Agentic Development Associate

Aumni; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

TwinThread is looking for an Agentic Development Associate to develop innovative automation solutions within the Data, Analytics and Reporting Team. You will be responsible for designing and maintaining intelligent systems, collaborating with various stakeholders to ensure effective delivery. The ideal candidate has a strong background in Python programming and experience with cloud platforms like AWS. This role offers an opportunity to work in a global environment, enhancing data solutions in the Consumer and Community Banking Operations.

Qualifications

• 7+ years experience or 5+ years with a Master's in a quantitative field.
• Experience in production AI features.
• Familiarity with agentic frameworks.

Responsibilities

• Design, test, and maintain modular components for automation.
• Lead a team focused on agentic solutions.
• Document design decisions and communicate with stakeholders.

Skills

Strong Python programming skills

Experience with cloud platforms (AWS)

Hands-on experience developing agentic components

Excellent problem-solving skills

Ability to work collaboratively in agile teams

Education

Bachelor’s degree in a quantitative field

Master’s degree in a quantitative field

Tools

Docker

Terraform

Kubernetes

Job description

The Data, Analytics and Reporting Team (DART) serves as the primary provider of data analytics and automation solutions for all functions within the Consumer and Community Banking Operations. As a global team with a presence in the United States, India, and the Philippines, this role offers the opportunity to develop cutting‑edge solutions and infrastructure. The position involves collaboration with various stakeholders and management levels to ensure the delivery of the most effective solutions.

Job Summary

As an Agentic Development Associate in the DART team, you will be responsible for setting up future‑ready solutions and related infrastructure, collaborating with stakeholders across management levels to provide optimal solutions.

Job Responsibilities

• Design, test, and maintain modular components for agentic systems to enable intelligent automation and orchestration within business platforms.
• Assume responsibility for individual workstreams and Jira stories, consistently delivering high‑quality code and features as part of broader AI/ML initiatives.
• Collaborate effectively with team members to integrate agentic capabilities into existing systems and support solution delivery.
• Containerize and deploy agentic system components on cloud platforms (preferably AWS), adhering to established DevOps and infrastructure‑as‑code practices.
• Leverage advancements in agentic frameworks (such as LangGraph, Google ADK, AutoGen), LLMs, and GenAI by staying current and applying these technologies to assigned tasks and features.
• Document design decisions, implementation details, and results; proactively communicate progress and technical concepts to team members and stakeholders.
• Ensure code quality, security, and compliance through rigorous testing, peer reviews, and adherence to best practices.
• Lead a team of senior resources focused on agentic solutions, infrastructure development, CI/CD pipeline, and application development.
• Establish strong partnerships with similar teams across locations, as well as with other internal and external stakeholders, to enhance stakeholder management.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree with 7+ years experience or Master’s degree with 5+ year experience in a quantitative field (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Engineering).
• Hands‑on experience developing and delivering agentic system components or autonomous AI features in production environments.
• Strong Python programming skills, with a focus on modular, scalable, and maintainable code.
• Experience with cloud platforms (AWS), containerization (Docker), and infrastructure as code (Terraform).
• Familiarity with agentic frameworks (LangGraph, Google ADK, AutoGen) and integrating AI capabilities into business processes.
• Ability to work collaboratively in agile, cross‑functional teams and deliver on assigned workstreams.
• Excellent problem‑solving, communication, and documentation skills.
• Ability to lead self and work independently, keeping all stakeholders informed.

Preferred Qualifications, Capabilities, and Skills

• Experience with Large Language Models (LLMs), GenAI, and retrieval‑augmented generation (RAG).
• Exposure to agentic system design patterns, orchestration, and workflow automation.
• Experience with distributed computing, cloud orchestration (Kubernetes, EKS), and MLOps tools.
• Financial services industry experience.
• Ability to design and evaluate autonomous system features aligned with business goals.
• Experience with additional cloud services (EKS, S3, RDS, CloudFormation).

Equal Opportunity Statement

We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.