Overview
Skills
Job Details
Job Title: Senior AI Engineer(India)
Location: India (Remote / Hybrid)
Supporting U.S.-based enterprise clients in India
Travel in India: 25% to 50% Time
Note- Consultant must be located in India
Experience
8+ years overall software engineering experience
3+ years hands-on experience in AI / ML / LLM-based systems
Role Overview
We are seeking a Senior AI Engineer to design, build, and deploy production-grade AI solutions for enterprise clients.
This role focuses on applied AI, including LLM integrations, agent-based systems, automation workflows, and scalable backend services.
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 Google Cloud Platform
- 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