AI Engineer
Location: Chennai, India
Experience: 2
About the AI Engineer role
Key Responsibilities:
- Design, develop, and optimize LLM-powered features, including prompt architectures, agent workflows, retrieval systems, and evaluation frameworks.
- Experiment with, fine-tune, and adapt state-of-the-art foundation models for domain-specific use cases.
- Build robust inference pipelines and integration layers that allow LLMs to operate reliably in production environments.
- Implement guardrails, monitoring, and quality-control mechanisms to ensure safety, accuracy, and consistency of AI outputs.
- Conduct rapid prototyping to validate AI-driven ideas and convert successful experiments into scalable product capabilities.
- Stay current with advances in generative AI, model APIs, tooling, and best practices—and continually identify opportunities to apply them within the platform.
- Translate ambiguous product requirements into clear technical solutions, collaborating closely with engineering, product, and design teams.
- Clearly articulate trade-offs, limitations, and expected performance of AI systems to both technical and non-technical stakeholders.
- Contribute to long-term AI strategy by proposing innovative solutions, architectures, and improvements across the product ecosystem.
The ideal candidate:
- Minimum 2 years of experience in an AI/ML engineering, NLP, or LLM-focused role.
- Experience working with LLMs and adapting them to real product use cases.
- Strong grasp of modern generative AI concepts, including prompt engineering, fine-tuning, and model evaluation.
- Strong programming skills in Python, with experience delivering production-ready code.
- Understanding of retrieval-augmented generation (RAG), vector databases, embeddings, and related techniques.
- Familiarity with modern infrastructure components used for deploying AI systems (e.g., REST APIs, Docker, cloud services).
- Familiarity with AI/ML frameworks and tooling such as PyTorch, Transformers, LangChain/LlamaIndex, or equivalent LLM orchestration stacks.
- B.E/B.Tech in Computer Science, Engineering or relevant field; OR graduate degree in Data Science or other quantitative field is preferred
Abilities and traits
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills
Location: Chennai
What we offer:
- Competitive salary and benefits package.
- Opportunity to work with cutting-edge technologies.
- Flexible working hours and remote work options.
- Continuous learning and professional development opportunities.
- A collaborative and supportive work environment
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