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Strong BDR/Inside sales profile
Mandatory (Experience): Must have 1+ years of experience in sales, business development, or lead generation with at least 6 months+ in complex/technical B2B SaaS products
Mandatory (Market Exposure): Must have direct experience selling into or prospecting the US or North America market, candidates with APAC-only or Middle East-only market exposure will not be considered.
Mandatory (Outbound Sales Execution): Must have hands-on experience in cold calling, email outreach, LinkedIn prospecting, lead qualification, and demo or meeting scheduling with Account Executives, inbound only experience wouldn't be considered
Mandatory (Prospecting Tools): Must have working experience with LinkedIn Sales Navigator, Apollo, or similar prospecting platforms in addition to CRM tools such as HubSpot, Salesforce, Zoho, or Freshsales.
Mandatory (Communication): Must have strong verbal and written communication skills
Mandatory (Company Background): B2B SaaS companies.
About US:-
We turn customer challenges into growth opportunities.
Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.
We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.
Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners.
Job Description: Sr. Full Stack Engineer (Python, JavaScript & AI Engineering) – 7-8 years
Role Summary
We are seeking an experienced Sr. Engineer/Technical Lead with strong expertise in Python, JavaScript/TypeScript, and AI-native application development. The ideal candidate will build scalable cloud applications, architect intelligent systems powered by Large Language Models (LLMs), drive engineering excellence, and help teams adopt modern AI-assisted development practices. This is a hands-on leadership role combining software engineering, AI integration, and technical mentorship.
Key Responsibilities
- Design, develop, and maintain scalable applications using Python and JavaScript/TypeScript.
- Build APIs, microservices, and event-driven cloud-native solutions.
- Design and implement AI-enabled features using LLMs, RAG, structured outputs, and tool integrations.
- Build and maintain agentic workflows for business automation and developer productivity.
- Leverage AI coding assistants and code agents to improve software delivery and engineering efficiency.
- Integrate enterprise services including authentication, SSO, authorization, and internal platforms.
- Collaborate with platform teams to deploy and operate applications on AWS or Azure.
- Drive engineering best practices including CI/CD, testing, observability, code reviews, and secure development.
- Document architectures, APIs, AI workflows, and key technical decisions.
- Mentor engineers and help teams adopt modern AI-first development practices.
Required Skills
- Strong hands-on experience building production applications with Python.
- Good experience with JavaScript or TypeScript and modern application architectures.
- Experience designing REST APIs, microservices, and distributed systems.
- Practical understanding of LLMs, prompt engineering, RAG, embeddings, vector search, and AI application patterns.
- Experience integrating commercial or open-source AI models into production systems.
- Hands-on experience using AI coding assistants and code agents to accelerate development.
- Understanding of agent orchestration concepts and Model Context Protocol (MCP).
- Experience with AWS or Azure cloud platforms.
- Experience with CI/CD, automated testing, code quality, and application observability.
- Strong communication, documentation, and technical leadership skills.
Good-to-Have Skills
- Experience with AI orchestration frameworks such as LangGraph, CrewAI, Semantic Kernel, or similar.
- Knowledge of FastAPI, Node.js, React, or Next.js.
- Experience with containers and Kubernetes.
- Exposure to AI evaluation, guardrails, and production monitoring.
- Experience mentoring teams and driving AI adoption across engineering organizations.
Data Strategy and Planning:
Collaborate with stakeholders to develop and implement data management strategies aligned with business objectives.
Define data standards, policies, and procedures to ensure consistent and accurate data collection and storage.
Data Collection and Integration:
Identify and assess various data sources, both internal and external, to gather relevant and reliable data.
Design and implement data collection methods and processes to ensure data is captured efficiently.
Oversee data integration initiatives to consolidate data from different sources into a unified database.
Data Quality Assurance:
Develop and enforce data quality standards to ensure the accuracy, completeness, and consistency of data.
Implement data validation processes and routines to identify and rectify data discrepancies or errors.
Database Management:
Maintain and optimize data storage systems, including databases, data warehouses, and data lakes.
Ensure data security and compliance with relevant data protection regulations.
Data Analysis and Reporting:
Collaborate with analysts to provide clean and structured data for analysis.
Assist in creating data visualizations and reports to communicate insights and findings to stakeholders.
Team Collaboration:
Work closely with IT teams, data scientists, analysts, and other stakeholders to define data requirements and resolve technical issues.
Provide guidance and training to team members regarding data management best practices.
Qualifications:
- Proven experience in sales, preferably in a branding, marketing, or creative agency environment. Ideally 2-4 years
- Strong understanding of branding principles, design, and marketing strategies.
- Excellent communication and presentation skills.
- Results-driven with a track record of meeting or exceeding sales targets.
- Ability to build and maintain strong client relationships.
- Bachelor's degree in Business, Marketing, or a related field is preferred.
If interested kindly share your updated resume at 82008 31681
Visit to shops stores market and sales product
product are perfume brands
- Getting the sale” using various customer sales methodsForecasting sales, developing “out of the box” sales strategies/models and evaluating their effectivenessEvaluating customers skills, needs and building productive long lasting relationships
- Developing chatbots and voice assistants on various platforms for diverse business use-cases
- Work on a chatbot framework/architecture using an open-source tool or library
- Implement Natural Language Processing (NLP) for chatbots
- Integration of chatbots with Management Dashboards and CRMs
- Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process
- Deploy applications using CI/CD tools
- Designing and building highly scalable AI and ML solutions
- Ability to understand business requirements and translate them into technical requirements
- Open-minded, flexible, and willing to adapt to changing situations
- Ability to work independently as well as on a team and learn from colleagues
- High adaptability in a dynamic start-up environment.
- Experience with bot multi-lingual utilization (preferred)
- Experience with bot human escalation
- Ability to optimize applications for maximum speed and scalability
- Come up with new approaches and ideas to improve the current performance of Chatbots across multiple domains and build a highly personalized user experience.
QUALIFICATIONS : B. Tech/ B.E. /M. Tech or a related technical discipline from reputed universities
SKILLS REQUIRED :
- Minimum 3+ years- of experience in Chatbot Development using the Rasa open-source framework.
- Hands-on experience building and deploying chatbots.
- Experience in Conversational AI platforms for enterprises using ML and Deep Learning.
- Experience with both text to speech and vice versa transformation incorporation.
- Should have a good understanding of various Chatbot frameworks/platforms/libraries.
- Build and evolve/train the NLP platform from natural language text data being gathered from users on a daily basis.
- Code using primarily Python.
- Experience with bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc.
- Knowledge of digital assistants such as Amazon Alexa, Google Assistant, etc.
- Experience in applying different NLP techniques to problems such as text. classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning
- Techniques - NLP Skills/Tools: NLP, HMM, MEMM, P/LSA, CRF, LDA, Semantic Hashing, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, Core NLP, NLU, NLG, etc.
- Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context.
- Knowledge of SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL
- Experience with working on public cloud services such as Digital Ocean, AWS, Azure, or GCP.
- Knowledge of Linux shell commands.
- Integration with Chat/Social software like Facebook Messenger, Twitter, SMS.
- Integration with Enterprise systems like Microsoft Dynamics CRM, Salesforce, Zendesk, Zoho, etc.
MUST HAVE :
- Strong foundation in the python programming language.
- Experience with various chatbot frameworks especially Rasa and Dialogflow.
- Strong understanding of other AI tools and applications like TensorFlow, Spacy, and Google Cloud ML is a BIG plus.
- Experience with RESTful services.
- Good understanding of HTTPS and Enterprise security.
Need Excellent Communication skills
Location- Thane,Mumbai. (Work From Office Job)
Week off - Any 2 Rotational week off.
2.Candidates should have good learning abilities to learn new technology and domain.
3.Should have strong conviction to work hard and build long term career.
4.Excellent Time management skills and Communication skills are required.
5.Should have aptitude,logical reasoning and problem solving capabilities.
6.Any tranining,certification holding candaidates are preferred.
7.2018,19 B-Tech/M-Tech Graduates are allowed.
8.Should be available for full time.










