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

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 Title: Data Engineer

Location: Pune, India

Experience: 5 to 9 years

Job Description:

We are seeking a talented and experienced Data Engineer to join our team in Pune. The ideal candidate will have a strong background in data engineering with expertise in Python, AWS, Spark, and Scala. This role is critical to our data infrastructure, ensuring that our data pipelines are robust, efficient, and scalable.

Required Skills:

• Python: Advanced proficiency with extensive experience in building data pipelines.
• AWS: Hands-on experience with AWS services such as S3, Lambda, Redshift, Glue, and EMR.
• Spark: Proficient in using Apache Spark for large-scale data processing.
• Scala: Working knowledge of Scala for Spark programming.
• Strong understanding of data warehousing concepts and ETL processes.
• Experience with SQL and relational databases.
• Familiarity with data governance and security best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Job Description:      

• Extensive experience in Appian BPM application development
• Knowledge of Appian architecture and its objects best practices
• Participate in analysis, design, and new development of Appian based applications
• Team leadership and provide technical leadership to Scrum teams
• Must be able to multi-task, work in a fast-paced environment and ability to resolve problems faced by team
• Build applications: interfaces, process flows, expressions, data types, sites, integrations,
• Proficient with SQL queries and with accessing data present in DB tables and views
• Experience in Analysis, Designing process models, Records, Reports, SAIL, forms, gateways, smart services, integration services and web services
• Experience working with different Appian Object types, query rules, constant rules and expression rules

• At least 6 years of experience in Implementing BPM solutions using Appian 19.x or higher
• Over 8 years in Implementing IT solutions using BPM or integration technologies
• Certification Mandatory- L1 and L2 a
• Experience in Scrum/Agile methodologies with Enterprise level application development projects
• Good understanding of database concepts and strong working knowledge any one of the major databases e g Oracle SQL Server MySQL

• Appian BPM application development on version 19.x or higher
• Experience of integrations using web services e g XML REST WSDL SOAP API JDBC JMS
• Good leadership skills and the ability to lead a team of software engineers technically
• Experience working in Agile Scrum teams
• Good Communication skills

Backend Architect:

Technology: node js, DynamoDB / Mongo DB

Roles:

• Design & implement Backend Services.
• Able to redesign the architecture.
• Designing & implementation of application in MVC & Microservice.
• 9+ years of experience developing service-based applications using Node.js.
• Expert-level skills in developing web applications using JavaScript, CSS and HTML5.
• Experience working on teams that practice BDD (Business Driven Development).
• Understanding of micro-service architecture and RESTful API integration patterns.
• Experience using Node.js for automation and leveraging NPM for package management
• Solid Object Oriented design experience, and creating and leveraging design patterns.
• Experience working in a DevOps/Continuous Delivery environment and associated toolsets (i.e. Jenkins, Puppet etc.)
  
  
  

Desired/Preferred Qualifications :

1. Bachelor's degree or equivalent experience
2. Strong problem solving and conceptual thinking abilities
3. Desire to work in a collaborative, fast-paced, start-up like environment
4. Experience leveraging node.js frameworks such as Express.
5. Experience with distributed source control management, i.e. Git

7+ years of experience of Workday HCM configuration across 4+ Workday modules and 5+ deployments

Key responsibilities

• Lead design/requirements workshops
• Highly confident in configuring workday with the ability to utilise Workday Community where necessary
• Highly confident in building accurate estimates for Workday configuration work
• Approve effort estimates of more junior consultants
• High level of understanding of how business utilise HR technology to their advantage
• Directly manage a team of consultants based in India
• Manage customer escalations around direct reports work
• Support in building the CloudRock team based in Indian through being an advocate for CloudRock and a leadership figure
• Support and mentor junior resource based in India/Portugal/UK
• Full understanding of the Workday deployment methodology
• Achieve a high level of utilisation
• Be consultative in their customer approach

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

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Job Summary:

As Senior Associate L1 in Data Engineering, you will do technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. Having hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms will be preferable.

Role & Responsibilities:

Job Title: Senior Associate L1 – Data Engineering

Your role is focused on Design, Development and delivery of solutions involving:

• Data Ingestion, Integration and Transformation

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 3.5+ years of IT experience with 1.5+ years in Data related technologies

2.Minimum 1.5 years of experience in Big Data technologies

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

7.Cloud data specialty and other related Big data technology certifications

Job Title: Senior Associate L1 – Data Engineering

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

• Experience in designing & developing systems/software for large business environments (Java, J2EE).
• Strong design and coding skills in Enterprise Java, REST & SOAP web services, ORM (JPA/Hibernate), Spring, Maven, JMS (ActiveMQ), Caching, XML, JSON.
• Experience with multiple integration technologies / frameworks.
• Must have good experience in Unix/Oracle/SQL.
• Experience in Agile Development, Scrum, and Iterative approaches.
• Experience and exposure to AWS Cloud Services and DevOps mindset and expertise is a plus Experience with Mule or any ESB (Enterprise Service Bus) is a plus.