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Technical Assistant

Location: Bengaluru ( Koramangala & Bommasandra)

About Us:

Rekise Marine is a startup focused on sustainably enhancing the utility of oceans through autonomous robotic infrastructure. Our efforts center on developing advanced autonomous technology for the maritime industry, serving both defense and commercial sectors globally. We specialize in creating autonomous vessels both surface and underwater as well as autonomous port infrastructure. Currently, we are building the flagship autonomous platform of the Indian Navy.

About the role:

We are currently seeking a talented individual with an ITI/Diploma or Engineering Degree in Mechanical/Electrical and having strong technical and administrative skills.  In this role, you'll play a crucial part in the development process of our unmanned marine vessels, ensuring highest performance and reliability standards. 

Key Responsibilities:

1. Provide technical support and assistance in product development and maintenance. 
2. Assist in testing, troubleshooting, and quality control.
3. Handle procurements and inventory management.
4. Perform administrative tasks such as filing and coordinating with our clients.
5. Maintain a clean/organised work environment, ensuring safety and efficiency.

Requirements:

1. ITI/Diploma or Engineering Degree in Mechanical/Electrical or related field.
2. Good understanding of basic mechanical principles.
3. Proficient in MS Office applications.
4. Willingness to learn and adapt to new technologies and processes.
5. Strong problem-solving skills and attention to detail.
6. Excellent communication and interpersonal skills.
7. Locals preferred with a minimum of one year experience or Freshers also welcome

Selection Procedure: CV shortlisting, Online assessment  and F2F Interview.

Strong Customer Success Manager / Implementation Manager / Post-Sales Delivery (B2B SaaS – US Customers) Profiles

Mandatory (Experience 1): Must have 3+ years of experience in Customer Success roles within B2B SaaS companies, primarily working with US-based customers.

Mandatory (Experience 2): Must have experience owning end-to-end customer onboarding and implementations, including requirement discovery, onboarding execution, go-live ownership, and early adoption success

Mandatory (Experience 3): Must have strong project management and customer communication skills, owning onboarding timelines, running regular customer check-ins, managing CXO-level stakeholders, and proactively flagging risks or blockers.

Mandatory (Experience 4): Must have worked in post-sales, non-quota-carrying roles focused on customer success, retention, and long-term relationship management (upsell is not mandatory)

Mandatory (Experience 5): Must have a conceptual understanding of SaaS products and APIs, with the ability to understand workflows, follow integration issues, and coordinate effectively with technical teams (hands-on coding not required).

Mandatory (Note): Must be willing to work in US time zones (approx. 4:30 AM IST onwards, Mon–Fri).

Mandatory (Company): B2B SaaS (Technical complex)

Specific Knowledge/Skills

1. 4-6 years of experience
2. Proficiency in Python programming.
3. Basic knowledge of front-end development.
4. Basic knowledge of Data manipulation and analysis libraries
5. Code versioning and collaboration. (Git)
6. Knowledge for Libraries for extracting data from websites.
7. Knowledge of SQL and NoSQL databases
8. Familiarity with RESTful APIs
9. Familiarity with Cloud (Azure /AWS) technologies

🧭 VP – Sales Framework

1. Job Description (JD)

Designation: Vice President – Sales

Department: Sales & Marketing

Reports To: Directors

Purpose:

To lead and drive the organisation’s revenue generation, sales strategy, and market

positioning across all real-estate projects. The VP – Sales is accountable for building a

high-performance in-house sales engine, nurturing a strong channel partner network, and

ensuring optimal sales velocity with a 70:30 ratio between direct and channel sales. The role

requires balancing strategic oversight with hands-on execution — from market mapping and

budgeting to team leadership, compliance, and brand representation.

2. Key Responsibility Areas (KRAs)

KRA Description Key Deliverables / KPIs

1. Sales Strategy &

Revenue

Achievement

Design and implement sales

plans to achieve quarterly and

annual targets for all projects.

Maintain 70:30 Direct vs Channel

Sales ratio.

Achieve ≥ 25 sales at launch and

≥ 6 sales per quarter post-launch-

Maintain approved sales ratio

(variation only with Director

approval)

2. Team Building &

Leadership

Recruit, train and lead a

complete in-house sales

ecosystem (Marketing,

Pre-Sales, Closures, CRM).

Team hiring completed within plan

timelines- ≥ 80% staff target

achievement- Attrition < 10%

3. Channel Partner

Network

Development

Identify and onboard

RERA-registered channel

partners; maintain strong

relationships to drive sales.

Number of active partners ≥ 50

per project- Channel sales closure

contribution ≤ 30% of total saleMarket

Intelligence &

Positioning

Conduct competitive project

analysis and define pricing, USP

and marketing narrative.

Quarterly market mapping report-

Price positioning and sales velocity

alignment with market data

5. Marketing &

Brand Direction

Oversee development and

approval of marketing collaterals

(flyers, brochures, videos,

hoardings).

Timely release of marketing

assets- All creatives approved by

VP Sales prior to publishing

6. Budget & ROI

Accountability

Manage marketing and sales

budgets — max 2% of property

sale value (all inclusive).

Quarterly budget utilisation ≤ 2%

cap- In-house incentives ≤ 0.2%

per sale- Expense-to-result ratio

review each quarter

7. Process & CRM

Governance

Establish robust

lead-management and

confidential CRM SOPs to

prevent leakage.

100% lead traceability and

confidentiality compliance- SOP

audit pass each quarter

8. Legal &

Documentation

Alignment

Finalise EOI, Booking Forms, CP

Agreements with Legal and

Directors.

Templates standardised before

launch- Zero legal deviation in

customer documentation

9. Events & Brand

Engagement

Plan and execute Channel

Partner meets and sales events.

Minimum 1 major CP event per

quarter- ≥ 75% attendance of top

partners

10. Reporting &

Performance

Review

Maintain weekly sales

dashboards and monthly

management reports.

Accurate report submission by 1st

week of each month- Variance

analysis with corrective actions

Lead AI Engineer

Location: Bengaluru, Hybrid | Type: Full-time

About Newpage Solutions

Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations—which include pharmaceutical, biotech, and healthcare leaders—to build transformative AI and data-driven technologies addressing real-world health challenges.

From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices.

We are proud to be a ‘Great Place to Work®’ certified company for the last three consecutive years. We also hold a top Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview.

As an organisation, we foster creativity, continuous learning, and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives.

Your Mission

We’re seeking a highly experienced, technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions.

This is an individual-contributor leadership role for someone who thrives on ownership, fast execution, and technical excellence. You will define the standards for quality, scalability, and innovation across all AI initiatives.

What You’ll Do

Develop AI Applications & Agentic Systems

• Architect, build, and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations.
• Implement Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone, ChromaDB, Weaviate, pgvector, etc.) and search engines such as ElasticSearch / Solr using both TF/IDF BM25-based full-text search and similarity search techniques.
• Implement guardrails, observability, fine-tune and train models for industry or domain-specific use cases.
• Build multi-modal workflows using text, image, voice, and video.
• Design robust prompt & context engineering frameworks to improve accuracy, repeatability, quality, cost, and latency.
• Build supporting microservices and modular backends using Python, JavaScript, or Java aligned with domain-driven design, SOLID principles, OOP, and clean architecture, using various databases including relational, document, Key-Value, Graph, and event-driven systems using Kafka / MSK, SQS, etc.
• Deploy cloud-native applications in hyper-scalers such as AWS / GCP / Azure using containerisation and orchestration with Docker / Kubernetes or serverless architecture.
• Apply industry best engineering practices: TDD, well-structured and clean code with linting, domain-driven design, security-first design (secrets management, rotation, SAST, DAST), comprehensive observability (structured logging, metrics, tracing), containerisation & orchestration (Docker, Kubernetes), automated CI/CD pipelines (GitHub Actions, Jenkins).

AI-Assisted Development, Context Engineering & Innovation

• Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability.
• Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents, and more to create developer workflows that improve development velocity, standardisation, and reliability across AI teams.
• Ensure industry best practices to develop well-structured code that is testable, maintainable, performant, scalable, and secure.
• Partner with Product, Design, and ML teams to translate conceptual AI features into scalable user-facing products.
• Provide technical mentorship and guide team members in system design, architecture reviews, and AI best practices.
• Lead POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques.

What You Bring

• 7–12 years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI.
• Experience with cloud-native deployments and services in AWS / GCP / Azure, with the ability to architect distributed systems.
• A ‘no-compromise’ attitude with engineering best practices such as clean code, TDD, containerisation, security, CI/CD, scalability, performance, and cost optimisation.
• Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents.
• A deep understanding of LLMs, context engineering approaches, and best practices, with the ability to optimise accuracy, latency, and cost.
• Python or JavaScript experience with strong grasp of OOP, SOLID principles, 12-factor application development, and scalable microservice architecture.
• Proven track record developing and deploying GenAI/LLM-based systems in production.
• Advanced understanding of context engineering, prompt construction, optimisation, and evaluation techniques.
• End-to-end implementation experience using vector databases and retrieval pipelines.
• Experience with GitHub Actions, Docker, Kubernetes, and cloud-native deployments.
• Obsession with clean code, system scalability, and performance optimisation.
• Ability to balance rapid prototyping with long-term maintainability.
• Excel at working independently while collaborating effectively across teams.
• Stay ahead of the curve on new AI models, frameworks, and best practices.
• Have a founder’s mindset and love solving ambiguous, high-impact technical challenges.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical discipline.

Bonus Skills / Experience

• Understanding of MLOps, model serving, scaling, and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker).
• Experience building streaming + batch data ingestion and transformation pipelines (Spark / Airflow / Beam).
• Mobile and front-end web application development experience.

What We Offer

• A people-first culture – Supportive peers, open communication, and a strong sense of belonging.
• Smart, purposeful collaboration – Work with talented colleagues to create technologies that solve meaningful business challenges.
• Balance that lasts – We respect your time and support a healthy integration of work and life.
• Room to grow – Opportunities for learning, leadership, and career development, shaped around you.
• Meaningful rewards – Competitive compensation that recognises both contribution and potential.

Job Summary:

We are seeking a skilled Python Developer with a strong foundation in Artificial Intelligence and Machine Learning. You will be responsible for designing, developing, and deploying intelligent systems that leverage large datasets and cutting-edge ML algorithms to solve real-world problems.

Key Responsibilities:

• Design and implement machine learning models using Python and libraries like TensorFlow, PyTorch, or Scikit-learn.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Develop APIs and integrate ML models into production systems using frameworks like Flask or FastAPI.
• Collaborate with data scientists, DevOps engineers, and backend teams to deliver scalable AI solutions.
• Optimize model performance and ensure robustness in real-time environments.
• Maintain clear documentation of code, models, and processes.

Required Skills:

• Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of ML algorithms (classification, regression, clustering, deep learning).
• Experience with data pipeline tools (e.g., Airflow, Spark) and cloud platforms (AWS, Azure, or GCP).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD practices.
• Solid grasp of RESTful API development and integration.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 2–5 years of experience in Python development with a focus on AI/ML.
• Exposure to MLOps practices and model monitoring tools.

• Create and lead innovative programs, software, and analytics that drive improvements to the availability, scalability, efficiency, and latency of the application
• Work with Directors to define and execute technical strategy and arbitrate technical processes and decisions.
• Work with development teams to guide future technology choices and foster cross-team collaboration
• Work across all teams to help define and clarify requirements, explore technical feasibility, and help define product directions and plans.
• Work closely with product & engineering leaders and tech leads to turn requirements into actionable plans that teams can understand.
• Define, Refine & Develop POCs in quick turnaround time and demonstrate the same to all stakeholders effortlessly
• Embed with teams from time to time to write code, provide technical guidance, etc.
• Very deep knowledge of the entire tech stack. Excellent understanding of the entire SDLC.
• Provides a multiplier effect in getting stuff done.
• Acts as SME for the team or product area within the Engineering organization and for cross-functional organizations as well.
• Teaches others why new features are important. Good understanding of customer use cases.

• A Bachelor's degree in any technical discipline
• Minimum 5 years of experience administering AEM applications
• Build management using Bamboo/Jenkins or relevant tech
• Configuration and Release management
• Design and build enablement
• Good communication skills

Graphic designer will have to create visual communications to convey messages in an effective and aesthetically pleasing manner. 

Job responsibilities

·        Understand the current technical architecture including constraints related to platforms, standards and skillsets.
·        Review and integrate all application requirements, including functional, integration, security, performance, quality, and operations.
·        Review designs, documents and have hands-on coding exp.
·        Follow up the activities and team commitments to deliver the right solution at the right time.
·        Review and integrate the technical architecture requirements for the development and make all final decisions regarding system software.
·        Follow and adopt approaches, methodologies, and SDLC standards.
·        Apply techniques and skills required to identify a root cause of a given software integration issue.
·        Escalate encountered technical software issues to project leadership in a timely fashion and respond back consistently on time.
·        Acts as the technical subject matter expert for a product domain and the technical leader within a team
·        Leads and sets the direction for design and implementation of software features/functionality, correction of defects and/or creation of new products
·        Applies advanced systems analysis techniques to evaluate newly created code
·        Provides thought leadership and innovation within a technical domain

.       documents and communicates on complex technical topics outside the immediate development team

Qualifications:

·        Bachelor/Master’s degree in CS or Computer Engineering required
·        5+ years of programming experience in web applications development
·        Hands on Angular development experience 
·        Working knowledge of HTML and CSS
·        Working knowledge in Designing, Developing, and Deploying RESTful web services and other Web APIs.
·        Deep knowledge of Web Application Architecture and Object oriented design. Should have practical knowledge of design on more than two web applications.
·        Should be able to technically lead a small group of members