AI Engineer

1 years

1 - 4 Lacs

Posted:17 hours ago| Platform: GlassDoor logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Description – AI Engineer (Hybrid, Jammu)

Company: Xelera.ai

Location: Jammu - Hybrid

Role Type: Full-time

Experience Level: 1–4 years (flexible for strong portfolios / GitHub work)

About Xelera.ai

Xelera.ai is an AI-powered IT services company focused on helping SMBs automate and modernize their internal processes. We leverage advanced agentic AI, workflow automation, and custom LLM integrations to eliminate repetitive tasks and help businesses operate smarter and faster.

We are building a next-generation AI engineering team and are looking for a passionate AI Engineer to join us in Jammu.

Role Overview

As an AI Engineer at Xelera.ai, you will play a central role in building next-generation AI-powered automation solutions for small and mid-size businesses. This is a high-impact engineering role where you will work on real, revenue-generating projects and solve meaningful business problems using modern Large Language Models and agentic AI frameworks.

Your responsibilities will go beyond basic coding—you will architect and implement AI-driven workflows, design autonomous multi-agent systems, and integrate AI capabilities directly into customer environments.

In this role, you will:

  • Work closely with the tech lead and founders to translate customer challenges into technical AI workflows.
  • Build intelligent agents that can understand tasks, reason, plan actions, call APIs, and execute goal-oriented workflows autonomously.
  • Use frameworks like OpenAI SDK, LangChain, CrewAI, LlamaIndex, LangGraph, LangChain to construct multi-agent systems, tool-enabled agents, and retrieval-based pipelines.
  • Architect and implement RAG (Retrieval Augmented Generation) flows that allow AI to work with customer-specific data accurately and safely.
  • Build automation solutions for various industries (e-commerce, logistics, real estate, healthcare, IT services, financial services, manufacturing, and more).
  • Participate directly in customer meetings to understand manual workflows, identify inefficiencies, and propose AI-driven automation strategies.
  • Develop end-to-end prototypes and MVPs rapidly covering requirements gathering, solution design, Python development, testing, deployment, and continuous improvement.
  • Contribute to the creation of reusable internal AI modules, accelerators, and frameworks that Xelera.ai can leverage across clients.
  • Continuously research and experiment with the newest AI models, APIs, and Agentic capabilities to keep Xelera.ai at the forefront of innovation.

This position is ideal for someone who enjoys autonomy, experimentation, and solving practical business challenges with AI. You will grow with the company as one of the earliest engineering members and help shape our core technical foundation.

Key Responsibilities

AI Engineering & Development

  • Build agentic AI workflows using OpenAI Python SDK, LangChain, CrewAI, LlamaIndex, or similar frameworks.
  • Implement multi-agent systems, RAG pipelines, function-calling agents, and multi-step orchestration flows.
  • Write clean, scalable Python code following best engineering practices.
  • Perform prompt engineering, model optimization, and reasoning improvements.

Customer-Focused Solutioning

  • Understand customer processes by analyzing documents, meetings, and existing tools.
  • Identify automation opportunities and convert them into technical designs.
  • Build rapid prototypes/MVPs and iterate based on user feedback.
  • Document architecture, data flows, and solution behavior clearly.

Integration & Automation

  • Integrate AI agents with CRMs, ERPs, communication platforms, and third-party applications via REST APIs.
  • Work with vector databases such as Pinecone, Chroma, Weaviate, or Qdrant.
  • Build reusable internal components for future AI automations.

Quality & Collaboration

  • Collaborate with the tech lead to ensure solution quality, scalability, and reliability.
  • Participate in code reviews, architecture discussions, and internal R&D.
  • Maintain clean code, documentation, and version control discipline.

Required Skills & Experience

Technical Must-Haves

  • Strong Python programming skills (OOP, async programming, API integrations).
  • Experience with any of the following:
  • OpenAI Python SDK
  • LangChain
  • CrewAI
  • LlamaIndex
  • Understanding of LLM fundamentals: tokens, embeddings, context windows, vector search, temperature, prompting strategies.
  • Experience working with REST APIs and JSON.
  • Ability to prototype quickly and build functional solutions independently.

Good-to-Have Skills

  • Hands-on experience with Pinecone / Chroma / Weaviate / Qdrant.
  • Experience with workflow automation tools (Zapier, Make, Slack bots, WhatsApp bots).
  • Exposure to cloud services (AWS, Azure, GCP).
  • Basic frontend experience (React, Next.js) is a plus but not mandatory.
  • Familiarity with Git, Docker, and DevOps basics
  • Knowledge of multimodal models (text + image + video)
  • GPU usage basics (NVIDIA stack, CUDA fundamentals)

Soft Skills

  • Strong analytical and problem-solving abilities.
  • Clear communication skills for working with non-technical business users.
  • Self-starter mentality with ownership over deliverables.
  • Ability to work effectively in a hybrid team environment.
  • Curiosity and passion for learning emerging AI tools and techniques.

Educational Background

  • B.Tech / B.E. / BCA / MCA / M.Tech preferred, but not mandatory if skills and project portfolio are strong.

What Xelera.ai Offers

  • Competitive salary.
  • Direct exposure to global AI implementation projects from Day 1.
  • Fast-paced startup culture with immense learning opportunities.
  • Mentorship from experienced AI engineers and founders.
  • Access to cutting-edge AI frameworks, APIs, and tooling.
  • Ability to contribute to reusable IP and core technology of Xelera.ai.

Job Types: Full-time, Permanent

Pay: ₹15,000.00 - ₹40,000.00 per month

Work Location: Remote

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