Role : Python AI Search Specialist
Key Skills : Apache SolR or Elastic Search or Open Search (Search technologies is a must), Python, API, AWS
Work Location : Kochi
About Symphony Technology Group (STG) :
STG is a Silicon Valley (California) based private equity firm that has a long and successful track record of transforming high potential software and software-enabled services companies, as well as insights-oriented companies into definitive market leaders.
The firm brings expertise, flexibility, and resources to build strategic value and unlock the potential of innovative companies. Partnering to build customer-centric, market winning portfolio companies, STG creates sustainable foundations for growth that bring value to all existing and future stakeholders.
The firm is dedicated to transforming and building outstanding technology companies in partnership with world class management teams. With over $5.0 billion in assets under management, including a recently raised $2.0 billion fund. STGs expansive portfolio has consisted of more than 30 global companies.
STG Labs is the incubation center for many of STGs portfolio companies, building their engineering, professional services, and support delivery teams in India. STG Labs offers an entrepreneurial start-up environment for software and AI engineers, data scientists and analysts, project and product managers and provides a unique opportunity to work directly for a software or technology company. Based in Bangalore, STG Labs supports hybrid working.
We are seeking a highly skilled Search Engineer with expertise in search technologies, Python, and cloud platforms. This role involves building and optimizing scalable search systems, improving search relevance, and integrating modern AI / ML techniques into search solutions.
The ideal candidate is someone who thrives at the intersection of data, search, and cloud engineering and can drive impactful solutions in a fast-paced environment.
- Search, API, AWS Apache SolR or Elastic Search or Open Search
- Knowledge and expertise in API Development, API Gateways etc.
- Knowledge of AWS Ecosystem (ECS / EKS, Lambda, Cloudformation)
- Strong knowledge of Search - tokenization, stemming etc.
- CI / CD & Test Automation for Unit, Integration and Performance 5+ years hands-on experience with Apache Solr and / or OpenSearch (schema design, indexing pipelines, query parsing, clustering, replication).
- 3+ years professional .NET (C#) development, including asynchronous patterns and dependency-injection frameworks.
- Proven track record deploying workloads on AWS (ECS / EKS, Lambda, S3, IAM, CloudFormation or CDK).
- Solid understanding of search relevance concepts : tokenization, stemming, analyzers, boosting, query-time vs index-time strategies.
- CI / CD and automated testing expertise (unit, integration, performance). Knowledge of search in construction or AEC industry datasets.
- Experience with Infrastructure as Code
- Familiarity with container security best practices and AWS Well-Architected Framework.
Roles and Responsibilities :
Design, implement, and optimize search systems using Apache Solr / Elasticsearch (schema design, indexing pipelines, query parsing, clustering, replication).Improve search relevance through advanced techniques (tokenization, stemming, analyzers, boosting, and query vs. index-time optimizations).Develop data processing workflows, orchestration scripts, and ML prototypes in Python.Deploy and manage workloads on AWS (ECS, Lambda, S3, IAM) with a strong focus on scalability, performance, and cost efficiency.Implement and maintain CI / CD pipelines, automated testing (unit, integration, performance), and ensure reliable software delivery.Partner with data science and product teams to deliver data-driven search solutions and continuously improve user experience.Stay current with the latest in search, NLP, and AI / ML trends and bring innovation into the platform.Required :
5+ years of hands-on experience with Apache Solr and / or Elasticsearch.Strong proficiency in Python for data engineering and ML prototyping.Proven experience deploying applications on AWS (ECS, Lambda, S3, IAM).Solid understanding of search relevance concepts : tokenization, stemming, analyzers, boosting, query-time vs. index-time strategies.Experience with CI / CD implementation and automated testing frameworks (unit, integration, performance).Preferred Skills :
Exposure to LLM fine-tuning or Retrieval-Augmented Generation (RAG) patterns.Knowledge of construction / AEC industry datasets and their search use cases.Experience with Infrastructure as Code (Terraform, Pulumi).Familiarity with container security best practices and the AWS Well-Architected Framework.(ref : hirist.tech)