Senior Software Developer - MCP and Agentic AI

Position Overview

We are seeking a dynamic and highly skilled Software Developer to join our Model Context Protocol (MCP) and Agentic AI teams. As part of these teams, you will play a crucial role in advancing our AI-driven technologies, focusing on building and enhancing intelligent software solutions that leverage Large Language Models (LLMs) and other AI technologies to benefit our diverse customer base.

Responsibilities

• Design and Development: Participate in the full software development lifecycle, including designing, coding, testing, and debugging of agentic AI frameworks and autonomous systems powered by LLMs for reasoning, decision-making, and tool execution
• AI and Machine Learning Integration: Collaborate with engineers and AI specialists to integrate machine learning models, including LLMs, into production applications. Integrate and optimize large language models and RAG pipelines using LangChain, FAISS, or similar frameworks to enhance content retrieval
• AI Observability: Apply observability tools such as Comet Opik for model tracing, prompt evaluation, and system monitoring
• Code Quality: Write clean, maintainable, and efficient Python code while adhering to industry’s best practices. Use AI-assisted development tools like Cursor, Claude Code, or Copilot to accelerate coding and experimentation
• Collaboration: Work closely with cross-functional teams to understand requirements, provide technical expertise, and deliver high-quality solutions
• Continuous Improvement: Identify areas for improvement in existing systems and make recommendations for enhancements
• Scalability: Ensure scalability, security, and reliability of deployed AI services to handle growing data and user demands within AWS environments (Lambda, ECS, Aurora, S3, Bedrock)
• Documentation: Maintain comprehensive documentation for new and existing features (APIs, and MCP workflows)

Minimum Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• Experience: Minimum of 3 years of professional software development experience, with a focus on AI and machine learning applications
• Proficiency in programming languages such as Python, Java, or C++
• Experience with AI and machine learning frameworks like TensorFlow, PyTorch, or similar, Model Context Protocol (MCP) servers, handling tool registration, context sharing, and secure communication between agents
• Experience with Large Language Models (LLMs) and their application in software development
• Experience with frameworks such as LangChain, DySpy, or CrewAI for multi-agent orchestration and contextual reasoning
• Experience building large-scale RAG or vector-based storage systems using FAISS, Redis, or comparable tools
• Experience with experimentation and observability tools such as Comet Opik or Weights & Biases
• Solid understanding of software design principles, algorithms, and data structures
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes)
• Strong problem-solving skills and the ability to think critically
• Excellent communication and teamwork abilities
• Ability to work in a fast-paced, agile environment
• A passion for innovation and a strong desire to stay updated with the latest industry trends and technologies

Preferred Qualifications

• Experience with natural language processing (NLP) and conversational AI would be a plus
• Prior experience in working on large-scale, distributed systems
• Knowledge of CI/CD pipelines and DevOps practices