Artificial Intelligence Engineer

8 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Title: Senior AI Software Engineer

Location: India (Remote/Hybrid)

Supporting U.S.-based enterprise clients in India

Position type:- Full time

Travel in India: 25% to 50% Time


Experience

8+ years

3+ years


Role Overview

Senior AI Engineer

applied AI

You will work closely with product leaders, solution architects, and client stakeholders to translate business problems into reliable AI-powered systems.


Key Responsibilities

AI & Engineering

  • Design, develop, and deploy

    AI-driven applications

    using LLMs, APIs, and agent frameworks
  • Build

    scalable backend services

    supporting AI workflows and automation
  • Integrate AI solutions with existing enterprise systems, APIs, and data sources
  • Optimize performance, reliability, and cost of AI systems in production
  • Implement guardrails, monitoring, logging, and evaluation for AI outputs

Architecture & Delivery

  • Contribute to

    solution architecture

    and technical design decisions
  • Lead end-to-end implementation from prototype to production
  • Ensure security, compliance, and data privacy best practices
  • Review code, mentor engineers, and enforce engineering standards

Collaboration & Enablement

  • Work with client teams to understand requirements and use cases
  • Support onboarding, knowledge transfer, and technical documentation
  • Collaborate with AI Enablement Engineers, product managers, and DevOps teams


Required Qualifications

Core Requirements

  • Bachelor’s or Master’s degree in Computer Science or Engineering from Top universities in India
  • Minimum of

    8 years’ experience

    as software engineer in development and/or consulting role
  • Strong programming skills

    in Python and/or Java and/or JavaScript/TypeScript
  • Experience building production-ready backend systems (REST APIs, microservices)
  • Hands-on experience with

    LLMs

    (OpenAI, Anthropic, open-source models, etc.)
  • Solid understanding of software architecture, data structures, and system design

AI / ML Experience

  • Experience with one or more of the following:
  • LLM orchestration frameworks (LangChain, similar)
  • Agent-based systems and workflow automation
  • Prompt engineering and evaluation
  • Vector databases and embeddings
  • Practical understanding of ML concepts (training is a plus, not mandatory)


Preferred / Nice-to-Have Skills

  • Experience deploying AI systems on AWS, Azure, or GCP
  • Familiarity with CI/CD, Docker, Kubernetes
  • Startup or fast-paced product environment experience
  • Experience working directly with enterprise or global clients
  • Exposure to AI governance, safety, or compliance frameworks


Soft Skills

  • Strong problem-solving and analytical skills
  • Clear written and verbal communication
  • Ability to work independently and take ownership
  • Comfortable collaborating across time zones
  • Mentoring mindset and leadership capability


What We Offer

  • Opportunity to work on

    cutting-edge applied AI projects

  • Exposure to U.S. enterprise clients and global delivery
  • Competitive compensation
  • Long-term growth and leadership opportunities

Flexible work environment

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