Artificial Intelligence Engineer

Redica Systems; Bengaluru; On-site; INR 350,000 - 650,000; Full time

Job summary

Redica Systems is hiring an AI Engineer to build and deploy AI-powered capabilities for the QRI platform in life sciences. You will work with product managers, data engineers, and software engineers to integrate LLM-powered systems into the Redica platform.

The role emphasizes hands-on coding, scalable AI services, and reliable production deployments, with a strong focus on AI-driven regulatory insights and automated workflows.

Qualifications

• 3+ years as ML Engineer with production experience.
• Hands-on Python development and ML model deployment.
• Experience building conversational AI and generative systems.

Responsibilities

• Build and deploy AI-powered applications using LLMs and generative AI frameworks.
• Develop conversational systems and intelligent workflows with LLMs.
• Integrate AI features into existing platform services via APIs.
• Design backend APIs with Python and FastAPI.
• Develop microservices for scalable AI inference and data processing.
• Work with regulatory and structured/unstructured datasets for insights.
• Implement hybrid search with vector and graph databases.
• Ensure production readiness, monitoring, and performance optimization.

Skills

Python

LLMs

Generative AI

Microservices

SQL/NoSQL

Education

BSc CS/Engineering

Tools

FastAPI

Langchain

LlamaIndex

Neo4J

Pinecone

Job description

Redica Systems is a SaaS start-up serving more than 200 customers within the life science sector, with a specific focus on Pharmaceuticals and MedTech. Our workforce is distributed globally, with headquarters in Pleasanton, CA.

Redica's data analytics platform empowers companies to improve product quality and navigate evolving regulations. Using proprietary processes, we harness one of the industry's most comprehensive datasets, sourced from hundreds of health agencies and the Freedom of Information Act.

Our customers use Redica Systems to more effectively and efficiently manage their inspection preparation, monitor their supplier quality, and perform regulatory surveillance.

More information is available at redica.com.

The Role

We’re looking for an AI Engineer to join our team as we continue to develop the first-of-its-kind Quality and Regulatory Intelligence (QRI) platform for the life sciences industry.

In this role, you will help build and deploy AI-powered capabilities that extract insights from complex regulatory datasets, inspection reports, and government data sources. You will work closely with product managers, data engineers, and software engineers to integrate LLM-powered systems into the Redica platform.

The ideal candidate maintains a high bar for engineering quality while remaining hands-on in the code, building scalable AI services and applications that operate reliably in production environments.

Core Responsibilities

• Build and deploy AI-powered applications using large language models and generative AI frameworks.
• Develop conversational systems and intelligent workflows using LLMs and agentic frameworks.
• Integrate AI capabilities into existing platform services and APIs.
• Design and implement backend APIs and services supporting AI functionality using Python and FastAPI.
• Develop microservices that enable scalable AI inference and data processing.
• Integrate AI services with other platform components to deliver end-to-end product capabilities.
• Work with structured and unstructured regulatory datasets to power AI-driven insights.
• Implement hybrid search and retrieval workflows using vector databases and graph databases.
• Integrate AI models with data pipelines and data stores to support scalable inference.
• Deploy and maintain AI systems in production environments.
• Contribute to testing, monitoring, and performance optimization of AI services.
• Assist in troubleshooting production issues related to AI systems and model inference.
• Work closely with product managers and engineering teams to translate product requirements into AI-powered solutions.
• Participate in engineering discussions, code reviews, and sprint planning.
• Contribute to continuous improvement of AI development practices and system performance.

What Success Looks Like in the First 6 Months

• Ship AI-powered features used by customers within the Redica platform.
• Contribute production-ready code to backend services and frontend interfaces.
• Help integrate LLM-based capabilities into customer-facing workflows.
• Improve reliability, testing, and performance of AI-enabled services.
• Identify opportunities to automate engineering workflows using AI tools.

About you

• Tech Savvy: Demonstrates strong technical proficiency in AI technologies and modern development tools, and actively adopts emerging technologies that improve system performance and engineering productivity.
• Manages Complexity: Works effectively within complex systems involving AI models, data pipelines, and distributed services.
• Plans and Aligns: Executes development tasks within defined scopes and aligns work with product and engineering priorities.
• Collaborates: Works effectively with cross-functional teams and contributes constructively toward shared goals.
• Manages Ambiguity: Adapts to evolving datasets, model approaches, and product requirements while maintaining steady development progress.
• Engaged: Shares our values and possesses the essential competencies needed to thrive at Redica, as outlined here: https://redica.com/about-us/careers

Qualifications

• 3+ years of experience as an ML Engineer developing and productionizing traditional ML models and/or Generative AI applications
• Hands-on experience in Python
• Strong experience in building and deploying LLM and Generative AI applications at scale
• Extensive hands-on experience with third-party LLM provider APIs (OpenAI, Google, Anthropic, Amazon Bedrock) and open-source LLMs (Llama, Mistral)
• Experience in building conversational systems using LLMs and agentic frameworks (Langchain, LlamaIndex, Langgraph, CrewAI)
• Hands‑on experience with microservices architecture and orchestration, including building backend APIs using FastAPI
• Experience with vector databases (e.g., Pinecone), graph databases (e.g., Neo4J), and hybrid search
• Hands‑on experience working with SQL (e.g., Postgres, Snowflake) and NoSQL (e.g., DynamoDB) databases/warehouses
• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field

Bonus Points

• Hands‑on experience with container orchestration services on AWS (e.g., ECS and EKS) and ML deployment on AWS (AWS SageMaker)
• Experience with both batch and event‑driven application architectures and ML inference methods

Additional Information

Top Pharma Companies, Food Manufacturers, MedTech Companies, and Service firms from around the globe rely on Redica Systems to mine and process government inspection, enforcement, and registration data in order to quantify risk signals about their suppliers, identify market opportunities, benchmark against their peers, and prepare for the latest inspection trends. Our data and analytics have been cited by major media outlets such as MSNBC, WSJ, and the Boston Globe.

We are committed to creating a diverse and inclusive workplace where everyone feels welcomed and valued. We believe that diversity of perspectives, backgrounds, and experiences is essential to our success. We are always looking for talented individuals who can bring unique skills and perspectives to our team.