Explore HV Portfolio Careers

Discover exciting opportunities with HV-backed companies. Join our Talent Network to get personalized job alerts and stay updated on the latest roles across our portfolio.

Senior Gen AI Application Developer - LangGraph, Bedrock, AWS (ONSITE)

Matterway

Matterway

Software Engineering, Data Science
Charlotte, NC, USA · South Carolina, USA
Posted on Mar 16, 2026

Senior Gen AI Application Developer - LangGraph, Bedrock, AWS (ONSITE)

We are looking to build a team of Agentic AI / Generative AI Engineers passionate about building Agentic Workflows for business process transformation in Banking domain. We are seeking a highly skilled and innovative Senior Developer with deep expertise in Generative AI, AWS cloud services, and modern front-end development. This role is ideal for someone passionate about building intelligent, scalable applications using cutting-edge AI frameworks and cloud-native technologies.

Key Responsibilities

  • Design, develop, and deploy AI-driven applications using Generative AI frameworks such as Langchain and LangGraph.
  • Integrate and optimize Amazon Bedrock and Vector Databases for semantic search and retrieval-augmented generation (RAG) workflows.
  • Build and maintain scalable backend services using AWS Lambda, Step Functions, RDS, EventBridge, and EKS.
  • Develop responsive and user-friendly web portals using ReactJS.
  • Collaborate with cross-functional teams including data scientists, DevOps, and product managers to deliver high-impact solutions.
  • Implement best practices for code quality, performance, and security in cloud-native environments.

Required Skills & Qualifications

  • Proven experience with Generative AI technologies and frameworks such as Langchain, LangGraph, and AWS Bedrock.
  • Strong understanding of Vector Databases (e.g., PGVector, Pinecone, FAISS, Weaviate).
  • Hands-on expertise in AWS services: Lambda, Step Functions, RDS, EventBridge, and EKS.
  • Experience in front-end development using ReactJS.
  • Strong problem-solving skills and ability to work in a fast-paced, agile environment.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • Experience with Retrieval-Augmented Generation (RAG) pipelines.
  • Familiarity with CI/CD pipelines and infrastructure-as-code tools.
  • Exposure to MLOps and AI model deployment strategies.

Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.


The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.