Artificial Intelligence Engineer

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