AI developer

Job Title: AI Developer (Generative AI, Agentic AI & NLP)

Position Summary

We are seeking an innovative and experienced AI Developer to assist with development, and support of next-generation AI-powered applications and intelligent agent solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Natural Language Processing (NLP), agent orchestration frameworks, and cloud-native AI services, including Claude, Amazon AgentCore, LangChain, and related AI technologies.

This role will be responsible for supporting scalable AI systems that automate business processes, enhance decision-making, and improve customer and employee experiences through intelligent conversational interfaces and autonomous AI agents.

Key Responsibilities

AI Solution Development

• Assist with design, development, and support of enterprise-grade AI applications using Claude and other foundation models.
• Build intelligent agent-based solutions leveraging Amazon AgentCore and agent orchestration frameworks.
• Develop Retrieval-Augmented Generation (RAG) architectures to improve AI response quality and contextual accuracy.

Natural Language Processing (NLP)

• Develop, optimize, and support NLP models for:

• Text classification

• Named Entity Recognition (NER)

• Sentiment analysis

• Information extraction

• Semantic search

• Conversational AI

• Design prompt engineering strategies and fine-tuning approaches for generative AI applications.

• Implement vector search and embedding solutions using modern vector databases.

AI Framework & Integration

• Utilize LangChain to build advanced AI pipelines, agent workflows, tool integration, and memory management capabilities.
• Integrate AI models with enterprise applications, APIs, databases, and cloud services.
• Build connectors between LLMs and business systems to automate workflows and business processes.
• Support AI-powered chatbots, virtual assistants, and decision-support solutions.

Cloud & Architecture

• Architect scalable AI solutions within AWS cloud environments.
• Implement AI governance, monitoring, observability, and security best practices.
• Optimize model performance, latency, throughput, and operational costs.
• Support deployment using containerized and serverless architectures.

Collaboration & Leadership

• Partner with business stakeholders, product owners, architects, and engineering teams to identify AI opportunities.
• Translate business requirements into technical AI solutions.
• Mentor junior developers and contribute to AI best practices and standards.
• Stay current with emerging AI technologies, frameworks, and industry trends.

Required Qualifications

Education

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.

Technical Skills

Generative AI & LLMs

• Hands-on experience with Claude and other Large Language Models.

• Strong understanding of:

• Prompt Engineering

• RAG Architecture

• Function Calling

• Tool Usage

• Agentic AI Systems

• AI Evaluation Frameworks

Agent Frameworks

• Experience with:

• Amazon AgentCore

• LangChain

• LangGraph (preferred)

• Multi-agent architectures

• Workflow orchestration frameworks

NLP

• Strong experience in NLP concepts and libraries.

• Knowledge of:

• Text preprocessing

• Tokenization

• Embeddings

• Semantic search

• Intent classification

• Entity extraction

• Document processing

Programming

• Expert-level Python development.

• Experience with:

• FastAPI

• REST APIs

• Microservices

• Software design patterns

• Test-driven development

Cloud & Infrastructure

• AWS Cloud Services
• Docker
• Kubernetes (preferred)
• CI/CD pipelines
• Git and DevOps practices

Data Technologies

• SQL and NoSQL databases

• Vector databases such as:

• Pinecone

• OpenSearch

• Chroma

• Weaviate

• FAISS

Preferred Qualifications

• AWS Certified AI Practitioner, Machine Learning Engineer, or Solutions Architect certification.
• Experience building production AI copilots and digital assistants.
• Knowledge of machine learning and deep learning frameworks.
• Experience implementing AI governance, responsible AI, and model monitoring practices.
• Familiarity with enterprise integration platforms and workflow automation tools.

Key Competencies

• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities
• Ability to work independently and within cross-functional teams
• Innovation mindset with a passion for emerging AI technologies
• Strong understanding of software engineering best practices
• Customer-focused approach to solution design

Success Metrics

• Support of production-ready AI applications and agents
• Improvement in business process automation and efficiency
• AI solution scalability, reliability, and adoption
• AI model performance, accuracy, and user satisfaction
• Reduction of manual effort through intelligent automation

Ideal Candidate Profile

A successful candidate will combine strong software engineering skills with deep expertise in Generative AI, Claude, AgentCore, LangChain, NLP, and agent-based architectures. They will be capable of architecting enterprise AI solutions from concept through production while ensuring security, scalability, governance, and measurable business value.