Junior GenAI Full Stack Engineer – Agentic AI & RAG

Apexon; Ahmedabad District; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Group Health Insurance for family of 4

Term Insurance and Accident Insurance

Paid Holidays & Earned Leaves

Employee Wellness

Job summary

Apexon, an AI‑first technology services firm, is seeking a Junior GenAI Full Stack Engineer to build production‑grade GenAI applications and client prototypes within Apexon Labs. You will lead full‑stack development across Python, web frameworks, RAG, and agentic AI, while setting standards for evaluation, guardrails, observability, and production readiness.

You will focus on building solutions using foundation models, with no training or fine‑tuning of foundation models as part of this role.

Qualifications

• 3–5 years of full‑stack engineering experience, primarily using Python.
• Production experience with FastAPI or an equivalent Python framework.
• Strong knowledge of data structures and web application development.
• Hands‑on experience with React, Angular, or an equivalent front‑end framework.
• At least 2 years of experience building enterprise‑scale, production‑grade LLM applications.
• Deep RAG experience using Qdrant or pgvector, including hybrid search, re‑ranking, metadata filtering, and complex‑document parsing.
• Experience shipping tool‑using or multi‑agent systems using LangGraph and LangChain, or equivalent frameworks.
• Experience building or integrating Model Context Protocol servers.
• Hands‑on experience with Azure AI Foundry or AWS Bedrock.
• Experience implementing LLM evaluation, tracing, and production observability.
• Experience with GitHub, GitLab, or Bitbucket.
• Hands‑on use of an AI coding assistant such as GitHub Copilot, Claude Code, Kiro, or Cursor.
• Familiarity with spec‑driven development using GitHub Spec Kit, Kiro, or similar tools.
• Strong hands‑on engineering, client collaboration, and technical mentoring capabilities.

Responsibilities

• Lead the architecture and development of GenAI prototypes and proofs of concept, with a clear path to production.
• Shape Apexon’s GenAI platforms and accelerators, converting repeatable client patterns into reusable IP.
• Select appropriate architectures, including deterministic workflows, single‑agent systems, and multi‑agent systems.
• Build enterprise RAG and agentic applications that integrate securely with business data and tools.
• Establish standards for LLM evaluation, tracing, guardrails, observability, reliability, and cost efficiency.
• Track emerging AI technologies, conduct structured experiments, and recommend tools and patterns for adoption.
• Partner with client and delivery teams to deploy prototypes and accelerators successfully.
• Mentor engineers through technical design, code reviews, pairing, and knowledge‑sharing sessions.

Skills

Python

FastAPI

React

LLM

LangGraph

LangChain

Azure AI Foundry

AWS Bedrock

GitHub

Copilot

Kiro

Spec Kit

Git

Tools

Qdrant

pgvector

LangGraph

LangChain

GitHub

GitLab

Bitbucket

Azure AI Foundry

AWS Bedrock

Job description

Junior GenAI Full Stack Engineer – Agentic AI & RAG

Apexon is an AI-first technology services firm that engineers Intelligent Enterprises. Our interconnected disciplines of Domain & Strategy, Cognitive Architecture, and Harness Engineering guide every engagement, helping clients deliver meaningful business outcomes while applying collective intelligence to confidently scale from early AI strategies to enterprise‑grade production systems. For over three decades, we have helped organizations by leveraging our deep and practical expertise in Artificial Intelligence, Data & Analytics, Digital Engineering, and Experience, combined with our industry knowledge across Banking & Financial Services, Healthcare and Life Sciences to create lasting business value. Apexon is backed by Goldman Sachs Asset Management and Everstone Capital..

Role Summary

Role: Junior GenAI Full Stack Engineer – Agentic AI & RAG

Experience: 3-5 years

Team: Apexon Labs

Join Apexon Labs to build production‑grade GenAI applications, client prototypes, and reusable AI accelerators. You will lead full‑stack engineering across Python, modern web frameworks, RAG, and agentic AI while establishing standards for evaluation, guardrails, observability, and production readiness.

This is an application engineering role focused on building solutions using foundation models. Training or fine‑tuning foundation models and classical machine learning are not part of the role.

Key Responsibilities

• Lead the architecture and development of GenAI prototypes and proofs of concept, with a clear path to production.
• Shape Apexon’s GenAI platforms and accelerators, converting repeatable client patterns into reusable IP.
• Select appropriate architectures, including deterministic workflows, single‑agent systems, and multi‑agent systems.
• Build enterprise RAG and agentic applications that integrate securely with business data and tools.
• Establish standards for LLM evaluation, tracing, guardrails, observability, reliability, and cost efficiency.
• Track emerging AI technologies, conduct structured experiments, and recommend tools and patterns for adoption.
• Partner with client and delivery teams to deploy prototypes and accelerators successfully.
• Mentor engineers through technical design, code reviews, pairing, and knowledge‑sharing sessions.

Mandatory Skills Required

• 3–5 years of full‑stack engineering experience, primarily using Python.
• Production experience with FastAPI or an equivalent Python framework.
• Strong knowledge of data structures and web application development.
• Hands‑on experience with React, Angular, or an equivalent front‑end framework.
• At least 2 years of experience building enterprise‑scale, production‑grade LLM applications.
• Deep RAG experience using Qdrant or pgvector, including hybrid search, re‑ranking, metadata filtering, and complex‑document parsing.
• Experience shipping tool‑using or multi‑agent systems using LangGraph and LangChain, or equivalent frameworks.
• Experience building or integrating Model Context Protocol servers.
• Hands‑on experience with Azure AI Foundry or AWS Bedrock.
• Experience implementing LLM evaluation, tracing, and production observability.
• Experience with GitHub, GitLab, or Bitbucket.
• Hands‑on use of an AI coding assistant such as GitHub Copilot, Claude Code, Kiro, or Cursor.
• Familiarity with spec‑driven development using GitHub Spec Kit, Kiro, or similar tools.
• Strong hands‑on engineering, client collaboration, and technical mentoring capabilities.

Nice to Have Skills

• Agent‑memory design using Mem0.
• Running open models locally with Ollama.
• Claude Agent SDK, OpenAI Agents SDK, or other agent frameworks.
• Token‑cost and latency optimization through caching, streaming, or model routing.
• Docker, CI/CD, and deployment on AWS, Azure, or GCP.
• Experience in healthcare, financial services, or another regulated industry.
• Technical knowledge sharing through talks, blogs, demonstrations, or internal sessions.

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 on apexon.com.

Our Commitment to Environment

Actively contribute to Apexon's commitment to environmental responsibility by following sustainable practices and supporting ESG initiatives.

Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience, and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill‑based development, opportunities for career advancement, and access to comprehensive health and well‑being benefits and assistance.

We also offer:

• Group Health Insurance covering family of 4
• Term Insurance and Accident Insurance
• Paid Holidays & Earned Leaves
• Employee Wellness

Recruitment Fraud Notice

Note: Apexon does not request or accept any fees or payments from candidates at any stage of recruitment, including interviews, offer letters or training. Any such payment request is unauthorized and is not made on behalf of Apexon. Candidates are advised to verify recruitment communications through Apexon’s office