Urgent opening for Sr. AI Engineer

About the company

We’re building an agentic, AI-native infrastructure for creator advertising, automating the end-to-end campaign lifecycle (brief → creator selection → outreach/follow-ups → approvals → delivery QA → reporting) with enterprise-grade workflows, reliability, and measurable outcomes.

The role

As a Full Stack Engineer, you will design and build core systems across backend, product surfaces, integrations, and LLM-powered automation. You’ll take high ownership, move quickly, and set strong engineering foundations as we scale. This is an in-office role in Mumbai. 

Location: Mumbai (In-office, 5 days/week)

Type: Full-time

Experience: 3.5 + years (flexible; we value ownership and shipping ability over years)

Reports to: Founder/CEO (partners closely with PM)

Traction: Working with large enterprises and managing seven-figures per month in influencer spend 

What we’re looking for

Must-haves

• Strong software engineering fundamentals with a track record of shipping production systems
• LLM/AI experience is required: you’ve shipped LLM-powered features to users (agents/tool-calling/RAG/evals/guardrails—at least some of these)
• Comfortable owning end-to-end systems (backend + APIs + data + enough frontend to deliver outcomes)
• Strong practical skills in at least one stack such as Node.js / TypeScript / Go
• Experience with:

○ REST APIs, webhooks, auth (JWT/OAuth basics), role-based permissions

○ production debugging (logs/metrics/traces), handling edge cases, writing tests

○ core data stores (e.g., Postgres) and common cloud primitives

• High ownership, speed, and strong product intuition
• Mumbai in-office availability (or immediate relocation)

Nice to have

• Experience with workflow-heavy products: marketplaces, fintech, logistics, AdTech, B2B SaaS
• SQL comfort and familiarity with analytics pipelines / event schemas
• Multi-tenant enterprise features: audit logs, data isolation, SSO (now or later)

What you’ll do

Build core product workflows (enterprise-grade)

• Implement robust workflow/state systems (approvals, retries, exceptions, audit logs)
• Build internal tooling/admin panels to scale operations and reduce manual effort
• Deliver customer-facing dashboards and reporting experiences

Build and ship LLM/agent capabilities (must-have)

• Implement agentic workflows using LLMs + tools (retrieval, structured actions, messaging sequences, QA checks)
• Build guardrails: policy checks, human-in-the-loop review points, safe fallbacks, and prompt/tool versioning
• Create evaluation & monitoring: offline test sets, automated checks, and online metrics to maintain output quality over time

Integrations + platform plumbing

• Build and maintain integrations via APIs/webhooks
• Own instrumentation: event tracking, data quality checks, and reporting accuracy
• Implement permissions, access controls, and reliability patterns appropriate for enterprise usage

Engineering culture + velocity

• Ship frequently with high quality (tests, code review, CI, observability)
• Collaborate closely with product on discovery, prioritization, and customer feedback
• Contribute to hiring and mentoring as the team grows

Role Overview:

As an AI Executor/AI Automation Engineer, you will be responsible for designing and integrating AI capabilities into production systems using Python and key ML libraries. This role requires a strong backend development foundation and a proven track record of deploying AI use cases using tools like TensorFlow, Keras, or OpenAI APIs. You'll work cross-functionally to deliver scalable AI-driven solutions.

Key Responsibilities:

• Design and develop backend solutions using Python, with a focus on AI-driven features.
• Implement and integrate AI/ML models using tools like OpenAI, Hugging Face, or Lang Chain.
• Use core Python libraries (NumPy, Pandas, TensorFlow, Keras) to process data, train, or implement models.
• Translate business needs into AI use cases and deliver working solutions.
• Collaborate with product, engineering, and data teams to define integration workflows.
• Develop REST APIs and micro services to deploy AI components within applications.
• Maintain and optimize AI systems for scalability, performance, and reliability.
• Keep pace with advancements in the AI/ML landscape and evaluate tools for continuous improvement.

Required Skills & Qualifications:

• 2+ years of professional experience as an AI/ML Engineer, including strong backend development expertise in Python.
• Proficiency in libraries such as NumPy, Pandas, TensorFlow, and Keras
• Practical exposure to AI platforms/APIs (e.g., OpenAI, LangChain, Hugging Face)
• Solid understanding of REST APIs, micro services, and integration practices
• Ability to work independently in a remote setup with strong communication and ownership
• Excellent problem-solving and debugging capabilities
• Experience with the MERN stack will be an added advantage.

Role Overview

We are seeking a highly skilled and experienced Senior AI Engineer with deep expertise in computer vision and architectural design. The ideal candidate will lead the development of robust, scalable AI systems, drive architectural decisions, and contribute significantly to the deployment of real-time video analytics, multi-model systems, and intelligent automation

solutions.

Key Responsibilities

 Design and lead the architecture of complex AI systems in the domain of computer vision and real-time inference.

 Build and deploy models for object detection, image segmentation, classification, and tracking.

 Mentor and guide junior engineers on deep learning best practices and scalable software engineering.

 Drive end-to-end ML pipelines: from data ingestion and augmentation to training, deployment, and monitoring.

 Work with YOLO-based and transformer-based models for industrial use-cases.

 Lead integration of AI systems into production with hardware, backend, and DevOps teams.

 Develop automated benchmarking, annotation, and evaluation tools.

 Ensure maintainability, scalability, and reproducibility of models through version control, CI/CD, and containerization.

Required Skills

 Advanced proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).

 Strong experience with YOLO, segmentation networks (UNet, Mask R-CNN), and

tracking (Deep SORT).

 Sound understanding of real-time video analytics and inference optimization.

 Hands-on experience designing model pipelines using Docker, Git, MLflow, or similar tools.

 Familiarity with OpenCV, NumPy, and image processing techniques.

 Proficiency in deploying models on Linux systems with GPU or edge devices (Jetson, Coral)

Good to Have

 Experience with multi-model orchestration, streaming inference (DeepStream), or virtual camera inputs.

 Exposure to production-level MLOps practices.

 Knowledge of cloud-based deployment on AWS, GCP, or DigitalOcean.

 Familiarity with synthetic data generation, augmentation libraries, and 3D modeling tools.

 Publications, patents, or open-source contributions in the AI/ML space.

Qualifications

 B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or related field.

 4+ years of proven experience in AI/ML with a focus on computer vision and system- level design.

 Strong portfolio or demonstrable projects in production environments

We’re partnering with a fast-growing AI-first enterprise transforming how organizations handle documents, decisioning, and workflows — starting with BFSI and healthcare. Their platforms are redefining document intelligence, credit analysis, and underwriting automation using cutting-edge AI and human-in-the-loop systems.

As an AI Engineer, you’ll work with a high-caliber engineering team building next-gen AI systems that:

• Power robust APIs and platforms used by underwriters, analysts, and financial institutions.
• Build and integrate GenAI-powered agents.
• Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.

Key Responsibilities

• Build and optimize ML/DL models for document understanding, classification, and summarization.
• Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
• Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
• Package and deploy models as REST APIs or microservices in production environments.
• Collaborate with engineering teams to integrate models into existing products and workflows.
• Monitor, retrain, and fine-tune models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose system improvements.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and deployment.
• Strong Python proficiency (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow).
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with FastAPI/Flask, Docker, and cloud environments (AWS/GCP/Azure).
• Working knowledge of CI/CD pipelines, model validation, and evaluation workflows.
• Strong problem-solving skills, structured thinking, and production-quality coding practices.

Bonus Skills

• Domain exposure to Fintech/BFSI or Healthcare (e.g., credit underwriting, claims automation, KYC).
• Experience with vector databases (FAISS, Pinecone, Weaviate) and semantic search.
• Knowledge of MLOps tools (MLflow, Airflow, Kubeflow).
• Experience integrating GenAI into SaaS or enterprise products.

Education

• B.Tech / M.Tech / MS in Computer Science, Data Science, or related field.
• (Equivalent hands-on experience will also be considered.)

Why Join

• Build AI systems from prototype to production for live enterprise use.
• Work with a senior AI and product team that values ownership, innovation, and impact.
• Exposure to LLMs, GenAI, and Document AI in large-scale enterprise environments.
• Competitive compensation, career growth, and a flexible work culture.

Experienced Senior Full Stack Engineer to Build & Backend for Event Ticketing Platform Using Claude Code

Overview

We have the frontend already built in Replit for both user and admin experiences. We are looking for a very experienced software engineer to design, build, and scale a production ready backend for a high concurrency event ticketing platform.

This role is for a true senior engineer who actively uses Claude Code as part of their daily development workflow, understands how to review and harden AI assisted output, and can ship systems that hold up under real world load, QA, and security testing.

This is not a prototype or demo system. This backend must be reliable, scalable, secure, and extremely well documented.

What You Will Be Building

• Backend services for an event ticketing platform

• Multi tenant architecture supporting thousands of organizers and events

• High concurrency purchase and checkout flows

• Secure user, admin, and system level access controls

• Production deployments with secrets management, middleware, and security layers

• Observability, logging, and metrics suitable for QA and load testing

• A thoroughly documented backend that future engineers can onboard into quickly

Core Engineering Requirements

• 10 plus years of professional software engineering experience

• Expert level experience using Claude Code or equivalent AI coding agents in real production workflows

• Deep experience building backends with Node.js

• Strong experience with Supabase and PostgreSQL

• Experience deploying and scaling applications on Vercel

• Proven experience extending existing codebases safely

• Strong API design and database performance fundamentals

• Ability to reason clearly about concurrency, transactions, and failure modes

Scalability and Performance Expectations

The backend must be designed to support:

• Hundreds of thousands of ticket purchases

• Thousands of concurrent users and tenants

• Large traffic spikes during on sale windows

• Load testing across all major latency percentiles including p90, p95, and p99

• Extremely low tail latency under high concurrency

• Graceful degradation and recovery under stress

You should be comfortable designing and implementing caching strategies, queue based workflows, idempotent operations, locking mechanisms, and transactional safety.

Security and Production Readiness

You must be able to:

• Set up production environments with proper secrets management

• Implement middleware for authentication, authorization, and rate limiting

• Design secure communication between frontend and backend

• Apply industry best practices for security hardening

• Prepare the system to pass penetration testing

• Maintain clean separation of concerns and least privilege access

Documentation and Developer Experience Requirements

High quality documentation is a hard requirement for this role.

You must have experience:

• Using AI powered documentation tools to generate and maintain technical documentation

• Producing clear architectural overviews and system diagrams

• Writing detailed README files and onboarding guides

• Documenting APIs, data models, and critical flows

• Keeping documentation in sync with code changes over time

We expect the backend to be easy to understand, easy to extend, and well explained for future engineers.

How We Evaluate Candidates

We are looking for engineers who can demonstrate:

• Real production systems they have built or scaled

• Clear judgment in how they use Claude Code and validate AI generated output

• Strong opinions on production readiness backed by experience

• The ability to move fast without sacrificing quality or safety

A short paid technical task may be used that involves real backend work with production quality code and documentation.

Key Responsibilities:

• Develop and maintain scalable Python applications for AI/ML projects.
• Design, train, and evaluate machine learning models for classification, regression, NLP, computer vision, or recommendation systems.
• Collaborate with data scientists, ML engineers, and software developers to integrate models into production systems.
• Optimize model performance and ensure low-latency inference in real-time environments.
• Work with large datasets to perform data cleaning, feature engineering, and data transformation.
• Stay current with new developments in machine learning frameworks and Python libraries.
• Write clean, testable, and efficient code following best practices.
• Develop RESTful APIs and deploy ML models via cloud or container-based solutions (e.g., AWS, Docker, Kubernetes).

Share Cv to

Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

Location: Hybrid/ Remote

Openings: 2

Experience: 5+ Years

Qualification: Bachelor’s or Master’s in Computer Science or related field

Job Responsibilities

Problem Solving & Optimization:

• Analyze and resolve complex technical and application issues.
• Optimize application performance, scalability, and reliability.

Design & Develop:

• Build, test, and deploy scalable full-stack applications with high performance and security.
• Develop clean, reusable, and maintainable code for both frontend and backend.

AI Integration (Preferred):

• Collaborate with the team to integrate AI/ML models into applications where applicable.
• Explore Generative AI, NLP, or machine learning solutions that enhance product capabilities.

Technical Leadership & Mentorship:

• Provide guidance, mentorship, and code reviews for junior developers.
• Foster a culture of technical excellence and knowledge sharing.

Agile & Delivery Management:

• Participate in Agile ceremonies (sprint planning, stand-ups, retrospectives).
• Define and scope backlog items, track progress, and ensure timely delivery.

Collaboration:

• Work closely with cross-functional teams (product managers, designers, QA) to deliver high-quality solutions.
• Coordinate with geographically distributed teams.

Quality Assurance & Security:

• Conduct peer reviews of designs and code to ensure best practices.
• Implement security measures and ensure compliance with industry standards.

Innovation & Continuous Improvement:

• Identify areas for improvement in the software development lifecycle.
• Stay updated with the latest tech trends, especially in AI and cloud technologies, and recommend new tools or frameworks.

Required Skills

• Strong proficiency in JavaScript, HTML5, CSS3
• Hands-on expertise with frontend frameworks like React, Angular, or Vue.js
• Backend development experience with Java, Spring Boot (Node.js is a plus)
• Knowledge of REST APIs, microservices, and scalable architectures
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Experience with Agile/Scrum methodologies and JIRA for project tracking
• Proficiency in Git and version control best practices
• Strong debugging, performance optimization, and problem-solving skills
• Ability to analyze customer requirements and translate them into technical specifications

We are looking for skilled AI Engineer for our organization. Please have a look to below details and revert accordingly if we can discuss further

Company Name: TechWize (A Business unit of Mangalam Information Technologies Pvt Ltd.)

Our Accreditations -

• 25 years of industry presence
• Salesforce Partner
• ISO 27001:2019 certified
• Great Place to Work certified
• HIPAA Compliant
• SOC2 Compliant
• NASSCOM Member

Our EVP (Employee Value proposition)

• We are a Great place to work certified company.
• 30 Earned Leaves during calendar Year
• Career progression and continuous Learning & Development (Technical, Soft skills, Communication, Leadership)
• Performance bonus & Loyalty Bonus Benefits
• 5 Days working
• Rewards and Recognition programs
• Standard Salary as per market norms
• Equal career opportunities, No discrimination
• Magnificent & Dynamic Culture
• Festival celebrations & fun events

Explore more : https://techwize.com/, https://mangalaminfotech.com/

Position: AI/Sr. AI Engineer

Job location: Ahmedabad

Experience: 4+ years

Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Key Responsibilities:

• Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
• Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
• Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
• Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
• Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
• Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
• Optimize models for performance, cost-efficiency, and low latency in production.
• Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
• Mentor junior AI engineers and contribute to internal AI best practices and documentation.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
• 5+ years of hands-on experience in AI/ML solution development.
• Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
• Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
• 
  
• Proficient in key AI libraries and frameworks:
• LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP: SpaCy, NLTK.
• Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps: MLflow, FastAPI, Docker, Git
• 
  
• Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
• Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
• Strong communication skills and ability to convert business problems into technical solutions.

AI-Native Full-Stack Engineer

Location: Pune, India (Onsite)

Experience: 2–5 years

Team: Engineering

If you're a fast-moving full-stack engineer with sharp problem-solving skills, deep web dev know-how, and a passion for using AI to ship smarter and faster — you might’ve just found your dream role.

About FlytBase

At FlytBase, we’re not just creating a product — we’re on a zero-to-one journey, building a whole new global category that’s never existed before.

We’re on a mission to unlock the world’s third dimension with fully autonomous drones. That means solving problems from first principles, embracing bold experimentation, and pushing the boundaries of what’s possible.

If you’re bored of cookie-cutter playbooks and ready for something fresh, exciting (and yes, involving drones), this is your place.

Don’t believe it? Challenge us — we’d love to show you why we’re so confident in what we’re building.

What You’ll Do

• Build from zero- Turn raw ideas into high-impact features — fast.
• Engineer with AI- Use AI to prototype, ship, debug, and iterate at blinding speed.
• Move across the stack- Work fluidly across UI, APIs, backend, services, and deployment.
• Think like a founder - You won’t be assigned tasks — you’ll own outcomes.

You’re a Great Fit If You...

• Are AI-native - You treat AI as a superpower, not a novelty.
• Ship relentlessly -You can out-ship most with one hand tied.
• Think problem-first - You pick tools for results — not popularity.
• Hate hand-holding - You own your sprints, your bugs, and your outcomes.
• Are built different - You don’t want a job. You want war. Legacy. Impact.

Our Stack

React? Rust? Firebase?

We don’t care what you’ve used — we care if you can:

• Learn fast
• Build faster
• Adapt even faster

You’ll use AI tools to go 5x faster than the average engineer — and still want to go faster.

Apply Now: https://lnk.ink/5uP0H