MongoDB
DockerJob Title: AI/ML Engineer (LLMs, RAG & Agent Systems)
Location: Bangalore, India (On-site)
Type: Full-time
About the Role
As an AI/ML Engineer, you’ll be part of a small, fast-moving team focused on developing LLM-powered agentic systems that drive our next generation of AI products.
You’ll work on designing, implementing, and optimizing pipelines involving retrieval-augmented generation (RAG), multi-agent coordination, and tool-using AI systems.
Responsibilities
- Design and implement components for LLM-based systems (retrievers, planners, memory, evaluators).
- Build and maintain RAG pipelines using vector databases and embedding models.
- Experiment with reasoning frameworks like ReAct, Tree of Thought, and Reflexion.
- Collaborate with backend and infra teams to deploy and optimize agentic applications.
- Research and experiment with open-source LLM frameworks to identify best-fit architectures.
- Contribute to internal tools for evaluation, benchmarking, and scaling AI agents.
Required Skills
- Strong foundation in ML/DL theory and implementation (PyTorch preferred).
- Understanding of transformer architectures, embeddings, and LLM mechanics.
- Practical exposure to prompt engineering, tool calling, and structured output design.
- Experience in Python, Git/GitHub, and data processing pipelines.
- Familiarity with RAG systems, vector databases, and API-based model inference.
- Ability to write clean, modular, and reproducible code.
Preferred Skills
- Experience with LangChain, LangGraph, Autogen, or CrewAI.
- Hands-on with Hugging Face ecosystem (transformers, datasets, etc.).
- Working knowledge of Redis, PostgreSQL, or MongoDB.
- Experience with Docker and deployment workflows.
- Familiarity with OpenAI, Anthropic, vLLM, or Ollama inference APIs.
- Exposure to MLOps concepts like CI/CD, model versioning, or cloud (AWS/GCP/Azure).
What We Value
- Deep understanding of core principles over surface-level familiarity with tools.
- Ability to think like a researcher and execute like an engineer.
- Collaborative mindset, building together, learning together.
Shubham Vishwakarma
Full Stack Developer - Averlon
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NodeJS (Node.js)MongoDBAs a Senior Backend & Infrastructure Engineer, you will take ownership of backend systems and cloud infrastructure. You’ll work closely with our CTO and cross-functional teams (hardware, AI, frontend) to design scalable, fault- tolerant architectures and ensure reliable deployment pipelines.
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- Backend Development: Maintain and evolve our Node.js (TypeScript) and Python backend services with a focus on performance and scalability.
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- Database Management: Handle Firestore and other NoSQL DBs. Lead database schema design and migration strategies.
- Pipelines & Automation: Build robust real-time and batch data pipelines. Automate CI/CD and testing for backend and frontend services.
- Monitoring & Uptime: Deploy tools for observability (logging, alerts, debugging). Ensure 99.9% uptime of critical services.
- Dev Environments: Set up and manage developer and staging environments across teams.
- Quality & Security: Drive code reviews, implement backend best practices, and enforce security standards.
- Collaboration: Partner with other engineers (AI, frontend, hardware) to integrate backend capabilities seamlessly into our global system.
Must-Haves :
- 5+ years of experience in backend development and cloud infrastructure.
- Strong expertise in Node.js (TypeScript) and/or Python.
- Advanced skills in NoSQL databases (Firestore, MongoDB, DynamoDB...).
- Deep understanding of cloud platforms, preferably GCP and Firebase.
- Hands-on experience with CI/CD, DevOps tools, and automation.
- Solid knowledge of distributed systems and performance tuning.
- Experience setting up and managing development & staging environments.
• Proficiency in English and remote communication.
Good to have :
- Event-driven architecture experience (e.g., Pub/Sub, MQTT).
- Familiarity with observability tools (Prometheus, Grafana, Google Monitoring).
- Previous work on large-scale SaaS products.
- Knowledge of telecommunication protocols (MQTT, WebSockets, SNMP).
- Experience with edge computing on Nvidia Jetson devices.
What We Offer :
- Competitive salary for the Indian market (depending on experience).
- Remote-first culture with async-friendly communication.
- Autonomy and responsibility from day one.
- A modern stack and a fast-moving team working on cutting-edge AI and cloud infrastructure.
- A mission-driven company tackling real-world environmental challenges.
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Mandatory (Experience 2): Proven experience in end-to-end Amazon Ads campaign management, including campaign setup, optimization, bid strategy, and scaling performance
Mandatory (Experience 3): Strong understanding of key Amazon advertising metrics such as ACOS, ROAS, CTR, CPC, and conversion rate, with a demonstrated ability to optimize campaigns for revenue growth and cost efficiency
Mandatory (Core Skills): Hands-on expertise in keyword research, search term analysis, competitor tracking, and campaign expansion strategies within Amazon ecosystem
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Job Summary:
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Key Responsibilities:
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About the Company:
Alyke, recognized as India's first friendship app, is revolutionizing the way people find friends online through its innovative matching algorithm. Alyke has quickly gained traction, surpassing 1 million users. This platform uniquely connects individuals based on shared interests and proximity and stands out for its commitment to creating a secure environment that encourages users to express themselves freely. Joining Alyke offers the chance to be part of an innovative team dedicated to reshaping the landscape of social connections.
Role Overview:
As a Senior Quality Assurance (QA) at Alyke, you will lead the QA team to ensure the delivery of high-quality software products. You will be responsible for developing and implementing QA strategies, overseeing all aspects of quality assurance including establishing metrics, applying industry best practices, and developing new tools and processes to ensure quality goals are met. This role requires a combination of strong leadership skills and a deep understanding of QA methodologies in a fast-paced startup environment.
Role Overview
We are seeking a hands-on Senior QA Engineer with strong experience in mobile application testing and automation to join our fast-paced product team. In this role, you’ll help shape the future of Alyke by ensuring our Android and iOS apps are robust, scalable, and delightful to use. You’ll be instrumental in establishing strong testing practices, mentoring junior QAs, and driving test automation across platforms.
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- Competitive compensation and equity options.
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Application Process: If you're excited about leading a team to ensure the quality of a product that brings people together, we'd love to hear from you. Please submit your resume, cover letter, and a link to any relevant work or projects you have worked using cutshort.
Assist in developing and executing marketing strategies to drive brand awareness and customer acquisition
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We prefer candidates from Kerala.
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Developing project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility
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Use appropriate verification techniques to manage changes in project scope, schedule and costs
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CANDIDATE WILL BE DEPLOYED IN A FINANCIAL CAPTIVE ORGANIZATION @ PUNE (KHARADI)
Below are the job Details :-
Experience 10 to 18 years
Mandatory skills –
- data migration,
- data flow
The ideal candidate for this role will have the below experience and qualifications:
- Experience of building a range of Services in a Cloud Service provider (ideally GCP)
- Hands-on design and development of Google Cloud Platform (GCP), across a wide range of GCP services including hands on experience of GCP storage & database technologies.
- Hands-on experience in architecting, designing or implementing solutions on GCP, K8s, and other Google technologies. Security and Compliance, e.g. IAM and cloud compliance/auditing/monitoring tools
- Desired Skills within the GCP stack - Cloud Run, GKE, Serverless, Cloud Functions, Vision API, DLP, Data Flow, Data Fusion
- Prior experience of migrating on-prem applications to cloud environments. Knowledge and hands on experience on Stackdriver, pub-sub, VPC, Subnets, route tables, Load balancers, firewalls both for on premise and the GCP.
- Integrate, configure, deploy and manage centrally provided common cloud services (e.g. IAM, networking, logging, Operating systems, Containers.)
- Manage SDN in GCP Knowledge and experience of DevOps technologies around Continuous Integration & Delivery in GCP using Jenkins.
- Hands on experience of Terraform, Kubernetes, Docker, Stackdriver, Terraform
- Programming experience in one or more of the following languages: Python, Ruby, Java, JavaScript, Go, Groovy, Scala
- Knowledge or experience in DevOps tooling such as Jenkins, Git, Ansible, Splunk, Jira or Confluence, AppD, Docker, Kubernetes
- Act as a consultant and subject matter expert for internal teams to resolve technical deployment obstacles, improve product's vision. Ensure compliance with centrally defined Security
- Financial experience is preferred
- Ability to learn new technologies and rapidly prototype newer concepts
- Top-down thinker, excellent communicator, and great problem solver
Exp:- 10 to 18 years
Location:- Pune
Candidate must have experience in below.
- GCP Data Platform
- Data Processing:- Data Flow, Data Prep, Data Fusion
- Data Storage:- Big Query, Cloud Sql,
- Pub Sub, GCS Bucket
MongoDB
Angular (2+)NodeJS (Node.js)
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Full Stack Developer - Averlon