Business Development Executive

Candidate should have 2–6 years total experience, with 1+ year mandatory as a Project Manager in ops-driven roles.

2. Candidate should have Strong hands-on experience with Asana/Jira/Notion, Google Workspace, and Slack.

3. Candidate should have Ability to manage end-to-end project execution (schedules, deliverables, performance reviews).

4. Candidate should have Experience in risk management, coordination, and cross-functional communication.

5. Candidate should have Basic working knowledge of Python + SQL.

6. Candidate should have Experience setting up or managing onboarding workflows for teams.

7. Candidate should have Strong stakeholder management and operational planning capability.

8. Candidate should be Open to travel for project needs across India

Should have strong hands on experience of 8-10 yrs in Java Development.

Should have strong knowledge of Java 11+, Spring, Spring Boot, Hibernate, Rest Web Services.

Strong Knowledge of J2EE Design Patterns and Microservices design patterns.

Should have strong hand on knowledge of SQL / PostGres DB. Good to have exposure to Nosql DB.

Should have strong knowldge of AWS services (Lambda, EC2, RDS, API Gateway, S3, Could front, Airflow.

Good to have Python ,PySpark as a secondary Skill

Should have ggod knowledge of CI CD pipleline.

Should be strong in wiriting unit test cases, debug Sonar issues.

Should be able to lead/guide team of junior developers

Should be able to collab with BA and solution architects to create HLD and LLD documents

We're looking for an experienced Full-Stack Engineer who can architect and build AI-powered agent systems from the ground up. You'll work across the entire stack—from designing scalable backend services and LLM orchestration pipelines to creating frontend interfaces for agent interactions through widgets, bots, plugins, and browser extensions.

You should be fluent in modern backend technologies, AI/LLM integration patterns, and frontend development, with strong systems design thinking and the ability to navigate the complexities of building reliable AI applications.

Note: This is an on-site, 6-day-a-week role. We are in a critical product development phase where sthe peed of iteration directly determines market success. At this early stage, speed of execution and clarity of thought are our strongest moats, and we are doubling down on both as we build through our 0→1 journey.

WHAT YOU BRING:

You take ownership of complex technical challenges end to end, from system architecture to deployment, and thrive in a lean team where every person is a builder. You maintain a strong bias for action, moving quickly to prototype and validate AI agent capabilities while building production-grade systems. You consistently deliver reliable, scalable solutions that leverage AI effectively — whether it's designing robust prompt chains, implementing RAG systems, building conversational interfaces, or creating seamless browser extensions.

You earn trust through technical depth, reliable execution, and the ability to bridge AI capabilities with practical business needs. Above all, you are obsessed with building intelligent systems that actually work. You think deeply about system reliability, performance, cost optimization, and you're motivated by creating AI experiences that deliver real value to our enterprise customers.

WHAT YOU WILL DO:

Your primary responsibility (95% of your time) will be designing and building AI agent systems across the full stack. Specifically, you will:

• Architect and implement scalable backend services for AI agent orchestration, including LLM integration, prompt management, context handling, and conversation state management.
• Design and build robust AI pipelines — implementing RAG systems, agent workflows, tool calling, and chain-of-thought reasoning patterns.
• Develop frontend interfaces for AI interactions including embeddable widgets, Chrome extensions, chat interfaces, and integration plugins for third-party platforms.
• Optimize LLM operations — managing token usage, implementing caching strategies, handling rate limits, and building evaluation frameworks for agent performance.
• Build observability and monitoring systems for AI agents, including prompt versioning, conversation analytics, and quality assurance pipelines.
• Collaborate on system design decisions around AI infrastructure, model selection, vector databases, and real-time agent capabilities.
• Stay current with AI/LLM developments and pragmatically adopt new techniques (function calling, multi-agent systems, advanced prompting strategies) where they add value.

BASIC QUALIFICATIONS:

• 4–6 years of full-stack development experience, with at least 1 year working with LLMs and AI systems.
• Strong backend engineering skills: proficiency in Node.js, Python, or similar; experience with API design, database systems, and distributed architectures.
• Hands-on AI/LLM experience: prompt engineering, working with OpenAI/Anthropic/Google APIs, implementing RAG, managing context windows, and optimizing for latency/cost.
• Frontend development capabilities: JavaScript/TypeScript, React or Vue, browser extension development, and building embeddable widgets.
• Systems design thinking: ability to architect scalable, fault-tolerant systems that handle the unique challenges of AI applications (non-determinism, latency, cost).
• Experience with AI operations: prompt versioning, A/B testing for prompts, monitoring agent behavior, and implementing guardrails.
• Understanding of vector databases, embedding models, and semantic search implementations.
• Comfortable working in fast-moving, startup-style environments with high ownership.

PREFERRED QUALIFICATIONS:

• Experience with advanced LLM techniques: fine-tuning, function calling, agent frameworks (LangChain, LlamaIndex, AutoGPT patterns).
• Familiarity with ML ops tools and practices for production AI systems.
• Prior work on conversational AI, chatbots, or virtual assistants at scale.
• Experience with real-time systems, WebSockets, and streaming responses.
• Knowledge of browser automation, web scraping, or RPA technologies.
• Experience with multi-tenant SaaS architectures and enterprise security requirements.
• Contributions to open-source AI/LLM projects or published work in the field.

WHAT WE OFFER:

• Competitive salary + meaningful equity.
• High ownership and the opportunity to shape product direction.
• Direct impact on cutting-edge AI product development.
• A collaborative team that values clarity, autonomy, and velocity.

JOB DESCRIPTION

·        Develop business plans for allocated accounts. Achieve revenue targets 

·        Develop loyalty program strategy, design and develop programs to achieve identified engagement objectives.

·        Own agency deliverables wrt to allocated accounts – Program KPIs, operational SLAs, reporting & MIS, technology development, customer care operations, creative services, event management, print & productions etc.

·        Upsell and cross-sell Colorgenics’s services by finding new avenues of revenue generation within allocated accounts

·        Conduct quarterly and annual program reviews with client’s senior management teams.

·        Share strategic inputs, industry best practices with clients and help driving the program performance

·        Develop and implement tactical campaigns to improve engagement through various initiatives and promotions.

·        Giving creative direction to the team. And act as a creative output reviewer and approver.  

·        Team mentoring & reviews.

·        Act as a facilitator of 3rd party auditors appointed by clients.

·        Keeping total control on invoicing and collections.

CANDIDATE PROFILE AND QUALIFICATION:

·        Thorough knowledge of CRM & loyalty marketing. A seasonal professional with at least 8 years’ experience in heading big accounts

·        Marketing & Analytics knowledge, excellent communication skills, Technical and Managerial experience in designing, developing & growing a loyalty program.

·        This role requires a solid background in loyalty program management and client relationship management.

·        Team handling exposure and aptitude to handle challenging circumstances.

·        MBA / PGDBM is required

What you can expect at Colorgenics?

A Dynamic workplace with start-up attitude which fuels your passion to learn and unlearn. You may expect a fantastic work atmosphere of like-minded individuals keen to do something out of the box and disruptive. 

Roles & Responsibilities JOB TITLE: AEM Developer - Senior

RESPONSIBILITIES:

1. Participation in software development and maintenance

processes as per quality requirements, procedures and best

practices applicable.

2. Implementing, optimizing and supervising efficiency of IT

systems in accordance with specific standards, resolution or

escalation of problems, as appropriate.

3. Drawing up technical documentation.

4. Developing knowledge in scope of information technology used.

5. Developing knowledge in scope of best practices and standards

of creating software.

6. Developing soft skills in scope of effective communication and

efficient teamwork, solution presentation and knowledge sharing.

7. Interpreting business cases, preparing specifications and

analyzing functional and technical requirements.

8. Designing solutions and creating documentation, estimating

individual scope of works and time consumption of works.

9. Within the team and project/services, proactively identifying

problems and proposing measures to increase the level of services.

10. Developing knowledge in scope of information technology

used.

11. Developing knowledge in scope of best practices and standards

of creating software.

12. Spreading the knowledge throughout the organization by

educating and supporting less experienced Specialists.

13. Maintaining industry standards and practices in projects.

14. Performing tasks assigned by the superior.

PROFESSIONAL EXPERIENCE& TECHNICAL SKILLS

1. Minimum 3 years of experience in work related to CQ/AEM

development.

2. Minimum 5 years of experience in work related to Java

development in IT sector.

SOFT SKILLS:

1. Independence in performance of tasks assigned.

2. Team and end user communications skills.

3. Skills to acquire knowledge and put it in practice.

4. Work time estimation based on functional or technical

requirements.

5. Recommending employment in the case of reviewing technical

knowledge of candidates in recruitment process.

6. Work time estimation.

7. Designing and supervising implementation of solutions.

SPECIAL QUALIFICATIONS: Nice to have: AEM 6 Developer

certification

Skills Primary Skills –

1. AEM including Sling Models

2. Apache Sling

3. JCR

4. Sightly (must)

Secondary Skills –

1. OSGi (Apache Felix),

2. Java, JavaEE (Servlet, Filter, JSP)

3. Git

4. Junit

5. Maven

6. REST

7. Object Oriented Design Patterns, Basic HTML + JavaScript

Experience Total Experience – 4-6 years

Relevant Experience – 4-6 years

Qualification Required to perform the

Job (Any Certifications if Needed)

Bachelor’s in information technology or equivalent qualifications.

DataPower With APIC Development and Admin skills with Python or shell script
Exp.level: 4 - 7 Years

• IBM Cloud Pack- API Connect Developer:

• Data Power virtual appliance on Docker containers within Kubernetes cluster.

• setup API Connect Cloud manage

• setup Portal and analytics endpoints for the APIs to give more data analytics to the application teams.

• Register and troubleshoot Gateway Service with API Connect Gateway object on Data Power appliance

• Configure Mutual Authentication mechanism by creating Identification Credentials and Validation credentials to validate the server certificates

• Create organizations in API Connect to provide the architecture to create APIs using API connect manager

• Ability to create spaces and products on APIC and support multiple teams using them

• Knowledge of concepts and implementation of these on APIC – JWT, Bearer, Basic AUTH

• Integration with LDAP and troubleshooting

• WTX, COBOL Copybook, XML, XSL, Gateway scripting

• Networking concepts and integration with AWS concepts like VPC, NLB, etc

• Cloudwatch integration