Customer Engagement and Sales Executive

Strong Technical Recruiter profile

Mandatory (Experience 1): Must have 7+ years of experience in end to end recruitment (sourcing, screening, interviewing, offer negotiation, joining etc)

Mandatory (Experience 2): Must have 4+ years of experience in tech recruitment across different tech roles

Mandatory ( Tech Skill 1): Strong grasp of technical concepts and ability to evaluate candidate fit for different technical roles

Mandatory (Tech Skills 2): Must have experience of analyzing data to improve hiring funnel, take data-driven hiring decisions

Mandatory (Tech Skills 3): Must be proficient in advanced sourcing techniques such as Boolean search, social media recruiting, and referral programs

Mandatory (Communication): Excellent verbal and written communication skills — should be articulate, confident, and well-spoken in interactions

Mandatory (Company): Product companies

Mandatory (Note): This is an IC role

AuxoAI is hiring a Senior Applied Scientist to design and deploy production-grade AI agents capable of structured reasoning, planning, and decision-making.

This role focuses on building intelligent agent systems that combine LLM-based reasoning with classical planning, search algorithms, and optimization techniques. The ideal candidate will develop robust agent architectures that operate reliably in real-world environments with constraints around latency, cost, uncertainty, and limited context windows.

You will work on advanced AI systems that power autonomous workflows, decision engines, and tool-driven agent ecosystems.

You will work on problems where existing architectures may not be sufficient, and will be expected to experiment with new approaches that combine machine learning, graph algorithms, and classical AI techniques to build reliable, production-grade systems.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

• Design and architect modular AI agent frameworks incorporating skill decomposition, tool orchestration, and persistent state tracking.
• Implement planning and search algorithms such as Monte Carlo Tree Search (MCTS), beam search, A search, heuristic search, and graph-based planning approaches* to support complex decision-making tasks.
• Develop decision-making loops that balance trade-offs between exploration vs. exploitation, cost vs. accuracy, and latency vs. reasoning depth.
• Build structured memory systems including episodic memory stores, semantic memory layers, and vector-based memory with optimized retrieval strategies.
• Design tool-calling architectures with strong execution validation, retry mechanisms, and failure recovery strategies.
• Develop evaluation frameworks to measure agent performance using task success metrics, rollout simulations, and multi-sample validation approaches.
• Improve agent performance through techniques such as distillation, synthetic trajectory generation, prompt compression, and context pruning.
• Deliver production-ready agent systems that meet operational requirements around reliability, cost efficiency, throughput, and observability.

Requirements

• 2-5 years of experience building machine learning or AI systems in production environments.
• Strong experience implementing search or planning algorithms beyond basic use cases, including tree search or heuristic-based planning approaches.
• Hands-on experience with Monte Carlo Tree Search (MCTS) or related decision-making frameworks.
• Strong understanding of state-space representations, heuristic design, and decision boundary trade-offs.
• Experience building or extensively customizing agent frameworks for real-world applications.
• Hands-on experience designing tool-use or function-calling architectures under practical system constraints.
• Strong Python engineering skills with a focus on scalable and reliable system design.

Nice to Have:

• Experience with reinforcement learning techniques such as policy gradients, value estimation, or reward modeling.
• Experience building multi-agent or collaborative agent systems.
• Experience designing evaluation frameworks for agent robustness and reliability.
• Experience optimizing LLM inference pipelines for latency, throughput, and cost efficiency.
• Familiarity with distributed task orchestration systems and large-scale AI workflow management.

Role & responsibilities:

1. Implement and integrate AI tools into business workflows and Automate tasks using no-code platforms and AI APIs.
2. Integrate LLMs, vision models, and other pre-trained AI services (OpenAI, Hugging Face, Google Vertex AI) into internal systems.
3. Deployment, Customization & Fine-tune foundation models using supervised learning, prompt engineering, and custom datasets.
4. Build systems to extract structured data from PDFs and scanned documents using OCR, NLP, and document-understanding models.
5. Design and optimize AI prompts for content generation, customer support, and business analytics.
6. Knowledge in Agent2Agent, MCP Servers, Context Handling Cross-Functional Collaboration.
7. Work with marketing, sales, support, and HR teams to identify and implement AI-driven process improvements.
8. Monitor AI outputs for quality, compliance, and relevance. Ensure responsible and ethical AI usage.

Preferred candidate profile:

• Bachelors/Masters in Computer Science, AI/ML, or related field.
• Strong programming skills in Python; experience with TensorFlow, PyTorch, Transformers, Scikit-learn.
• Hands-on experience with LLMs, prompt engineering, and model fine-tuning.
• Skilled in OCR and document parsing tools (e.g., Tesseract OCR, PDFMiner, LayoutLM, Azure Form Recognizer).
• Experience in workflow automation tools (e.g., Crew AI, LangChain).
• Knowledge of REST APIs, microservices, and containerization.
• Analytical mindset with a focus on process improvement.

Perks and benefits:

• Competitive Salary and Professional development opportunities and training.
• Opportunity to work with cutting-edge technologies in a fast-paced environment.
• Collaborative and supportive work environment.

Company : Barcadly Services (www.barcadlyservices.com)

Job Title: Business Development Executive (BDE)

Overview:

As a Business Development Executive, your primary responsibility is to identify new business opportunities and build relationships with potential clients. You will be responsible for developing and implementing strategies that will drive revenue growth and increase market share.

Key Responsibilities:

• Conduct market research to identify new business opportunities and potential clients

• Develop and maintain a pipeline of potential clients

• Build and maintain relationships with key decision-makers within the target market

• Develop and implement strategies to increase sales and revenue growth

• Negotiate and close business deals with clients

• Collaborate with other departments within the organization to ensure the delivery of high-quality products or services

• Keep up to date with industry trends, competitor activities, and regulatory changes that may impact the business

• Monitor and report on sales performance and adjust strategies accordingly

• Attend industry events and conferences to build relationships and promote the organization

Requirements:

• Bachelor's degree in Business, Marketing, or a related field

• Proven track record of successful business development or sales experience

• Excellent communication, negotiation, and interpersonal skills

• Ability to work independently and in a team environment

• Strong analytical and problem-solving skills

• Ability to manage multiple projects and priorities

Requirements:

• Proficiency in shell scripting.
• Proficiency in automation of tasks.
• Proficiency in Pyspark/Python.
• Proficiency in writing and understanding of sqoop.
• Understanding of Cloud Era manager.
• Good understanding of RDBMS.
• Good understanding of Excel.
• Familiarity with Hadoop ecosystem and its components.
• Understanding of data loading tools such as Flume, Sqoop etc.
• Ability to write reliable, manageable, and high-performance code.
• Good knowledge of database principles, practices, structures, and theories.