Fullstack AI/ML Engineer

Apexon; Pune District; On-site; INR 2,000,000 - 4,200,000; Full time

Benefits offered by this job

Group Health Insurance covering family

Job summary

Apexon is seeking a hands-on Full Stack AI/ML Engineer to design, build, deploy, and operate production-grade AI/ML and agentic AI applications on AWS. You will own the full stack from React frontends to Python backends, including agent orchestration, data integration, and production support.

The ideal candidate brings strong Python and frontend skills, deep AWS expertise, and hands-on experience with Bedrock AgentCore and LangChain/Strands Agents to deliver enterprise-grade AI solutions.

Qualifications

• Strong full-stack engineering experience delivering enterprise-grade applications in production.
• Advanced Python development experience with frameworks such as FastAPI.
• Strong React and TypeScript development skills.
• Hands-on experience building AI-enabled web applications, conversational interfaces, analytics experiences, or operational dashboards.
• Deep practical experience with AWS application architecture, deployment, integration, and production operations.
• Demonstrable hands-on experience with Amazon Bedrock AgentCore.
• Experience with Strands Agents and/or LangChain.
• Experience integrating Amazon Bedrock foundation models into enterprise applications.
• Practical understanding of Agentic AI patterns, including: Single-agent and multi-agent orchestration, Tool use and routing, Planning and task decomposition, Structured outputs, Memory and session state and Human-in-the-loop approvals
• Deterministic workflow controls
• Hands-on experience implementing RAG and enterprise grounding solutions.
• Experience with retrieval strategies, chunking, metadata filtering, citations, relevance controls, and AI evaluation.
• Experience designing and integrating RESTful APIs.

Responsibilities

• Develop end-to-end AI applications covering frontend, backend, agent orchestration, databases, AWS infrastructure, and deployment.
• Build responsive AI experiences using React and TypeScript, including conversational copilots, dashboards, citations, feedback, and approval workflows.
• Integrate applications with AI backends using REST APIs, WebSockets, or SSE for token streaming and real-time status updates.
• Build single-agent and multi-agent workflows using Amazon Bedrock AgentCore and Strands Agents and/or LangChain.
• Implement RAG, enterprise grounding, tool use, memory, structured outputs, human approvals, and AI evaluation.
• Develop typed and testable Python services using FastAPI and production patterns such as async I/O, caching, retries, rate limiting, and idempotency.
• Design relational data models and securely integrate applications with Amazon RDS and/or Aurora.
• Monitor, troubleshoot, optimize, and support applications in production.

Skills

Full-stack

Python

React & TS

AWS

Bedrock AgentCore

LangChain

Strands Agents

REST APIs

WebSockets

AI Web Apps

Data Integration

Security & Auth

Tools

FastAPI

PostgreSQL

Amazon Bedrock

LangChain

Strands Agents

React

TypeScript

WebSockets

SSE

RDS/Aurora

Job description

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

We are seeking a hands-on Full Stack AI/ML Engineer to design, build, deploy, and operate production-grade AI/ML and Agentic AI applications on AWS. This role requires complete ownership across the application stack, including React-based user experiences, Python backend services, agent orchestration, enterprise data integration, databases, cloud infrastructure, deployment, and production support. The ideal candidate has successfully delivered enterprise applications in which web interfaces interact with APIs, LLMs, AI agents, enterprise data sources, and transactional or analytical databases. The engineer will bring strong Python and modern frontend development capabilities, deep AWS expertise, practical database engineering experience, and demonstrable hands-on exposure to Amazon Bedrock AgentCore and agentic frameworks such as Strands Agents and/or LangChain.

Key Responsibilities

Develop end-to-end AI applications covering frontend, backend, agent orchestration, databases, AWS infrastructure, and deployment.

Build responsive AI experiences using React and TypeScript, including conversational copilots, dashboards, citations, feedback, and approval workflows.

Integrate applications with AI backends using REST APIs, WebSockets, or SSE for token streaming and real-time status updates.

Build single-agent and multi-agent workflows using Amazon Bedrock AgentCore and Strands Agents and/or LangChain.

Implement RAG, enterprise grounding, tool use, memory, structured outputs, human approvals, and AI evaluation.

Develop typed and testable Python services using FastAPI and production patterns such as async I/O, caching, retries, rate limiting, and idempotency.

Design relational data models and securely integrate applications with Amazon RDS and/or Aurora.

Monitor, troubleshoot, optimize, and support applications in production.

Mandatory Skills Required

Strong full-stack engineering experience delivering enterprise-grade applications in production.

Advanced Python development experience with frameworks such as FastAPI.

Strong React and TypeScript development skills.

Hands-on experience building AI-enabled web applications, conversational interfaces, analytics experiences, or operational dashboards.

Deep practical experience with AWS application architecture, deployment, integration, and production operations.

Demonstrable hands-on experience with Amazon Bedrock AgentCore.

Experience with Strands Agents and/or LangChain.

Experience integrating Amazon Bedrock foundation models into enterprise applications.

Practical understanding of Agentic AI patterns, including: Single-agent and multi-agent orchestration, Tool use and routing, Planning and task decomposition, Structured outputs, Memory and session state and Human-in-the-loop approvals

Deterministic workflow controls

Hands-on experience implementing RAG and enterprise grounding solutions.

Experience with retrieval strategies, chunking, metadata filtering, citations, relevance controls, and AI evaluation.

Experience designing and integrating RESTful APIs.

Experience with real-time or asynchronous communication patterns such as WebSockets, SSE, background processing, or event-driven interfaces.

Strong understanding of authentication, authorization, API security, validation, versioning, error handling, and backward compatibility.

Practical relational database engineering experience, including schemas, tables, indexes, constraints, views, and data modeling.

Experience connecting applications securely to Amazon RDS and/or Amazon Aurora.

Experience applying production backend patterns such as async I/O, connection pooling, caching, retries, rate limiting, concurrency control, idempotency, and structured error handling.

Experience with AI quality and operational controls, including prompt management, evaluation, hallucination checks, grounding validation, regression testing, feedback capture, and observability.

Strong debugging, performance analysis, root-cause analysis, code review, testing, and production support capabilities.

Ability to translate architecture documents, HLD/LLD, API specifications, UX designs, and workflow requirements into production-ready software.

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 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