Lead - AI Engineer
Chennai · Staff/Principal
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What we know about this role
LOW
Itech is showing limited hiring activity lately. Expect slight delayed response.
First 72 hours
Window passed - posted 307d agoEarly applicants get seen before the pile builds.
Not a repost
The first time we've seen this listing - it hasn't been closed and reopened.
Skills required
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Job description
Role Summary
- Lead end-to-end lifecycle of AI solutions from requirement gathering to deployment and monitoring.
- Design scalable AI systems including LLM-based solutions, RAG pipelines, NLP workflows, and document processing systems.
- Provide technical direction to development teams and ensure alignment with solution design and delivery timelines.
- Conduct code reviews and ensure engineering best practices are followed.
- Evaluate feasibility of new project ideas and provide clear technical recommendations.
- Identify technical risks and propose practical, cost-effective solutions.
- Handle 2–3 parallel projects simultaneously with accountability for deliverables.
- Participate in client discussions to gather requirements and clarify expectations.
- Provide realistic timelines based on technical complexity and team capacity.
- Support pre-sales and proposal discussions by providing technical input and effort estimation.
- Coordinate with cross-functional teams to ensure successful cloud or on-prem deployments.
- 8–12 years of total experience in software development and AI/ML systems.
- Minimum 4+ years of hands-on experience in AI, ML, NLP, or LLM-based systems in production environments.
- Proven experience taking AI solutions from proof-of-concept to production.
- Strong programming skills in Python.
- Experience building and deploying RESTful APIs.
- Hands-on experience with Docker and CI/CD pipelines.
- Exposure to cloud platforms such as AWS, GCP, or Azure.
- Experience with vector databases and document processing pipelines is preferred.
- Strong understanding of software engineering principles and clean coding practices.
- Strong technical depth in AI systems.
- Ability to guide and mentor engineering teams.
- Strong ownership and accountability mindset.
- Ability to evaluate what is feasible and push back on unrealistic requirements.
- Comfortable working with international clients.
- Experience managing multiple concurrent projects.
- Experience working with data-sensitive domains such as BFSI, healthcare, legal, or HR.
- Exposure to AI cost optimization and production monitoring.
- Experience supporting pre-bid or proposal discussions.
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