Artificial Intelligence Engineer

ThoughtSol Infotech Ltd.; Dadri; Remote; INR 3,000,000 - 5,000,000; Full time

Benefits offered by this job

Equity participation

Performance bonuses

Remote options

Professional development

Job summary

ThoughtSol Infotech Ltd. in India seeks a Senior Artificial Intelligence Engineer to lead generative AI initiatives, design production-grade LLM solutions, and mentor a team of AI engineers.

You will collaborate with product teams to translate requirements into technical roadmaps, evaluate models, and ensure scalable deployments with responsible AI practices, shaping our AI product strategy and architecture. Remote options available and a competitive package.

Qualifications

• 4+ years in generative AI or related AI/ML fields.
• Experience with LLMs, prompt engineering, RAG, or finetuning.
• Strong software engineering fundamentals: Python, system design, API integration, deployment pipelines.
• Experience leading or mentoring technical teams.
• Experience with genAI platforms/APIs (OpenAI GPT, Claude, Hugging Face, Azure OpenAI).
• Ability to communicate complex ideas to non-technical stakeholders.

Responsibilities

• Lead and mentor a team of AI/ML engineers; foster innovation and excellence.
• Provide strategic input on planning, architecture, and tech selection.
• Design, develop, and deploy production-grade genAI solutions using LLMs, RAG, and fine-tuning.
• Lead code reviews and establish best practices for development and responsible AI.
• Collaborate with product/business teams to translate requirements into roadmaps.
• Evaluate and integrate emerging genAI models/frameworks/tools (OpenAI, Anthropic, open-source).
• Monitor and optimize LLM performance, cost, latency, and reliability in production.
• Document architecture decisions and conduct knowledge-sharing sessions.

Skills

Generative AI

LLMs

Prompt engineering

Python

System design

API integration

Deployment pipelines

Leadership

Mentoring

Stakeholder management

Communication

Education

Master’s/PhD in CS/AI

Tools

OpenAI GPT

Claude

Hugging Face

Azure OpenAI

Job description

Position: Senior Artificial Intelligence Engineer

Position Overview

We are seeking an experienced Generative AI to join our AI Engineering team. This role combines deep technical expertise in generative AI with team leadership and project management responsibilities. The ideal candidate will drive the strategy and execution of our generative AI initiatives, mentor a team of AI engineers, and provide strategic input on AI product development and architecture decisions.

Key Responsibilities

• Lead and mentor a team of AI/ML engineers, fostering a culture of innovation, continuous learning, and technical excellence
• Provide strategic technical input on generative AI project planning, architecture, and technology selection
• Design, develop, and deploy production-grade generative AI solutions using LLMs, RAG systems, and fine-tuning techniques
• Lead code reviews and establish best practices for generative AI development and responsible AI deployment
• Collaborate with product and business teams to translate requirements into technical roadmaps and project milestones
• Evaluate and integrate emerging generative AI models, frameworks, and tools (OpenAI, Anthropic, open-source models, etc.)
• Monitor and optimize LLM performance, cost efficiency, latency, and reliability in production environments
• Document architectural decisions, maintain technical documentation, and conduct knowledge-sharing sessions

Required Qualifications

• Minimum 4 years of professional experience in generative AI, LLM development, or related AI/ML fields
• Proven experience working with large language models (LLMs), prompt engineering, RAG systems, or fine-tuning
• Strong software engineering fundamentals: Python, system design, API integration, and deployment pipelines
• Demonstrated experience leading or mentoring technical teams
• Experience with generative AI platforms and APIs (OpenAI GPT, Claude, Hugging Face, Azure OpenAI, etc.)
• Ability to communicate complex technical concepts to non-technical stakeholders

Preferred Qualifications

• Hands‑on experience with production generative AI systems at scale
• Familiarity with vector databases, embeddings, and semantic search technologies
• Experience with ML operations (MLOps), model monitoring, and evaluation metrics
• Knowledge of responsible AI, bias mitigation, and ethical AI practices
• Experience with cloud platforms (AWS, GCP, Azure) for ML workloads
• Contributions to open-source AI/ML projects or published research
• Advanced degree (Master’s/PhD) in Computer Science, AI, or related field

Core Competencies

• Technical Expertise: Generative AI, LLMs, deep learning, NLP, prompt engineering
• Leadership: Team management, mentoring, decision‑making, stakeholder management
• Problem Solving: Complex system design, optimization, troubleshooting
• Communication: Clear documentation, presentations, cross‑functional collaboration

Team Management

• Build and manage a high‑performing AI engineering team (initial team size: 4-6 engineers)
• Conduct regular one‑on‑ones, performance reviews, and career development planning
• Create a collaborative environment that encourages knowledge sharing and innovation

Project Input & Strategic Planning

• Participate in product roadmap discussions and provide technical feasibility assessments
• Identify technical risks, propose mitigation strategies, and manage technical debt
• Lead architecture reviews and ensure alignment with company technical standards
• Provide recommendations on tool selection, technology stack, and infrastructure decisions
• Contribute to hiring and team expansion planning

What We Offer

• Competitive salary and comprehensive benefits package
• Opportunity to lead cutting‑edge generative AI initiatives
• Professional development and continuous learning opportunities
• Flexible work environment with remote options
• Collaborative and innovative company culture
• Equity participation and performance bonuses