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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** Technosoft Corporation - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Data Governance, DevOps, Amazon DynamoDB, Github, Python (Programming Language), Machine Learning, OpenAI, Scala (Programming Language), Search Technologies, Software Engineering, SQL Databases, Data Logging, Spring Cloud, LangChain, Retrieval-Augmented Generation, Snowflake, Prompt Engineering, Generative AI, Agentic-AI, Git, Cloudformation, Fastapi, Containerization, Data Lakes, Pyspark, Git Flow, Kubernetes, Deployment Automation, Apache Kafka, Machine Learning Operations, Claude, Google Gemini, Restful APIs, Terraform, Docker, Jenkins, Amazon Redshift, Databricks - **Published:** November 4, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-ml-engineer-charlotte-nc--e242a4b3-e607-4213-9b79-a4036939bc95 ## About the Role Artificial Intelligence (AI), Biology, Asset Management, Healthcare, DevOps, Business Transformation, Internet of Things, Quality Engineering, Software Development, Continuous Improvement, Experienced AI/ML and Data Engineering leader with 15+ years of software engineering experience and 5+ years building enterprise AI, Machine Learning, Generative AI, and cloud-native solutions. Strong hands-on expertise in designing and deploying production-scale AI platforms, RAG systems, AI Agents, MLOps frameworks, and cloud-native applications on AWS. ## Description This role is primarily a 70% hands-on Individual Contributor and 30% technical leadership position. The engineer is expected to design, build, deploy, and optimize enterprise AI solutions while mentoring teams and coordinating with business, product, and engineering stakeholders., Build GenAI applications using OpenAI, Claude, Gemini, Llama, and AWS Bedrock. Develop RAG solutions, AI Agents, semantic search, prompt engineering frameworks, and MLOps pipelines. Create scalable APIs using Python and FastAPI. Design cloud-native architecture using AWS services and implement CI/CD automation. Core Technical Skills Python, Java, SQL, Scala; OpenAI, Claude, Gemini, Llama, LangChain, LangGraph, RAG, AI Agents; SageMaker, Bedrock, Lambda, ECS, EKS, S3, DynamoDB, Redshift; Databricks, PySpark, Snowflake, Delta Lake, Kafka, Airflow; Docker, Kubernetes, Git, GitHub Actions, Jenkins, Terraform, CloudFormation. Infrastructure & DevOps: Lead Infrastructure as Code implementations using Terraform and CloudFormation. Build automated deployment pipelines using Git-based workflows, CI/CD, containerization, Kubernetes orchestration, monitoring, logging, and governance controls. Leadership & Collaboration: Provide architectural guidance, mentor engineers, conduct design reviews, support delivery planning, and collaborate with product managers, business stakeholders, compliance teams, and data scientists to deliver enterprise AI initiatives. Preferred Industry Experience Financial Services, Banking, Payments, Risk Analytics, Regulatory Reporting, Data Governance, and Enterprise Digital Transformation. Success Profile A highly technical practitioner capable of independently delivering AI solutions from concept to production while influencing architecture, standards, and engineering excellence across teams. Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified by Great Place To Work®, the global authority on workplace culture, in each of the four regions in which it operates: USA (for the seventh time in 2026), India (for the tenth consecutive time in 2026), the UK(for the fourth time in 2026) and Mexico (for the second time in 2026). Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com) Our Commitment to Environment: Actively contribute to Apexons commitment to environmental responsibility by following sustainable practices and supporting ESG initiatives.