Executive assistant to Director (manufacturing)- female

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Experience-3-5yrs

BE/Mech

Location-Vasai

Head quarter- Jogeshwari

Key Responsibilities

• Design and develop facade concepts, details, and technical drawings.
• Collaborate with architects, engineers, and contractors to ensure design integration.
• Prepare 2D/3D models, renderings, and specifications for facade systems.
• Research and recommend materials, finishes, and sustainable technologies.
• Review shop drawings, prototypes, and mock-ups for compliance with design intent.
• Provide technical support during tendering, procurement, and construction phases.
• 
  

Skills & Competencies

• Proficiency in AutoCAD, Revit.
• Strong knowledge of facade materials (glass, aluminum, stone, composites).
• Understanding of building physics and envelope performance.

Job Description:

Experience: 7 -15 Years

Job Description :

Key responsibilities

As an GEN AI Expert [Min 4 + years of relevant exp on NLP, CV and LLMs], you will be responsible for designing, building, and fine-tuning NLP models and large language model (LLM) agents to solve business challenges. You will play a key role in creating intuitive and efficient model designs that enhance user experiences and business processes. The position demands strong design skills, hands-on coding expertise, advanced proficiency in Python development, specialized knowledge in LLM agent design and development, and exceptional debugging capabilities.

• Model & Agent Design: Conceptualize and design robust NLP solutions and LLM agents tailored to specific business needs, with a focus on user experience, interactivity,   latency, failover and functionality.
• Hands-on Coding: Write,test, and maintain clean, efficient, and scalable code for NLP models and AI agents, with a strong emphasis on Python programming.
• Build high quality multi-modal & multi-agents applications/frameworks
• Knowledge on input/output token utilization, prioritization and consumption w.r.t AI agents
• Performance Monitoring: Monitor, optimize LLM agents, implementing model explainability, handling model drift, and ensuring robustness.
• Research Implementation:Ability to read, comprehend, and implement AI Agent research papers into practical solutions. Stay abreast of the latest academic and industry   research to apply cutting-edge methodologies and techniques.
• Debugging & Issue Resolution: Proactively identify, diagnose, and resolve issues related to AI agents, including model inaccuracies, performance bottlenecks, and   system integration problems. Utilize debugging tools and techniques to troubleshoot complex problems in model behavior, data inconsistencies, and deployment errors.
• Innovation and Research:Stay updated with the latest advancements in AI agents technologies,experimenting with new techniques and tools to enhance agent capabilities and performance.
• Continuous Learning: Adaptability to unlearn outdated practices, patterns, technologies and quickly learn and implement new technologies & papers as the ML world evolves. Maintain a proactive approach to staying current with emerging trends and technologies in Agent based solutions (Text & Multi Modal).
• Clear understanding of tool usage and structured outputs in agents
• Clear understanding of speculative decoding and AST-Code RAG
• Clear understanding of Streaming and Sync/Async processing
• Clear understanding of embedding models and their limitations

Tech stack required:

Programming languages: Python

Public Cloud: Azure

Frameworks: Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation and Observability Tools. Knowledge of Guardrails strategy for LLM. Knowledge on Arize or any other ML/LLM observability tool.

Experience: Experience in building functional platforms using ML, CV, LLM platforms. Experience in evaluating and monitoring AI platforms in production.

Key Responsibilities:

• Drive enterprise-level sales by acquiring and managing strategic partnerships with large corporates for CSR initiatives.
• Lead the end-to-end sales cycle, including prospecting, pitching, solutioning, negotiating, and closing.
• Identify opportunities and customize CSR solutions that align with clients’ business and compliance goals.
• Build and manage a high-performing sales team, providing coaching, direction, and performance management.
• Collaborate with internal cross-functional teams (operations, marketing, product) to deliver seamless onboarding and program execution.
• Represent the company at industry events, CSR forums, and client meetings to build strong brand visibility.
• Monitor sales metrics, forecast revenue, and contribute to strategy planning and market expansion.

Requirements:

• 5-7 years of experience in enterprise or B2B sales,
• Proven track record in team leadership and managing team.
• Strong network and ability to connect with CSR heads, CHROs, and CXOs.
• Exceptional communication, presentation, and stakeholder management skills.
• Deep understanding of CSR regulations, frameworks, and industry best practices is a plus.
• Passion for social impact and sustainable development.

Responsibilities:

• Close Deals: Use effective sales strategies to close real estate deals and provide a smooth experience for clients.
• Property Marketing: Promote Acequare Realty properties through targeted outreach and presentations.
• Meet Sales Targets: Consistently achieve revenue goals by converting leads into clients.
• Lead Conversion: Engage with leads, understand their needs, and offer tailored property solutions.

Additional Duties:

• Contact potential clients to promote current and upcoming real estate projects.
• Generate leads through calls, meetings, and marketing initiatives.
• Consult with clients to understand their preferences and budget.
• Maintain accurate client information in our CRM.
• Resolve client concerns and ensure customer satisfaction.

Requirements & Skills:

• Experience: Minimum 1 year of experience in real estate sales or telesales, preferably with a CP (Channel Partner) company.
• Sales Success: Ability to meet or exceed sales quotas.
• Lead Conversion: Strong skills in generating leads and converting them into clients.
• Communication: Proficiency in English and excellent interpersonal skills.
• Resilience: Ability to handle rejection and stay motivated.
• Negotiation: Strong negotiation skills to close deals and resolve client issues.

Age Criteria:

• Up to 30 years of age.

Salary Range : 18000/- to 45000/- (Depends upon experience & interview)

About the Role:  

As a Speech Engineer you will be working on development of on-device multilingual speech recognition systems. 

• Apart from ASR you will be working on solving speech focused research problems like speech enhancement, voice analysis and synthesis etc. 
• You will be responsible for building complete pipeline for speech recognition from data preparation to deployment on edge devices. 
• Reading, implementing and improving baselines reported in leading research papers will be another key area of your daily life at Saarthi. 

Requirements:  

• 2-3 year of hands-on experience in speech recognitionbased projects 
• Proven experience as a Speech engineer or similar role 
• Should have experience of deployment on edge devices 
• Candidate should have hands-on experience with open-source tools such as Kaldi, Pytorch-Kaldi and any of the end-to-end ASR tools such as ESPNET or EESEN or DeepSpeech Pytorch
• Prior proven experience in training and deployment of deep learning models on scale 
• Strong programming experience in Python,C/C++, etc. 
• Working experience with Pytorch and Tensorflow
• Experience contributing to research communities including publications at conferences and/or journals 
• Strong communication skills 
• Strong analytical and problem-solving skills

1.      Prepare Test Cases

2.      Conduct self, peer review

3.      Update test cases after reviewing the comments

4.      Conduct testing in the required environments

5.      Record Test observations

6.      Log Defects

7.      Verify defect fixes

8.      Provide status to Test Lead.

9.      Knowlegde of   Java or .Net  

• Work independently, good communication and Excel Skills.
• Extensive experience in loading data using SF data loader.
• Expert in SALESFORCE configurations and admin activities
• Integration development experience (REST / SOAP)
• Should be expert in working with flows, process builder, Platform Events and APEX

Roles and Responsibilities

• Review the business requirements
• Prepare solution design
• Develop and test the solution
• Provide technical inputs for project