Programmer

We are seeking an experienced Programmer/Analyst with a strong focus on Generative AI and Agentic AI to design, develop, and deliver enterprise-grade AI solutions across complex business environments.

The ideal candidate will bring 10+ years of technology and solution delivery experience, with deep hands-on expertise in modern Generative AI architectures, multi-agent systems, Retrieval-Augmented Generation, natural language processing, forecasting, recommendation systems, and enterprise AI integration.

This individual will work closely with business stakeholders, architects, data scientists, engineers, and cross-functional technology teams to translate business needs into scalable, secure, production-ready AI capabilities.

The role requires someone who can operate independently, move comfortably between business requirements and technical implementation, and take ownership of AI solutions from use-case definition through architecture, development, integration, testing, and deployment.

Key Responsibilities

• Design and develop enterprise Generative AI and Agentic AI solutions aligned with business and technology requirements.
• Architect and implement multi-agent AI systems that coordinate specialized agents, workflows, tools, data sources, and enterprise applications.
• Build production-ready Retrieval-Augmented Generation, RAG, solutions, including document ingestion, chunking, embeddings, retrieval strategies, grounding, prompt orchestration, and response generation.
• Develop conversational AI and chatbot capabilities using enterprise data and approved knowledge sources.
• Design AI solutions supporting use cases such as forecasting, recommendation engines, intelligent search, NLP, summarization, knowledge retrieval, workflow automation, and decision support.
• Develop and orchestrate AI workflows using frameworks such as LangChain, LangGraph, CrewAI, and Model Context Protocol, MCP.
• Integrate large language models with APIs, enterprise systems, databases, tools, and business workflows.
• Design and implement vector search capabilities using vector databases and cloud-native AI services within AWS and/or Microsoft Azure environments.
• Evaluate and select appropriate LLMs, embedding models, retrieval techniques, orchestration patterns, and agent architectures based on business requirements.
• Translate ambiguous business problems into clearly defined AI use cases, technical requirements, solution architectures, and implementation plans.
• Partner with stakeholders to assess use-case feasibility, value, risks, dependencies, and implementation considerations.
• Develop reusable AI components, services, APIs, prompts, workflows, and integration patterns that support enterprise scalability.
• Implement appropriate controls for security, privacy, traceability, model governance, monitoring, and responsible AI.
• Establish testing and evaluation approaches for AI solutions, including retrieval quality, hallucination reduction, response accuracy, reliability, latency, and overall solution performance.
• Support deployment, troubleshooting, performance optimization, and ongoing enhancement of production AI applications.
• Document architecture, technical designs, workflows, APIs, development standards, and operational procedures.
• Provide technical leadership and guidance to development teams while remaining actively involved in hands-on solution delivery.

Required Qualifications

• 10+ years of professional experience delivering technology, analytics, software engineering, AI, or enterprise application solutions across multiple business domains.
• Demonstrated hands-on experience delivering Generative AI and Agentic AI solutions in enterprise environments.
• Strong understanding of enterprise AI architecture and modern LLM application patterns.
• Proven experience designing and implementing multi-agent architectures and agent-based workflows.
• Hands-on experience with Retrieval-Augmented Generation, RAG, enterprise search, embeddings, semantic retrieval, and vector databases.
• Strong experience with AI orchestration frameworks such as:
• LangChain
• LangGraph
• CrewAI
• Model Context Protocol, MCP
• Experience developing AI solutions using cloud platforms such as AWS and/or Microsoft Azure.
• Experience integrating vector databases, enterprise data sources, APIs, cloud services, and LLM platforms.
• Strong programming experience, preferably with Python, and familiarity with modern software development practices.
• Experience with NLP technologies and architectures supporting conversational AI, text analysis, classification, summarization, extraction, or knowledge management.
• Experience designing or implementing forecasting and recommendation solutions.
• Strong understanding of APIs, microservices, data pipelines, application integration, and distributed system concepts.
• Demonstrated ability to convert business use cases into scalable technical solutions.
• Experience taking AI capabilities from proof of concept through production deployment.
• Strong analytical, problem-solving, communication, and stakeholder-management skills.
• Ability to work independently with minimal supervision while collaborating effectively across multidisciplinary teams.

Preferred Qualifications

• Experience implementing AI solutions in highly regulated or complex enterprise environments.
• Experience with enterprise AI governance, responsible AI, data privacy, security, and model monitoring.
• Familiarity with LLM evaluation frameworks, observability tools, prompt management, and AI performance monitoring.
• Experience developing reusable AI platforms, accelerators, frameworks, or shared enterprise services.
• Familiarity with CI/CD, DevOps, MLOps, or LLMOps practices.
• Experience working with structured and unstructured enterprise data.
• Knowledge of knowledge graphs, hybrid search, semantic search, or advanced retrieval techniques.
• Experience supporting AI-enabled workflow automation and human-in-the-loop processes.