Senior Agentic AI Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 5 months ago
5-7 years
Bengaluru / Bangalore, Karnataka
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 5 months ago
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Job Description

About the Company

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. We enable #HumanFirstDigital

About the Role

We are looking for a highly skilled Agentic AI Engineer to design, build, and integrate enterprise-grade autonomous AI systems leveraging modern agent orchestration frameworks, cloud-native architectures, and real-time integrations. The ideal candidate will have deep expertise in Agentic AI frameworks, backend engineering, and multi-agent orchestration, with hands-on experience integrating AI agents into enterprise platforms and workflows. This role will contribute to the development of scalable, secure, and production-ready AI ecosystems capable of intelligent decision-making and workflow automation.

Responsibilities

Agentic AI Development

  • Design and develop autonomous and multi-agent AI systems using frameworks such as Google ADK (preferred), LangChain, and LangGraph.
  • Build intelligent workflows for reasoning, task execution, tool usage, and contextual decision-making.
  • Develop reusable agent patterns, orchestration layers, and memory/context management strategies.

AI Integration & Orchestration

  • Implement Agent-to-Agent (A2A) orchestration patterns for complex enterprise workflows.
  • Integrate AI agents with enterprise platforms such as Genesys, GECX, and other external systems.
  • Leverage MCP (Model Context Protocol) to connect agents with external tools, APIs, databases, and knowledge systems.

Backend & API Engineering

  • Develop high-performance backend services and agentic gateways using Python and FastAPI.
  • Build scalable APIs and microservices to support real-time AI interactions and orchestration.
  • Ensure system reliability, observability, security, and performance optimization.

Cloud & Infrastructure

  • Architect and deploy cloud-native AI solutions on Google Cloud Platform (preferred) or AWS.
  • Utilize services such as:
  • GCP: Vertex AI, Cloud Run, Pub/Sub, BigQuery, Cloud Logging, Cloud Tracing, Load Balancer
  • AWS: Bedrock, AgentCore, AgentCore Gateway, Lambda
  • Implement scalable deployment pipelines and monitoring frameworks for production AI systems.

Qualifications

  • Advanced experience with Google ADK, LangChain, or LangGraph.
  • Strong understanding of MCP (Model Context Protocol) and AI tool integration architectures.
  • Proven expertise in A2A orchestration and enterprise AI integrations.
  • Deep proficiency in Python and FastAPI.
  • Hands-on experience with GCP or AWS cloud-native AI services.

Required Skills

  • 5+ years of software engineering experience with strong backend development expertise.
  • 2+ years of hands-on experience building AI/LLM-powered applications or agentic systems.
  • Experience deploying scalable AI solutions in enterprise environments.

Preferred Skills

  • Exposure to Retrieval-Augmented Generation (RAG), vector databases, and memory architectures.
  • Experience with observability, tracing, and AI monitoring tools.
  • Familiarity with event-driven and distributed architectures.
  • Strong problem-solving mindset with ability to work in fast-evolving AI ecosystems.

Pay range and compensation package: Our benefits and rewards program has been thoughtfully designed to recognise 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

Equal Opportunity Statement: Did you know that Apexon has been Certifiedtrade mark by Great Place To Workregistered, 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.

Our Commitment to Environment: Actively contribute to Apexons commitment to environmental responsibility by following sustainable practices and supporting ESG initiatives.

Skills

PythonBusiness TransformationAi EngineerAnalyticsAiGoogle Cloud

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