Programmer

Job Description

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.

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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.

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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.

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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.

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Key Responsibilities

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

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

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