Immediate requriment For AI-Native Engineer / AI Agent Engineer

AI-Native Engineer / AI Agent Engineer

Location: Hyderabad, India
Experience: 02 years; Freshers and final-year students welcome
Department: AI / Engineering
Employment Type: Full-time

Role Summary

We are looking for a curious AI-Native Engineer / AI Agent Engineer to build practical AI solutions for financial products and internal business teams. You will work on AI agents, automation, LLM integrations, RAG applications, and AI-powered workflows.

What You Will Do

• Build AI assistants, AI agents, and automation workflows.
• Integrate LLMs with APIs, databases, and internal systems.
• Build agents that can retrieve information, reason through tasks, and securely call tools and APIs.
• Develop RAG applications using product documentation, policies, and company knowledge.
• Build AI capabilities for banking, wallets, exchange, cards, payments, KYC/KYB, and compliance.
• Build internal AI tools for:
  
• Code review and documentation
• Debugging and test generation
• QA and regression testing
• Infrastructure and DevOps support
• Customer support
• Business operations and reporting
• Automate workflows such as support triage, onboarding, reconciliation, and partner integrations.
• Create AI evaluation, monitoring, guardrails, audit logs, and human-approval workflows.
• Research new AI models and agent frameworks and turn useful ideas into working products.
• Work closely with product managers, developers, designers, testers, compliance, and operations teams.

Required Skills

• Strong programming fundamentals, preferably in Python.
• Basic knowledge of JavaScript or TypeScript.
• Understanding of LLMs and Generative AI.
• Prompt engineering and structured outputs.
• Function calling and tool calling.
• Basic understanding of AI agents and agentic workflows.
• RAG, embeddings, and vector databases.
• REST APIs, JSON, webhooks, Git, SQL, and basic backend development.
• Understanding of authentication and authorization.
• Ability to write basic unit and integration tests.
• Good problem-solving, communication, and learning skills.

Good to Have

• FastAPI, Pydantic, PostgreSQL, or pgvector.
• LangGraph, LangChain, LlamaIndex, or Semantic Kernel.
• OpenAI, Anthropic, Gemini, or open-source model APIs.
• MCP servers and workflow orchestration.
• React and TypeScript.
• Docker, CI/CD, GitHub Actions, AWS, or Redis.
• AI evaluation and observability tools such as Langfuse or OpenTelemetry.
• Basic understanding of data privacy, PII protection, prompt injection, AI security, and audit logging.
• Interest in fintech, banking, payments, crypto, compliance, or financial products.

Who We Are Looking For

Freshers and early-career engineers with:

• AI, ML, Computer Science, or IT backgrounds.
• Strong programming fundamentals.
• Curiosity about AI and emerging technologies.
• Good analytical and problem-solving skills.
• Ability to learn quickly and work independently.
• Personal, academic, internship, hackathon, or open-source AI projects.

Strong Advantage If You Have Built

• An AI agent
• A RAG application
• An AI chatbot connected to APIs
• An AI coding assistant
• An AI QA or testing tool
• Any tool-calling or workflow-automation application

What We Value

We value practical skills and problem-solving more than certificates. You should be able to explain how you would use AI to solve a business problemand when traditional software, rules, or human approval would be safer.

This is not a traditional machine-learning research role. You will build and integrate AI into real-world products and business processes at the intersection of:

AI + Agents + Banking + Crypto + Payments + Compliance + Automation

Key Skills

Python, LLMs, Generative AI, AI Agents, RAG, Prompt Engineering, Tool Calling, REST APIs, Vector Databases, LangGraph, LangChain, AI Automation, AI Security