We're seeking a Generalist Software Engineer with a passion for the art and science of building software. The ideal candidate excels in technical execution and possesses the versatility to quickly adapt to new technologies. You'll be expected to deliver high-quality solutions across various tech stacks while maintaining a commitment to
continuous learning and improvement.
You Would Be a Good Fit If
- You're a back end developer with strong expertise in at least one programming language and have experience building and deploying production applications.
- You excel at problem-solving and apply first-principle thinking to complex challenges
- You communicate effectively, both in writing and verbally
- You're passionate about crafting high-quality, pragmatic software solutions
- You're self-driven, adaptable, and quick to learn new technologies
- You're excited to help shape both the code and the organization
You would not be a good fit if
- Prefer traditional office settings over remote work
- Require constant supervision or struggle with self-motivation
- View software development as just a job rather than a craft
- Prefer sticking to a single tech stack or strongly identify with specific technologies
- Specialize exclusively in frontend development or DevOps
- Seek a purely managerial position without hands-on coding responsibilities

About Vertexcover Labs
About
About Us
At Vertexcover Labs, we're on a mission to revolutionize the way real-world problems are tackled using Generative AI. We pride ourselves on delivering cutting-edge solutions for some of the leading consumer-facing companies out there. Our collaborations with top names such as Invideo, Rephrase, Dunzo, Xapo, Dubdub, and Madmen have empowered us to drive AI-driven transformations that make a tangible impact.
As an employee-first startup, Vertexcover Labs is deeply committed to the happiness, growth, and continuous learning of our team. Our unique cultural values set us apart from others in the industry, creating an environment where innovation flourishes and ideas come to life.
Why Join Us?
- Tackle Hard Problems: Engage with some of the most challenging issues in the AI domain and see your solutions come to life.
- Choose Your Projects: Gain the autonomy to select projects that excite and inspire you, aligning with your personal and professional growth aspirations.
- Profit Sharing: Benefit from our profit-sharing model that recognizes and rewards your contributions to our collective success.
At Vertexcover Labs, we believe in creating a workspace that not only fuels creativity and innovation but also values and uplifts each member. If you're passionate about making a difference with Generative AI and thrive in a dynamic, supportive environment, we’d love to hear from you. Join us in shaping the future!
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Company: Grey Chain AI
Location: Remote
Experience: 7+ Years
Employment Type: Full Time
About the Role
We are looking for a Senior Python AI Engineer who will lead the design, development, and delivery of production-grade GenAI and agentic AI solutions for global clients. This role requires a strong Python engineering background, experience working with foreign enterprise clients, and the ability to own delivery, guide teams, and build scalable AI systems.
You will work closely with product, engineering, and client stakeholders to deliver high-impact AI-driven platforms, intelligent agents, and LLM-powered systems.
Key Responsibilities
- Lead the design and development of Python-based AI systems, APIs, and microservices.
- Architect and build GenAI and agentic AI workflows using modern LLM frameworks.
- Own end-to-end delivery of AI projects for international clients, from requirement gathering to production deployment.
- Design and implement LLM pipelines, prompt workflows, and agent orchestration systems.
- Ensure reliability, scalability, and security of AI solutions in production.
- Mentor junior engineers and provide technical leadership to the team.
- Work closely with clients to understand business needs and translate them into robust AI solutions.
- Drive adoption of latest GenAI trends, tools, and best practices across projects.
Must-Have Technical Skills
- 7+ years of hands-on experience in Python development, building scalable backend systems.
- Strong experience with Python frameworks and libraries (FastAPI, Flask, Pydantic, SQLAlchemy, etc.).
- Solid experience working with LLMs and GenAI systems (OpenAI, Claude, Gemini, open-source models).
- Good experience with agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
- Experience designing multi-agent workflows, tool calling, and prompt pipelines.
- Strong understanding of REST APIs, microservices, and cloud-native architectures.
- Experience deploying AI solutions on AWS, Azure, or GCP.
- Knowledge of MLOps / LLMOps, model monitoring, evaluation, and logging.
- Proficiency with Git, CI/CD, and production deployment pipelines.
Leadership & Client-Facing Experience
- Proven experience leading engineering teams or acting as a technical lead.
- Strong experience working directly with foreign or enterprise clients.
- Ability to gather requirements, propose solutions, and own delivery outcomes.
- Comfortable presenting technical concepts to non-technical stakeholders.
What We Look For
- Excellent communication, comprehension, and presentation skills.
- High level of ownership, accountability, and reliability.
- Self-driven professional who can operate independently in a remote setup.
- Strong problem-solving mindset and attention to detail.
- Passion for GenAI, agentic systems, and emerging AI trends.
Why Grey Chain AI
Grey Chain AI is a Generative AI-as-a-Service and Digital Transformation company trusted by global brands such as UNICEF, BOSE, KFINTECH, WHO, and Fortune 500 companies. We build real-world, production-ready AI systems that drive business impact across industries like BFSI, Non-profits, Retail, and Consulting.
Here, you won’t just experiment with AI — you will build, deploy, and scale it for the real world.
Job Title: Python Backend / GenAI Engineer (4+ Years)
Job Summary
Looking for a Python Backend Engineer with experience in Generative AI, LangGraph workflows, data engineering, and AI evaluation using Arize AI.
Responsibilities
* Develop backend APIs using Python (FastAPI / Flask / Django)
* Build Generative AI and RAG-based applications
* Design LangGraph / agent workflows
* Create data engineering pipelines (ETL, data processing)
* Implement LLM monitoring and evaluation using Arize AI
* Integrate vector databases and AI services
* Maintain scalable and production-ready backend systems
Required Skills
* 4+ years of Python backend development
* Experience in Generative AI / LLM applications
* Knowledge of LangGraph / LangChain
* Experience in data engineering pipelines
* Familiarity with Arize AI or model evaluation tools
* Understanding of REST APIs, databases, Docker
Good to Have
* Cloud platforms (Azure / AWS )
* Vector databases (FAISS, Pinecone, Azure AI Search)
About Astra:
Astra is a cyber security SaaS company that makes otherwise chaotic pentests a breeze with its one of a kind Pentest Platform. Astra's continuous vulnerability scanner emulates hacker behavior to scan applications for 9300+ security tests. CTOs & CISOs love Astra because it helps them fix vulnerabilities in record time and move from DevOps to DevSecOps with Astra's CI/CD integrations.
Astra is loved by 650+ companies across the globe. In 2023 Astra uncovered 2 million+ vulnerabilities for its customers, saving customers $69M+ in potential losses due to security vulnerabilities.
We've been awarded by the President of France Mr. François Hollande at the La French Tech program and Prime Minister of India Shri Narendra Modi at the Global Conference on Cyber Security. Loom, MamaEarth, Muthoot Finance, Canara Robeco, ScripBox etc. are a few of Astra’s customers.
Role Overview:
As a back-end engineer you will be responsible for developing and maintaining the platform/dashboard backend. This would involve developing & maintaining RESTful services for vulnerability management, scan orchestration, inventory management and platform features such as on-boarding, trust centers, certificates, payment integrations, vulnerability ingestion, authentication etc.
You should have a strong background in backend programming (Symfony preferred, or Laravel) and have experience with an event driven, async & distributed architecture.
During the first 6 months of your role, you will be involved in the 0->1 journey of two of our upcoming products in our platform along with the respective product owners.
Love solving hard problems? Want to build high impact products rooted in first principles? Is coding your poetry? Join us in shaping the future of cyber security.
Roles & Responsibilities
- Design, develop, and maintain backend services and APIs using Symfony PHP framework. What you create is also what you own.
- Collaborate with front-end developers to integrate user-facing elements with server-side logic.
- Collaborate with scanner teams to orchestrate scans, ingest vulnerabilities, configure scanners etc.
- Write clean, well-documented, and efficient code.
- Optimize and refactor existing code to improve performance and reliability.
- Implement security and data protection measures.
- Triage, troubleshoot and upgrade existing systems.
- Ship code to production multiple times a day/week.
- Ensure timely delivery of the features.
- Test your own features, and write test cases for continuous automated testing.
- Participate in code reviews and contribute to best practices and standards.
What we are looking for:
- 3 years experience in a similar role or similar working experience.
- Strong background in PHP backend programming. Symfony preferred, or Laravel.
- Strong understanding of software architecture principles and design patterns.
- Experience with an event driven (subscribers/listeners), async (MessageHandlers & job queues) & distributed (load-balanced) architecture.
- Experience with PostgreSQL database and data modeling.
- Understanding of concepts such as Dependency Injection, ORM, data validation, error handling etc.
- Experience with Docker, Kubernetes, GitHub Actions (good to have).
- Experience with Agile methodologies.
- Excellent problem-solving skills and the ability to think strategically about technical solutions.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional remote teams.
- Demonstrated track record of delivering high-quality software products on schedule.
- Knowledge of industry best practices in software development, security, and compliance.
- Knowledge of application & infrastructure security - helps you stand out.
What We offer:
- Adrenalin rush of being a part of a fast-growing company, and working on hard problems that matter.
- Fully remote, agile working environment.
- Good engineering culture with full ownership in design, development, release lifecycle.
- A wholesome opportunity where you get to build things from scratch, improve and ship code to production in hours, not weeks.
- Holistic understanding of SaaS and enterprise security business.
- Experience with the security side of things.
- Annual trips to beaches or mountains (next one is to Wayanad).
- Open and supportive culture.
- Health insurance & other benefits for you and your spouse. Maternity benefits included.
We are looking for a Technical Lead - GenAI with a strong foundation in Python, Data Analytics, Data Science or Data Engineering, system design, and practical experience in building and deploying Agentic Generative AI systems. The ideal candidate is passionate about solving complex problems using LLMs, understands the architecture of modern AI agent frameworks like LangChain/LangGraph, and can deliver scalable, cloud-native back-end services with a GenAI focus.
Key Responsibilities :
- Design and implement robust, scalable back-end systems for GenAI agent-based platforms.
- Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services.
- Develop and maintain services using Python (FastAPI/Django/Flask), with best practices in modularity and performance.
- Leverage and extend frameworks like LangChain, LangGraph, and similar to orchestrate tool-augmented AI agents.
- Design and deploy systems in Azure Cloud, including usage of serverless functions, Kubernetes, and scalable data services.
- Build and maintain event-driven / streaming architectures using Kafka, Event Hubs, or other messaging frameworks.
- Implement inter-service communication using gRPC and REST.
- Contribute to architectural discussions, especially around distributed systems, data flow, and fault tolerance.
Required Skills & Qualifications :
- Strong hands-on back-end development experience in Python along with Data Analytics or Data Science.
- Strong track record on platforms like LeetCode or in real-world algorithmic/system problem-solving.
- Deep knowledge of at least one Python web framework (e.g., FastAPI, Flask, Django).
- Solid understanding of LangChain, LangGraph, or equivalent LLM agent orchestration tools.
- 2+ years of hands-on experience in Generative AI systems and LLM-based platforms.
- Proven experience with system architecture, distributed systems, and microservices.
- Strong familiarity with Any Cloud infrastructure and deployment practices.
- Should know about any Data Engineering or Analytics expertise (Preferred) e.g. Azure Data Factory, Snowflake, Databricks, ETL tools Talend, Informatica or Power BI, Tableau, Data modelling, Datawarehouse development.
SDE 2 / SDE 3 – AI Infrastructure & LLM Systems Engineer
Location: Pune / Bangalore (India)
Experience: 4–8 years
Compensation: no bar for the right candidate
Bonus: Up to 10% of base
About the Company
AbleCredit builds production-grade AI systems for BFSI enterprises, reducing OPEX by up to 70% across onboarding, credit, collections, and claims.
We run our own LLMs on GPUs, operate high-concurrency inference systems, and build AI workflows that must scale reliably under real enterprise traffic.
Role Summary (What We’re Really Hiring For)
We are looking for a strong backend / systems engineer who can:
- Deploy AI models on GPUs
- Expose them via APIs
- Scale inference under high parallel load using async systems and queues
This is not a prompt-engineering or UI-AI role.
Core Responsibilities
- Deploy and operate LLMs on GPU infrastructure (cloud or on-prem).
- Run inference servers such as vLLM / TGI / SGLang / Triton or equivalents.
- Build FastAPI / gRPC APIs on top of AI models.
- Design async, queue-based execution for AI workflows (fan-out, retries, backpressure).
- Plan and reason about capacity & scaling:
- GPU count vs RPS
- batching vs latency
- cost vs throughput
- Add observability around latency, GPU usage, queue depth, failures.
- Work closely with AI researchers to productionize models safely.
Must-Have Skills
- Strong backend engineering fundamentals (distributed systems, async workflows).
- Hands-on experience running GPU workloads in production.
- Proficiency in Python (Golang acceptable).
- Experience with Docker + Kubernetes (or equivalent).
- Practical knowledge of queues / workers (Redis, Kafka, SQS, Celery, Temporal, etc.).
- Ability to reason quantitatively about performance, reliability, and cost.
Strong Signals (Recruiter Screening Clues)
Look for candidates who have:
- Personally deployed models on GPUs
- Debugged GPU memory / latency / throughput issues
- Scaled compute-heavy backends under load
- Designed async systems instead of blocking APIs
Nice to Have
- Familiarity with LangChain / LlamaIndex (as infra layers, not just usage).
- Experience with vector DBs (Qdrant, Pinecone, Weaviate).
- Prior work on multi-tenant enterprise systems.
Not a Fit If
- Only experience is calling OpenAI / Anthropic APIs.
- Primarily a prompt engineer or frontend-focused AI dev.
- No hands-on ownership of infra, scaling, or production reliability.
• BE/B. Tech. Computer Science or MCA from a reputed University.
• 8+ Years of experience in software development, with emphasis on JAVA/J2EE Server side
programming.
• Hands on experience in Core Java, Multithreading, RMI, Socket programing, JDBC, NIO,
webservices and Design patterns.
• Should have Knowledge of distributed system, distributed caching, messaging frameworks, ESB
etc.
• Knowledge of Linux operating system and PostgreSQL/MySQL/MongoDB/Cassandra database is
essential.
• Additionally, knowledge of HBase, Hadoop and Hive are desirable.
• Familiarity with message queue systems and AMQP and Kafka is desirable.
• Should have experience as a participant in Agile methodologies.
• Should have excellent written and verbal communication skills and presentation skills.
• This is not a Fullstack requirement, we are purely looking out for Backend resources.
This role isn't limited to the software development or support, it involves less coding but more Consulting, Architectural designing/High Availability system designing, Solutioning, Migration, Optimization, customer handling, etc.
MongoDB is expanding our global team of consulting engineers and is building a new team to deliver remote consulting services to further our ongoing plans for worldwide growth!
MongoDB Professional Services works with customers of all shapes and sizes in all verticals, from tier-1 banks to small web startups, on a variety of interesting use cases from e-commerce platforms to trading systems to social media applications. Solve interesting problems, gain incredible cross-stack experience, work with the best and brightest people in the business, network with industry leaders, and see new places - all in a day’s work!
MongoDB consulting exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios - from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB.
Be one of the recognized experts in this rapidly growing field in a high-growth software company successfully challenging the status quo of the database industry.
Shift Timing
You will get an opportunity to work with Global customers (APAC, EMEA, and North America) So this would require you to work in monthly rotational shifts.
We will be providing Cab for the pick-up & Drop, (Night Shift Allowances will be given & Cab’s aren’t chargeable)
Candidate Profile
We are looking for candidates who have a **strong development background along with Systems Architecture experience and want to make their career in Consulting Engineering,** This role isn't limited to the software development or support, it involves less coding but more Consulting, Architectural designing/High Availability system designing, Solutioning, Migration, Optimization, customer handling, etc. The ideal candidate should be a highly technical individual, with strong problem-solving and communication skills, and comfortable working remotely to match customer time zones for our Atlas customers.
Our ideal candidate will have
* Excellent analytical, diagnostic skills, and problem-solving skills
* High motivation for a role that combines deep technical and customer-management dimensions
* Confidence speaking and presenting in a collaborative customer setting
* **5+ years of software development/consulting/support experience**, preferably in a number of distinct industries/verticals
* Familiarity with enterprise-scale software architectures, application development methodologies, and software deployment and operations
* Competence in at least one of the following languages (in no particular order): Java, C++, C#, Python, Node.js (JavaScript), Ruby, Perl, Scala, Go
* Experience with databases such as MongoDB, Oracle, MS SQL Server, PostgreSQL
* Familiarity with Linux diagnostics and tuning; Windows tuning knowledge is a plus
* Experience working with public cloud technologies specifically AWS, Azure & GCP
* Should be ready to and comfortable working in shifts to match the customer time zone/s during the working week
**Position Expectations**
* **As a core member of the MongoDB Professional Services team, you will Contribute to helping migrate customers from self-hosted MongoDB on-prem/cloud to Atlas**
* Contribute to customer implementations at any or all phases of the application lifecycle: portfolio assessment, application planning, and design, deployment architectures, development and build, integration and release configuration, system testing, production operations, application optimization, and best practices adoption
* Work as part of a wider delivery team comprising fellow consulting engineers, project managers, and account teams
* Cultivate your individual MongoDB reputation as a trusted advisor to guide MongoDB and our customers into the future
* Partner with Product and Engineering teams to influence the direction of the MongoDB product roadmap
**Success Measures**
**As a Consulting Engineer you will be successful in this role when you can execute the following**
Become a field expert in “everything MongoDB”
Communicate complex technical proposals simply and convincingly to a wide range of audiences
Gain a reputation as a trusted advisor with your clients, large and small
Ensure your client’s success with their MongoDB endeavors
Maintain the required level of billable utilization
Influence MongoDB product development by contributing experience from the field
Successfully communicate the product roadmap to external clients
Constantly work on improving yourself, our products and our team
Do you know, Why MongoDB is a fantastic place to work and build your career?
Disrupting a $64 Billion market
Top NoSQL database in the world
Largest Ecosystem and the fastest growing database in the world
Close to 17,000 customers in over 100 countries and over 90+ million downloads
120% net ARR expansion rate over each of the last twenty quarters
Sequoia Capital and a number of other Top VC firms have invested in MongoDB. Sequoia Capital calls us out as one of their flagship portfolios; Sequoia has also invested in Apple, Google, Youtube, and WhatsApp
9-figure revenue company, with very high double-digit growth rates
Be a part of the company that’s reinventing the database, focused on innovation and speed
Enjoy a fun, inspiring culture that is engineering focused
Work with talented people around the globe
Learn, contribute, and make an impact on the product and community
**Life at MongoDB**
**Our India office culture**
180+ people, with teams in Sales, Engineering, HR, Finance, IT & Marketing
Regular group outings and opportunities to get to know your colleagues
Employee affinity groups
Our Benefits
**Competitive salary and EQUITY**
Comprehensive Health cover, dental cover, travel insurance & Life Insurance.
Free lunch twice per week and a fully stocked kitchen with healthy and sweet treats
Macbooks are company standard
**26 weeks Maternity & 20 Paternity leave** to spend time with new arrivals
*MongoDB is an equal opportunities employer*
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Job description are as follows:-
· Node.js Developer Requirements:
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