Urgent opening for Sr. AI Engineer

Title: Sr. Python Developer (Full-Stack & AI)

Location: Onsite – Mumbai, Maharashtra (Western Line)

Experience: 2 - 5+ years

Pay: ₹400,000.00 - ₹600,000.00 per year

Joining: Immediate

About the Role

We are building AI products for enterprise use and need a Senior Python Developer for our core team. You will be responsible for the full-stack architecture—designing both the backend and frontend. We want someone who works smart by using AI tools to build fast, but also has great skills to code manually when the logic is complex or needs high precision.

Key Responsibilities

• Build and maintain full-stack applications using Python and Django.
• Use AI-powered IDEs and development tools as your primary method to ship code quickly.
• Perform manual coding and deep debugging for complex logic that AI cannot handle alone.
• Collaborate with AI/ML teams to put machine learning models into production.
• Design how the entire system (frontend, backend, and database) works together.
• Optimize the application for speed, security, and reliability.
• Participate in technical discussions and help make architecture decisions.

Required Skills & Experience

• Minimum 5 years of professional Python development experience.
• Strong expertise in Django (Primary) and experience with FastAPI or Flask.
• Full-stack capability: Ability to design and build both the frontend and backend.
• Modern Tooling: High proficiency in using AI-powered IDEs and AI dev-agents to speed up your workflow.
• Manual Coding: Strong ability to write clean, manual code for complex backend logic.
• Solid understanding of databases like PostgreSQL, MySQL, or Redis.
• Familiarity with Cloud platforms (AWS/Azure/GCP) and Docker.
• Experience or strong interest in AI/ML pipeline integration.

Good to Have

• Experience with React or Next.js for the frontend.
• Exposure to message brokers like RabbitMQ or Kafka.
• Knowledge of Vector databases or RAG pipelines.
• Experience with CI/CD and basic DevOps.

Experience:

• Total: 3 years (Required)
• Python/Django: 3 years (Required)

Work Location: In person (Borivali, Mumbai)

About Marseer AI

Marseer AI (www.marseerai.com) is a Seattle-based company building an AI-powered marketing intelligence platform for DTC and retail e-commerce brands. The platform combines brand strategy, customer data, automation, and generative AI to help marketing teams drive consistent, data-driven engagement across email, SMS, paid media, SEO, and affiliate channels.

Role Overview

We are looking for an experienced AI Engineer - Full Stack Developer to join the Marseer platform team. This is a dual-track role: you will build and maintain AI agent pipelines, LLM integrations, and RAG-based intelligence systems on the backend, while also owning frontend interfaces that surface insights, recommendations, and campaign outputs to marketing teams and brand operators.

You should be equally comfortable designing multi-step agentic workflows in Python and building clean, responsive product interfaces in React/Next.js. You understand how LLMs behave in production, know how to engineer prompts and tool chains for reliability, and care deeply about the end-to-end user experience.

What You Will Do

- Design and implement multi-step AI agent workflows using LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar.

- Build and maintain RAG pipelines, including chunking strategies, embedding generation, vector store management, and retrieval tuning.

- Integrate with LLM providers such as OpenAI, Anthropic, or others, including prompt engineering, tool/function calling, structured output generation, and context window management.

- Develop AI-driven features such as campaign brief generation, audience recommendations, content variant creation, and performance insight summarization.

- Implement evaluation and observability frameworks to monitor LLM output quality, latency, and cost in production.

- Build frontend interfaces using React and Next.js, including dashboards, agent interaction UIs, campaign builders, and insight surfaces.

- Design and implement RESTful and/or GraphQL APIs in Python (FastAPI or Flask) or Node.js to serve AI outputs to the frontend.

- Integrate frontend with backend AI services, streaming LLM responses, and real-time status updates.

- Work with structured and unstructured marketing data, campaign performance metrics, audience segments, content libraries, and brand strategy documents.

- Integrate with marketing platforms and data sources such as Klaviyo, Google Ads, Meta, and Shopify.

Requirements

- 5-10 years of professional software engineering experience, with meaningful time in both backend and frontend development.

- Proven experience building and deploying LLM-powered applications in production, not just prototypes.

- Strong proficiency in Python for backend and AI development.

- Strong proficiency in React and Next.js for frontend development.

- Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or equivalent.

- Experience building RAG pipelines, vector stores such as Pinecone, Weaviate, pgvector, or similar, embedding models, and retrieval strategies.

- Experience with API design, REST or GraphQL, and backend service architecture.

Strongly Preferred

- Experience designing and building multi-agent or agentic AI systems with tool use, memory, and planning capabilities.

- Familiarity with prompt engineering best practices, structured output generation, and LLM evaluation methodologies.

- Experience with streaming LLM responses and real-time UI updates using SSE or WebSockets.

- Prior work in a SaaS product company shipping production features.

- Familiarity with marketing platforms, e-commerce data, or martech ecosystems.

Good to Have

- TypeScript and modern frontend tooling such as Tailwind CSS or shadcn/ui.

- Familiarity with Snowflake or other cloud data warehouses as data sources for AI pipelines.

- Experience with observability tools for LLM applications such as LangSmith, Helicone, Arize, or similar.

- Understanding of marketing concepts such as segmentation, campaign lifecycle, attribution, and content personalization.

What We Are Looking For

- Availability to work US business hours; overlap with US Eastern or Pacific timezone is required for client collaboration and team standups.

- Strong written and verbal English communication.

- Product sense and ownership mindset.

- Comfort with ambiguity in non-deterministic LLM-powered systems.

- Collaborative working style across engineering, design, and client-facing functions.

What We Offer

- Competitive compensation based on experience.

- Fully remote role; work from anywhere in India, with Hyderabad-based candidates preferred.

- High-impact work at the frontier of applied AI for marketing and e-commerce.

- Direct exposure to real brand problems, real data, and real production AI systems.

- A small, senior team where your architecture decisions matter and your contributions are visible.

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

We’re building the future of AI-powered sales enablement.

PitchSense AI is a flagship product within our portfolio of AI-driven Sales and Marketing solutions.

We blend conversational intelligence, generative AI, and behavioural analytics to help people master persuasion through real-time AI simulations.

Why PitchSense AI

Working here means joining a small, fast-moving team that lives at the frontier of applied AI.

You’ll:

• Build in a high-pace, high-learning environment where ideas ship fast.
• Tinker with cutting-edge AI tools, agents, and large language models (LLMs) daily.
• Prototype novel ways to combine speech, emotion, and reasoning into human-like training experiences.
• Learn across multiple domains — engineering, design, analytics, and product.
• Work directly with the founding team on problems no one has solved before.

This is not routine work — it’s an opportunity to shape entirely new experiences in human-AI interaction while growing faster than you ever have before.

Stack: Next.js · TypeScript · NestJS · Prisma · PostgreSQL · AWS · OpenAI · AISDK · AI Agents · RAG · ElevenLabs

Culture: Ownership · Velocity · Craftsmanship

SDE III / Tech Lead

Location: Gurgaon

Experience: 5+ years | Type: Full-time | Reports to: CTO

Role Overview

Be a founding technical anchor, leading architecture and mentoring the core team as we scale PitchSense AI from MVP to enterprise platform.

Responsibilities

• Design high-performance systems for real-time AI simulations and analytics.
• Lead pods spanning frontend, backend, and DevOps.
• Own architecture, data flows, and AWS deployment strategy.
• Partner closely with product and design for cross-functional delivery.
• Mentor SDE I / II engineers and set engineering standards.

Requirements

• 5+ years experience (1+ in lead/architect capacity).
• Deep expertise in TypeScript/Node.js, React/Next.js, PostgreSQL/Prisma, AWS Cloud.
• Proven record in distributed, data-intensive system design.
• Strong system design and DevOps understanding.
• Excellent leadership and collaboration skills.

Bonus

• Experience with vector databases or LLM infrastructure.
• Prior B2B SaaS scaling experience.

Developer Tools & Workflow

Every engineer and designer at PitchSense AI uses modern, AI-augmented tools to move fast and ship better.

Tools

• Cursor IDE
• Claude Code
• AWS (Lambda, ECS, RDS, S3)
• AI-based Code Reviews
• MagicPath
• Figma AI

Workflow Highlights

• Continuous deployment via GitHub Actions / AWS Pipelines.
• PR preview environments for instant testing.
• AI-driven code review loops for rapid iteration.
• Cross-disciplinary culture - work across frontend, backend, DevOps, and design.

Culture & Perks

• Ownership from day one - every role is founding-level.
• 6-day work week, Monday to Saturday.
• High-performance, meritocratic culture - growth based on impact, not tenure.
• Cross-discipline learning - explore code, design, and infrastructure alike.
• MacBook for work and premium tooling.
• Annual offsite for alignment and collaboration.
• Competitive compensation and ESOPs for core hires.
• Direct mentorship from the CTO and founding team.
• Real impact - reshape how humans learn to sell, speak, and persuade through AI.

We are building an advanced, AI-driven multi-agent software system designed to revolutionize task automation and code generation. This is a futuristic AI platform capable of:

✅ Real-time self-coding based on tasks  

✅ Autonomous multi-agent collaboration  

✅ AI-powered decision-making  

✅ Cross-platform compatibility (Desktop, Web, Mobile)  

We are hiring a highly skilled **AI Engineer & Full-Stack Developer** based in India, with a strong background in AI/ML, multi-agent architecture, and scalable, production-grade software development.

### Responsibilities:

- Build and maintain a multi-agent AI system (AutoGPT, BabyAGI, MetaGPT concepts)  

- Integrate large language models (GPT-4o, Claude, open-source LLMs)  

- Develop full-stack components (Backend: Python, FastAPI/Flask, Frontend: React/Next.js)  

- Work on real-time task execution pipelines  

- Build cross-platform apps using Electron or Flutter  

- Implement Redis, Vector databases, scalable APIs  

- Guide the architecture of autonomous, self-coding AI systems  

### Must-Have Skills:

- Python (advanced, AI applications)  

- AI/ML experience, including multi-agent orchestration  

- LLM integration knowledge  

- Full-stack development: React or Next.js  

- Redis, Vector Databases (e.g., Pinecone, FAISS)  

- Real-time applications (websockets, event-driven)  

- Cloud deployment (AWS, GCP)  

### Good to Have:

- Experience with code-generation AI models (Codex, GPT-4o coding abilities)  

- Microservices and secure system design  

- Knowledge of AI for workflow automation and productivity tools  

Join us to work on cutting-edge AI technology that builds the future of autonomous software.

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

We are looking for a resource with 2-4 years of experience in Full stack with Python and Vue.js with ML/AI skills. As a developer, you’ll gain valuable management experience delegating responsibilities to the rest of your team and reviewing the work of junior developers.

Requirement:

• Bachelor’s Degree in Computer Science (good to have).
• 2+ years’ experience in web and software development
• Ability to work independently and multi-task effectively
• Demonstrated understanding of projects from the perspective of both client and business(preferably from cybersecurity domain).

Technical Skills required:

• Node Js,
• Vue.JS
• ML/AI
• Python
• Agile Development

Roles & Responsibilities:

• Develops software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes; investigating problem areas; and following the software development lifecycle.
• Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code.
• Prepares and installs solutions by determining and designing system specifications, standards, and programming.
• Improves operations by conducting systems analysis and recommending changes in policies and procedures.
• Meeting deadlines.
• Accomplishes engineering and organization mission by completing related results as needed.
• Troubleshoot, debug and upgrade existing software

Job Type: Full-time

Salary: OPEN

Benefits:

• Flexible schedule
• Paid sick time

This is a fast filling role.