Engineering Manager

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.

Assistant Technical Project Manager

Exp: 2-3 Years

Salary: 40-50k INR Per Month

Location: In Office, Ahmedabad. 

Acceptable Notice Period: Immediate To 30 Days

Qualifications:

1. 2-3 years of experience in project management or a technical role.

2. Strong understanding of project management methodologies (e.g., Agile, Waterfall).

3. Excellent organizational, time management, and problem-solving skills.

4. Strong written and verbal communication skills.

5. Proficiency in project management tools (e.g., Jira, Asana, Trello).

6. Knowledge of software development lifecycle and testing methodologies.

At Klozet, We are building a launchpad for fashion designers and a virtual cloud-based wardrobe for the consumers. To do that we are creating a simple and beautiful product experience.
We are looking for a mindful, empathetic, self-motivated member to join our team to help us move thinking forward. With a strong focus on growth and personal development, Klozet is the ideal place to take your career to the next level in a fast-paced environment built on mutual trust and respect.

What will you do?

As a core technical member of the team, you'll architect and build the mobile app from scratch. You'll be working closely with the core and technology team to lead engineering planning, and bring an innovative and delightful product to life. You'll sweat the details and make things shine. You'll grow our engineering team and build a high-performance engineering culture.

Who are you?

• You have 2+ years of experience in high scale products. Experience in e-commerce products will be a plus.
• You have experience in React native development and have built products in a start-up environment.
• You have a stronghold on programming, architecture, design pattern to lead long term scalable, stable and flexible tech.
• You are flexible, dedicated, team leader, curious and passionate about learning.

We'd particularly love it if:

• Firm grasp of the JavaScript language and its nuances, including ES6+ syntax
• You have experience with react native build tools.
• You are familiar with native iOS and android development.
• You have experience in RESTful APIs, automated testing suites like Jest & mocha.

Sounds like you? We'd love to hear from you.

This role is based out of Gurgaon.

Job Description :

Hiring for Staff Engineer (Back end) for a leading product based company at DLF IT Park, Chennai.

Skill Set :

- Strong Experience in any Programming language (Ruby, Go, Java, or other high-performance languages), Architecture, Design (HLD/LLD), Data structures, Algorithms, Hands-on Coding, Problem Solving, etc

- Experience in Web Technology is Must.

- Looking for candidates with good experience in product development.

- Candidates from product development companies will be preferred.

- Candidates willing to relocate/preferring Chennai can apply.

Responsibilities :

- Analyze and drive product requirements

- Architect and design product features for scale and maintainability

- Lead in the design, implementation, and deployment of successful systems and services

- Ensure the quality of architecture and design of systems

- Implement code with very high coverage of unit tests and component tests

- Perform design and code reviews

- Functionally decompose complex problems into simple, straight-forward solutions

- Fully and completely understand system interdependencies and limitations

- Possess expert knowledge in performance, security, scalability, architecture, and best practices

- Software development of high quality/availability core systems

- Cross-training peers and mentoring teammates

- Document HLD/LLD for easy knowledge sharing and future scaling

Must have :

- 8-12 years of experience designing, integrating and developing distributed applications in Ruby, Go, Java, or other high-performance languages

- Experience with cluster and container orchestration systems such as Docker, Mesos, Marathon, Salt or Kubernetes.

- Experience with Service design, systems engineering, API Design and versioning

- Understanding of Design Patterns, Serverless computing, cloud-first architecture, TDD, BDD, CI/CD, Integration Patterns

Good to have :

- Experience building distributed systems using Kafka. Strong grasp of fundamental concepts of Kafka, ZooKeeper and building producer and consumer applications using Kafka

- Familiarity writing and optimizing advanced SQL queries

- Good Linux/UNIX systems knowledge

- AWS compute and storage PaaS services. AWS certified solutions architect nice to have.

- Experience productionizing Machine Learning models

- Experience publishing technical papers in reputed conferences.