AI Engineer | 5+ Years

Apexon; Bengaluru; On-site; INR 2,800,000 - 4,800,000; Full time

Benefits offered by this job

Group Health Insurance covering family

Term Insurance and Accident Insurance

Paid Holidays & Earned Leaves

Paid Parental Leave

Learning & Career Development

Employee Wellness

Job summary

Apexon is seeking hands-on AI Engineers to build GenAI and Agentic AI solutions for enterprise workflows in Bangalore. The role emphasizes AI-assisted exception classification, root-cause analysis, and workflow orchestration across large-scale data environments.

Strong Python, SQL, API and software engineering fundamentals are essential, with practical experience building LLM applications and agentic workflows. Collaborative culture and production-grade practices are required.

Qualifications

• 5+ years of professional software/AI engineering experience.
• Hands-on Python development experience.
• Experience building LLM/GenAI applications beyond proofs of concept.
• Experience implementing agentic workflows and orchestration.
• Strong analytical and problem-solving skills.
• Ability to collaborate across onshore/offshore teams.
• Bachelor's or Master's degree in CS/Engineering/AI/Data Science preferred.

Responsibilities

• Build AI workflows for exception classification, triage, root-cause analysis, impact assessment and remediation recommendations.
• Develop agentic workflows involving orchestration, tool/function calling, state management and human-in-the-loop validation.
• Correlate new exceptions with historical issues, known root causes, business rules and transaction/data attributes.
• Build Python and SQL-based services to query, transform and analyze structured enterprise datasets.
• Integrate AI applications with enterprise APIs, databases, workflow/ticketing platforms and internal data sources.
• Develop reusable tools and services that AI agents can invoke for retrieval, investigation, analysis and workflow execution.
• Apply RAG/context retrieval where regulatory documents, historical knowledge or issue repositories need to be searched.
• Implement confidence scoring, validation, guardrails and traceability for AI-generated outcomes.
• Build backend services and APIs using Python/FastAPI.
• Implement testing, logging, evaluation, observability, exception handling and production engineering practices.
• Collaborate with onshore AI engineers, architects, business analysts, data engineers and application teams.

Skills

Python programming

LLM / GenAI development

Agentic AI / Workflow Orchestration

APIs / FastAPI

Git / Software Engineering

RAG / Retrieval

Structured Data Processing

Problem Solving / Root-Cause Analysis

SQL / Data Analysis

API Integration

Education

Bachelor's or Master's in CS/Engineering/AI/Data Science

Tools

LangGraph

Google ADK

CrewAI

AutoGen

Semantic Kernel

Job description

Role : AI Engineer GenAI & Agentic AI

• Experience: 5+ Years
• Location: Bangalore
• Working days - 5 days WFO

Role Overview-

We are looking for hands‑on AI Engineers to build enterprise‑grade GenAI and Agentic AI solutions for complex financial‑services workflows. The role will focus on AI‑assisted exception classification, root‑cause analysis, impact assessment, workflow orchestration and remediation across large‑scale transaction and data‑processing environments.The engineer will work with structured and unstructured enterprise data, historical issues, workflow/ticketing systems, business rules and operational context. Strong Python, SQL, API and software‑engineering fundamentals are essential, along with practical experience building LLM and agentic AI applications.

Key Responsibilities

• Build AI workflows for exception classification, triage, root‑cause analysis, impact assessment and remediation recommendations.
• Develop agentic workflows involving orchestration, tool/function calling, state management and human‑in‑the‑loop validation.
• Correlate new exceptions with historical issues, known root causes, business rules and transaction/data attributes.
• Build Python and SQL‑based services to query, transform and analyze structured enterprise datasets.
• Integrate AI applications with enterprise APIs, databases, workflow/ticketing platforms and internal data sources.
• Develop reusable tools and services that AI agents can invoke for retrieval, investigation, analysis and workflow execution.
• Apply RAG/context retrieval where regulatory documents, historical knowledge or issue repositories need to be searched.
• Implement confidence scoring, validation, guardrails and traceability for AI‑generated outcomes.
• Build backend services and APIs using Python/FastAPI.
• Implement testing, logging, evaluation, observability, exception handling and production engineering practices.
• Collaborate with onshore AI engineers, architects, business analysts, data engineers and application teams.

Required Skills

• Python
• SQL & Data Analysis
• GenAI / LLM Application Development
• Agentic AI / Workflow Orchestration
• APIs / FastAPI
• Tool / Function Calling
• Structured Data Processing
• Problem Solving / Root‑Cause Analysis
• Git / Software Engineering
• RAG / Retrieval
• LLM Evaluation / Guardrails

Cloud Agentic AI Experience

Hands‑on experience with at least one agent/workflow orchestration framework such as LangGraph, Google ADK, CrewAI, AutoGen, Semantic Kernel, or an equivalent custom framework.Candidates should understand how to implement workflows such as:

• Input
• Classification
• Tool/Data Retrieval
• Investigation
• Reasoning
• Validation
• Action

Preferred Domain Experience

• Financial‑services experience is preferred but not mandatory.
• Exposure to Regulatory Reporting, Capital Markets, trade lifecycle, post‑trade processing, transaction reporting, reconciliations, exception management, risk or controls will be advantageous.
• Familiarity with regulations such as EMIR, MiFID II or SFTR is a plus.

Nice to Have

• Model Context Protocol (MCP) and reusable agent tool interfaces.
• Knowledge Graph / Graph RAG or data‑lineage concepts.
• Vector databases, hybrid search or re‑ranking.
• AI observability and evaluation frameworks.
• Spec‑Driven Development (SDD): ability to translate business/technical requirements into clear specifications, tasks and acceptance criteria before implementation.
• Experience using Claude Code or equivalent AI coding assistants within disciplined software‑engineering practices.
• Basic React or frontend integration experience.

Qualifications

• 5+ years of professional experience in software engineering, AI/ML engineering, data engineering, GenAI or related roles.
• Strong hands‑on Python development experience.
• Demonstrated experience building LLM/GenAI applications beyond proof‑of‑concept chatbots.
• Practical experience implementing agentic workflows, tools or orchestration.
• Strong analytical, debugging and problem‑solving skills.
• Ability to collaborate effectively across onshore/offshore engineering and business teams.
• Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science or a related discipline preferred.

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 (apexon.com)

Our Commitment to Environment:

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

Our Perks and Benefits:

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
• Paid Parental Leave
• Learning & Career Development
• Employee Wellness