Role Overview
We are seeking an experienced Senior Python AI/ML, GenAI Engineer to design, build, and maintain scalable, high-quality software systems. This role requires strong expertise in Python, system design, AI/ML, Generative AI, and modern backend technologies.
The ideal candidate will take ownership of complex features, contribute to technical architecture and design decisions, mentor other engineers, and work closely with cross-functional teams to deliver reliable, scalable, and high-performing solutions.
Key Responsibilities
• Design, develop, and maintain scalable Python-based applications and services.
• Model Productionization: Convert machine learning prototypes created by data scientists into production-ready software systems.
• GenAI & LLM Integration: Design, test, and implement features leveraging LLMs, including prompt engineering and agentic workflows.
• Vector Databases: Build semantic search capabilities and manage vector databases such as Pinecone, Milvus, and FAISS for RAG systems.
• Lead technical design and architecture discussions for complex systems.
• Write clean, efficient, maintainable code following engineering best practices.
• Conduct code reviews and provide technical mentorship to junior and mid-level engineers.
• Collaborate with Product, DevOps, QA, and Architecture teams.
• Optimize application performance, scalability, and reliability.
• Troubleshoot and resolve complex production issues.
• Build and enhance automated testing frameworks.
• Support CI/CD pipelines and modern DevOps workflows.
• Ensure compliance with security, data, and quality standards.
Required Qualifications
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 8+ years of professional software development experience.
• Strong proficiency in Python and object-oriented programming.
• Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-Learn.
• Experience with Generative AI technologies and frameworks such as Hugging Face, LangChain, or LangGraph.
• Strong command of data manipulation libraries including Pandas, NumPy, and Apache Spark.
• Experience with at least one Python web framework: Django, Flask, or FastAPI.
• Strong understanding of RESTful API design and development.
• Experience with relational databases such as PostgreSQL, MySQL, or Oracle and strong SQL skills.
• Familiarity with NoSQL databases such as MongoDB, DynamoDB, or Redis.
• Solid understanding of asynchronous processing and multithreading/multiprocessing.
• Experience with Git and modern version control workflows.
Preferred Qualifications
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with Docker and Kubernetes.
• Experience with data pipelines, ETL processes, or distributed systems.
• Knowledge of messaging systems such as Kafka, RabbitMQ, or SQS.
• Experience building microservices and event-driven architectures.
• Exposure to data science, machine learning, or AI platforms.
Testing & Quality
• Strong experience with testing frameworks such as pytest, unittest, or nose.
• Familiarity with test automation, integration testing, and performance testing.
• Commitment to high code quality, reliability, and maintainability.
Soft Skills
• Strong problem-solving and analytical abilities.
• Excellent written and verbal communication skills.
• Ability to lead technical initiatives and influence architecture decisions.
• Comfortable working in fast-paced, collaborative environments.
• Passion for mentoring, learning, and continuous improvement.
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