Full Stack Developer – Agentic AI

Job Description

Job Summary:

We are looking for a Full Stack Developer – Agentic AI who will drive the design,

development, and delivery of next-generation AI-powered applications. This role requires a

hands-on technical leader who can architect systems with integrations with Agentic AI

solutions—from concept to production.

You will Lead end-to-end Agentic AI solution design, development, and integration for

application Development Team to translate real-world problems into intelligent,

autonomous agent-based systems and guide a team of engineers in building them.

Job Responsibilities:

Build end-to-end Agentic AI solutions - develop, refine, and implement advanced Agentic AI

models and ensure the success delivery of projects. Utilize managed AI service, Microsoft

Copilot Studio, OpenAI, Github Copilot, Lang Graph Google Vertex AI, AutoGen, CrewAI,

Python, MCP etc. for rapid development.

Work on prompt engineering, RAG, LLM fine-tuning, and deployment workflows. Design,

build, and optimize machine learning and deep learning models including regression,

classification, extraction, and NLP-based solutions using neural networks (ANN, CNN, RNN,

LSTM).

Translate business problems into end-to-end ML/AI system designs, considering scalability,

performance, reliability, and cost. Continuously evaluate emerging AI/ML techniques and

frameworks and recommend adoption where they add measurable value.

Ensure AI solutions follow responsible AI principles, including model explainability, data

privacy, and performance monitoring.

Required Skills and Qualifications

 6+ years of experience in full stack development & hands-on Agentic AI experience

 Strong expertise in frontend frameworks (React, Typescript, or equivalent).

 Strong backend experience with .NET / Node.js / Python (Preferred).

 Solid understanding of REST APIs, microservices, and system design.

 Strong foundation in machine learning and data science, including regression,

classification, feature engineering, model evaluation, and neural networks (ANN,

CNN, RNN, LSTM).

 Hands-on Experience with NLP and transformer-based models, including encoder,

decoder, and encoder–decoder architectures.

Company

Confidential

 Practical expertise in Generative AI solutions, including Retrieval-Augmented

Generation (RAG), embeddings, and grounding LLMs with enterprise data.

 Hands-on knowledge of agentic AI frameworks such as Microsoft Copilot

Studio,LangChain and LangGraph, including agent orchestration, tool usage,

memory, and multi-step reasoning.

 Strong prompt engineering skills to optimize accuracy, consistency, and

controllability of LLM outputs.

 Ability to design and implement end-to-end ML/AI systems, focusing on scalability,

performance, reliability, and integration with production applications.

 Experience collaborating across teams to translate business problems into effective

AI-driven solutions.

 Proven experience leading technical teams or projects

 Strong problem-solving and decision-making skills

 Excellent communication and stakeholder management abilities

 Ability to mentor and grow engineer.

 Nice to have Supply Chain Knowledge.

A successful person in this position must have -

• Strong technical skills to contribute as an engineer across a broad technology stack, from

novel software development and operations to automated testing and integration with

third-party services and tools. This work is done across teams and across legacy and modern

codebases.

• Ability to lead multiple tasks and projects simultaneously, prioritize workload effectively,

participate in ad-hoc meetings for problem solving and thrive in a dynamic environment.

• Attention to detail, a high bar for quality, ability to solve problems independently, make

sound decisions, and a desire to learn and grow.

• Strong interpersonal skills to be able to connect to a variety of styles and dynamics across

teams; these skills are essential to thrive in this highly collaborative environment.

• Design, develop and maintain web applications, APIs and/or microservices in accordance

with industry best practices while leveraging agile/scrum development methodology.

• Create performant database applications following database best practices and writing

efficient SQL queries.

• Partner with core engineering teams to build and integrate shared components.

• Collaborate with product managers/owners, business analysts and UX team to deliver

exceptional customer experiences.

Company

Confidential

• Develop and administer CI/CD pipelines in cloud-hosted Git repositories, and source

control artifacts via Git in alignment with common branching strategies and workflows.

• Participate in technical and non-technical reviews such as pull requests and change control

in a collaborative manner.

• Communicate clearly and effectively in both oral and written mediums with individuals

and groups.

Administrative Duties

 Engage in professional development opportunities and share knowledge.

 Stay up to date with industry and institutional trends and best practices.

 Become familiar with research administration to help streamline supporting business

processes.