
Senior AI engineer Computer vision solution Architect
at AI Startup company
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

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Overview:
We're looking for a Full Stack Developer with strong backend expertise who can build,
manage, and scale AI-driven products end to end. You'll play a critical role in designing
scalable architectures, optimizing performance and cost, and building robust AI and agentic
systems.
Responsibilities
1. Architect and build scalable backend systems using FastAPI, PostgreSQL, and Redis.
2. Design, develop, and maintain AI-driven applications, integrating multiple LLMs, APIs,
and agentic frameworks.
3. Implement vector databases (pgvector, Qdrant, etc.) for RAG and AI memory systems.
4. Orchestrate multi-agent AI systems with LangChain/LangGraph, including function
calling, agent collaboration, and monitoring.
5. Build and integrate RESTful APIs for frontend and external use.
6. Manage DevOps workflows, including CI/CD, cloud deployments (AWS/GCP), server
scaling, and logging/monitoring (Sentry).
7. Optimize application cost, latency, and reliability, balancing speed with LLM call
efficiency and caching strategies.
8. Collaborate with product, design, and AI teams to translate business requirements into
high-performing tech.
9. Maintain documentation and ensure code quality with tests, reviews, and async-first
architecture.
10. Contribute to frontend development (React + TypeScript) when necessary, ensuring
seamless API integration and data visualization.
Requirements
Core Skills
• Strong proficiency in Python and FastAPI.
• Experience with PostgreSQL (including pgvector) and SQLAlchemy (async).
• Solid understanding of Redis, RQ (Redis Queue), and caching mechanisms.
• Proven experience integrating LLMs and AI APIs (OpenAI, Anthropic, etc.).
• Hands-on experience with LangChain / LangGraph, RAG pipelines, and agent
orchestration.
• Experience working with cloud platforms (AWS / GCP) and managing file storage (S3).
• Familiarity with frontend stacks (React, TypeScript, Tailwind, Zustand).
• Working knowledge of DevOps: Docker, CI/CD pipelines, deployment automation, and
observability tools (Sentry, Mixpanel, Clarity).
Bonus / Nice to Have
• Experience building agent monitoring dashboards or AI workflows.
• Prior experience in startup or product-based environments.
• Understanding of LLM cost optimization, token management, and function calling
orchestration.
• Familiarity with external API integrations like BrightData, Hunter.io, Adzuna, and Serper.
• Experience building scalable AI products (e.g., chatbots, AI copilots, data agents, or
automation tools).
Mindset
• Startup-ready: comfortable working in fast-paced, ambiguous environments.
• Deep curiosity about AI systems and automation.
• Strong sense of ownership and accountability for shipped products.
• Pragmatic and cost-conscious in architectural decisions.
• Excellent communication and documentation skills.
We're Hiring | Full Stack AI Engineer – Multi-Agent Systems
We are looking for a Full Stack AI Engineer who can own end-to-end feature delivery – from designing agent communication patterns and orchestration logic on the backend, to building intuitive interfaces for configuring, monitoring, and debugging agent workflows. You will work directly with the architect and product owner to translate orchestration concepts (agent-to-agent messaging, tool use, handoffs, memory) into a production-grade system.
This is a hands-on builder role. You will not be writing strategy decks – you will be shipping agents, APIs, and UI.
Location: Pune
Experience: 4–7 Years (1.5+ years in GenAI/AI Agents)
Employment Type: Full-time
Key Responsibilities
Backend & Agent Development
• Design and implement multi-agent workflows using AG2 (AutoGen) and/or LangGraph – including agent roles, conversation patterns, handoffs, and termination conditions.
• Build and maintain FastAPI services that expose orchestration capabilities (agent registration, task submission, run status, streaming responses) to the frontend and external consumers.
• Implement tool/function calling, structured outputs, and memory layers (short-term, long-term, vector-based) for agents.
• Integrate LLM providers (OpenAI, Anthropic, AWS Bedrock, or local models via Ollama) with proper retry, timeout, and cost controls.
• Write clean, testable Python with type hints, pydantic models, and clear separation between orchestration logic and infrastructure.
Frontend Development
• Build React-based interfaces for configuring agents, visualising agent conversations, inspecting tool calls, and debugging runs.
• Implement streaming UI (SSE/WebSockets) to render token-by-token agent responses and intermediate steps.
• Collaborate on UX for workflow builders, run history, and observability dashboards.
System & Production Concerns
• Containerise services with Docker and contribute to CI/CD pipelines.
• Add logging, tracing, and basic evaluation hooks for agent runs (latency, token usage, success rates).
• Participate in code reviews, design discussions, and incremental hardening of the platform.
Must-Have Skills
• Full stack experience (5+ years): strong Python (FastAPI or similar) on the backend AND React on the frontend. Comfortable owning a feature across both layers.
• Hands-on with at least one agent framework: AG2 (AutoGen), LangGraph, LangChain Agents, or CrewAI. Must have actually built and run multi-agent flows, not just read about them.
• LLM application development: prompt design, tool/function calling, structured outputs, handling streaming responses, and basic context management.
• RAG fundamentals: chunking strategies, embeddings, vector stores (pgvector / Qdrant / Weaviate / FAISS), and retrieval evaluation. Bonus for hybrid (sparse + dense) retrieval.
• Database skills: PostgreSQL – schema design, indexing, and writing reasonable queries.
• API & async patterns: REST design, async Python (asyncio), background jobs, and streaming endpoints.
• Version control & collaboration: Git, PR-based workflows, writing clear commit messages and design notes.
Good-to-Have Skills
• Experience with GCS for deploying AI workloads.
• Familiarity with LLMOps – tracing (LangSmith / Langfuse / OpenTelemetry), evaluation frameworks, and prompt versioning.
• Exposure to MCP (Model Context Protocol) or A2A (agent-to-agent) communication standards.
• Experience running local LLMs (Ollama, vLLM) for prototyping or cost-sensitive workloads.
• Knowledge of WebSockets / SSE for real-time UIs.
• Basic understanding of fine-tuning concepts (LoRA / QLoRA) – we are not expecting trainers, just awareness.
About the Role
We’re hiring a Full Stack Engineer who can own features end to end, from UI to APIs to data models.
This is not a “ticket executor” role. You’ll work directly with product, AI, and founders to shape how users interact with intelligent financial systems.
If you enjoy shipping real features, fixing real problems, and seeing users actually use what you built, this role is for you.
What You Will Do
- Build and ship frontend features using React, Next.js, and React Native
- Develop backend services and APIs using Python and/or Golang
- Own end-to-end product flows like onboarding, dashboards, insights, and AI conversations
- Integrate frontend with backend and AI services (LLMs, tools, data pipelines)
- Design and maintain PostgreSQL schemas, queries, and migrations
- Ensure performance, reliability, and clean architecture across the stack
- Collaborate closely with product, AI, and design to ship fast and iterate
- Debug production issues and continuously improve UX and system quality
What We’re Looking For
- 2 to 3+ years of professional full stack engineering experience
- Strong hands-on experience with React, Next.js, and React Native
- Backend experience with Python and/or Golang in production
- Solid understanding of PostgreSQL, APIs, and system design
- Strong fundamentals in HTML, CSS, TypeScript, and modern frontend patterns
- Ability to work independently and take ownership in a startup environment
- Product-minded engineer who thinks in terms of user outcomes, not just code
- B.Tech in Computer Science or related field
Nice to Have
- Experience with fintech, dashboards, or data-heavy products
- Exposure to AI-powered interfaces, chat systems, or real-time data
- Familiarity with cloud platforms like AWS or GCP
- Experience handling sensitive or regulated data
Why Join Alpheva AI
- Build real product used by real users from day one
- Work directly with founders and influence core product decisions
- Learn how AI-native fintech products are built end to end
- High ownership, fast execution, zero corporate nonsense
- Competitive compensation with meaningful growth upside
Why This Role Matters
- We are looking for a Staff Engineer to lead the technical direction and hands-on development of our next-generation, agentic AI-first marketing platforms. This is a high-impact role to architect, build, and ship products that change how marketers interact with data, plan campaigns, and make decisions.
What You'll Do
- Build Gen-AI native products: Architect, build, and ship platforms powered by LLMs, agents, and predictive AI
- Stay hands-on: Design systems, write code, debug, and drive product excellence
- Lead with depth: Mentor a high-caliber team of full stack engineers.
- Speed to market: Rapidly ship and iterate on MVPs to maximize learning and feedback.
- Own the full stack: From backend data pipelines to intuitive UIs—from Airflow to React - from BigQuery to embeddings.
- Scale what works: Ensure scalability, security, and performance in multi-tenant, cloud-native environments (GCP).
- Collaborate deeply: Work closely with product, growth, and leadership to align tech with business priorities.
What You Bring
- 8+ years of experience building and scaling full-stack, data-driven products
- Proficiency in backend (Node.js, Python) and frontend (React), with solid GCP experience
- Strong grasp of data pipelines, analytics, and real-time data processing
- Familiarity with Gen-AI frameworks (LangChain, LlamaIndex, OpenAI APIs, vector databases)
- Proven architectural leadership and technical ownership
- Product mindset with a bias for execution and iteration
Our Tech Stack
- Cloud: Google Cloud Platform
- Backend: Node.js, Python, Airflow
- Data: BigQuery, Cloud SQL
- AI/ML: TensorFlow, OpenAI APIs, custom agents
- Frontend: React.js
What You Get
- Meaningful equity in a high-growth startup
- The chance to build global products from India
- A culture that values clarity, ownership, learning, humility, and candor
- A rare opportunity to build with Gen-AI from the ground up
Who You Are
- You’re initiative-driven, not interruption-driven.
- You code because you love building things that matter.
- You enjoy ambiguity and solve problems from first principles.
- You believe true leadership is contextual, hands-on, and grounded.
- You’re here to build — not just maintain.
- You care deeply about seeing your products empower real users, run reliably at scale, and adapt intelligently with minimal manual effort.
- You know that elegant code is just 30% of the job — the real craft lies in the engineering rigour, edge-case handling, and production resilience that make great products truly dependable.
The discovery platform at Give is an intelligent information platform for the impact space in India. We deal with large amounts of data that needs to be curated and analysed at scale as well as presented on the platform in order for accurate information to be browsed, searched and consumed quickly and efficiently.
To build this platform, we are looking for top-talent for our engineering team - software engineers, who are competent/experienced and love to continue to code at senior levels.
We value commitment to work over skills or experience.
Requirements :
- 4-10 experience in designing and building software.
- Experience with Django/Python or another OOP language and/or MVC framework
- Good and organised coding skills. This role needs a strong developer
- Experience with Javascript/CSS and frontend frameworks is a plus
- Significant attention to detail is key for this role
- Experience with git
- Interest and experience with data science tools and libraries is a plus
Responsibilities :
- Creating high quality analysis of the data over Python/Django
- Creating relevant models around existing data for efficient search and aggregation
- Create relevant techniques/algorithms to aggregate and analyse data
- Owning tech modules entirely from design to deployment
- Presenting data on the front-end using front-end libraries
- Perform code reviews of peers
We are Quamtulum Ventures an upcoming, direct to consumer ecommerce startup based out of Bangalore.
We are looking for a full stack developer with experience in new age tech (HTML5/CSS, Javascript, ReactJS, NodeJS, Angular, Python etc) and the ability to scale and grow with the business. We are a team that is constantly exploring the possibilities of various business ideas/models, customer experience and tech. Hence when you join us, your ability to explore, learn and implement new stuff pretty much on a regular basis will be of paramount importance.
The Software Engineer – Order and Corporate Solutions is responsible for designing, developing, testing, and maintaining the full stack for Order and Corporate solutions.
Essential Job Functions:
- Implement application components and systems according to department standards and guidelines.
- Work with product and designers to translate requirements into accurate representations for the web.
- Analyze, design, code, debug, and test business applications.
- Code reviews in accordance with team processes/standards.
- Understand and work with data in varying degrees of complexity and scale.
- Responsible for planning, processing and performing all jobs in an efficient manner.
- Provide assistance to testers and support personnel as needed to determine system problems.
- Resolve problems involved with integrating new technologies with systems.
* Essential functions are the basic job duties that an employee must be able to perform, with or without reasonable accommodation. The function is considered essential if the reason the position exists is to perform that function.
Supportive Job Functions:
- Remain knowledgeable of new emerging technologies and their impact on internal systems.
- Available to work on call when needed.
- Perform other miscellaneous duties as assigned by management.
*These tasks do not meet the Americans with Disabilities Act definition of essential job functions and usually equal 5% or less of time spent. However, these tasks still constitute important performance aspects of the job.
Knowledge, Skill, and Abilities:
- Experience using C#, JavaScript, and Angular or React.(Must Have)
- Experience with web services and RESTful APIs. (Must Have)
- Experience with ASP.NET, ASP.NET MVC, and ADO.NET. (Must Have)
- Experience with Sql databases. (Must Have)
- Experience with Java, Bootstrap, and Event Queueing.
- Experience with order entry, billing, and accounting.
- Familiarity with modern CI/CD methods.
- Exposure to Python, Django, and AWS.
- Ability to organize, prioritize, and handle multiple assignments on a daily basis.
- Strong and effective inter-personal and communication skills
- Ability to interact professionally with a diverse group of clients and staff.
- Must be able to work flexible hours on-site and remote.
- Must be able to coordinate with other staff and provide technological leadership.
- Ability to work in a complex, dynamic team environment with minimal supervision.
- Must possess good organizational skills.
Education, Experience, and Certification:
- Associate’s or bachelor’s degree preferred (Computer Science, Engineer, etc.), but equivalent work experience in a technology related area may substitute.
- 5+ years relevant experience, required. *
- Experience using version control daily in a developer environment.
- Experience with C#, JavaScript, and Angular or React is required.
- Experience with ASP.NET, ASP.NET MVC, and ADO.NET is required.
- Experience working with MS-SQL database.
- Experience working with Java, Bootstrap, and Event Queueing.
- Experience with order entry, billing, and accounting.
- Exposure to Python, Django, and AWS.
Roles and Responsibility:
• Lead the entire back-end and front-end technology team and act as the go-to resource with in-depth knowledge of technology and product best practices and standards.
• Build scalable backend product architecture that scales through millions of transactions per day.
• Build support systems for monitoring, billing, administration, etc.
• Acting as a single person of contact for the entire product vertical and liaising with the business team to aid the business needs.
• Directly Responsible for the user experience on the platform. Willingness to learn new technologies as required and able to incorporate machine-learning, AI and Big data as the product evolves.
• Responsible for validating the technical feasibility of product ideas, and suggesting likely technical platforms and build-buy options for such ideas.
• Plan and set up a smooth development cycle for getting features from user stories to products.
• Responsible for building deep tech products related to Face Biometrics, Image Forensics, and Risk Analysis.
Skills Required:
Must have:
• Candidate with minimum 5-10 years of solid tech experience, preferably in a growing Start-up.
• Proven Experience in leading the full cycle of mobile (Android/IOS) and web application development processes, from design to implementation.
• Well-versed with tech stacks like Node, Python, Java and/or other latest languages.
• Proven ability to build a solid team and thrive in a dynamic environment.
• Experience with performance testing and optimization of the application for maximum speed and scalability.
• Great analytical skills, data-driven decision making and evolution with technology trends.
• Stronghold in backend development and algorithms.
• Experience with Machine Learning and Data Analysis.
Good to have:
• Exposure to financial risk modeling is a plus.
• Exposure to Image Processing is a plus.
• Exposure to the blockchain is a plus.
The right candidate should be commercially knowledgeable (business acumen) and pragmatic, and have an understanding of a wide range of technologies and methodologies, and should have the ability to choose which fits best. Experience building a technology team or work with a small team from start at a start-up is a plus.
We offer a suite of memberships and subscriptions to spice up your lifestyle. We believe in practicing an ultimate work life balance and satisfaction. Working hard doesn’t mean clocking in extra hours, it means having a zeal to contribute the best of your talents. Our people culture helps us inculcate measures and benefits which help you feel confident and happy each and every day. Whether you’d like to skill up, go off the grid, attend your favourite events or be an epitome of fitness. We have you covered round and about.
- Health Memberships
- Sports Subscriptions
- Entertainment Subscriptions
- Key Conferences and Event Passes
- Learning Stipend
- Team Lunches and Parties
- Travel Reimbursements
- ESOPs
Thast what we think would bloom up your personal life, as a gesture for helping us with your talents.
Join us to be a part of our Exciting journey to Build one Digital Identity Platform!!!
Usually recognized as Team/Technical Leader, Senior Software Engineers Solves big problems that come with a lot of ambiguity. As technical leaders of the team, Sr SDE’s work efficiently and regularly deliver the right things with limited guidance. They take a long term view of team’s software and how it fits into the architecture; fix architecture deficiencies and/or propose larger projects, which may require the work of rest of the team. They understand the business impact of systems and show good judgment when making technical trade-offs between team’s short-term technology or operational needs and longterm business needs. As a key influencer in team strategy, Sr SDE’s drive mindful discussions with customers and peers. They bring perspective and provide context for current technology choices and guide future technology choices.
Sr SDE’s take ownership of team architecture, providing a system-wide view and design guidance. They drive engineering best practices (e.g., Operational Excellence, Security, Quality, etc.) and set standards. They work to resolve the root cause of endemic problems which may require them to influence software decisions made by other teams. When confronted with discordant views, they are able to find the best way forward and influence others to follow that path (build consensus). They actively contribute in recruiting and help others leverage their expertise, by coaching and mentoring in organization or at their locations. They provide technical assessments for promotions in SDE job family.
As a norm, Amazon SDE’s have industry-leading technical abilities. They recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations. They write high quality, maintainable, and robust code, often in Java or C++. They solve problems at their root, stepping back to understand the broader context. They build flexible systems without over-engineering and choose simple, straightforward solutions over more complex ones. They understand a broad range of data structures and algorithms and know how, when and when not to use them; recognize and use design patterns to solve business problems. They understand how operating systems work, perform and scale. Sr SDE’s write software that is easy for others to contribute to.
Amazon SDE’s build software for business’ sake, not for technology’s sake. They have an understanding and empathy for Amazon’s customers and business objectives, particularly those aspects relevant to their teams and divisions. They work in a team, driving things forward, they collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
Key Responsibilities include: - Ability to architect and design right solutions starting with broadly defined problems Provide technical mentorship/leadership to other engineers Drive best practices and engineering excellence Development of code in object oriented languages like Java and C++.
Preferred Qualifications The ability to take raw product requirements and develop software architectures and designs to bring them to life. 10+ years of experience building successful production software systems A solid grounding in Computer Science fundamentals (based on a BS or MS in CS or related field). Post-graduate degree: Master’s or Ph.D. with focus in machine learning is big plus. Development in cloud environment Mastery of the tools of the trade, including a variety of modern programming languages (Java/C++/C#, JavaScript, C/C++,Python) and open-source technologies (Linux, Spring, Hibernate)













