Knowledge base Jobs in Hyderabad

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

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Lead I - Software Engineering - AI Solutions Analyst

Global Digital Transformation Solutions Provider

Agency job

via Peak Hire Solutions by Dharati Thakkar

Bengaluru (Bangalore), Mumbai, Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Pune, Hyderabad

6 - 8 yrs

₹10L - ₹26L / yr

Large Language Models (LLM)

Prompt engineering

Knowledge base

Large Language Models (LLM) tuning

Artificial Intelligence (AI)

+7 more

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.

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.

kinaxis developer

at aptask global

Posted by Jyothi MR

Bengaluru (Bangalore), Hyderabad

6 - 15 yrs

₹15L - ₹30L / yr

kinaxis

Rapid application development

rrs worksheets

Integration

Position: Kinaxis Developer

Location: Bengaluru/Hyderabad

Job Description:

Expertise in Kinaxis Rapid Response, RRS Worksheets, and integration with ERP systems like SAP and Oracle APS
Design, development, and deployment of Kinaxis RR solutions; manage integrations and optimize supply chain processes; mentor technical teams and drive stakeholder collaboration
6+ years IT experience with 4+ years Kinaxis data integration expertise, BE/B.Tech/MCA/M.Tech degree, skilled in ERP (SAP, Oracle) and integration tools (REST/SOAP, ETL, APIs)
Design and implement Kinaxis integration with ERP, PLM, MES; manage cloud and hybrid architectures; stakeholder communication and troubleshooting
A strong understanding of Kinaxis's data management and integration including key control settings with experience of integrating data from legacy systems/ERPs.
Deep understanding of the underlying data model and analytics of Kinaxis with understanding of how demand, supply, and inventory data are structured in the system to ensure calculations are correct within the tool.
A solid understanding of the Kinaxis Supplier Collaboration application and close loop design as well as a good understanding of ERP processes and screens in managing open orders, VMIC, supplier schedules etc.
Act as the primary point of contact for functional issues, proactively identifying, diagnosing, and resolving errors and inefficiencies in existing configurations.

Position: Kinaxis Developer

Location: Bengaluru/Hyderabad

Job Description:

Expertise in Kinaxis Rapid Response, RRS Worksheets, and integration with ERP systems like SAP and Oracle APS
Design, development, and deployment of Kinaxis RR solutions; manage integrations and optimize supply chain processes; mentor technical teams and drive stakeholder collaboration
6+ years IT experience with 4+ years Kinaxis data integration expertise, BE/B.Tech/MCA/M.Tech degree, skilled in ERP (SAP, Oracle) and integration tools (REST/SOAP, ETL, APIs)
Design and implement Kinaxis integration with ERP, PLM, MES; manage cloud and hybrid architectures; stakeholder communication and troubleshooting
A strong understanding of Kinaxis's data management and integration including key control settings with experience of integrating data from legacy systems/ERPs.
Deep understanding of the underlying data model and analytics of Kinaxis with understanding of how demand, supply, and inventory data are structured in the system to ensure calculations are correct within the tool.
A solid understanding of the Kinaxis Supplier Collaboration application and close loop design as well as a good understanding of ERP processes and screens in managing open orders, VMIC, supplier schedules etc.
Act as the primary point of contact for functional issues, proactively identifying, diagnosing, and resolving errors and inefficiencies in existing configurations.

AI Architect

at KnackLabs

5 recruiters

Posted by Stuti Jain

Hyderabad

7 - 10 yrs

₹25L - ₹35L / yr

Retrieval Augmented Generation (RAG)

Amazon Web Services (AWS)

Location: Hyderabad, India. Based at the KnackLabs headquarters, with occasional travel to client locations for workshops and reviews. This role does not involve extended onsite deployments.

About the Role

You will work as an AI Architect who designs the systems behind our client engagements: AI agents, RAG systems, automation platforms, and the conventional backend systems around them.

This is a hands-on design role, not a slideware role. You will scope architectures with clients, make the hard technical decisions, defend them in review, and stay accountable for how the systems perform in production.

You will work directly with clients. Everyone at KnackLabs does. You will sit in design discussions with client engineering teams, present architecture decisions to technical and business stakeholders, and answer for the choices you make.

A full KnackLabs engineering team in Hyderabad builds with you. You own the technical design and the quality of what ships.

What you'll own

Architecture - Design AI agents, RAG systems, integrations, and the scalable backend systems around them, for multiple client engagements.
Technical scoping - Work directly with clients to turn a business problem into a system design, with clear trade-offs and clear reasons.
Scale and reliability - Make sure what we build handles real load: data stores, queues, caching, horizontal scaling, and fault tolerance.
Design reviews - Review designs and builds across engagements. Set the technical bar and hold it.
Evaluation strategy - Define how we measure accuracy, safety, latency, and cost for the AI systems we ship.
Guiding engineers - Raise the level of the engineers building with you, through reviews and direct pairing.
Feedback to the platform - Feed what you learn across engagements back into our platform and internal tools.

What we are looking for

Around 7 or more years of software engineering experience, including direct work with customers on design or delivery.
Full-stack development experience with strength in backend technologies.
Experience designing and building scalable applications. You understand how large-scale distributed systems work: data partitioning, queues, caching, horizontal scaling, and fault tolerance.
At least 2 years of strong, hands-on AI experience with large language models in production.
You build with AI coding tools like Claude Code or Codex as your default way of working. You understand Claude Skills, have written skills yourself, use them actively, and have contributed to them.
Hands-on experience building retrieval-augmented generation (RAG) systems: chunking, embeddings, vector databases, retrieval, and reranking.
Hands-on experience building AI agents.
Strong programming skills in Python. Working knowledge of TypeScript or JavaScript.
Experience with at least one cloud platform (AWS, Azure, or GCP).
Clear communication. You can explain an architecture decision to an engineer and to a business leader, and defend it under questioning.
High ownership and comfort with ambiguity. You can take an unclear problem and turn it into a design.

Nice to have

Experience building evaluations to measure accuracy, safety, latency, and cost.
Experience with observability and tracing tools such as LangSmith or Braintrust.
Experience with on-premises or private cloud (VPC) deployments.
Experience deploying AI systems in regulated industries such as insurance, banking, or the public sector.
Experience with data engineering and pipelines.
A history of side projects, open source contributions, or products you shipped end-to-end.
Experience working at a consulting or professional services firm in a client-facing delivery role.

Stack and tools

Languages: Python and TypeScript.
Models: Claude and other frontier or open-source models, chosen to fit the customer.
AI patterns: RAG, agents, prompt engineering, skills, and evaluations.
Vector and retrieval: vector databases and retrieval pipelines.
Cloud: AWS, Azure, or GCP, on public or private cloud.
Integration: REST APIs and enterprise system connectors.

Location: Hyderabad, India. Based at the KnackLabs headquarters, with occasional travel to client locations for workshops and reviews. This role does not involve extended onsite deployments.

About the Role

You will work as an AI Architect who designs the systems behind our client engagements: AI agents, RAG systems, automation platforms, and the conventional backend systems around them.

A full KnackLabs engineering team in Hyderabad builds with you. You own the technical design and the quality of what ships.

What you'll own

Architecture - Design AI agents, RAG systems, integrations, and the scalable backend systems around them, for multiple client engagements.
Technical scoping - Work directly with clients to turn a business problem into a system design, with clear trade-offs and clear reasons.
Scale and reliability - Make sure what we build handles real load: data stores, queues, caching, horizontal scaling, and fault tolerance.
Design reviews - Review designs and builds across engagements. Set the technical bar and hold it.
Evaluation strategy - Define how we measure accuracy, safety, latency, and cost for the AI systems we ship.
Guiding engineers - Raise the level of the engineers building with you, through reviews and direct pairing.
Feedback to the platform - Feed what you learn across engagements back into our platform and internal tools.

What we are looking for

Around 7 or more years of software engineering experience, including direct work with customers on design or delivery.
Full-stack development experience with strength in backend technologies.
Experience designing and building scalable applications. You understand how large-scale distributed systems work: data partitioning, queues, caching, horizontal scaling, and fault tolerance.
At least 2 years of strong, hands-on AI experience with large language models in production.
You build with AI coding tools like Claude Code or Codex as your default way of working. You understand Claude Skills, have written skills yourself, use them actively, and have contributed to them.
Hands-on experience building retrieval-augmented generation (RAG) systems: chunking, embeddings, vector databases, retrieval, and reranking.
Hands-on experience building AI agents.
Strong programming skills in Python. Working knowledge of TypeScript or JavaScript.
Experience with at least one cloud platform (AWS, Azure, or GCP).
Clear communication. You can explain an architecture decision to an engineer and to a business leader, and defend it under questioning.
High ownership and comfort with ambiguity. You can take an unclear problem and turn it into a design.

Nice to have

Experience building evaluations to measure accuracy, safety, latency, and cost.
Experience with observability and tracing tools such as LangSmith or Braintrust.
Experience with on-premises or private cloud (VPC) deployments.
Experience deploying AI systems in regulated industries such as insurance, banking, or the public sector.
Experience with data engineering and pipelines.
A history of side projects, open source contributions, or products you shipped end-to-end.
Experience working at a consulting or professional services firm in a client-facing delivery role.

Stack and tools

Languages: Python and TypeScript.
Models: Claude and other frontier or open-source models, chosen to fit the customer.
AI patterns: RAG, agents, prompt engineering, skills, and evaluations.
Vector and retrieval: vector databases and retrieval pipelines.
Cloud: AWS, Azure, or GCP, on public or private cloud.
Integration: REST APIs and enterprise system connectors.

Defender

at VY SYSTEMS PRIVATE LIMITED

Posted by Banu S

Bengaluru (Bangalore), Hyderabad, Chennai, Pune, Mumbai, Noida

3 - 6 yrs

₹2L - ₹9L / yr

Defender

Antivirus

Office 365

Job Summary

We are looking for an experienced Defender Antivirus Engineer with 3–8 years of experience in endpoint security and Microsoft security solutions. The ideal candidate should have strong hands-on experience with Microsoft Defender, Microsoft Sentinel, Intune, and Office 365 to manage enterprise endpoint protection, security monitoring, device management, and incident response. The candidate will play a key role in ensuring the organization's security posture through proactive monitoring, threat detection, and endpoint compliance.

Key Responsibilities

Administer and manage Microsoft Defender for Endpoint and Microsoft Defender Antivirus.
Configure, monitor, and maintain Microsoft Sentinel for security monitoring, threat detection, and incident response.
Manage endpoint devices, policies, and compliance using Microsoft Intune.
Administer and support Microsoft 365 (Office 365) services, including security configurations.
Monitor security alerts, investigate incidents, and perform root cause analysis.
Perform vulnerability assessments and coordinate remediation activities.
Ensure endpoint protection policies, antivirus updates, and security compliance are maintained.
Implement security best practices for endpoint and cloud environments.
Troubleshoot endpoint security, device management, and Microsoft 365-related issues.
Collaborate with infrastructure, cloud, and security teams to enhance enterprise security.

Required Skills

Strong hands-on experience with Microsoft Defender for Endpoint and Microsoft Defender Antivirus.
Experience administering Microsoft Sentinel (SIEM/SOAR).
Good knowledge of Microsoft Intune for endpoint and device management.
Experience with Microsoft 365 / Office 365 Administration.
Knowledge of endpoint security, threat detection, and incident response.
Experience with security monitoring, vulnerability management, and compliance.
Good understanding of Windows Server and Windows endpoint administration.
Strong troubleshooting and analytical skills.
Excellent communication and problem-solving abilities.

Job Summary

Key Responsibilities

Administer and manage Microsoft Defender for Endpoint and Microsoft Defender Antivirus.
Configure, monitor, and maintain Microsoft Sentinel for security monitoring, threat detection, and incident response.
Manage endpoint devices, policies, and compliance using Microsoft Intune.
Administer and support Microsoft 365 (Office 365) services, including security configurations.
Monitor security alerts, investigate incidents, and perform root cause analysis.
Perform vulnerability assessments and coordinate remediation activities.
Ensure endpoint protection policies, antivirus updates, and security compliance are maintained.
Implement security best practices for endpoint and cloud environments.
Troubleshoot endpoint security, device management, and Microsoft 365-related issues.
Collaborate with infrastructure, cloud, and security teams to enhance enterprise security.

Required Skills

Strong hands-on experience with Microsoft Defender for Endpoint and Microsoft Defender Antivirus.
Experience administering Microsoft Sentinel (SIEM/SOAR).
Good knowledge of Microsoft Intune for endpoint and device management.
Experience with Microsoft 365 / Office 365 Administration.
Knowledge of endpoint security, threat detection, and incident response.
Experience with security monitoring, vulnerability management, and compliance.
Good understanding of Windows Server and Windows endpoint administration.
Strong troubleshooting and analytical skills.
Excellent communication and problem-solving abilities.

Principal Product Designer

at Talent Pro

Posted by Mayank choudhary

Hyderabad

4 - 8 yrs

₹25L - ₹30L / yr

Strong Product Design / UX UI Design Profiles Mandatory (Experience...

Strong Product Design / UX UI Design Profiles
Mandatory (Experience 1) – Must have a 4+ years of hands-on experience designing digital products (UX/UI) across web and mobile platforms.
Mandatory (Experience 2) – Must have a strong portfolio showcasing end-to-end design execution—user research, wireframing, prototyping, and high-fidelity UI work.
Mandatory (Experience 3) – Must have proficiency in Figma, Adobe Creative Suite, and prototyping tools like Framer, Principle, or similar.
Mandatory (Experience 4) – Must have worked directly with product managers, engineers, and founders to shape product vision and strategy
Mandatory (Company) - Product companies only (B2B preferred

Strong Product Design / UX UI Design Profiles
Mandatory (Experience 1) – Must have a 4+ years of hands-on experience designing digital products (UX/UI) across web and mobile platforms.
Mandatory (Experience 2) – Must have a strong portfolio showcasing end-to-end design execution—user research, wireframing, prototyping, and high-fidelity UI work.
Mandatory (Experience 3) – Must have proficiency in Figma, Adobe Creative Suite, and prototyping tools like Framer, Principle, or similar.
Mandatory (Experience 4) – Must have worked directly with product managers, engineers, and founders to shape product vision and strategy
Mandatory (Company) - Product companies only (B2B preferred

Engineering Manager- FullStack (Node.JS+React.JS)

Product development MNC

Agency job

via Captum IT Private Limited by Raina K

Hyderabad

12 - 20 yrs

₹45L - ₹60L / yr

NodeJS (Node.js)

React.js

Amazon Web Services (AWS)

Fullstack Developer

TypeScript

Work Mode: 5 days in office

Notice: Max 30 days

*1 final round will be in-person

Responsibilities

● Own and champion the development process of our web-based applications, including: SDLC, coding standards, code reviews, check-ins and builds, issue tracking, bug triages, incident management. and testing.

● Build and maintain a high-performing software development team including hiring, training, and onboarding.

● Identify opportunities to eliminate non-value add activities to enable our developers to do what they love best—developing! No pointless meetings, no unnecessary interruptions, no random changes of course, no new problems from on high dumped in their lap each month.

● Identify growth opportunities for team members to continue to learn and develop in a supportive environment.

● Provide an engaging and challenging landscape for career growth.

● Provide leadership, mentorship, and motivation to the engineering team to sustain high levels of productivity and morale.

● Collaborate with Product Management on product requirements.

● Champion and advocate for the engineering team to the rest of the organization.

● Create a positive culture of fairness, quality, and accountability while challenging the status quo and bringing new ideas to light.

● Participate as a member of company’s Engineering Leadership team to build a high performing organization across multiple locations.

Requirements

● 12+ years of software development experience, 2+ years of development leadership experience.

● Demonstrated technical leadership and people management skills.

● Experience with agile development processes.

● Hands-on experience in driving/leading technical efforts in cloud-based applications.

● Proven track record of driving quality within a team, with a commitment to automated testing.

● Strong communication skills with the ability to effectively influence product at different levels of abstraction and communicate to both technical and non-technical audiences.

● Excellent coding skills to provide guidance and craftsmanship for our engineers

● Technical acumen to provide solid judgment in situations so you can provide the optimal short term decisions without sacrificing long term technology goals

● Demonstrated critical analysis skills to provide continuous improvement of technology, process, and productivity

Technical Experience

We are looking for someone who has experience working in environments that utilize some of the following technologies:

● AWS & Azure

● Typescript

● Node.js

● React.js

● Material UI

● Jira

● GitHub

● CI/CD

● SQL (MySQL, PostgreSQL, SQL Server)

● MongoDB