Job Title: AI Engineer - AI Engineering

Location: Pune, Bangalore

Female Candidate Preference

Job Summary

Join us as an AI Engineer within the AI Engineering division of DAAS (Data, AI Automation Services), specializing in Gen AI application engineering. In this role, youll:

- Collaborate with different teams to propose AI solutions on different use cases across the insurance value chain, with a focus on backend applications and integration with other systems through APIs.
- Research, build, and deploy AI applications as part of the broader AI team
- Contribute to our SE and DevOps practices

If youre an intermediate enthusiast in the field of AI and software, and are passionate about exploring AI use cases in insurance, seize this chance to join us and make a significant impact.

Technical skills

Expertise is required in the following fields:

- Implementation of at least 3 AI projects, preferably with experience in GenAI LLMs
- Expertise in Python, LangChain
- Experience with Azure, OpenShift, Databricks, MLFlow
- DevOps for model deployment, monitoring, and management




- Hands-on experience with Generative AI tech - LLMs, RAG, Prompt Engineering
- Broad understanding of machine learning algorithms and techniques, including LLMs/SLMs, supervised/unsupervised algorithms, agentic ai
- Azure and AI certifications are a strong plus
- Familiarity with observability and monitoring tools

Soft skills

- Work collaboratively with broader Data and Tech teams, along with global multi-lingual teams.
- Communicate effectively with non-technical stakeholders for collecting requirements, communicating deliverables, value generated, challenges.

Background and experience

- 3-6 years of progressive experience in Software Engineering and Gen AI
- Experience in designing and building backend applications, especially in AI

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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