AI Tech Lead
V2Soft
5 - 10 years
Bengaluru
Posted: 12/02/2026
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Job Description
Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.
Responsibilities
- Exposure to Agent and Agentic AI development.Experience level is 3+ in Gen AI and related technologies.
- End-to-End Development:Lead the design, development, and implementation of AI solutions, ensuring seamless integration with business objectives and existing systems.
- Model and Algorithm Implementation:Build, customize, and deploy machine learning and generative AI models using frameworks such as LangChain, Llama Index fromHugging Face.
- Data Engineering:Oversee the entire data pipelinefrom data acquisition and cleaning to feature engineeringto ensure robust and high-quality model inputs.
- Model Training and Evaluation:Manage end-to-end model training, tuning, and validation using scalable workflows and defined performance metrics.
- Prototyping and POCs:Rapidly develop prototypes and proof-of-concepts to validate new ideas, algorithms, and product features.
- Team Leadership:Mentor and guide AI engineers and developers, leading technical discussions, code reviews, and best practice adoption across teams.
- Deployment & Integration:Lead the deployment of trained models into production environments, ensuring smooth integration and continuous monitoring.
Qualifications
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- Proven experience as an AI Lead Developer, Senior AI Engineer, or similar role with hands-on involvement in designing and deploying AI systems at scale.
- Strong experience inGenerative AI(LLMs, prompt engineering, model fine-tuning, embeddings).
- Expertise withHugging Face, OpenAI APIs, or custom model developmentand deployment.
- Proficiency inPython, including frameworks such asStreamlitfor interactive AI applications.
- Excellent coding, debugging, and optimization skills.
- Strong leadership, communication, and collaboration abilities.
- Demonstrated success in leading AI development initiatives and mentoring cross-functional teams.
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