Mid Level - Accounting Manager

Job Title: Senior Software Developer – Agentic AI / Backend

Location: Bangalore (Work from Office)

Experience: 5–8 Years

About the Role

We are looking for a highly skilled Software Developer to build next-generation agentic AI systems that automate and enhance customer support experiences. The role involves designing intelligent systems that can reason, retrieve knowledge, and perform automated actions by integrating with enterprise services and APIs.

Key Responsibilities

• Design and develop backend services using Node.js/TypeScript and Java (Spring Boot).
• Build scalable microservices and REST APIs that integrate with internal systems.
• Develop LLM-powered workflows, including RAG (Retrieval Augmented Generation) and AI agent capabilities.
• Implement workflow orchestration, session/context management, and automation logic.
• Integrate services with databases, APIs, and enterprise systems.
• Ensure scalability, security, monitoring, and reliability of production systems.
• Collaborate with cross-functional teams including Product, Data, and Engineering.
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Required Skills

• 5–8 years of backend development experience.
• Strong experience with Node.js/TypeScript and Java (Spring / Spring Boot).
• Experience building microservices, APIs, and distributed systems.
• Hands-on exposure to Generative AI, LLMs, or RAG-based systems.
• Good understanding of SQL/NoSQL databases.
• Familiarity with Docker, Kubernetes, CI/CD pipelines, and Git.
• Strong problem-solving and collaboration skills.
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Preferred Skills

• Experience with LangChain, OpenAI APIs, or similar LLM platforms.
• Exposure to AI agent architectures or automation frameworks.
• Knowledge of vector databases, embeddings, and semantic search.
• Experience working in large-scale production systems.

• Notice Period: Immediate to 30 days preferred.

Job Title: Quality Control Engineer Food / FMCG Industry

Location: Mehsana , Gujrat

Experience: 1–3 years

Qualification: B.Tech / M.Tech , Dairy Technology, Biotechnology, Microbiology, or related fields

Job Summary:

The Quality Control Engineer will be responsible for ensuring that all food and FMCG products meet established quality and safety standards. The role involves monitoring production processes, conducting inspections, analyzing samples, and implementing corrective actions to maintain product consistency, compliance, and customer satisfaction.

Key Responsibilities:

• Monitor and control quality parameters throughout the production process.
• Conduct routine inspections, sampling, and testing of raw materials, in-process, and finished goods.
• Ensure compliance with food safety regulations, FSSAI, HACCP, ISO, GMP, and other relevant standards.
• Develop, implement, and update quality control procedures and SOPs.
• Collaborate with production, R&D, and supply chain teams to resolve quality issues.
• Conduct root cause analysis of product deviations, rejections, or customer complaints.
• Maintain proper documentation, inspection reports, and audit records.
• Coordinate with external agencies for certifications, audits, and regulatory inspections.
• Ensure proper hygiene, sanitation, and safety practices within production areas.
• Train and guide staff on quality awareness, food safety, and compliance practices.

Key Skills & Competencies:

• Strong knowledge of food safety regulations and quality standards (FSSAI, HACCP, GMP, ISO, BRC).
• Proficiency in quality control tools, statistical analysis, and lab testing methods.
• Analytical thinking with attention to detail.
• Problem-solving and root cause analysis skills.
• Good communication and coordination abilities.
• Ability to work under pressure and meet strict timelines.

Career Path:

This role offers growth into Senior Quality Engineer, Quality Manager, or QA/QC Head within the Food / FMCG industry.

We are looking for a Full Stack Engineer for a client of ours, that is headquartered in USA and is operating in the field of health tech space, offering an innovative solution for dominate health issues. The company is well funded and backed by investors like Sequoia Capital.

They are looking for people who are interested to join their company and help them make an impact on their product development and growth.

In this role you will be part of the Product Engineering Team, and will be responsible for working with cross functional teams.

Experience Required

5+ years experience, having worked on both frontend and backend development - hands on development experience from front end, middle tier and back end.

3+ years of experience building Restful web service using node.js

3+ years of experience for writing batch/cron jobs using Python and shell scripting

3+ years of experience in web application development using javascript and ReactJs

Have understanding of javascript, Typescript, HTML, CSS, JSON, Rest based applications

Experience in database techs - mongodb, mysql, redis, elastic search

Experience of building applications deployed on the cloud using AWS, Docker and kubernetes

Good to have : - understanding of code versioning tools like Git

Experience or understanding of JS based build tools like Grunt, Gulp, Bower, Webpack and NPM

Good communication, willingness to work in a diverse team, and a fast paced environment would be a requirement to be successful in this role.

Education Experience

Degree in Computer science would be preferred / equivalent professional experience in product companies.

• A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
• Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
  • ML orchestration - how can I automate my ML workflows across multiple environments
  • Scalability - how can I take advantage of the huge computational power available in the cloud?
  • Serving - how can I make my ML models available to make predictions reliably when needed?
  • Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
  • Reuse – how can I profess reuse of artefacts built and establish templates and patterns?

The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.

A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.

Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.

Responsibilities will include:

• Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
• Designing cloud ML architectures and provide a roadmap for flexible patterns
• Optimizing solutions for performance and scalability
• Leading and driving the evolving best practices for MLOps
• Helping to showcase expertise and leadership in this field

Tech stack

These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.

• Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
• Microsoft Azure Platform - primarily focused on Databricks, Azure ML
• Containers
• CI/CD – Azure DevOps
• Strong programming skills in Python
• Solid understanding of cloud concepts
• Demonstrable interest in Machine Learning
• Understanding of IaC and CI/CD concepts
• Strong communication and presentation skills.

Remuneration: Best in the industry

Connect: https://www.linkedin.com/in/shweta-gupta-a361511

Job Title: Data Warehouse/Redshift Admin

Location: Remote

Job Description

AWS Redshift Cluster Planning

AWS Redshift Cluster Maintenance

AWS Redshift Cluster Security

AWS Redshift Cluster monitoring.

Experience managing day to day operations of provisioning, maintaining backups, DR and monitoring of AWS RedShift/RDS clusters

Hands-on experience with Query Tuning in high concurrency environment

Expertise setting up and managing AWS Redshift

AWS certifications Preferred (AWS Certified SysOps Administrator)

Responsibilities

• Use your skills in OOP, OOAD, and testing to design and develop robust and scalable software.
• Work in a fast-paced environment with a focus on writing production-quality code and tests.
• Maintain minimal yet essential engineering documentation to complement the product.
• Collaborate with engineers and product teams as part of Agile delivery.
• Participate in code reviews and release cycles with an ownership attitude.

Requirements

• Strong at problem-solving using Java 8 and above.
• General understanding of SDLC using agile methodologies iterative development.
• Basic skills in HTML, CSS, and JavaScript are desired.
• Hands-on knowledge of using Spring Boot or Quarkus for building Microservices or API driven solutions.
• Knowledge of SQL and experience in using any RDBMS like MySQL, PostgreSQL.
• Understanding or exposure to Cloud-Native development using AWS is an added advantage.