Amtex Systems Inc.

About the Company

Amtex Systems was officially started in 1997 by Sunny Pokala with its headquarters in Wall Street, New York, and currently has offices across four continents. The organization provides specialized technical services and digital solutions in software development, online media, business intelligence, mobile applications, cybersecurity, and talent management. We specialize in generating, preserving, and measuring long-term value for our clients, people, and society.
Amtex has formed long-lasting relationships with prominent IT giants like Salesforce, AWS, Azure, and ibi. We deliver outcomes, restructure strategy, support innovation and transformation, and assist businesses in meeting regulatory needs. This helped us develop many successful products like Securra Health, Huut, and CONTINYOU.
Amtex has been in operation for more than 25 years and continues to receive recognition for creating a better working world while addressing some of the global business challenges.

Listed Jobs

Company Name

Amtex Systems Inc.

Job Title

Product Manager

Job Description

**Job Title**: Product Manager **Role Summary**: Oversee product backlog management, ticket prioritization, and QA for ResX applications, ensuring efficient delivery and system reliability under a T&M model. **Expectations**: Experience in product management, mainframe systems, stakeholder engagement. **Key Responsibilities**: - Manage and prioritize product backlog with stakeholders. - Facilitate backlog grooming and define clear requirements for development teams. - Align ticket prioritization with business impact and timelines. - Serve as primary contact for incoming support tickets via JIRA, ServiceNow, and email; assign tickets to appropriate teams. - Monitor ticket resolution timelines and resolve incidents/requests. - Develop and execute QA strategies for enhancements and fixes. - Perform functional/regression testing across applications; validate fixes with developers. - Document test cases and defects. - Collaborate with SMEs, business users, and application owners to clarify requirements and resolve issues. - Provide progress updates on ticket status, QA outcomes, and delivery to leadership. - Track KPIs/SLAs for ticket resolution and QA effectiveness; maintain dashboards/logs. - Utilize Power BI, SQL, ServiceNow, and Clarity PPM tool for reporting and time tracking. **Required Skills**: Product management, mainframe systems, stakeholder engagement. **Required Education & Certifications**: Not specified.

Miami, United states

Hybrid

11-09-2025

Company Name

Amtex Systems Inc.

Job Title

Machine Learning Engineer

Job Description

Job Title: Machine Learning Engineer Role Summary: Design, develop, and deploy large‑language‑model (LLM) solutions for legal document processing. Build end‑to‑end pipelines for data preparation, annotation, and model training. Collaborate with legal experts and cross‑functional teams to ensure models meet domain needs and adhere to quality, ethical, and performance standards. Expectations: - Deliver LLM‑based applications that meet legal domain requirements on time. - Maintain data assets, ensuring integrity, quality, and compliance. - Run experiments, evaluate models, and iterate to improve performance. - Apply best practices in coding, testing, and documentation. - Own the end‑to‑end lifecycle from design to production deployment. Key Responsibilities: 1. Design and implement preprocessing and annotation pipelines for legal corpora. 2. Fine‑tune, benchmark, and evaluate LLMs, prompt engineering, and retrieval‑augmented generation (RAG). 3. Collaborate with legal stakeholders to capture requirements and validate model outputs. 4. Develop and maintain data models, relational/NoSQL schemas, and vector stores. 5. Integrate models into production via API or microservices; manage deployment on cloud platforms. 6. Conduct code reviews, enforce coding standards, and document processes. 7. Monitor model performance post‑deployment and drive continuous improvement. 8. Communicate results and technical decisions to both technical and non‑technical audiences. Required Skills: - Strong foundation in machine learning: dimensionality reduction, clustering, embeddings, sequence classification. - Deep learning experience with PyTorch, TensorFlow, and Hugging Face Transformers. - NLP proficiency: spaCy, word2vec, BERT, Flair, Keras, TensorFlow, PyTorch. - LLM expertise: prompt engineering, fine‑tuning, benchmarking (LangChain, LlamaIndex). - Advanced Python programming. - Experience with cloud platforms (AWS, GCP, or Azure). - Data modeling, relational and NoSQL database skills; vector store integration (PostgreSQL, Elasticsearch/OpenSearch, ChromaDB). - Preferred: Scala, Spark, Ray; API development, containerization, ML Ops/AI Ops. Required Education & Certifications: - Bachelor’s degree (or equivalent) in Computer Science, Data Science, or related field. - Relevant certifications (e.g., AWS Certified Machine Learning, Google Professional Data Engineer, or Microsoft Certified: Azure AI Engineer) are a plus.

Raleigh, United states

On site

11-09-2025

Company Name

Amtex Systems Inc.

Job Title

Senior Business Analyst

Job Description

**Job Title:** Senior Business Analyst **Role Summary:** Bridge financial services stakeholders and technology teams to define and implement business solutions. **Expectations:** Minimum 7 years in financial services (buy-side technology, asset management preferred); bachelor’s degree or equivalent. **Key Responsibilities:** Analyze business requirements; translate user needs into system scope/objectives; collaborate on solution delivery; facilitate cross-functional project execution. **Required Skills:** Financial services domain expertise; SQL/database proficiency; data analysis; stakeholder communication; project leadership. **Required Education & Certifications:** Bachelor’s degree in business or technology-related field; 7+ years financial services experience (asset management, buy-side technology).

Boston, United states

On site

Senior

14-09-2025

Company Name

Amtex Systems Inc.

Job Title

Artificial Intelligence Engineer

Job Description

Job Title: Artificial Intelligence Engineer Role Summary: Build, deploy, and fine‑tune large language model (LLM) solutions using platforms such as Gemini 2.5, GitHub Copilot, and Glean. Drive AI‑powered productivity tools, automate enterprise workflows, and support data‑driven innovation, with a focus on healthcare applications. Expectations: Deliver high‑quality AI products that integrate seamlessly into production systems, maintain compliance and ethical standards, and continuously adapt to emerging LLM technologies. Collaborate across product, engineering, and data science teams to iterate and scale AI applications. Key Responsibilities: - Design and implement AI solutions with Gemini 2.5, Copilot, Glean, and other LLM tools. - Integrate generative AI into enterprise workflows for knowledge management, search, and automation. - Collaborate with cross‑functional teams to build scalable AI applications. - Fine‑tune and optimize AI/LLM models for specific business and healthcare use cases. - Conduct experiments, benchmark performance, and ensure deliverable quality. - Ensure compliance, security, and ethical usage of AI in production. - Stay current with AI/LLM advancements, RAG, knowledge graphs, and healthcare AI trends. Required Skills: - Proven hands‑on experience with Gemini 2.5, GitHub Copilot, Glean, or similar LLM tools. - Deep understanding of LLM architectures, embeddings, and retrieval‑augmented generation (RAG). - Proficiency in Python, JavaScript/TypeScript, or related languages. - Experience with cloud platforms (AWS, Azure, GCP) and AI/ML deployments. - Familiarity with vector databases (Pinecone, Weaviate, FAISS, Milvus, etc.). - Knowledge of ML pipelines, APIs, and prompt engineering. - Strong problem‑solving, communication, and collaboration skills. - Preferred: Healthcare industry background, enterprise search systems, LangChain, LlamaIndex, Hugging Face, OpenAI API experience; data privacy/compliance (HIPAA, PHI) awareness. Required Education & Certifications: Bachelor’s or higher degree in Computer Science, Engineering, Data Science, or related field. No mandatory certifications specified.

United states

Remote

03-10-2025