ThoughtSol Infotech Ltd.
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Noida · Remote · 3-6 Yrs · Aug 21
Information Technology Support Services · 201 to 500 Employees · New Delhi, India
Welcome to ThoughtSol. Our story started in January 2014 with the simple thought of bringing a meaningful change. The journey began with a vision to revolutionize how businesses engage with technology, igniting innovation and driving progress in every sector. Since then, we've been at the forefront of the digital revolution, pioneering solutions that redefine industries and empower organizations to thrive in an ever-evolving landscape. Our commitment to excellence is woven into every aspect of our operations, as evidenced by our certifications in Quality Management, Service Management, Information Service Management, Environmental Management, and Business Continuity Management. We strongly believe in "Happy Employees = Happy Customers". Backed by proficient skills and deep domain expertise spanning diverse sectors, we continually push the boundaries to bring the latest advancements and elevate our delivery to even greater heights.
Hiring: Engineering
What employees say
+ Great place to start and grow your career. I recently joined as a DevOps Engineer, and the team has been supportive and welcoming. The work environment is positive, with good learn
− Honestly, the only thing I'd change is the office location-it deserves a more premium spot to match the great work culture and team!
More reviews on the company profile.
Interview experience · Help Desk Executive
Good, Based on networking , hardware peripherals like printer, Laptop, desktop, remote troubleshooting, Wi-fi , Lan setup , situational questions, brief introduction, some of the directory commands , microsoft 365
Average difficulty · India · 3 reports
More interview insightsJob description
Overview
We are seeking an experienced Senior Generative AI to join our AI Engineering team.
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
Qualifications
- 3+ 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
- Ability to communicate complex technical concepts to non-technical stakeholders
- Knowledge of responsible AI, bias mitigation, and ethical AI practices
- Contributions to open-source AI/ML projects or published research
- Advanced degree (Master’s/PhD) in Computer Science, AI, or related field
- Technical Expertise: Generative AI, LLMs, deep learning, NLP, prompt engineering
- Leadership: Team management, mentoring, decision-making, stakeholder management
- Project Management: Agile methodologies, roadmap planning, prioritization
- Problem Solving: Complex system design, optimization, troubleshooting
- Communication: Clear documentation, presentations, cross-functional collaboration
- 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
- 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
Nice to have
- Hands-on experience with production generative AI systems at scale
- Familiarity with vector databases, embeddings, and semantic search technologies
Benefits
- 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
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