Business Analyst

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.

equired Skills:

• 6–10 years of hands-on experience in C++ development for embedded or automotive systems.
• Strong knowledge of networking protocols: TCP/IP, UDP.
• Experience working with RTOS, bare-metal or Linux-based embedded environments.
• Exposure to Aerospace standards and development lifecycle (e.g., DO-178C, ARP4754) is a must.
• Good understanding of microcontroller/microprocessor architectures.
• Familiarity with version control (e.g., Git), debugging tools, and performance tuning.
• Excellent analytical, problem-solving, and communication skills.

Overview Of Responsibilities:

Create the vision and product roadmap for the next generation of ground operations solutions; articulate and evangelize it across internal and external stakeholders

Work closely with Operations and Planning teams to improve business processes and network design

Work closely with Data, Engineering and Design teams to define and build products that help us deliver high - precision and low cost services

Be the key driving force behind building additional products service capabilities

Qualifications:

A degree in engineering or a related technical discipline from Tier - I institute a must

8 - 12 years of product management experience in internet startups/supply chain organization / SaaS products or e-commerce; B2B / B2B2C experience preferred.

Strong communication and organization skills, as well as the ability to think clearly, analyze quantitatively, problem-solve, multi-task, and prioritize

Sound business judgment, attention to detail, proven ability to influence others, demonstrated experience engaging and influencing senior executives, and a strong analytical mindset

Proven track record of independently building and launching technology products from the ground up; delivering within time, budget, and quality

Demonstrated ability to turn customer needs and pain points into innovative products

The ability to thrive in a fast-paced, deadline-driven environment, along with the tenacity to develop ideas independently and the conviction to drive them to completion is crucial for this

Retrieve and analyze data, and establish key business metrics to measure product success and drive alignment across all teams to improve their role

Domain knowledge of supply chain/logistics is preferable, but not required,

Job Opening: Engineer / Sr. Engineer – Instrumentation & Control (I&C)

Location: Airoli, Navi Mumbai

Department: Engineering – E&I

Experience Required: 5–8 Years

Qualification: BE / B.Tech in Instrumentation Engineering

Water & Wastewater Treatment, Desalination, O&M, Recycle & Reuse, Sludge Treatment, and Sustainability Consulting.

Key Responsibilities:

• Detailed study of tender documents and preparation of specifications & datasheets for PLC, instruments, cables, JB, trays, etc.
• Review of P&IDs
• Preparation of Instrument Index, I/O List, Hook-up Drawings, BOQ
• Design calculations including UPS sizing
• PLC system architecture, interconnection diagrams, wiring schemes
• Instrument cable tray/rack layouts and electronic earthing layouts
• Preparation of cable schedules, termination schedules
• Technical evaluation of vendor offers (PLC, instruments, VFDs, control valves, cables, JB, trays)
• Vendor drawing review and participation in FAT
• Interaction with clients and vendors for technical queries
• Support site teams during installation and commissioning
• Handle multiple EPC projects with minimal supervision

Key Skills Required:

• I&C Design for Water / Wastewater / STP / ETP plants
• Instrument selection (Flow, Pressure, Level, Temperature, Analytical)
• PLC systems & third-party communication
• Control room & equipment layout
• Knowledge of ISA standards
• Technical bid evaluation & procurement support
• AutoCAD (working knowledge)
• MS Office (Excel, Word)

Additional Desirable Skills:

• SPI knowledge
• Boolean Logic understanding

Job Title: Lead Backend Developer

Location: Bengaluru, India 

iAI Solution Pvt Ltd (https://iaisolution.com/),operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insight across domains.

Position Summary:

• We are looking for a Lead Backend Developer with 4+ years of professional experience in Python-based development, especially using FastAPI and MongoDB. The ideal candidate is skilled in building and maintaining scalable, high-performance back-end services and APIs, has strong understanding of modern database design (SQL & NoSQL), and has experience integrating backend services with cloud platforms.
• Experience or interest in AI/ML projects is a strong plus, as our products often interface with LLMs and real-time AI pipelines.
• Key Responsibilities:
• Design, build, and maintain robust backend services using Python and FastAPI.
• Develop and maintain scalable RESTful APIs for internal tools and third-party integrations.
• Work with MongoDB, PostgreSQL, and Redis to manage structured and unstructured data efficiently.
• Collaborate with frontend, DevOps, and AI/ML teams to deliver secure and performant backend infrastructure.
• Implement best practices in code architecture, performance optimization, logging, and monitoring.
• Ensure APIs and systems are production-ready, fault-tolerant, and scalable.
• Handle API versioning, documentation (Swagger/OpenAPI), and error management.
• Optimize queries, indexes, and DB schema for high-performance data access.
• Maintain clean code with emphasis on object-oriented principles and modular design.
• Troubleshoot production issues and deliver timely fixes and improvements.

Qualifications:

• Overall Experience: 4+ years in backend software development.
• Python: Strong proficiency with object-oriented programming.
• Frameworks: Hands-on experience with FastAPI (preferred), Django.

Databases:

• MongoDB: Experience with schema design, aggregation pipelines, and indexing.
• Familiarity with SQL databases (PostgreSQL/MySQL).
• Experience with Redis and optionally Supabase.

API Development:

• Proficient in building and documenting REST APIs.
• Strong understanding of HTTP, request lifecycles, and API security.

Testing & Debugging:

• Strong debugging and troubleshooting skills using logs and tools.

Performance & Scalability:

• Experience optimizing backend systems for latency, throughput, and reliability.

Tools:

Git, Docker, Linux commands for development environments.

Must-Have Skills:

• Proficiency in Python and object-oriented programming
• Strong hands-on experience with FastAPI (or similar async frameworks)
• Knowledge of MongoDB for schema-less data storage and complex queries
• Experience building and managing REST APIs in production
• Comfortable working with Redis, PostgreSQL, or other data stores
• Experience with Dockerized environments and Git workflows
• Solid grasp of backend architecture, asynchronous programming, and performance tuning
• Ability to write clean, testable, and maintainable code

Good-to-Have Skills:

• Experience with asynchronous programming using async/await
• Integration with third-party APIs (e.g., Firebase, GCP, Azure services)
• Basic understanding of WebSocket and real-time backend patterns
• Exposure to AI/ML pipelines, model APIs, or vector DBs (e.g., FAISS)
• Basic DevOps exposure: GitHub Actions, Docker Compose, Nginx
• Familiarity with JWT, OAuth2, and backend security practices
• Familiarity with CI/CD pipelines and versioning
• Basic understanding of GraphQL or gRPC is a plus

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 
  
• Demonstrated experience delivering production-grade backend services
• 
  
• Experience working in agile teams and using tools like Jira
• 
  
• Familiarity with Agile/Scrum methodologies and sprint cycles
• 
  
• Interest or experience in AI/ML-integrated systems is a plus
• 
  

Perks & Benefits:

• Competitive salary with performance-based bonuses
• Opportunity to work on AI-integrated platforms and intelligent products
• Access to latest tools, cloud platforms, and learning resources
• Flexible working hours and hybrid work options
• Wellness initiatives and team-building activities

Java Developer – Job Description Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. Required Skills: • Exp. - 4 to 7 years. • Experience in Core Java and Spring Boot. • Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns. • Should have the ability to analyze, design, develop and test complex, low-latency clientfacing applications. • Good development experience with RDBMS. • Good knowledge of multi-threading and high-performance server-side development. • Basic working knowledge of Unix/Linux. • Excellent problem solving and coding skills. • Strong interpersonal, communication and analytical skills. • Should have the ability to express their design ideas and thoughts.

• Python developer with Django experience
• 6-8 yrs of total experience
• Strong communication is a MUST

Job Title: Business Analyst - Healthcare domain for Software Company - Chennai

3 to 5 yrs of experience in Business Analysis Role

Prefer - Health care domain experience atleast 1 year currently

• Requirement collections, Functional Analysis, SRS Preparation
• INteract with Developers, Designers, Architects, PM & Client
• Should have Agile Project Management practices
• Good in communication skills

MoEngage is a fast-paced startup that’s helping companies run smart marketing efforts in their effort to reach the customer. We are a leading Marketing Technology Stack provider that is helping brands redefine their customer engagement in the mobile era. Brands use MoEngage to drive long-term, personalised and context-based engagement across channels to help achieve increased customer retention as well as customer LTV. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyses billions of data points generated by customers and their devices, to predict customer behavior and build marketing campaigns that proactively engage users.

In just four years since inception, MoEngage is working with leading brands across e-commerce, entertainment, travel, publishing and banking domains among others. With marquee clients like Vodafone, Oyo, Airtel, McAfee, MoEngage has over 125+ paying Customers in the Enterprise & Internet companies space in India, US, South East Asia & EU. With a global presence spanning 35 countries, MoEngage has offices in San Francisco, Berlin, Jakarta, and Bengaluru.

Today, MoEngage is an industry pioneer in the space and engages more than 350M devices. This includes approximately 40B events tracked per month, 30B+ messages sent, to millions of users across the globe.

As part of the Engineering team at MoEngage, here are some things you can expect:

• Take ownership and be responsible for what you build - no micro management
• Work with A players (some of the best talent in the country), and expedite your learning curve and career growth
• Make in India and build for the world at scale of 350M active users, which no other internet company in the country has seen
• Learn together from different teams on how they scale to millions of users and billions of messages. 
• Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team 

and more importantly have fun while you work on scaling MoEngage.

Push team is one of the core teams at MoEngage, responsible for sending close to a billion notifications everyday to help clients engage their users better. As a member of the Push team, you will be working on developing high performance solutions to deliver personalised and context-based notifications across various channels to help achieve increased customer retention as well as customer LTV. You will also be working on designing and building features to help clients to provide customised experience for end users allowing them to have a more personalised experience at scale. Here you will have a chance to own systems and develop features end to end i.e right from inception to deployment. Though we work at scale, reliability is of utmost importance for us and we build in house solutions like Campaign Watcher & AutoBatchRunner to ensure 100% transparency and delivery of notifications

• Proven experience in handling large infrastructure and distributed systems
• Familiarity with Python related technologies and frameworks like Django or Pyramid.
• Familiarity with at least one of the cloud computing infrastructure - GCP / Azure / AWS
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Tech Stack - Python, Falcon, Elastic Search, MongoDB, AWS (SQS S3), Linux, Map Reduce