Senior engineer/ AI Platform Architect

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.

Required Skills & Qualifications

● Strong hands-on experience with LLM frameworks and models, including LangChain,

OpenAI (GPT-4), and LLaMA

● Proven experience in LLM orchestration, workflow management, and multi-agent

system design using frameworks such as LangGraph

● Strong problem-solving skills with the ability to propose end-to-end solutions and

contribute at an architectural/system design level

● Experience building scalable AI-backed backend services using FastAPI and

asynchronous programming patterns

● Solid experience with cloud infrastructure on AWS, including EC2, S3, and Load

Balancers

● Hands-on experience with Docker and containerization for deploying and managing

AI/ML applications

● Good understanding of Transformer-based architectures and how modern LLMs work

internally

● Strong skills in data processing and analysis using NumPy and Pandas

● Experience with data visualization tools such as Matplotlib and Seaborn for analysis

and insights

● Hands-on experience with Retrieval-Augmented Generation (RAG), including

document ingestion, embeddings, and vector search pipelines

● Experience in model optimization and training techniques, including fine-tuning,

LoRA, and QLoRA

Nice to Have / Preferred

● Experience designing and operating production-grade AI systems

● Familiarity with cost optimization, observability, and performance tuning for

LLM-based applications

● Exposure to multi-cloud or large-scale AI platforms

Responsibilities

Develop and maintain web and backend components using Python, Node.js, and Zoho tools

Design and implement custom workflows and automations in Zoho

Perform code reviews to maintain quality standards and best practices

Debug and resolve technical issues promptly

Collaborate with teams to gather and analyze requirements for effective solutions

Write clean, maintainable, and well-documented code

Manage and optimize databases to support changing business needs

Contribute individually while mentoring and supporting team members

Adapt quickly to a fast-paced environment and meet expectations within the first month

Leadership Opportunities

Lead and mentor junior developers in the team

Drive projects independently while collaborating with the broader team

Act as a technical liaison between the team and stakeholders to deliver effective solutions

Selection Process

1. HR Screening: Review of qualifications and experience

2. Online Technical Assessment: Test coding and problem-solving skills

3. Technical Interview: Assess expertise in web development, Python, Node.js, APIs, and Zoho

4. Leadership Evaluation: Evaluate team collaboration and leadership abilities

5. Management Interview: Discuss cultural fit and career opportunities

6. Offer Discussion: Finalize compensation and role specifics

Experience Required

5- 7 years of relevant experience as a Software Developer

Proven ability to work as a self-starter and contribute individually

Strong technical and interpersonal skills to support team members effectively

Requirement:

● Role: Fullstack Developer

● Location: Noida (Hybrid)

● Experience: 1-3 years

● Type: Full-Time

Role Description : We’re seeking a Fullstack Developer to join our fast-moving team at Velto. You’ll be responsible for building robust backend services and user-facing features using a modern tech stack. In this role, you’ll also get hands-on exposure to applied AI, contributing to the development of LLM-powered workflows, agentic systems, and custom fi ne-tuning pipelines.

Responsibilities:

● Develop and maintain backend services using Python and FastAPI

● Build interactive frontend components using React

● Work with SQL databases, design schema, and integrate data models with Python

● Integrate and build features on top of LLMs and agent frameworks (e.g., LangChain, OpenAI, HuggingFace)

● Contribute to AI fi ne-tuning pipelines, retrieval-augmented generation (RAG) setups, and contract intelligence workfl ows

● Profi ciency with unit testing libraries like jest, React testing library and pytest.

● Collaborate in agile sprints to deliver high-quality, testable, and scalable code

● Ensure end-to-end performance, security, and reliability of the stack

Required Skills:

● Proficient in Python and experienced with web frameworks like FastAPI

● Strong grasp of JavaScript and React for frontend development

● Solid understanding of SQL and relational database integration with Python

● Exposure to LLMs, vector databases, and AI-based applications (projects, internships, or coursework count)

● Familiar with Git, REST APIs, and modern software development practices

● Bachelor’s degree in Computer Science or equivalent fi eld

Nice to Have:

● Experience working with LangChain, RAG pipelines, or building agentic workfl ows

● Familiarity with containerization (Docker), basic DevOps, or cloud deployment

● Prior project or internship involving AI/ML, NLP, or SaaS products

Why Join Us?

● Work on real-world applications of AI in enterprise SaaS

● Fast-paced, early-stage startup culture with direct ownership

● Learn by doing—no layers, no red tape

● Hybrid work setup and merit-based growth

At Pipaltree, we’re building an AI-enabled platform that helps brands understand how they’re truly perceived — not through surveys or static dashboards, but through real conversations happening across the world.

We’re a small team solving deep technical and product challenges: orchestrating large-scale conversation data, applying reasoning and summarization models, and turning this into insights that businesses can trust.

We’re looking for a Senior Fullstack Engineer who loves crafting delightful, high-performance applications that can handle thousands of concurrent users — and who thrives at the intersection of elegant UX and robust backend systems.

You’ll work closely with our AI, data, and product teams to build responsive, real-time interfaces that bring brand intelligence to life.

Requirements:

• Deep expertise in Next.js, React, Node.js, and TypeScript
• Experience architecting systems that handle thousands of concurrent users with low latency
• Strong understanding of web performance, caching, and asynchronous data flows
• Familiarity with databases (MongoDB/Postgres) and API design (REST or GraphQL)
• Strong product intuition — you care about UX, not just functionality
• Bonus: exposure to AI/LLM integrations, WebSockets, or event-driven architectures

Tech Lead

Location: On-site, Panaji, Goa

About Joyful

 Joyful is a leading AI-powered stakeholder communication management platform for voice of stakeholder analysis and contact center solutions. Our mission is to use AI to make all interactions between a company and its stakeholders joyful by removing friction. Joyful is a part of Germinait Solutions Pvt. Ltd.

Our Joyful modules, Engage and Listen, help businesses understand and manage stakeholder interactions across digital channels. We enable companies to provide exceptional customer experiences while maximizing the productivity and efficiency of their support teams, all through one seamless platform.

At Joyful, we're committed to fostering meaningful interactions between stakeholders and brands by providing actionable insights, personalized replies, and a joyful experience for customers, users, and employees alike.

The Opportunity

We're seeking a talented Technical Lead who will play a pivotal role in designing, building, and scaling Joyful’s AI-powered products. In this role, you will lead technical architecture decisions, guide the engineering team, and ensure our platform remains robust, scalable, and delightful to use. You’ll work closely with product, design, and business teams to deliver impactful features while maintaining high code quality and performance.

In addition to technical leadership, you’ll champion Vibe Coding—our approach to writing clean, collaborative, and joyful code that engineers love to create and maintain. This means setting the tone for high-quality, maintainable code while fostering an environment where building software is an energizing, shared experience.

What You'll Do

• Technical Leadership & Architecture:
• Lead the design and implementation of scalable, high-performance, and secure software solutions for Joyful’s Engage and Listen platforms.
• Define technical roadmaps, architecture patterns, and coding best practices
• Ensure adherence to software development standards and conduct regular code reviews
• Make critical build-versus-buy and technology adoption decisions
• Team Management & Collaboration:
• Mentor and coach a team of engineers, fostering a culture of learning, ownership, and innovation
• Collaborate with cross-functional teams (product, UX, QA) to align technical solutions with business goals
• Drive agile development practices, including sprint planning, retrospectives, and backlog prioritization
• Identify and resolve bottlenecks in development, deployment, and delivery processes
• Vibe Coding Culture:
• Lead by example in practicing Vibe Coding—writing code that is clean, well-structured, and joyful to work with
• Encourage pair programming, open collaboration, and frequent peer reviews
• Maintain high coding standards while keeping the process creative and energizing for the team
• Promote a development culture where engineers feel motivated, supported, and proud of the work they ship
• Hands-On Development:
• Contribute directly to code when needed—particularly for complex modules, integrations, and performance optimization
• Oversee the development of APIs, microservices, and integrations with third-party platforms
• Ensure robust CI/CD pipelines, test automation, and monitoring systems are in place
• Innovation & Continuous Improvement:
• Stay ahead of emerging technologies in AI, cloud, and enterprise communication platforms
• Propose and implement innovative solutions to improve product performance, security, and maintainability
• Drive proof-of-concepts for new features or architectural improvements
• Ensure systems are designed for high availability, scalability, and disaster recovery

What You'll Need

• 6+ years of professional software development experience, with at least 2 years in a technical leadership role
• Proven expertise in Java (Spring Boot), REST APIs, and microservices architecture
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and container orchestration (Docker, Kubernetes)
• Strong understanding of relational and NoSQL databases
• Experience building scalable, high-availability systems in B2B SaaS or AI-powered products
• Solid knowledge of software design patterns, performance optimization, and security best practices
• Familiarity with frontend technologies (Angular, React, or similar) is a plus
• Excellent communication and stakeholder management skills
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Passion for AI technologies and building software in a positive, high-energy coding environment

Why Join Joyful?

• Be at the forefront of the AI revolution in stakeholder management
• Lead impactful projects with a culture of Vibe Coding—where high-quality engineering meets great team energy
• Work with a highly skilled and passionate team
• Enjoy significant growth opportunities in a rapidly scaling organization
• A culture that values innovation, ownership, and collaborative problem-solving
• Work from our beautiful office in Goa, combining cutting-edge tech work with a high quality of life

At Joyful, we believe strong technical leadership is key to making every interaction seamless, intelligent, and joyful. If you’re excited about solving complex technical challenges while mentoring teams to deliver exceptional products, we’d love to meet you!

We are building an AI-powered chatbot platform and looking for an AI/ML Engineer with strong backend skills as our first technical hire. You will be responsible for developing the core chatbot engine using LLMs, creating backend APIs, and building scalable RAG pipelines.

You should be comfortable working independently, shipping fast, and turning ideas into real product features. This role is ideal for someone who loves building with modern AI tools and wants to be part of a fast-growing product from day one.

Responsibilities

• Build the core AI chatbot engine using LLMs (OpenAI, Claude, Gemini, Llama etc.)

• Develop backend services and APIs using Python (FastAPI/Flask)

• Create RAG pipelines using vector databases (Pinecone, FAISS, Chroma)

• Implement embeddings, prompt flows, and conversation logic

• Integrate chatbot with web apps, WhatsApp, CRMs and 3rd-party APIs

• Ensure system reliability, performance, and scalability

• Work directly with the founder in shaping the product and roadmap

Requirements

• Strong experience with LLMs & Generative AI

• Excellent Python skills with FastAPI/Flask

• Hands-on experience with LangChain or RAG architectures

• Vector database experience (Pinecone/FAISS/Chroma)

• Strong understanding of REST APIs and backend development

• Ability to work independently, experiment fast, and deliver clean code

Nice to Have

• Experience with cloud (AWS/GCP)

• Node.js knowledge

• LangGraph, LlamaIndex

• MLOps or deployment experience

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.
• 4+ 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.

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.

                                  Job Description

Profile Title: Software Development Engineer

Location: Pune Remote

Company Profile:

Growloc Private Limited is a leading Agri-tech company in India specializing in IoT solutions for farm management. We empower farmers with innovative technology to optimize resource usage, improve yields, and ensure consistent quality produce. Backed by a team of passionate individuals, Growloc Private Limited is committed to creating a more sustainable and productive future for Indian agriculture.

Role Overview:

 We’re looking for a MERN Stack Engineer (SDE-2) who’s passionate about building impactful products and believes in working smarter—with AI copilots, automation, and lean dev cycles. You’ll be part of a high-ownership team responsible for delivering full-stack features, writing testable code, and deploying to production with CI/CD.

Key Responsibilities:

• Build and maintain robust full-stack applications using MongoDB, Nest.js, React.js, and Node.js.

• Actively leverage AI tools (Copilot, ChatGPT, etc.) for faster development, documentation, and writing test cases.

• Write and maintain unit, integration, and end-to-end tests to ensure code quality.

• Own features end-to-end—from design to deployment using modern CI/CD workflows (GitHub Actions, Vercel, AWS).

• Collaborate with product, data, and hardware teams in a lean setup to ship fast and iterate often.

• Ensure performance, responsiveness, and scalability of front-end and backend systems.

Required Skills:

• 2–5 years of professional experience building products using the MERN stack.

• Strong understanding of frontend architecture (React Hooks, Context API/Redux).

• Proficiency in Node.js, Express, and MongoDB schema design.

• Familiarity with CI/CD tools, Git workflows, and cloud deployments.

• Experience with automated testing frameworks (Jest, Mocha, Cypress, etc.).

• Demonstrated use of AI-based coding assistants in real-world development workflows.

Good to Have:

• Exposure to IoT systems or integration with hardware devices.

• Experience working with LoRaWAN protocols and sensor data ingestion.

• Familiarity with WebSockets, MQTT, or real-time data processing.

• Background in agriculture, climate-tech, or rural tech products.

• Knowledge of TypeScript or serverless architectures.

Compensation: Best as per the market standards

At Growloc, we believe in purpose-driven technology. You’ll be part of a collaborative team working at the intersection of agriculture and innovation. If you're excited about building products that matter—and making a real-world impact—this is the place for you.