Python Developer

Primary Responsibilities:

• Design & Development of AI Agents:
• Architect intelligent agents capable of autonomous reasoning, planning, and acting
• Integrate LLMs with memory, tool-use, and multi-step planning frameworks (e.g., LangChain, AutoGPT, CrewAI)
• Workflow Automation & Optimization:
• Build agents to automate labor-intensive workflows and augment human capabilities
• Translate business use cases into scalable agentic workflows
• System Integration:
• Connect agents to external services via APIs
• Work with vector databases, embedding models, and retrieval-augmented generation (RAG) pipelines
• Deployment & Monitoring:
• Deploy agents into production environments
• Set up monitoring, logging, and feedback loops to ensure reliability and safety
• Collaboration & Research:
• Work with cross-functional teams including AI researchers, product managers, and domain experts
• Stay updated on the latest developments in agentic AI, reinforcement learning, and cognitive architectures
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualifications - External

Required Qualifications:

• Bachelor’s degree or 10+ years of equivalent experience
• 5+ years of experience with RESTful Web API Development
• 5+ years of experience with Front end development (React / Blazer Web Assembly)
• Hands-on experience with OpenAI, Azure OpenAI, Anthropic, or other LLM providers
• Experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP)
• Experience with LangChain, CrewAI, LangGraph, AutoGen, or similar agentic frameworks
• Expertise in Agile and DevOps methodologies
• Solid proficiency in Python; familiarity with async patterns and robust error handling
• Practical knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate), embeddings, and retrieval pipelines
• Familiarity with Model Context Protocol (MCP) and multi-agent orchestration
• Proven ability to connect agents with external services (APIs, DBs, files) and implement tool-calling logic
• Proven ability to integrate GenAI APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications to enhance user experience
• Proven ability to build internal chatbots using pre-trained LLMs to automate workflows and support decision-making
• Proven ability to implement AI-driven monitoring tools for improved system observability and operational efficiency
• Proven ability to use UAIS to deploy microservices that support autonomous agent orchestration
• Proven ability to develop intelligent agents that proactively surface relevant insights, summarize complex datasets, and reduce time-to-decision for end users