About the RoleEngineer scalable platforms and services supporting AI and agent-based workloads.Key Responsibilities

- Develop AI services and APIs
- Integrate COTS AI/agent platforms
- Support deployment pipelines
- Optimize performance and cost
- Ensure reliability of AI services in production

Work Areas & Outcomes –

Platform engineering, AI services, MLOps

QualificationsOptimal qualification for success on the job is:

- 5-8 years.

Role Proficiencies:For successful execution of the job, the candidate should possess:

Capability & Skill Expectations –

- Hands-on data science skills applied to GenAI use cases, including model fine-tuning, prompt optimization, testing, and evaluation.
- Experience with LLMs, embeddings, retrieval,



and agent-based architectures

Platform & Engineering Exposure –

- Experience applying COTS model-development and agent-development platforms to business use cases.
- Ability to integrate APIs, orchestration frameworks, vector databases, and enterprise data sources.

Observability & Evaluation Expectations –

Exposure to observability and evaluation for AI/agent-based apps, including prompt/version tracking, quality evaluation, latency and cost monitoring, hallucination analysis, and human-in-the-loop feedback.

Refer to the

📌 EAIG:AI Tech Engineer (Mumbai)
🏢 Axis Bank
📍 Mumbai