
What you'll do:
- Partner closely with Product Design, Engineering, and Product Management to understand requirements and deliver product features and roadmap as envisioned by stakeholders.
- Own end-to-end user journey and all aspects of design execution from ideation, to prototyping, to user acceptance testing of product design tasks assigned.
- Conduct user interviews, user testing sessions, card sorting, affinity mapping, conduct both qualitative and quantitative tests, and analyze the data.
- Design high-impact, functional responsive interfaces for web and mobile
- Collaborate with other designers and participate in our design critique process, to receive and provide feedback on design work
- Manage and contribute to Kaizen - Beaconstac's Design System
Skills you bring to the table:
- Experience in designing SaaS products with large customer bases
- Deep expertise using Figma/Xd/Sketch, and familiarity with design systems
- Knowledge of Carbon - IBM's Design system or experience building a design system from scratch is a plus.
- Fundamental understanding of the end-to-end iterative UX design process — research, ideation, information architecture, prototyping, validation, and refining solutions into pixel-perfect deliverables.
- Ability to articulate design decisions throughout the user-centered design process.
- Ability to update and engage with stakeholders like product managers and engineers.
- Relevant fundamental knowledge of front-end technologies to collaborate with UI engineering teams will be an advantage.

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Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.
Location: Remote (India only)
Role Overview
We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.
Key Responsibilities
- Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
- RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
- Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
- Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
- System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
- Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
- Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
- Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .
Required Skills and Qualifications
- Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
- LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
- AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
- Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
- Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
- Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
- Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
- Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.
Preferred (Bonus) Qualifications
- Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
- Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
- Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !
Perks of working at Certa.ai:
- Best-in-class compensation
- Fully-remote work with flexible schedules
- Continuous learning
- Massive opportunities for growth
- Yearly offsite
- Quarterly hacker house
- Comprehensive health coverage
- Parental Leave
- Latest Tech Workstation
- Rockstar team to work with (we mean it!)


About Us
We are a company where the ‘HOW’ of building software is just as important as the ‘WHAT.’ We partner with large organizations to modernize legacy codebases and collaborate with startups to launch MVPs, scale, or act as extensions of their teams. Guided by Software Craftsmanship values and eXtreme Programming Practices, we deliver high-quality, reliable software solutions tailored to our clients' needs.
We thrive to:
- Bring our clients' dreams to life by being their trusted engineering partners, crafting innovative software solutions.
- Challenge offshore development stereotypes by delivering exceptional quality, and proving the value of craftsmanship.
- Empower clients to deliver value quickly and frequently to their end users.
- Ensure long-term success for our clients by building reliable, sustainable, and impactful solutions.
- Raise the bar of software craft by setting a new standard for the community.
Job Description
This is a remote position.
Experience Level
This role is ideal for engineers with total 8+ years of experience in which around 6+ years of hands-on software development experience and 2+ years of leadership experience, with a proven track record of shipping complex projects successfully.
It aligns with the expectations of a Staff Crafter- an experienced individual contributor and leader who thrives in large, complex projects with widespread impact.
Role Overview
As a Staff Engineer (Staff Crafter), you’ll ensure that projects don’t just get built — they get shipped. You’ll be the driving force behind architecture design, technical decision-making, project delivery, and stakeholder communication.
A Staff Crafter is a multiplier for any team:
- Able to independently own ill-defined, highly ambiguous projects.
- Thinks holistically across Product, Design, Platform, and Operations to deliver highly impactful solutions.
- Shapes roadmaps to tackle complex problems incrementally.
- Raises the quality, correctness, and suitability of their team’s work, with visible impact across their business domain and beyond.
- Strong mentor, role model, and coach for other engineers.
If you take pride in shipping high-quality software, mentoring teams, and creating an environment where engineers can thrive, we’d love to hear from you.
What You’ll Do
- Lead projects end-to-end, from architecture to deployment, ensuring timely, high-quality delivery.
- Collaborate with Engineering and Product Managers to plan, scope, and break work into manageable tasks.
- Always know if the project can ship, with clear trade-offs when needed.
- Drive technical decisions with a shipping-first mindset and active participation in key meetings.
- Maintain deep knowledge of your services, identifying risks and creating mitigation strategies.
- Review code for quality and best practices, mentoring engineers to improve their craft.
- Communicate clearly with stakeholders, set realistic expectations, and build trust.
- Support and guide engineers, helping unblock issues and foster collaboration.
- Anticipate challenges, prepare fallback plans, and facilitate problem-solving.
- Keep documentation accurate, up-to-date, and accessible.
As a Staff Crafter, you will also:
- Lead highly ambiguous projects of critical business impact, balancing engineering, operational, and client priorities.
- Link technical contributions directly to business impact, helping the team and stakeholders align.
- Contribute meaningfully to team goals, with visibility into business objectives over multiple quarters.
- Ensure safe rollout of new features through incremental releases, monitoring, and metrics.
- Anticipate and mitigate risks across connected systems, ensuring minimal operational impact.
- Proactively improve system quality and longevity while leveling up those around you.
- Shape roadmaps, vision, and practices of the engineering discipline, influencing both your team and the wider business.
Requirements
What We’re Looking For
- 6+ years of software development experience with strong architectural design skills.
- 2+ years in a technical leadership role, managing pods or cross-functional teams.
- Proficiency in system design, service ownership, and technical documentation.
- Strong experience with code reviews and quality assurance practices.
- Proven ability to communicate effectively with technical and non-technical stakeholders.
- Track record of delivering complex projects on time.
As a Staff Crafter, you will also bring:
- Ability to own large, complex projects with widespread impact.
- Demonstrated influence beyond the immediate team, shaping outcomes across a business domain.
- Strengths in stakeholder management and navigating complex scenarios.
- Skills in deliberate discovery to uncover unknowns and design solutions that succeed in real-world conditions.
Benefits
What We Offer
Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.
Conference Talks Sponsorship: Amplify your voice! If you’re speaking at a conference, we’ll fully sponsor and support your talk.
Cutting-Edge Projects: Work on exciting projects with the latest AI technologies
Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance.
Comprehensive Medical & Term Insurance: Full coverage for you and your family’s peace of mind.
And More: Extra perks to support your well-being and professional growth.
Work Environment
- Remote-First Culture: At Incubyte, we thrive on a culture of structured flexibility — while you have control over where and how you work, everyone commits to a consistent rhythm that supports their team during core working hours for smooth collaboration and timely project delivery. By striking the perfect balance between freedom and responsibility, we enable ourselves to deliver high-quality standards our customers recognize us by. With asynchronous tools and push for active participation, we foster a vibrant, hands-on environment where each team member’s engagement and contributions drive impactful results.
- Work-In-Person: Twice a year, we come together for two-week sprints to collaborate in person, foster stronger team bonds, and align on goals. Additionally, we host an annual retreat to recharge and connect as a team. All travel expenses are covered.
- Proactive Collaboration: Collaboration is central to our work. Through daily pair programming sessions, we focus on mentorship, continuous learning, and shared problem-solving. This hands-on approach keeps us innovative and aligned as a team.
Incubyte is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
- 2+ years of hands-on experience in Java development.
- Strong knowledge of Boto3/Boto AWS libraries (Python).
- Solid experience with AWS services: EC2, ELB/ALB, CloudWatch.
- Familiarity with SRE practices and maintenance processes.
- Strong experience in debugging, troubleshooting, and unit testing.
- Proficiency with Git and CI/CD tools.
- Understanding of distributed systems and cloud-native architecture.
Note: It's a Full-Time Contract based Opportunity for (6-12 months).
And follow to keep updated.
This candidate will be responsible for building a clean and effective user experience for our customers. By working cross-functionally, this candidate will understand the needs of the product management, engineering, and business stakeholders and will be able to build solutions that fit those needs.
Responsibilities
- Ensure that established design standards are consistently and appropriately applied within design work
- Engage with product management, engineering, business stakeholders, and third-party vendors to understand the project
- Develop and present documentation, user flows, annotated wireframes, and interactive prototypes
- Leverage user testing to make product improvements
Qualifications
- Bachelor's degree or equivalent in Human-Computer Interaction (HCI), Design, or a related field of study
- 4-8 years of experience in design
- Proficient in visual design and wireframing tools
- Experience in Fintech and B2B chat or social media products will add(ex: Facebook, Instagram, etc)
- Remote work
Sales Head – Enterprise Security and Cloud(National Role)
Job Sector: IT, Software
Job Type: Permanent
Location: Mumbai
Experience: 18 - 25 Years
Salary: 35 - 50 LPA
Education: Any Professional
Notice Period: max 30 Days
Key Skills: enterprise sales, enterprise security solutions, security solutions
Interviewer Comment: Webx for interview
Contact at triple eight two zero nine four two double seven
Key Notes: Candidate should ONLY be from enterprise security solutions.
ROLES & RESPONSIBILITIES:
- Business Strategist:
- Establish a strategy and execute a sales approach plan.
- Building a cadence for effective reviewing, monitoring & tracking business health.
- Domain expertise across industry verticals like Manufacturing, Telecom, Govt/PSUs, Health Care & BFSI.
- Business Management
- Excellence in business forecasting accuracy. § Market intelligence. § Strategizing market positioning statements of solutions/services offered. § Achieve establishedrevenue and profit targets. § Account receivables targets to be made in time without defaults
- Drawing Leverage:
- Collaborating with Presales, Practice & Delivery. § Recognizing & establishing strong partner eco-system. § Setting clear objectives & expectations from Business Support Functions.
- Building a High-Performance Team of Over-Achievers
- Acquired Sales Certifications related to solutions & services. § Nurture a positive, high-energy, high-performance culture among your team members. § Business experts & technology aware.
- KRA’s
- Engage with the customer in their digital transformation and deliver sales results and contribute to revenue growth for Securityand Cloud services in ISL’s Key verticals §Analysing client’s business, goals, strategies, industry trends and directions to develop compelling value propositions for the client that result in a win
RELEVANT YEARS OF EXPERIENCE:
- 15+ years of sales-leadership experience spanning across Enterprise Security & Cloud
EDUCATION:
- Bachelor or Post Graduate in Engineering.
- Post-Graduation in Business Administration is preferred.
Experience:
- Minimum 10 years of selling Enterprise Security solutions & services, including Threat Intelligence & Response, Identity & Access Management, Data Loss Prevention, Threat Migration, Security & Vulnerability Management, Intrusion Prevention System, Enterprise Risk & Compliance, Managed Security &Professional Solutions and Cloud Application Development & Maintenance services, Cloud Infrastructure Services, Application Development & Maintenance services § To build, maintain and lead sales in Enterprise Security & Cloud, with more focus on Enterprise Security. § Must have good knowledge of Indian IT services market § Excellence in penetrating into Enterprise Security solutions & services and Cloud, for various industry verticals like Manufacturing, Telecom, Govt/PSUs, Health Care, BFSI, Retail, IT & Tele-Communications, Other End-User Industries, etc. § Must have lead a sales team of at least 25 people selling the above mentioned Services § Must have brought in new sales of at least 75 Cr -100 Cr in Software Services in Domestic market meeting the margin requirements each year. § Able to build high performance sales team. § Need to mentor team and lead from the front. § Good ability to be able to understand market trend and work closely with Tech team to build new services § Ability to set sales target to the team and help to realize the same as a team
- Generate revenue by pitching prospects and converting them to sales.
- Meet and exceed pipeline contribution goals
- Respond quickly to assigned leads
- Willingness to be measured by weekly and monthly metrics.
- Use and become an expert on the Customer Relationship Management (CRM) system.
- Fully Responsible for meeting targets as assigned Periodically
- Comfortable with cold calling
- Experience from Event Industry and Artist Management space is a must
- Brilliant Negotiations Skills
- Good Communication Skills, Smart Worker
- Flexible, Able To Shift Priorities To Accommodate Changing Demands
- The ability to break the ice, and engage in extensive networking & socializing at various platforms
- Experience in working on CRM (eg- PipeDrive, Salesforce, Zoho) would be a plus
Skills required:
Expertise in core java
Strong skills in algorithms, data structures and object-oriented programming
Strong skills in designing scalable web systems
Experience in working on REST services and libraries like spring and hibernate
Experience in writing complex queries and understanding of database concepts and configurations (MySQL)
Understanding of design patterns.
Experience in micro services architecture will be a plus.
Good to have:
Experience in third party integrations.
Experience - 3- years in Java Backend integration


