Overview

We are seeking a senior and experienced GenAI & Agentic Developer to build core services, features and capabilities on an enterprise-grade Generative AI Platform for a large global insurer. This role blends strong Python engineering with DevOps enablement and hands-on integration of LLM technologies into secure, scalable enterprise environments.

The ideal candidate will bring practical GenAI & Agentic development experience, strong automation skills, and the curiosity to solve emerging engineering challenges in this rapidly evolving space.

Key Responsibilities:

- Build and maintain backend services and APIs enabling secure access to LLM capabilities.
- Develop and optimise Python-based GenAI & Agentic components including prompt orchestration, output validation, and evaluation tooling.
- Integrate LLMs with enterprise systems, observability, and security frameworks.
- Design and maintain CI/CD pipelines aligned to engineering standards (Azure DevOps primarily).
- Collaborate closely with platform leads, architects, and SRE teams to ensure reliable operationalisation of GenAI services.
- Support benchmarking, evaluation, and experiment tracking for LLM performance and cost.
- Contribute to RAG implementations and data access patterns supporting enterprise use cases.
- Help shape API standards, reusable patterns, and documentation for platform adoption.
- Troubleshoot and optimise performance across distributed systems and cloud services.

Mandatory Skills & Experience:

- Strong Python backend engineering in production systems (inc FastAPI).
- AWS services: EC2, EKS, S3, SQS, Kenesis/Firehose, Bedrock and AgentCore.
- Working knowledge of GenAI technologies and Large Language Models.




- Experience evaluating LLM performance and prompt handling complexities.
- Solid DevOps mindset with CI/CD expertise and observability best practices.
- Comfortable working in regulated enterprise environments with strict security controls.
- Experience integrating AI services into real-world apps or workflows. Knowledge of authentication, secret management, network boundaries, and model access governance

Preferred Skills:

- Kong API Gateway, Kong Mesh, Flux CD. RESTful API development (FastAPI preferred), microservices, Terraform with GitOps workflows.

- IaC & Terraform experience with GitOps workflows. Prompt red teaming & evaluation tools (like Promptfoo, Arize).

- Experience with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra) databases.
- Exposure to RAG patterns and vector search technologies.

Behavioural Competencies:

- Proactive self-starter who identifies gaps and drives solutions without waiting for tickets.
- Comfortable working in ambiguous emerging domains where best practice is evolving.
- Team-oriented communicator able to influence and gain trust across engineering, data, and product teams.

- Curiosity to explore and adopt new GenAI techniques in a structured, secure way.
- Bias toward automating everything to reduce toil and accelerate delivery.

What Success Looks Like:

- Efficient, secure, and reusable GenAI components delivered into production.
- Improved engineering velocity through automation and DevOps best practices.
- Stable services, with observability and evaluation built in from day one.

- Platform teams and application teams love using what you build. Clear documentation and fast onboarding for future use cases.

📌 Hiring Python AI Developer (Bengaluru)
🏢 Sandhata Technologies
📍 Bengaluru