11+ Knowledge base Jobs in Hyderabad | Knowledge base Job openings in Hyderabad

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Job Summary:

We are looking for an experienced Elasticsearch Specialist with 10+ years of IT experience and strong expertise in designing, implementing, and managing large-scale Elasticsearch clusters. The ideal candidate will have deep knowledge of ELK Stack (Elasticsearch,

Logstash, Kibana), performance tuning, data ingestion pipelines, and large-scale search/analytics platforms.

The candidate will work closely with DevOps, Security, and Engineering teams to build highly scalable, secure, and reliable observability and search platforms.

Key Responsibilities:

• Design, implement, and manage large-scale Elasticsearch clusters in production environments.
• Develop and optimize data ingestion pipelines using Logstash, Beats, and other data collectors.
• Perform cluster performance tuning, index optimization, and query optimization.
• Implement high availability, scalability, and disaster recovery strategies for Elasticsearch.
• Monitor cluster health and troubleshoot issues related to performance, indexing, and search latency.
• Work on data parsing, transformations, and enrichment using Grok, ingest pipelines, and scripting.
• Automate Elasticsearch deployments using Ansible, Terraform, or other automation tools.
• Integrate Elasticsearch with cloud platforms (AWS / Azure / GCP).
• Implement security features such as RBAC, encryption, and authentication.
• Collaborate with development teams to design efficient search and analytics solutions.
• Maintain Kibana dashboards and visualizations for monitoring and analytics.
• Provide technical leadership and mentor junior engineers.

Required Skills & Experience

• 10+ years of overall IT experience.
• 5+ years of hands-on experience with Elasticsearch.
• Strong expertise in ELK Stack (Elasticsearch, Logstash, Kibana).
• Experience in index design, shard management, and cluster scaling.
• Strong knowledge of data parsing using Grok, Regex, and Logstash pipelines.
• Experience with automation tools like Ansible, Terraform, or scripting.
• Experience with Linux system administration.
• Strong understanding of REST APIs and JSON data structures.
• Experience in performance tuning and troubleshooting Elasticsearch clusters.
• Experience working with large data volumes (TB scale).

Preferred Skills

• Experience with Elastic Stack Security features.
• Experience with Observability platforms and log analytics solutions.
• Experience with On-premises AWS / Azure / GCP deployments.
• Knowledge of Kafka, Fluentd, or other data streaming tools.
• Certification in Elastic technologies is a plus.

Soft Skills

• Strong problem-solving and analytical skills.
• Ability to work in fast-paced production environments.
• Excellent communication and collaboration skills.
• Ability to lead technical discussions and architecture decisions.

Nice to Have

• Experience in Security analytics or SIEM platforms.
• Experience building large-scale observability platforms.

Strong Sales manager, business development manager, accounts sales executive profile

Mandatory (Experience 1): Must have 7+ years of overall Business Development experience in SaaS, or technology solutions/servcies

Mandatory (Experience 2): Must have atleast 3+ years of experience in Selling SaaS of which 1+ should be in global market (USA market preferred)

Mandatory (Experience 3): Must have end-to-end ownership of sales pipeline — lead gen, prospecting, pitching, negotiations, and closure.

Mandatory (Experience 4): Must have hands-on experience driving new business growth, not just managing accounts or partnerships.

Mandatory (Experience 5): Must have demonstrated strong deal-closing capability, including negotiations with C-level or senior stakeholders

Mandatory (Tech Skills ): Must be proficient in CRM tools, sales enablement tools, presentation tools, and proposal documentation.

Mandatory (Company): B2B SaaS (preferred HealthTech, PharmaTech, Biotech, DrugTech..)

Mandatory (Stability): Must have atleast 2+ years of experience in each of the previous companies (if less exp, then proper reason)

Preferred Companies

Dotmatics, Benchling, Thermo Fisher Digital Science, PerkinElmer Signals, Labguru, LIMS providers (LabWare, STARLIMS), Schrödinger SaaS suite, Revvity Informatics, Genedata, Certara, Accenture Life Sciences Cloud, ArisGlobal, Veeva Systems, (Biotech/Bioinformatics), Sapio Sciences (ELN/LIMS), ACD/Labs, Aragen Life Sciences, Sai Life Sciences, Syngene International, GVK BIO / Aragen Discovery (legacy pool), Eurofins Scientific, Charles River Laboratories, WuXi AppTec, Thermo Fisher (Patheon), LabCorp Drug Development, ICON Plc, PPD (Thermo Fisher), SGS Life Sciences, Jubilant Biosys, Anthem Biosciences, TCG Lifesciences, Aurigene Discovery, Vimta Labs, Paras Biopharma, Syneos Health, Medpace, Bio-Rad, Illumina, Agilent Technologies, Waters Corporation, BD Biosciences, Thermo Fisher Scientific, 10x Genomics, NanoString, Bruker, QIAGEN, Hamilton Robotics, Tecan, Beckman Coulter Life Sciences

• Proficiency in Unity3D and C# programming language.
• Strong understanding of unity 3d and 2d principles and best practices.
• Familiarity with version control systems such as Git.
• Excellent problem-solving and communication skills.
• Ability to work effectively in a collaborative team environment.
• Familiarity with VR/XR/AR hardware and platforms, including Oculus, HTC Vive, HoloLens, and ARKit/ARCore.
• Excellent problem-solving skills and ability to adapt to evolving technologies and project requirements.

QA Automation with Cypress

PRIMARY PURPOSE

An automation engineer delivers automated solutions for software processes. As an automation engineer, the individual will work closely with development and product teams to help discover and eliminate problems by gathering requirements and implementing process automation. Sometimes this will include software, but other times you might be asked to automate service or business processes.

An automation engineer is responsible for the following

· Identify opportunities for automation within software processes.

· Plan, create and manage the overall quality planning strategy.

· Design and execute QA tests using scripts that automatically test functionality.

· Run tests for databases, systems, networks, applications and software.

· Identify bugs and quality issues in development, service or business processes.

· Install applications and databases relevant to automation.

· Collaborate with development/product teams to understand how automation can improve workflow.

· Gather requirements from clients, customers or end-users to develop the best automation solutions. A detailed understanding of modern SDLC frameworks is required as is the ability to work in an Agile environment.  

  Experience

 · 5+ years’ of relevant experience

· Proven track record in a software quality assurance role.

· Demonstrable strong software test automation experience at unit, integration and system level.

· Experience with automated testing tools, BDD, end-user testing.

· Experience with leading test plan design and strategy.

· Experience working in Agile process and result-oriented culture.

· Strong experience working on Linux-based systems.

· Experience within CI/CD, DevOps and TDD based environments;

 Required Skills

· Solid experience with test automation scripting and tools PHP Unit, Jest, Selenium, Postman, Mocha, Chrome Driver, Cypress

· HTML5, CSS, JavaScript

· Strong SQL, MySQL, knowledge.

· JIRA product suite, Git/Bitbucket, Confluence.

· Experience working on Linux-based systems.

· Experience with private cloud as well as public clouds such as including Amazon AWS, Microsoft Azure and Google Cloud Platform

· Experience with Amazon AWS, EC2, S3, ACL, EC2, Route53, CloudWatch, security/ ACL

· Mobile development experience

· Any exposure to PHP frameworks Laravel, Zend, Symfony will be a value add.

· Interest or exposure to Blockchain technology is beneficial.

 · Keen eye for detail and a commitment to excellence.

· Be willing to help your teammates, share your knowledge with them, and learn from them.

· Be open to receiving constructive feedback and turning it into process improvements.

· Creativity, motivation and strong communication.

· Effective time management skills for handling multiple tasks as per business priorities and goals.

· Superior written and oral communication skills.

· Superior interpersonal skills, with a focus on rapport-building, listening, and questioning skills.

· Strong documentation skills. Technical Skills

At least 7 years programming experience, some of them in JS/TypeScript.

 Proven expert level knowledge in BE & FE development (NodeJS, React,

electron, npm/yarn, WebPack).

 Experience with cloud (preferably AWS) and/or micro-services.

 Proven experience mentoring junior developers, defining work procedures and coding conventions.

 Experience working with various databases (preferably more than two).

Responsibilities:

• Developing and providing maintenance support for WordPress sites
• Migrating websites from other platforms to WordPress
• Integrating and setting up plugins like WPML, Yoast SEO, Elementor, WPBakery Page Builder Membership, etc.
• Optimizing page speed of WordPress sites
• Implementing SEO/CRO best practices in WordPress sites
• Transforming complex PSD layouts into pixel-perfect Responsive Wordpress websites.
• Creating responsive website designs
• Working under tight deadlines
• Handling multiple projects at the same time
• Producing high-quality work with a strong focus on detail
• Understands WP architecture and knows how to perform database and code optimization for WordPress
• Test, debug, analyze and fix application problems/issues.

Experience:

• Strong knowledge of WordPress Platform
• Expertise in HTML5, CSS3, JavaScript
• Proficiency in PHP/MYSQL and AJAX
• Minimum 2 years of experience in WordPress Development
• Understanding of W3C Web Standards/Semantics and Accessibility Guidelines
• Understanding of WordPress core functions and working concepts

Education:

Any Graduate in Any Specialization. Preferred Computer Science/IT Background.