows.
• Work with vector databases and embedding models to support semantic search and knowledge management applications.
• Integrate AI services such as OpenAI, Azure OpenAI, Gemini, Claude, or similar platforms.
• Develop data pipelines for model training, inference, and AI-driven automation.
• Collaborate with Product Owners, Architects, Data Engineers, and Business Stakeholders to deliver enterprise-grade solutions.
• Optimize application performance, scalability, security, and reliability.
• Participate in Agile development processes, code reviews, testing, and CI/CD activities.

Requirements

• 8+ years of hands-on experience in Python development.
• Strong expertise in Python frameworks such as FastAPI, Flask, or Django.
• Experience with RESTful APIs, Microservices Architecture, and distributed systems.
• Good understanding of Machine Learning, NLP, and Generative AI concepts.
• Hands-on experience working with LLMs, Prompt Engineering, and AI model integration.
• Experience with LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar AI orchestration frameworks.
• Knowledge of RAG architecture, embeddings, and vector databases such as Pinecone, FAISS, Weaviate, or ChromaDB.
• Proficiency in SQL and database design principles.
• Experience with Git, CI/CD pipelines, Docker, and containerized environments.
• Strong problem-solving, analytical, and communication skills.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of MLOps, LLMOps, and model deployment practices.
• Experience with PyTorch, TensorFlow, Scikit-learn, Pandas, and NumPy.
• Familiarity with Kafka, Spark, Databricks, or Snowflake.
• Exposure to AI governance, Responsible AI, and model monitoring frameworks.
• Experience in Banking, Financial Services, Capital Markets, or other regulated industries.

Benefits

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Pay

Salary Range: $110,000–120,000 a year

Qualifications

Bachelor of Computer Science